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		<title>AFL Predictions for Week 9</title>
		<link>https://www.statschat.org.nz/2026/04/28/afl-predictions-for-week-9-3/</link>
					<comments>https://www.statschat.org.nz/2026/04/28/afl-predictions-for-week-9-3/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Tue, 28 Apr 2026 00:05:34 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21217</guid>

					<description><![CDATA[<p>Team Ratings for Week 9 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Sydney Swans 25.00 0.56 24.40 Brisbane Lions 24.41 26.20 -1.80 Hawthorn Hawks 22.35 [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/28/afl-predictions-for-week-9-3/">AFL Predictions for Week 9</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Week 9</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Sydney Swans</td>
<td align="right">25.00</td>
<td align="right">0.56</td>
<td align="right">24.40</td>
</tr>
<tr>
<td align="right">Brisbane Lions</td>
<td align="right">24.41</td>
<td align="right">26.20</td>
<td align="right">-1.80</td>
</tr>
<tr>
<td align="right">Hawthorn Hawks</td>
<td align="right">22.35</td>
<td align="right">22.83</td>
<td align="right">-0.50</td>
</tr>
<tr>
<td align="right">Geelong Cats</td>
<td align="right">20.91</td>
<td align="right">26.75</td>
<td align="right">-5.80</td>
</tr>
<tr>
<td align="right">Western Bulldogs</td>
<td align="right">14.93</td>
<td align="right">26.06</td>
<td align="right">-11.10</td>
</tr>
<tr>
<td align="right">Fremantle Dockers</td>
<td align="right">11.39</td>
<td align="right">6.56</td>
<td align="right">4.80</td>
</tr>
<tr>
<td align="right">Collingwood</td>
<td align="right">11.10</td>
<td align="right">11.76</td>
<td align="right">-0.70</td>
</tr>
<tr>
<td align="right">Adelaide Crows</td>
<td align="right">10.17</td>
<td align="right">15.32</td>
<td align="right">-5.10</td>
</tr>
<tr>
<td align="right">Gold Coast Suns</td>
<td align="right">7.64</td>
<td align="right">10.24</td>
<td align="right">-2.60</td>
</tr>
<tr>
<td align="right">GWS Giants</td>
<td align="right">2.41</td>
<td align="right">9.54</td>
<td align="right">-7.10</td>
</tr>
<tr>
<td align="right">St Kilda Saints</td>
<td align="right">1.03</td>
<td align="right">-7.63</td>
<td align="right">8.70</td>
</tr>
<tr>
<td align="right">Melbourne Demons</td>
<td align="right">0.12</td>
<td align="right">1.64</td>
<td align="right">-1.50</td>
</tr>
<tr>
<td align="right">Port Adelaide Power</td>
<td align="right">-8.13</td>
<td align="right">-14.65</td>
<td align="right">6.50</td>
</tr>
<tr>
<td align="right">Carlton Blues</td>
<td align="right">-8.62</td>
<td align="right">-4.77</td>
<td align="right">-3.90</td>
</tr>
<tr>
<td align="right">North Melbourne</td>
<td align="right">-11.79</td>
<td align="right">-21.71</td>
<td align="right">9.90</td>
</tr>
<tr>
<td align="right">Essendon Bombers</td>
<td align="right">-25.32</td>
<td align="right">-27.89</td>
<td align="right">2.60</td>
</tr>
<tr>
<td align="right">Richmond Tigers</td>
<td align="right">-41.60</td>
<td align="right">-29.44</td>
<td align="right">-12.20</td>
</tr>
<tr>
<td align="right">West Coast Eagles</td>
<td align="right">-43.99</td>
<td align="right">-39.36</td>
<td align="right">-4.60</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 63 matches played, 46 of which were correctly predicted, a success rate of 73%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Western Bulldogs vs. Sydney Swans</td>
<td>Apr 23</td>
<td align="right">60 &#8211; 126</td>
<td align="right">12.30</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Richmond Tigers vs. Melbourne Demons</td>
<td>Apr 24</td>
<td align="right">72 &#8211; 126</td>
<td align="right">-33.60</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Hawthorn Hawks vs. Gold Coast Suns</td>
<td>Apr 25</td>
<td align="right">112 &#8211; 63</td>
<td align="right">21.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Essendon Bombers vs. Collingwood</td>
<td>Apr 25</td>
<td align="right">60 &#8211; 137</td>
<td align="right">-23.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Port Adelaide Power vs. Geelong Cats</td>
<td>Apr 25</td>
<td align="right">95 &#8211; 65</td>
<td align="right">-26.30</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">6</td>
<td>Fremantle Dockers vs. Carlton Blues</td>
<td>Apr 25</td>
<td align="right">103 &#8211; 89</td>
<td align="right">34.10</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">7</td>
<td>St Kilda Saints vs. West Coast Eagles</td>
<td>Apr 26</td>
<td align="right">143 &#8211; 42</td>
<td align="right">48.20</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">8</td>
<td>Brisbane Lions vs. Adelaide Crows</td>
<td>Apr 26</td>
<td align="right">127 &#8211; 75</td>
<td align="right">20.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">9</td>
<td>GWS Giants vs. North Melbourne</td>
<td>Apr 26</td>
<td align="right">105 &#8211; 98</td>
<td align="right">28.50</td>
<td>TRUE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Week 9</h2>
<p>Here are the predictions for Week 9. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Collingwood vs. Hawthorn Hawks</td>
<td>Apr 30</td>
<td>Hawthorn Hawks</td>
<td align="right">-11.20</td>
</tr>
<tr>
<td align="right">2</td>
<td>Western Bulldogs vs. Fremantle Dockers</td>
<td>May 01</td>
<td>Western Bulldogs</td>
<td align="right">14.50</td>
</tr>
<tr>
<td align="right">3</td>
<td>Adelaide Crows vs. Port Adelaide Power</td>
<td>May 01</td>
<td>Adelaide Crows</td>
<td align="right">18.30</td>
</tr>
<tr>
<td align="right">4</td>
<td>Essendon Bombers vs. Brisbane Lions</td>
<td>May 02</td>
<td>Brisbane Lions</td>
<td align="right">-38.70</td>
</tr>
<tr>
<td align="right">5</td>
<td>West Coast Eagles vs. Richmond Tigers</td>
<td>May 02</td>
<td>West Coast Eagles</td>
<td align="right">8.60</td>
</tr>
<tr>
<td align="right">6</td>
<td>Geelong Cats vs. North Melbourne</td>
<td>May 02</td>
<td>Geelong Cats</td>
<td align="right">43.70</td>
</tr>
<tr>
<td align="right">7</td>
<td>Carlton Blues vs. St Kilda Saints</td>
<td>May 02</td>
<td>St Kilda Saints</td>
<td align="right">-9.70</td>
</tr>
<tr>
<td align="right">8</td>
<td>Sydney Swans vs. Melbourne Demons</td>
<td>May 03</td>
<td>Sydney Swans</td>
<td align="right">35.90</td>
</tr>
<tr>
<td align="right">9</td>
<td>Gold Coast Suns vs. GWS Giants</td>
<td>May 03</td>
<td>Gold Coast Suns</td>
<td align="right">16.20</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/28/afl-predictions-for-week-9-3/">AFL Predictions for Week 9</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">21217</post-id>	</item>
		<item>
		<title>Rugby Premiership Predictions for Round 15</title>
		<link>https://www.statschat.org.nz/2026/04/28/rugby-premiership-predictions-for-round-15-8/</link>
					<comments>https://www.statschat.org.nz/2026/04/28/rugby-premiership-predictions-for-round-15-8/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Tue, 28 Apr 2026 00:04:33 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21215</guid>

					<description><![CDATA[<p>Team Ratings for Round 15 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Bath 12.92 10.30 2.60 Leicester Tigers 10.24 5.55 4.70 Saracens 9.21 5.03 4.20 [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/28/rugby-premiership-predictions-for-round-15-8/">Rugby Premiership Predictions for Round 15</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Round 15</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Bath</td>
<td align="right">12.92</td>
<td align="right">10.30</td>
<td align="right">2.60</td>
</tr>
<tr>
<td align="right">Leicester Tigers</td>
<td align="right">10.24</td>
<td align="right">5.55</td>
<td align="right">4.70</td>
</tr>
<tr>
<td align="right">Saracens</td>
<td align="right">9.21</td>
<td align="right">5.03</td>
<td align="right">4.20</td>
</tr>
<tr>
<td align="right">Northampton Saints</td>
<td align="right">6.86</td>
<td align="right">-1.47</td>
<td align="right">8.30</td>
</tr>
<tr>
<td align="right">Bristol</td>
<td align="right">5.51</td>
<td align="right">3.66</td>
<td align="right">1.80</td>
</tr>
<tr>
<td align="right">Exeter Chiefs</td>
<td align="right">3.10</td>
<td align="right">-4.58</td>
<td align="right">7.70</td>
</tr>
<tr>
<td align="right">Sale Sharks</td>
<td align="right">-0.83</td>
<td align="right">6.70</td>
<td align="right">-7.50</td>
</tr>
<tr>
<td align="right">Gloucester</td>
<td align="right">-5.88</td>
<td align="right">4.13</td>
<td align="right">-10.00</td>
</tr>
<tr>
<td align="right">Harlequins</td>
<td align="right">-10.66</td>
<td align="right">-3.02</td>
<td align="right">-7.60</td>
</tr>
<tr>
<td align="right">Newcastle Red Bulls</td>
<td align="right">-22.62</td>
<td align="right">-18.45</td>
<td align="right">-4.20</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 70 matches played, 50 of which were correctly predicted, a success rate of 71.4%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Newcastle Red Bulls vs. Bristol</td>
<td>Apr 25</td>
<td align="right">19 &#8211; 52</td>
<td align="right">-19.00</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Harlequins vs. Sale Sharks</td>
<td>Apr 26</td>
<td align="right">33 &#8211; 52</td>
<td align="right">0.00</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Northampton Saints vs. Bath</td>
<td>Apr 26</td>
<td align="right">41 &#8211; 38</td>
<td align="right">0.40</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Saracens vs. Leicester Tigers</td>
<td>Apr 26</td>
<td align="right">19 &#8211; 15</td>
<td align="right">6.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Gloucester vs. Exeter Chiefs</td>
<td>Apr 27</td>
<td align="right">34 &#8211; 31</td>
<td align="right">-3.20</td>
<td>FALSE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Round 15</h2>
<p>Here are the predictions for Round 15. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Gloucester vs. Sale Sharks</td>
<td>May 09</td>
<td>Gloucester</td>
<td align="right">2.00</td>
</tr>
<tr>
<td align="right">2</td>
<td>Bristol vs. Saracens</td>
<td>May 10</td>
<td>Bristol</td>
<td align="right">3.30</td>
</tr>
<tr>
<td align="right">3</td>
<td>Leicester Tigers vs. Northampton Saints</td>
<td>May 10</td>
<td>Leicester Tigers</td>
<td align="right">10.40</td>
</tr>
<tr>
<td align="right">4</td>
<td>Exeter Chiefs vs. Bath</td>
<td>May 11</td>
<td>Bath</td>
<td align="right">-2.80</td>
</tr>
<tr>
<td align="right">5</td>
<td>Newcastle Red Bulls vs. Harlequins</td>
<td>May 11</td>
<td>Harlequins</td>
<td align="right">-5.00</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/28/rugby-premiership-predictions-for-round-15-8/">Rugby Premiership Predictions for Round 15</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">21215</post-id>	</item>
		<item>
		<title>Top 14 Predictions for Round 23</title>
		<link>https://www.statschat.org.nz/2026/04/28/top-14-predictions-for-round-23-7/</link>
					<comments>https://www.statschat.org.nz/2026/04/28/top-14-predictions-for-round-23-7/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Tue, 28 Apr 2026 00:02:24 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21213</guid>

					<description><![CDATA[<p>Team Ratings for Round 23 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Stade Toulousain 13.83 11.56 2.30 Montpellier 5.15 -0.21 5.40 Bordeaux Begles 5.07 4.78 [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/28/top-14-predictions-for-round-23-7/">Top 14 Predictions for Round 23</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Round 23</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Stade Toulousain</td>
<td align="right">13.83</td>
<td align="right">11.56</td>
<td align="right">2.30</td>
</tr>
<tr>
<td align="right">Montpellier</td>
<td align="right">5.15</td>
<td align="right">-0.21</td>
<td align="right">5.40</td>
</tr>
<tr>
<td align="right">Bordeaux Begles</td>
<td align="right">5.07</td>
<td align="right">4.78</td>
<td align="right">0.30</td>
</tr>
<tr>
<td align="right">Section Paloise</td>
<td align="right">4.38</td>
<td align="right">2.21</td>
<td align="right">2.20</td>
</tr>
<tr>
<td align="right">Stade Rochelais</td>
<td align="right">3.57</td>
<td align="right">1.22</td>
<td align="right">2.40</td>
</tr>
<tr>
<td align="right">Clermont</td>
<td align="right">3.51</td>
<td align="right">1.88</td>
<td align="right">1.60</td>
</tr>
<tr>
<td align="right">Stade Francais</td>
<td align="right">2.97</td>
<td align="right">-2.17</td>
<td align="right">5.10</td>
</tr>
<tr>
<td align="right">Racing 92</td>
<td align="right">2.83</td>
<td align="right">1.88</td>
<td align="right">0.90</td>
</tr>
<tr>
<td align="right">Toulon</td>
<td align="right">0.41</td>
<td align="right">3.49</td>
<td align="right">-3.10</td>
</tr>
<tr>
<td align="right">Lyon</td>
<td align="right">0.05</td>
<td align="right">-0.45</td>
<td align="right">0.50</td>
</tr>
<tr>
<td align="right">Castres Olympique</td>
<td align="right">-1.05</td>
<td align="right">0.59</td>
<td align="right">-1.60</td>
</tr>
<tr>
<td align="right">Bayonne</td>
<td align="right">-2.86</td>
<td align="right">1.48</td>
<td align="right">-4.30</td>
</tr>
<tr>
<td align="right">USA Perpignan</td>
<td align="right">-4.59</td>
<td align="right">-3.37</td>
<td align="right">-1.20</td>
</tr>
<tr>
<td align="right">Montauban</td>
<td align="right">-20.38</td>
<td align="right">-10.00</td>
<td align="right">-10.40</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 154 matches played, 119 of which were correctly predicted, a success rate of 77.3%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Bordeaux Begles vs. Montpellier</td>
<td>Apr 26</td>
<td align="right">21 &#8211; 23</td>
<td align="right">7.10</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Lyon vs. Castres Olympique</td>
<td>Apr 26</td>
<td align="right">26 &#8211; 21</td>
<td align="right">8.00</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Montauban vs. Racing 92</td>
<td>Apr 26</td>
<td align="right">10 &#8211; 59</td>
<td align="right">-14.70</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Stade Francais vs. Section Paloise</td>
<td>Apr 26</td>
<td align="right">34 &#8211; 32</td>
<td align="right">5.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Toulon vs. Bayonne</td>
<td>Apr 26</td>
<td align="right">52 &#8211; 26</td>
<td align="right">8.60</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">6</td>
<td>USA Perpignan vs. Stade Rochelais</td>
<td>Apr 26</td>
<td align="right">29 &#8211; 31</td>
<td align="right">-1.60</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">7</td>
<td>Stade Toulousain vs. Clermont</td>
<td>Apr 27</td>
<td align="right">24 &#8211; 27</td>
<td align="right">18.20</td>
<td>FALSE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Round 23</h2>
<p>Here are the predictions for Round 23. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Bayonne vs. Bordeaux Begles</td>
<td>May 10</td>
<td>Bordeaux Begles</td>
<td align="right">-1.40</td>
</tr>
<tr>
<td align="right">2</td>
<td>Clermont vs. USA Perpignan</td>
<td>May 10</td>
<td>Clermont</td>
<td align="right">14.60</td>
</tr>
<tr>
<td align="right">3</td>
<td>Montpellier vs. Montauban</td>
<td>May 10</td>
<td>Montpellier</td>
<td align="right">32.00</td>
</tr>
<tr>
<td align="right">4</td>
<td>Section Paloise vs. Castres Olympique</td>
<td>May 10</td>
<td>Section Paloise</td>
<td align="right">11.90</td>
</tr>
<tr>
<td align="right">5</td>
<td>Stade Francais vs. Lyon</td>
<td>May 10</td>
<td>Stade Francais</td>
<td align="right">9.40</td>
</tr>
<tr>
<td align="right">6</td>
<td>Toulon vs. Stade Toulousain</td>
<td>May 10</td>
<td>Stade Toulousain</td>
<td align="right">-6.90</td>
</tr>
<tr>
<td align="right">7</td>
<td>Racing 92 vs. Stade Rochelais</td>
<td>May 11</td>
<td>Racing 92</td>
<td align="right">5.80</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/28/top-14-predictions-for-round-23-7/">Top 14 Predictions for Round 23</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<post-id xmlns="com-wordpress:feed-additions:1">21213</post-id>	</item>
		<item>
		<title>NRL Predictions for Round 9</title>
		<link>https://www.statschat.org.nz/2026/04/28/nrl-predictions-for-round-9-13/</link>
					<comments>https://www.statschat.org.nz/2026/04/28/nrl-predictions-for-round-9-13/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Mon, 27 Apr 2026 23:57:06 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21205</guid>

					<description><![CDATA[<p>Team Ratings for Round 9 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Panthers 15.07 8.77 6.30 Roosters 7.58 9.50 -1.90 Broncos 5.58 7.06 -1.50 Sharks [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/28/nrl-predictions-for-round-9-13/">NRL Predictions for Round 9</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Round 9</h2>
<p>The basic method is described on my Department <a href='http://www.stat.auckland.ac.nz/~dscott'>home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border='1' rules='all'>
<tr>
<th>  </th>
<th> Current Rating </th>
<th> Rating at Season Start </th>
<th> Difference </th>
</tr>
<tr>
<td align="right"> Panthers </td>
<td align="right"> 15.07 </td>
<td align="right"> 8.77 </td>
<td align="right"> 6.30 </td>
</tr>
<tr>
<td align="right"> Roosters </td>
<td align="right"> 7.58 </td>
<td align="right"> 9.50 </td>
<td align="right"> -1.90 </td>
</tr>
<tr>
<td align="right"> Broncos </td>
<td align="right"> 5.58 </td>
<td align="right"> 7.06 </td>
<td align="right"> -1.50 </td>
</tr>
<tr>
<td align="right"> Sharks </td>
<td align="right"> 4.40 </td>
<td align="right"> 7.25 </td>
<td align="right"> -2.80 </td>
</tr>
<tr>
<td align="right"> Sea Eagles </td>
<td align="right"> 2.45 </td>
<td align="right"> 0.21 </td>
<td align="right"> 2.20 </td>
</tr>
<tr>
<td align="right"> Warriors </td>
<td align="right"> 2.32 </td>
<td align="right"> -1.18 </td>
<td align="right"> 3.50 </td>
</tr>
<tr>
<td align="right"> Rabbitohs </td>
<td align="right"> 0.83 </td>
<td align="right"> -5.05 </td>
<td align="right"> 5.90 </td>
</tr>
<tr>
<td align="right"> Storm </td>
<td align="right"> 0.29 </td>
<td align="right"> 6.96 </td>
<td align="right"> -6.70 </td>
</tr>
<tr>
<td align="right"> Dolphins </td>
<td align="right"> 0.12 </td>
<td align="right"> 1.85 </td>
<td align="right"> -1.70 </td>
</tr>
<tr>
<td align="right"> Wests Tigers </td>
<td align="right"> -0.31 </td>
<td align="right"> -7.26 </td>
<td align="right"> 6.90 </td>
</tr>
<tr>
<td align="right"> Bulldogs </td>
<td align="right"> -0.94 </td>
<td align="right"> 2.13 </td>
<td align="right"> -3.10 </td>
</tr>
<tr>
<td align="right"> Cowboys </td>
<td align="right"> -1.92 </td>
<td align="right"> -2.69 </td>
<td align="right"> 0.80 </td>
</tr>
<tr>
<td align="right"> Raiders </td>
<td align="right"> -2.80 </td>
<td align="right"> 1.62 </td>
<td align="right"> -4.40 </td>
</tr>
<tr>
<td align="right"> Eels </td>
<td align="right"> -5.15 </td>
<td align="right"> -0.37 </td>
<td align="right"> -4.80 </td>
</tr>
<tr>
<td align="right"> Titans </td>
<td align="right"> -5.40 </td>
<td align="right"> -8.02 </td>
<td align="right"> 2.60 </td>
</tr>
<tr>
<td align="right"> Knights </td>
<td align="right"> -9.30 </td>
<td align="right"> -14.06 </td>
<td align="right"> 4.80 </td>
</tr>
<tr>
<td align="right"> Dragons </td>
<td align="right"> -12.81 </td>
<td align="right"> -6.72 </td>
<td align="right"> -6.10 </td>
</tr>
</table>
<h2>Performance So Far</h2>
<p>So far there have been 64 matches played, 36 of which were correctly predicted, a success rate of 56.2%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border='1' rules='all'>
<tr>
<th>  </th>
<th> Game </th>
<th> Date </th>
<th> Score </th>
<th> Prediction </th>
<th> Correct </th>
</tr>
<tr>
<td align="right"> 1 </td>
<td> Wests Tigers vs. Raiders </td>
<td> Apr 23 </td>
<td align="right"> 33 &#8211; 14 </td>
<td align="right"> 4.30 </td>
<td> TRUE </td>
</tr>
<tr>
<td align="right"> 2 </td>
<td> Cowboys vs. Sharks </td>
<td> Apr 24 </td>
<td align="right"> 46 &#8211; 34 </td>
<td align="right"> -4.70 </td>
<td> FALSE </td>
</tr>
<tr>
<td align="right"> 3 </td>
<td> Broncos vs. Bulldogs </td>
<td> Apr 24 </td>
<td align="right"> 32 &#8211; 12 </td>
<td align="right"> 8.80 </td>
<td> TRUE </td>
</tr>
<tr>
<td align="right"> 4 </td>
<td> Dragons vs. Roosters </td>
<td> Apr 25 </td>
<td align="right"> 16 &#8211; 62 </td>
<td align="right"> -21.00 </td>
<td> TRUE </td>
</tr>
<tr>
<td align="right"> 5 </td>
<td> Warriors vs. Dolphins </td>
<td> Apr 25 </td>
<td align="right"> 20 &#8211; 18 </td>
<td align="right"> 7.40 </td>
<td> TRUE </td>
</tr>
<tr>
<td align="right"> 6 </td>
<td> Storm vs. Rabbitohs </td>
<td> Apr 25 </td>
<td align="right"> 6 &#8211; 48 </td>
<td align="right"> 9.80 </td>
<td> FALSE </td>
</tr>
<tr>
<td align="right"> 7 </td>
<td> Knights vs. Panthers </td>
<td> Apr 26 </td>
<td align="right"> 12 &#8211; 44 </td>
<td align="right"> -18.30 </td>
<td> TRUE </td>
</tr>
<tr>
<td align="right"> 8 </td>
<td> Sea Eagles vs. Eels </td>
<td> Apr 26 </td>
<td align="right"> 33 &#8211; 18 </td>
<td align="right"> 10.60 </td>
<td> TRUE </td>
</tr>
</table>
<h2>Predictions for Round 9</h2>
<p>Here are the predictions for Round 9. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border='1' rules='all'>
<tr>
<th>  </th>
<th> Game </th>
<th> Date </th>
<th> Winner </th>
<th> Prediction </th>
</tr>
<tr>
<td align="right"> 1 </td>
<td> Bulldogs vs. Cowboys </td>
<td> May 01 </td>
<td> Bulldogs </td>
<td align="right"> 5.00 </td>
</tr>
<tr>
<td align="right"> 2 </td>
<td> Dolphins vs. Storm </td>
<td> May 01 </td>
<td> Dolphins </td>
<td align="right"> 3.80 </td>
</tr>
<tr>
<td align="right"> 3 </td>
<td> Titans vs. Raiders </td>
<td> May 02 </td>
<td> Titans </td>
<td align="right"> 1.40 </td>
</tr>
<tr>
<td align="right"> 4 </td>
<td> Eels vs. Warriors </td>
<td> May 02 </td>
<td> Warriors </td>
<td align="right"> -3.50 </td>
</tr>
<tr>
<td align="right"> 5 </td>
<td> Roosters vs. Broncos </td>
<td> May 02 </td>
<td> Roosters </td>
<td align="right"> 6.00 </td>
</tr>
<tr>
<td align="right"> 6 </td>
<td> Knights vs. Rabbitohs </td>
<td> May 03 </td>
<td> Rabbitohs </td>
<td align="right"> -6.10 </td>
</tr>
<tr>
<td align="right"> 7 </td>
<td> Sharks vs. Wests Tigers </td>
<td> May 03 </td>
<td> Sharks </td>
<td align="right"> 8.70 </td>
</tr>
<tr>
<td align="right"> 8 </td>
<td> Panthers vs. Sea Eagles </td>
<td> May 03 </td>
<td> Panthers </td>
<td align="right"> 16.60 </td>
</tr>
</table>The post <a href="https://www.statschat.org.nz/2026/04/28/nrl-predictions-for-round-9-13/">NRL Predictions for Round 9</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<post-id xmlns="com-wordpress:feed-additions:1">21205</post-id>	</item>
		<item>
		<title>United Rugby Championship Predictions for Week 17</title>
		<link>https://www.statschat.org.nz/2026/04/28/united-rugby-championship-predictions-for-week-17-5/</link>
					<comments>https://www.statschat.org.nz/2026/04/28/united-rugby-championship-predictions-for-week-17-5/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Mon, 27 Apr 2026 23:53:23 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21210</guid>

					<description><![CDATA[<p>Team Ratings for Week 17 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Bulls 8.87 8.86 0.00 Leinster 8.00 13.41 -5.40 Stormers 6.62 4.17 2.50 Glasgow [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/28/united-rugby-championship-predictions-for-week-17-5/">United Rugby Championship Predictions for Week 17</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Week 17</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Bulls</td>
<td align="right">8.87</td>
<td align="right">8.86</td>
<td align="right">0.00</td>
</tr>
<tr>
<td align="right">Leinster</td>
<td align="right">8.00</td>
<td align="right">13.41</td>
<td align="right">-5.40</td>
</tr>
<tr>
<td align="right">Stormers</td>
<td align="right">6.62</td>
<td align="right">4.17</td>
<td align="right">2.50</td>
</tr>
<tr>
<td align="right">Glasgow</td>
<td align="right">5.37</td>
<td align="right">6.18</td>
<td align="right">-0.80</td>
</tr>
<tr>
<td align="right">Lions</td>
<td align="right">3.93</td>
<td align="right">-1.19</td>
<td align="right">5.10</td>
</tr>
<tr>
<td align="right">Munster</td>
<td align="right">3.51</td>
<td align="right">3.65</td>
<td align="right">-0.10</td>
</tr>
<tr>
<td align="right">Connacht</td>
<td align="right">0.65</td>
<td align="right">-1.39</td>
<td align="right">2.00</td>
</tr>
<tr>
<td align="right">Ulster</td>
<td align="right">0.27</td>
<td align="right">-3.24</td>
<td align="right">3.50</td>
</tr>
<tr>
<td align="right">Sharks</td>
<td align="right">0.10</td>
<td align="right">1.29</td>
<td align="right">-1.20</td>
</tr>
<tr>
<td align="right">Cardiff Rugby</td>
<td align="right">-1.69</td>
<td align="right">-2.74</td>
<td align="right">1.00</td>
</tr>
<tr>
<td align="right">Scarlets</td>
<td align="right">-2.47</td>
<td align="right">-0.54</td>
<td align="right">-1.90</td>
</tr>
<tr>
<td align="right">Ospreys</td>
<td align="right">-2.65</td>
<td align="right">-2.15</td>
<td align="right">-0.50</td>
</tr>
<tr>
<td align="right">Edinburgh</td>
<td align="right">-2.82</td>
<td align="right">2.67</td>
<td align="right">-5.50</td>
</tr>
<tr>
<td align="right">Benetton</td>
<td align="right">-5.38</td>
<td align="right">-2.32</td>
<td align="right">-3.10</td>
</tr>
<tr>
<td align="right">Dragons</td>
<td align="right">-9.62</td>
<td align="right">-15.66</td>
<td align="right">6.00</td>
</tr>
<tr>
<td align="right">Zebre</td>
<td align="right">-12.71</td>
<td align="right">-11.02</td>
<td align="right">-1.70</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 128 matches played, 88 of which were correctly predicted, a success rate of 68.8%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Cardiff Rugby vs. Ospreys</td>
<td>Apr 25</td>
<td align="right">24 &#8211; 21</td>
<td align="right">2.90</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Edinburgh vs. Sharks</td>
<td>Apr 25</td>
<td align="right">33 &#8211; 28</td>
<td align="right">3.80</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Zebre vs. Dragons</td>
<td>Apr 25</td>
<td align="right">18 &#8211; 19</td>
<td align="right">5.30</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Stormers vs. Glasgow</td>
<td>Apr 25</td>
<td align="right">48 &#8211; 12</td>
<td align="right">5.40</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Lions vs. Connacht</td>
<td>Apr 26</td>
<td align="right">33 &#8211; 21</td>
<td align="right">9.80</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">6</td>
<td>Munster vs. Ulster</td>
<td>Apr 26</td>
<td align="right">41 &#8211; 14</td>
<td align="right">2.80</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">7</td>
<td>Benetton vs. Leinster</td>
<td>Apr 26</td>
<td align="right">29 &#8211; 26</td>
<td align="right">-7.70</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">8</td>
<td>Scarlets vs. Bulls</td>
<td>Apr 26</td>
<td align="right">21 &#8211; 23</td>
<td align="right">-5.00</td>
<td>TRUE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Week 17</h2>
<p>Here are the predictions for Week 17. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Glasgow vs. Cardiff Rugby</td>
<td>May 09</td>
<td>Glasgow</td>
<td align="right">14.10</td>
</tr>
<tr>
<td align="right">2</td>
<td>Ulster vs. Stormers</td>
<td>May 09</td>
<td>Ulster</td>
<td align="right">0.70</td>
</tr>
<tr>
<td align="right">3</td>
<td>Bulls vs. Zebre</td>
<td>May 09</td>
<td>Bulls</td>
<td align="right">28.60</td>
</tr>
<tr>
<td align="right">4</td>
<td>Sharks vs. Benetton</td>
<td>May 10</td>
<td>Sharks</td>
<td align="right">12.50</td>
</tr>
<tr>
<td align="right">5</td>
<td>Leinster vs. Lions</td>
<td>May 10</td>
<td>Leinster</td>
<td align="right">11.10</td>
</tr>
<tr>
<td align="right">6</td>
<td>Ospreys vs. Scarlets</td>
<td>May 10</td>
<td>Ospreys</td>
<td align="right">1.80</td>
</tr>
<tr>
<td align="right">7</td>
<td>Connacht vs. Munster</td>
<td>May 10</td>
<td>Munster</td>
<td align="right">-0.90</td>
</tr>
<tr>
<td align="right">8</td>
<td>Dragons vs. Edinburgh</td>
<td>May 10</td>
<td>Dragons</td>
<td align="right">0.20</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/28/united-rugby-championship-predictions-for-week-17-5/">United Rugby Championship Predictions for Week 17</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<post-id xmlns="com-wordpress:feed-additions:1">21210</post-id>	</item>
		<item>
		<title>Super Rugby Predictions for Week 12</title>
		<link>https://www.statschat.org.nz/2026/04/28/super-rugby-predictions-for-week-12-6/</link>
					<comments>https://www.statschat.org.nz/2026/04/28/super-rugby-predictions-for-week-12-6/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Mon, 27 Apr 2026 23:49:03 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21207</guid>

					<description><![CDATA[<p>Team Ratings for Week 12 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Hurricanes 12.70 8.29 4.40 Chiefs 12.04 12.36 -0.30 Blues 8.35 8.91 -0.60 Crusaders [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/28/super-rugby-predictions-for-week-12-6/">Super Rugby Predictions for Week 12</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Week 12</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Hurricanes</td>
<td align="right">12.70</td>
<td align="right">8.29</td>
<td align="right">4.40</td>
</tr>
<tr>
<td align="right">Chiefs</td>
<td align="right">12.04</td>
<td align="right">12.36</td>
<td align="right">-0.30</td>
</tr>
<tr>
<td align="right">Blues</td>
<td align="right">8.35</td>
<td align="right">8.91</td>
<td align="right">-0.60</td>
</tr>
<tr>
<td align="right">Crusaders</td>
<td align="right">7.53</td>
<td align="right">8.41</td>
<td align="right">-0.90</td>
</tr>
<tr>
<td align="right">Brumbies</td>
<td align="right">4.01</td>
<td align="right">5.59</td>
<td align="right">-1.60</td>
</tr>
<tr>
<td align="right">Reds</td>
<td align="right">0.81</td>
<td align="right">1.74</td>
<td align="right">-0.90</td>
</tr>
<tr>
<td align="right">Highlanders</td>
<td align="right">-2.45</td>
<td align="right">-3.06</td>
<td align="right">0.60</td>
</tr>
<tr>
<td align="right">Western Force</td>
<td align="right">-4.01</td>
<td align="right">-6.29</td>
<td align="right">2.30</td>
</tr>
<tr>
<td align="right">Waratahs</td>
<td align="right">-4.74</td>
<td align="right">-5.84</td>
<td align="right">1.10</td>
</tr>
<tr>
<td align="right">Fijian Drua</td>
<td align="right">-7.65</td>
<td align="right">-7.64</td>
<td align="right">-0.00</td>
</tr>
<tr>
<td align="right">Moana Pasifika</td>
<td align="right">-12.00</td>
<td align="right">-7.88</td>
<td align="right">-4.10</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 53 matches played, 37 of which were correctly predicted, a success rate of 69.8%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Crusaders vs. Waratahs</td>
<td>Apr 24</td>
<td align="right">35 &#8211; 20</td>
<td align="right">15.90</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Hurricanes vs. Brumbies</td>
<td>Apr 25</td>
<td align="right">45 &#8211; 12</td>
<td align="right">10.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Blues vs. Reds</td>
<td>Apr 25</td>
<td align="right">36 &#8211; 33</td>
<td align="right">11.80</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Highlanders vs. Moana Pasifika</td>
<td>Apr 26</td>
<td align="right">27 &#8211; 17</td>
<td align="right">9.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Chiefs vs. Fijian Drua</td>
<td>Apr 26</td>
<td align="right">42 &#8211; 22</td>
<td align="right">23.60</td>
<td>TRUE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Week 12</h2>
<p>Here are the predictions for Week 12. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Hurricanes vs. Crusaders</td>
<td>May 01</td>
<td>Hurricanes</td>
<td align="right">10.20</td>
</tr>
<tr>
<td align="right">2</td>
<td>Waratahs vs. Western Force</td>
<td>May 01</td>
<td>Waratahs</td>
<td align="right">4.30</td>
</tr>
<tr>
<td align="right">3</td>
<td>Fijian Drua vs. Highlanders</td>
<td>May 02</td>
<td>Highlanders</td>
<td align="right">-1.70</td>
</tr>
<tr>
<td align="right">4</td>
<td>Moana Pasifika vs. Blues</td>
<td>May 02</td>
<td>Blues</td>
<td align="right">-15.40</td>
</tr>
<tr>
<td align="right">5</td>
<td>Reds vs. Brumbies</td>
<td>May 02</td>
<td>Reds</td>
<td align="right">1.80</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/28/super-rugby-predictions-for-week-12-6/">Super Rugby Predictions for Week 12</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<post-id xmlns="com-wordpress:feed-additions:1">21207</post-id>	</item>
		<item>
		<title>Green and full of terrors</title>
		<link>https://www.statschat.org.nz/2026/04/21/green-and-full-of-terrors-2/</link>
					<comments>https://www.statschat.org.nz/2026/04/21/green-and-full-of-terrors-2/#respond</comments>
		
		<dc:creator><![CDATA[Thomas Lumley]]></dc:creator>
		<pubDate>Tue, 21 Apr 2026 01:11:50 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21189</guid>

					<description><![CDATA[<p>If you want to get a health story into the papers it helps if it sounds controversial and it especially helps if it tells people they can eat food they want to eat: thus the frequency of stories about chocolate, wine, and beer. This week&#8217;s version is a not-very-detailed abstract from a conference in the [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/21/green-and-full-of-terrors-2/">Green and full of terrors</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<p>If you want to get a health story into the papers it helps if it sounds controversial and it especially helps if it tells people they can eat food they want to eat: thus the frequency of stories about chocolate, wine, and beer.</p>
<p>This week&#8217;s version is a not-very-detailed abstract from a conference in the US that purportedly says healthy food gives you lung cancer. And when I say that&#8217;s what the study purportedly shows, I mean:</p>
<ul>
<li><a href="https://www.msn.com/en-nz/news/other/eating-fruits-vegetables-and-whole-grains-may-increase-chance-of-early-onset-lung-cancer/ar-AA218HYW">MSN</a>: <strong>Eating fruits, vegetables and whole grains may increase chance of early onset lung cancer</strong></li>
<li>The <a href="https://www.independent.co.uk/news/health/fruits-vegetables-lung-cancer-risk-pesticides-b2960685.html">Independent</a>: <strong>Eating more fruits and vegetables could put you at risk for this cancer</strong></li>
<li><a href="https://www.newsweek.com/fruits-and-vegetables-may-increase-your-cancer-risk-new-research-shows-11855518">Newsweek</a>: <strong>Fruits and Vegetables May Increase Your Cancer Risk, New Research Shows</strong></li>
<li>and even the researchers&#8217; own <a href="https://news.keckmedicine.org/eating-fruits-vegetables-and-whole-grains-may-increase-chance-of-early-onset-lung-cancer/#">press release</a>: <strong>Eating fruits, vegetables and whole grains may increase chance of early onset lung cancer</strong></li>
</ul>
<p>One exception is <a href="https://arstechnica.com/health/2026/04/absurdly-bad-study-spurs-headlines-linking-healthy-diet-to-lung-cancer/">Ars Technica</a>, headlining the story as <strong>Absurd study suggests eating fruits and vegetables leads to cancer.</strong></p>
<p>The press release says</p>
<blockquote><p><em>“Our research shows that younger non-smokers who eat a higher quantity of healthy foods than the general population are more likely to develop lung cancer,” said Jorge Nieva, MD,</em></p></blockquote>
<p>and, no, it really doesn&#8217;t show that.  For a start, we shouldn&#8217;t really be advertising  health advice to the general public based on just a conference abstract, with so little detail. In this case even the limited detail we have is enough to say that this shouldn&#8217;t be a big health story.</p>
<p><a href="https://www.abstractsonline.com/pp8/#!/21436/presentation/1647">The research</a> is part of a project to study lung cancer in younger people who don&#8217;t smoke. It used to be that nearly all lung cancer cases were in older people who had been smokers, but one of the victories of global public health is to reduce the number of cases like this.    Clearly, if someone has lung cancer at age 30 it isn&#8217;t because they&#8217;ve been smoking for fifty years &#8212; and in fact, many of them haven&#8217;t smoked at all. So, there&#8217;s interest in studying what causes their lung cancer.  The Epidemiology of Young Lung Cancer study wants to look at genetic attributes and environmental risk factors for lung cancer before age 40.</p>
<p>Finding a control group is hard. You can&#8217;t just recruit a <a href="https://dunedinstudy.otago.ac.nz/">whole bunch</a> of <a href="https://www.growingup.co.nz/">young people</a> and see who gets lung cancer, because it&#8217;s an very rare disease: you won&#8217;t find anyone.  You need to look for diagnosed cases, but then you need to decide who to compare them to. In this research the people with lung cancer were compared to people in a big national survey series, NHANES, which asks about diet.</p>
<p>The primary reported finding is that young people diagnosed with lung cancer had healthier diets (according to one measure) than the average of the US population.  The researchers don&#8217;t say they expected to see this, and my guess is they didn&#8217;t.  Their theory is that pesticides &#8212; in some generic holistic sense &#8212; are responsible.  It&#8217;s obviously not impossible that pesticides could be carcinogenic, but this doesn&#8217;t seem like a very good way to find out. In particular, while the people in the study all have lung cancer, they don&#8217;t all have similar mutations in their tumours  &#8212; they don&#8217;t have the <em>same sort</em> of lung cancer &#8212; and there&#8217;s literally zero actual data on pesticides, just an assumption that they&#8217;re present in healthier food, so this isn&#8217;t picking out some sort of <a href="https://en.wikipedia.org/wiki/Clear-cell_adenocarcinoma_of_the_vagina">ultra-selective</a> cancer effect.</p>
<p>Everything here is correlations, but better correlational studies with controls consistently find that people with lung cancer eat less of the fruit and vegetables and high-fibre foods than people without lung cancer (eg <a href="https://pubmed.ncbi.nlm.nih.gov/14601062/">here).</a> There&#8217;s a theoretical argument that a diet high in anti-oxidants might reduce the body&#8217;s ability destroy cancer, but you wouldn&#8217;t look at a small, unusual subset of lung cancers to study this question.  There are perfectly good alternative reasons why the young lung cancer patients might have healthier diets than the US average. They&#8217;re young, for a start.  They have had their cancers diagnosed early enough to end up in a study like this one, which will correlate with income and interest in medical science. They&#8217;re non-smokers.</p>
<p>If unreliable evidence of a healthier diet in a subset of people with lung cancer is taken as evidence of harm from pesticides, should we take evidence of a less healthy diet in other groups of people with serious illness as evidence that pesticides are beneficial?</p>The post <a href="https://www.statschat.org.nz/2026/04/21/green-and-full-of-terrors-2/">Green and full of terrors</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<post-id xmlns="com-wordpress:feed-additions:1">21189</post-id>	</item>
		<item>
		<title>AFL Predictions for Week 8</title>
		<link>https://www.statschat.org.nz/2026/04/21/afl-predictions-for-week-8-3/</link>
					<comments>https://www.statschat.org.nz/2026/04/21/afl-predictions-for-week-8-3/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Mon, 20 Apr 2026 22:56:40 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21195</guid>

					<description><![CDATA[<p>Team Ratings for Week 8 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Geelong Cats 25.06 26.75 -1.70 Brisbane Lions 22.02 26.20 -4.20 Western Bulldogs 20.59 [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/21/afl-predictions-for-week-8-3/">AFL Predictions for Week 8</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Week 8</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Geelong Cats</td>
<td align="right">25.06</td>
<td align="right">26.75</td>
<td align="right">-1.70</td>
</tr>
<tr>
<td align="right">Brisbane Lions</td>
<td align="right">22.02</td>
<td align="right">26.20</td>
<td align="right">-4.20</td>
</tr>
<tr>
<td align="right">Western Bulldogs</td>
<td align="right">20.59</td>
<td align="right">26.06</td>
<td align="right">-5.50</td>
</tr>
<tr>
<td align="right">Hawthorn Hawks</td>
<td align="right">20.25</td>
<td align="right">22.83</td>
<td align="right">-2.60</td>
</tr>
<tr>
<td align="right">Sydney Swans</td>
<td align="right">19.33</td>
<td align="right">0.56</td>
<td align="right">18.80</td>
</tr>
<tr>
<td align="right">Fremantle Dockers</td>
<td align="right">12.95</td>
<td align="right">6.56</td>
<td align="right">6.40</td>
</tr>
<tr>
<td align="right">Adelaide Crows</td>
<td align="right">12.56</td>
<td align="right">15.32</td>
<td align="right">-2.80</td>
</tr>
<tr>
<td align="right">Gold Coast Suns</td>
<td align="right">9.73</td>
<td align="right">10.24</td>
<td align="right">-0.50</td>
</tr>
<tr>
<td align="right">Collingwood</td>
<td align="right">7.16</td>
<td align="right">11.76</td>
<td align="right">-4.60</td>
</tr>
<tr>
<td align="right">GWS Giants</td>
<td align="right">4.07</td>
<td align="right">9.54</td>
<td align="right">-5.50</td>
</tr>
<tr>
<td align="right">Melbourne Demons</td>
<td align="right">-1.46</td>
<td align="right">1.64</td>
<td align="right">-3.10</td>
</tr>
<tr>
<td align="right">St Kilda Saints</td>
<td align="right">-2.87</td>
<td align="right">-7.63</td>
<td align="right">4.80</td>
</tr>
<tr>
<td align="right">Carlton Blues</td>
<td align="right">-10.18</td>
<td align="right">-4.77</td>
<td align="right">-5.40</td>
</tr>
<tr>
<td align="right">Port Adelaide Power</td>
<td align="right">-12.27</td>
<td align="right">-14.65</td>
<td align="right">2.40</td>
</tr>
<tr>
<td align="right">North Melbourne</td>
<td align="right">-13.45</td>
<td align="right">-21.71</td>
<td align="right">8.30</td>
</tr>
<tr>
<td align="right">Essendon Bombers</td>
<td align="right">-21.38</td>
<td align="right">-27.89</td>
<td align="right">6.50</td>
</tr>
<tr>
<td align="right">Richmond Tigers</td>
<td align="right">-40.01</td>
<td align="right">-29.44</td>
<td align="right">-10.60</td>
</tr>
<tr>
<td align="right">West Coast Eagles</td>
<td align="right">-40.10</td>
<td align="right">-39.36</td>
<td align="right">-0.70</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 54 matches played, 39 of which were correctly predicted, a success rate of 72.2%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Carlton Blues vs. Collingwood</td>
<td>Apr 16</td>
<td align="right">83 &#8211; 88</td>
<td align="right">-19.70</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Geelong Cats vs. Western Bulldogs</td>
<td>Apr 17</td>
<td align="right">131 &#8211; 56</td>
<td align="right">5.30</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Sydney Swans vs. GWS Giants</td>
<td>Apr 17</td>
<td align="right">107 &#8211; 66</td>
<td align="right">23.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Gold Coast Suns vs. Essendon Bombers</td>
<td>Apr 18</td>
<td align="right">119 &#8211; 110</td>
<td align="right">48.00</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Hawthorn Hawks vs. Port Adelaide Power</td>
<td>Apr 18</td>
<td align="right">89 &#8211; 86</td>
<td align="right">50.60</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">6</td>
<td>Adelaide Crows vs. St Kilda Saints</td>
<td>Apr 18</td>
<td align="right">103 &#8211; 102</td>
<td align="right">31.00</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">7</td>
<td>North Melbourne vs. Richmond Tigers</td>
<td>Apr 19</td>
<td align="right">130 &#8211; 55</td>
<td align="right">18.20</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">8</td>
<td>Melbourne Demons vs. Brisbane Lions</td>
<td>Apr 19</td>
<td align="right">104 &#8211; 102</td>
<td align="right">-15.20</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">9</td>
<td>West Coast Eagles vs. Fremantle Dockers</td>
<td>Apr 19</td>
<td align="right">41 &#8211; 97</td>
<td align="right">-52.40</td>
<td>TRUE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Week 8</h2>
<p>Here are the predictions for Week 8. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Western Bulldogs vs. Sydney Swans</td>
<td>Apr 23</td>
<td>Western Bulldogs</td>
<td align="right">12.30</td>
</tr>
<tr>
<td align="right">2</td>
<td>Richmond Tigers vs. Melbourne Demons</td>
<td>Apr 24</td>
<td>Melbourne Demons</td>
<td align="right">-33.60</td>
</tr>
<tr>
<td align="right">3</td>
<td>Hawthorn Hawks vs. Gold Coast Suns</td>
<td>Apr 25</td>
<td>Hawthorn Hawks</td>
<td align="right">21.50</td>
</tr>
<tr>
<td align="right">4</td>
<td>Essendon Bombers vs. Collingwood</td>
<td>Apr 25</td>
<td>Collingwood</td>
<td align="right">-23.50</td>
</tr>
<tr>
<td align="right">5</td>
<td>Port Adelaide Power vs. Geelong Cats</td>
<td>Apr 25</td>
<td>Geelong Cats</td>
<td align="right">-26.30</td>
</tr>
<tr>
<td align="right">6</td>
<td>Fremantle Dockers vs. Carlton Blues</td>
<td>Apr 25</td>
<td>Fremantle Dockers</td>
<td align="right">34.10</td>
</tr>
<tr>
<td align="right">7</td>
<td>St Kilda Saints vs. West Coast Eagles</td>
<td>Apr 26</td>
<td>St Kilda Saints</td>
<td align="right">48.20</td>
</tr>
<tr>
<td align="right">8</td>
<td>Brisbane Lions vs. Adelaide Crows</td>
<td>Apr 26</td>
<td>Brisbane Lions</td>
<td align="right">20.50</td>
</tr>
<tr>
<td align="right">9</td>
<td>GWS Giants vs. North Melbourne</td>
<td>Apr 26</td>
<td>GWS Giants</td>
<td align="right">28.50</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/21/afl-predictions-for-week-8-3/">AFL Predictions for Week 8</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<title>NRL Predictions for Round 8</title>
		<link>https://www.statschat.org.nz/2026/04/21/nrl-predictions-for-round-8-13/</link>
					<comments>https://www.statschat.org.nz/2026/04/21/nrl-predictions-for-round-8-13/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Mon, 20 Apr 2026 22:55:53 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21193</guid>

					<description><![CDATA[<p>Team Ratings for Round 8 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Panthers 14.05 8.77 5.30 Roosters 5.88 9.50 -3.60 Sharks 5.60 7.25 -1.60 Broncos [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/21/nrl-predictions-for-round-8-13/">NRL Predictions for Round 8</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Round 8</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Panthers</td>
<td align="right">14.05</td>
<td align="right">8.77</td>
<td align="right">5.30</td>
</tr>
<tr>
<td align="right">Roosters</td>
<td align="right">5.88</td>
<td align="right">9.50</td>
<td align="right">-3.60</td>
</tr>
<tr>
<td align="right">Sharks</td>
<td align="right">5.60</td>
<td align="right">7.25</td>
<td align="right">-1.60</td>
</tr>
<tr>
<td align="right">Broncos</td>
<td align="right">4.72</td>
<td align="right">7.06</td>
<td align="right">-2.30</td>
</tr>
<tr>
<td align="right">Storm</td>
<td align="right">3.44</td>
<td align="right">6.96</td>
<td align="right">-3.50</td>
</tr>
<tr>
<td align="right">Warriors</td>
<td align="right">2.91</td>
<td align="right">-1.18</td>
<td align="right">4.10</td>
</tr>
<tr>
<td align="right">Sea Eagles</td>
<td align="right">1.97</td>
<td align="right">0.21</td>
<td align="right">1.80</td>
</tr>
<tr>
<td align="right">Bulldogs</td>
<td align="right">-0.08</td>
<td align="right">2.13</td>
<td align="right">-2.20</td>
</tr>
<tr>
<td align="right">Dolphins</td>
<td align="right">-0.47</td>
<td align="right">1.85</td>
<td align="right">-2.30</td>
</tr>
<tr>
<td align="right">Wests Tigers</td>
<td align="right">-1.39</td>
<td align="right">-7.26</td>
<td align="right">5.90</td>
</tr>
<tr>
<td align="right">Raiders</td>
<td align="right">-1.72</td>
<td align="right">1.62</td>
<td align="right">-3.30</td>
</tr>
<tr>
<td align="right">Rabbitohs</td>
<td align="right">-2.32</td>
<td align="right">-5.05</td>
<td align="right">2.70</td>
</tr>
<tr>
<td align="right">Cowboys</td>
<td align="right">-3.12</td>
<td align="right">-2.69</td>
<td align="right">-0.40</td>
</tr>
<tr>
<td align="right">Eels</td>
<td align="right">-4.67</td>
<td align="right">-0.37</td>
<td align="right">-4.30</td>
</tr>
<tr>
<td align="right">Titans</td>
<td align="right">-5.40</td>
<td align="right">-8.02</td>
<td align="right">2.60</td>
</tr>
<tr>
<td align="right">Knights</td>
<td align="right">-8.29</td>
<td align="right">-14.06</td>
<td align="right">5.80</td>
</tr>
<tr>
<td align="right">Dragons</td>
<td align="right">-11.11</td>
<td align="right">-6.72</td>
<td align="right">-4.40</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 56 matches played, 30 of which were correctly predicted, a success rate of 53.6%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Cowboys vs. Sea Eagles</td>
<td>Apr 16</td>
<td align="right">6 &#8211; 38</td>
<td align="right">3.50</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Raiders vs. Storm</td>
<td>Apr 17</td>
<td align="right">26 &#8211; 22</td>
<td align="right">-2.60</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Dolphins vs. Panthers</td>
<td>Apr 17</td>
<td align="right">22 &#8211; 23</td>
<td align="right">-12.20</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Warriors vs. Titans</td>
<td>Apr 18</td>
<td align="right">28 &#8211; 20</td>
<td align="right">13.50</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Rabbitohs vs. Dragons</td>
<td>Apr 18</td>
<td align="right">30 &#8211; 12</td>
<td align="right">11.30</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">6</td>
<td>Wests Tigers vs. Broncos</td>
<td>Apr 18</td>
<td align="right">20 &#8211; 21</td>
<td align="right">-2.40</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">7</td>
<td>Roosters vs. Knights</td>
<td>Apr 19</td>
<td align="right">38 &#8211; 24</td>
<td align="right">19.30</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">8</td>
<td>Eels vs. Bulldogs</td>
<td>Apr 19</td>
<td align="right">38 &#8211; 20</td>
<td align="right">-3.60</td>
<td>FALSE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Round 8</h2>
<p>Here are the predictions for Round 8. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Wests Tigers vs. Raiders</td>
<td>Apr 23</td>
<td>Wests Tigers</td>
<td align="right">4.30</td>
</tr>
<tr>
<td align="right">2</td>
<td>Cowboys vs. Sharks</td>
<td>Apr 24</td>
<td>Sharks</td>
<td align="right">-4.70</td>
</tr>
<tr>
<td align="right">3</td>
<td>Broncos vs. Bulldogs</td>
<td>Apr 24</td>
<td>Broncos</td>
<td align="right">8.80</td>
</tr>
<tr>
<td align="right">4</td>
<td>Dragons vs. Roosters</td>
<td>Apr 25</td>
<td>Roosters</td>
<td align="right">-21.00</td>
</tr>
<tr>
<td align="right">5</td>
<td>Warriors vs. Dolphins</td>
<td>Apr 25</td>
<td>Warriors</td>
<td align="right">7.40</td>
</tr>
<tr>
<td align="right">6</td>
<td>Storm vs. Rabbitohs</td>
<td>Apr 25</td>
<td>Storm</td>
<td align="right">9.80</td>
</tr>
<tr>
<td align="right">7</td>
<td>Knights vs. Panthers</td>
<td>Apr 26</td>
<td>Panthers</td>
<td align="right">-18.30</td>
</tr>
<tr>
<td align="right">8</td>
<td>Sea Eagles vs. Eels</td>
<td>Apr 26</td>
<td>Sea Eagles</td>
<td align="right">10.60</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/21/nrl-predictions-for-round-8-13/">NRL Predictions for Round 8</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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		<title>Super Rugby Predictions for Week 11</title>
		<link>https://www.statschat.org.nz/2026/04/21/super-rugby-predictions-for-week-11-6/</link>
					<comments>https://www.statschat.org.nz/2026/04/21/super-rugby-predictions-for-week-11-6/#respond</comments>
		
		<dc:creator><![CDATA[David Scott]]></dc:creator>
		<pubDate>Mon, 20 Apr 2026 22:55:01 +0000</pubDate>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Sports statistics]]></category>
		<guid isPermaLink="false">https://www.statschat.org.nz/?p=21191</guid>

					<description><![CDATA[<p>Team Ratings for Week 11 The basic method is described on my Department home page. Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season. Current Rating Rating at Season Start Difference Chiefs 12.23 12.36 -0.10 Hurricanes 11.85 8.29 3.60 Blues 8.75 8.91 -0.20 Crusaders [&#8230;]</p>
The post <a href="https://www.statschat.org.nz/2026/04/21/super-rugby-predictions-for-week-11-6/">Super Rugby Predictions for Week 11</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></description>
										<content:encoded><![CDATA[<h2>Team Ratings for Week 11</h2>
<p>The basic method is described on my Department <a href="http://www.stat.auckland.ac.nz/~dscott">home page</a>.<br />
Here are the team ratings prior to this week&#8217;s games, along with the ratings at the start of the season.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Current Rating</th>
<th>Rating at Season Start</th>
<th>Difference</th>
</tr>
<tr>
<td align="right">Chiefs</td>
<td align="right">12.23</td>
<td align="right">12.36</td>
<td align="right">-0.10</td>
</tr>
<tr>
<td align="right">Hurricanes</td>
<td align="right">11.85</td>
<td align="right">8.29</td>
<td align="right">3.60</td>
</tr>
<tr>
<td align="right">Blues</td>
<td align="right">8.75</td>
<td align="right">8.91</td>
<td align="right">-0.20</td>
</tr>
<tr>
<td align="right">Crusaders</td>
<td align="right">7.59</td>
<td align="right">8.41</td>
<td align="right">-0.80</td>
</tr>
<tr>
<td align="right">Brumbies</td>
<td align="right">4.86</td>
<td align="right">5.59</td>
<td align="right">-0.70</td>
</tr>
<tr>
<td align="right">Reds</td>
<td align="right">0.41</td>
<td align="right">1.74</td>
<td align="right">-1.30</td>
</tr>
<tr>
<td align="right">Highlanders</td>
<td align="right">-2.49</td>
<td align="right">-3.06</td>
<td align="right">0.60</td>
</tr>
<tr>
<td align="right">Western Force</td>
<td align="right">-4.01</td>
<td align="right">-6.29</td>
<td align="right">2.30</td>
</tr>
<tr>
<td align="right">Waratahs</td>
<td align="right">-4.81</td>
<td align="right">-5.84</td>
<td align="right">1.00</td>
</tr>
<tr>
<td align="right">Fijian Drua</td>
<td align="right">-7.84</td>
<td align="right">-7.64</td>
<td align="right">-0.20</td>
</tr>
<tr>
<td align="right">Moana Pasifika</td>
<td align="right">-11.97</td>
<td align="right">-7.88</td>
<td align="right">-4.10</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Performance So Far</h2>
<p>So far there have been 48 matches played, 32 of which were correctly predicted, a success rate of 66.7%.<br />
Here are the predictions for last week&#8217;s games.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Score</th>
<th>Prediction</th>
<th>Correct</th>
</tr>
<tr>
<td align="right">1</td>
<td>Blues vs. Highlanders</td>
<td>Apr 17</td>
<td align="right">47 &#8211; 40</td>
<td align="right">17.10</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">2</td>
<td>Waratahs vs. Moana Pasifika</td>
<td>Apr 17</td>
<td align="right">29 &#8211; 14</td>
<td align="right">10.20</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">3</td>
<td>Chiefs vs. Hurricanes</td>
<td>Apr 18</td>
<td align="right">22 &#8211; 17</td>
<td align="right">5.40</td>
<td>TRUE</td>
</tr>
<tr>
<td align="right">4</td>
<td>Brumbies vs. Fijian Drua</td>
<td>Apr 18</td>
<td align="right">28 &#8211; 33</td>
<td align="right">19.50</td>
<td>FALSE</td>
</tr>
<tr>
<td align="right">5</td>
<td>Western Force vs. Crusaders</td>
<td>Apr 18</td>
<td align="right">31 &#8211; 26</td>
<td align="right">-9.30</td>
<td>FALSE</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2>Predictions for Week 11</h2>
<p>Here are the predictions for Week 11. The prediction is my estimated expected points difference with a positive margin being a win to the home team, and a negative margin a win to the away team.</p>
<table border="1" rules="all">
<tbody>
<tr>
<th></th>
<th>Game</th>
<th>Date</th>
<th>Winner</th>
<th>Prediction</th>
</tr>
<tr>
<td align="right">1</td>
<td>Crusaders vs. Waratahs</td>
<td>Apr 24</td>
<td>Crusaders</td>
<td align="right">15.90</td>
</tr>
<tr>
<td align="right">2</td>
<td>Hurricanes vs. Brumbies</td>
<td>Apr 25</td>
<td>Hurricanes</td>
<td align="right">10.50</td>
</tr>
<tr>
<td align="right">3</td>
<td>Blues vs. Reds</td>
<td>Apr 25</td>
<td>Blues</td>
<td align="right">11.80</td>
</tr>
<tr>
<td align="right">4</td>
<td>Highlanders vs. Moana Pasifika</td>
<td>Apr 26</td>
<td>Highlanders</td>
<td align="right">14.50</td>
</tr>
<tr>
<td align="right">5</td>
<td>Chiefs vs. Fijian Drua</td>
<td>Apr 26</td>
<td>Chiefs</td>
<td align="right">23.60</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>The post <a href="https://www.statschat.org.nz/2026/04/21/super-rugby-predictions-for-week-11-6/">Super Rugby Predictions for Week 11</a> first appeared on <a href="https://www.statschat.org.nz">Stats Chat</a>.]]></content:encoded>
					
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	</channel>
</rss>
