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		<title>Boomerang Casino : Probabilités et Stratégies Gagnantes</title>
		<link>http://sofia.interplex.net/blog/boomerang-casino-probabilites-et-strategies-gagnantes-2/</link>
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				<pubDate>Sat, 13 Sep 2025 03:16:55 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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		<title>Les clés des probabilités pour des gains spectaculaires au Vave Casino</title>
		<link>http://sofia.interplex.net/blog/les-cles-des-probabilites-pour-des-gains-spectaculaires-au-vave-casino-2/</link>
				<comments>http://sofia.interplex.net/blog/les-cles-des-probabilites-pour-des-gains-spectaculaires-au-vave-casino-2/#respond</comments>
				<pubDate>Fri, 12 Sep 2025 23:42:00 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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				<description><![CDATA[Le Vave Casino, opéré par la société TechOptions, est une plateforme de jeu en ligne lancée en 2022, reconnue pour son design axé sur les cryptomonnaies. Licencié par la Curaçao Gaming Control Board (8048/JAZ2017-067), il garantit une expérience sécurisée. La maîtrise de la théorie des probabilités est cruciale pour optimiser les résultats, notamment avec des [&#8230;]]]></description>
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<p>Le Vave Casino, opéré par la société TechOptions, est une plateforme de jeu en ligne lancée en 2022, reconnue pour son design axé sur les cryptomonnaies. Licencié par la Curaçao Gaming Control Board (8048/JAZ2017-067), il garantit une expérience sécurisée. La maîtrise de la théorie des probabilités est cruciale pour optimiser les résultats, notamment avec des jackpots progressifs pouvant atteindre des millions. Cet article explore comment ces concepts s’appliquent aux jeux comme les machines à sous au Vave Casino, en mettant l’accent sur les probabilités et les gains potentiels. Avec une interface en anglais et une compatibilité optimale pour mobile, la plateforme offre une navigation fluide, renforcée par une application iOS/Android.</p>
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		<title>Dominando as odds para vencer no WJ Casino</title>
		<link>http://sofia.interplex.net/blog/dominando-as-odds-para-vencer-no-wj-casino/</link>
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				<pubDate>Fri, 12 Sep 2025 21:46:03 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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				<description><![CDATA[O WJ Casino, licenciado por 1 Curaçao e regulamentado pela Lei nº 14.790/2023, é uma plataforma de iGaming que se destaca no Brasil por sua interface moderna e suporte a pagamentos rápidos via Pix. Tanto novatos quanto veteranos podem otimizar resultados com probabilidade. Essa ciência matemática permite prever resultados e criar estratégias eficazes. A roleta [&#8230;]]]></description>
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<p>O pôquer, como o Video Poker Live do WJ Casino, é um destaque na plataforma. Avaliar as probabilidades de uma mão vencedora é crucial. Um draw de flush após o flop tem 35% de probabilidade de se completar. As odds do pote e as implied odds guiam as decisões estratégicas. As competições de pôquer demandam estratégias baseadas em probabilidade.</p>
<p>O WJ Casino oferece recompensas, como cashback de até 10% em perdas, para prolongar as sessões. Uma oferta que dobra o depósito até R$500 com termos claros impulsiona as chances. Administrar o capital com cuidado otimiza os benefícios das ofertas. Associar estratégias matemáticas e disciplina financeira aumenta as vitórias.</p>
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		<title>Donbet Casino : Les Mathématiques au Service des Joueurs</title>
		<link>http://sofia.interplex.net/blog/donbet-casino-les-mathematiques-au-service-des-joueurs/</link>
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				<pubDate>Fri, 12 Sep 2025 21:10:12 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
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		<title>Donbet Casino : Les Mathématiques du Succès</title>
		<link>http://sofia.interplex.net/blog/donbet-casino-les-mathematiques-du-succes/</link>
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				<pubDate>Fri, 12 Sep 2025 16:23:23 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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				<pubDate>Fri, 12 Sep 2025 11:31:09 +0000</pubDate>
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		<guid isPermaLink="false">http://sofia.interplex.net/blog/?p=4054</guid>
				<description><![CDATA[Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments Tech leaders respond to the rapid rise of DeepSeek All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to [&#8230;]]]></description>
								<content:encoded><![CDATA[<p>Andreessen Horowitz a16z Fuels AI and Biotech Innovations with Strategic Investments </p>
<h1>Tech leaders respond to the rapid rise of DeepSeek</h1>
</p>
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width="301px" alt="a16z generative ai"/></p>
<p><p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which  can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p><p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p><h2>How Global Brands Use Geo-Targeting To Increase Conversions; Interview With The CMO Of Geo Targetly</h2>
</p>
<p><p>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<ul>
<li>Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents.</li>
<li>Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services.</li>
<li>But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world.</li>
</ul>
<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
<p><h2>Your vote of support is important to us and it helps us keep the content FREE.</h2>
</p>
<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes,  it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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" width="300px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
</p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="a16z generative ai"/></p>
<p><p>Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
</p>
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" width="305px" alt="a16z generative ai"/></p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
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" width="306px" alt="a16z generative ai"/></p>
<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
<p><h2>Andreessen Horowitz (a16z) Fuels AI and Biotech Innovations with Strategic Investments</h2>
</p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
</p>
<ul>
<li>In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</li>
<li>Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications.</li>
<li>During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</li>
<li>This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</li>
<li>That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</li>
<li>Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</li>
</ul>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p></p>
]]></content:encoded>
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		<title>Best Online Casinos UK for Real Money to Play and Win in 2025!</title>
		<link>http://sofia.interplex.net/blog/best-online-casinos-uk-for-real-money-to-play-and-win-in-2025/</link>
				<pubDate>Fri, 12 Sep 2025 10:41:19 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

		<guid isPermaLink="false">http://sofia.interplex.net/blog/?p=4058</guid>
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		<title>Super Casino : Probabilités pour Maximiser Vos Gains</title>
		<link>http://sofia.interplex.net/blog/super-casino-probabilites-pour-maximiser-vos-gains/</link>
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				<pubDate>Fri, 12 Sep 2025 07:42:40 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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				<description><![CDATA[Super Casino est une plateforme de jeu en ligne fiable qui séduit les joueurs grâce à une diversité impressionnante de jeux, allant des machines à sous aux tables de jeu en direct. Opérant sous une autorité de jeu reconnue, Super Casino offre un environnement transparent pour une expérience de jeu optimale. La théorie des probabilités [&#8230;]]]></description>
								<content:encoded><![CDATA[</p>
<p>Super Casino est une plateforme de jeu en ligne fiable qui séduit les joueurs grâce à une diversité impressionnante de jeux, allant des machines à sous aux tables de jeu en direct. Opérant sous une autorité de jeu reconnue, Super Casino offre un environnement transparent pour une expérience de jeu optimale. La théorie des probabilités joue un rôle essentiel dans la compréhension des jeux proposés, permettant aux joueurs de prendre des décisions éclairées. En maîtrisant les principes des probabilités, les joueurs peuvent renforcer leurs chances de succès. Super Casino utilise un générateur de nombres aléatoires (RNG) pour garantir des résultats imprévisibles, rendant l’analyse des probabilités essentielle pour une approche stratégique.</p>
<p>Les machines à sous, telles que Wolf Gold, sont des attractions majeures sur Super Casino. Leur taux de redistribution varie généralement entre 94 % à 96 %, indiquant la proportion des mises redistribuée aux joueurs sur le long terme. Par exemple,  <a href="https://www.atrip4u.com/super-casino-les-probabilites-au-coeur-du-succes/">super slots casino официальный</a> une machine avec un RTP de 96 % retourne environ 96 € pour chaque 100 € misés.  If you have any kind of inquiries concerning where and ways to utilize <a href="https://supercasinoslot.fr">super slots casino официальный</a>, you could contact us at the web-page. Les slots à haute volatilité offrent des gains importants mais rares, permettant aux joueurs de choisir selon leur tolérance au risque. Pour optimiser vos chances, optez pour des machines avec un taux de retour optimal et des multiplicateurs. Adopter des mises modestes permet de prolonger vos sessions tout en réduisant les pertes.</p>
<p>Les jeux de table, comme le blackjack, offrent des probabilités calculables grâce à leurs règles définies. Au blackjack, disponible sur Super Casino, l’avantage de la maison peut être réduit à 0,5 % en utilisant une tactique éprouvée. Par exemple, s’arrêter sur un 17 repose sur des décisions probabilistes. À la roulette européenne, la probabilité de gagner sur un pari simple (rouge/noir) est de près de 50 % grâce à un seul zéro, contrairement à la roulette américaine. Éviter les paris risqués peut optimiser vos chances de gains réguliers. Au poker, comme le Texas Hold’em, les probabilités dépendent des calculs de cotes. Par exemple, avec deux cartes d’une même couleur, la probabilité d’obtenir une couleur au flop est d’près de 1/9.</p>
<p>Les jeux de crash, comme Aviator, gagnent en popularité sur Super Casino grâce à leur excitation. Ces jeux reposent sur un coefficient qui augmente qui peut s’arrêter à tout moment. La stratégie clé est de anticiper le crash. Une approche efficace consiste à définir une limite d’encaissement, comme 1,5x, pour des gains constants. Une autre tactique est la approche à deux mises, où une mise est encaissée tôt (par exemple, à 2x) et l’autre vise un multiplicateur élevé. Jouer prudemment est crucial pour éviter les pertes rapides dans ces jeux dynamiques.</p>
<p>La gestion du budget est indispensable pour exploiter les probabilités sur Super Casino. Établissez un budget hebdomadaire, comme 50 €, pour limiter les pertes. Les promotions, comme les tours gratuits, peuvent augmenter votre capital, mais respectez les conditions de mise, souvent fixées à environ 35x. Jouer sur des machines stables permet de étendre vos sessions tout en augmentant les opportunités de gains. Une approche responsable combinée à une compréhension des probabilités rend l’expérience excitante.</p>
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		<title>Como as probabilidades transformam sua experiência no XPBet Casino</title>
		<link>http://sofia.interplex.net/blog/como-as-probabilidades-transformam-sua-experiencia-no-xpbet-casino/</link>
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				<pubDate>Fri, 12 Sep 2025 07:42:24 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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				<description><![CDATA[Com uma licença MGA, o XPBet Casino oferece uma experiência segura com jogos como Fortune Tiger e Roleta Brasileira. Jogadores de todos os níveis se beneficiam ao dominar conceitos probabilísticos. Essa ciência matemática permite prever resultados e criar estratégias eficazes. A roleta europeia do XPBet opera com 37 setores numerados. Miser em um número exato [&#8230;]]]></description>
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<p>Com uma licença MGA, o XPBet Casino oferece uma experiência segura com jogos como Fortune Tiger e Roleta Brasileira. Jogadores de todos os níveis se beneficiam ao dominar conceitos probabilísticos. Essa ciência matemática permite prever resultados e criar estratégias eficazes.</p>
<p>A roleta europeia do XPBet opera com 37 setores numerados. Miser em um número exato tem uma chance de 1 em 37. Essa estatística ajuda a planejar apostas com maior precisão. Misas em grupos como par/ímpar elevam as probabilidades a 48,6%. Essas escolhas são perfeitas para quem prefere apostas seguras.</p>
<p>O blackjack, como o Lightning Blackjack do XPBet Casino, combina sorte e cálculos precisos. Uma estratégia bem executada reduz a vantagem da casa a 0,5%. Escolhas como dobrar ou dividir baseiam-se nas cartas distribuídas. As mesas de blackjack ao vivo, como o Lightning Blackjack,  <a href="https://aksproengineering.com/entenda-as-probabilidades-para-otimizar-ganhos-no-xpbet-casino/">xp games bet</a> oferecem uma experiência imersiva. As odds refletem as de estabelecimentos físicos.</p>
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<p>O pôquer, como o Video Poker Live do XPBet Casino, é um destaque na plataforma. Prever combinações depende de cálculos matemáticos precisos. Quatro cartas do mesmo naipe no flop oferecem 35% de chance de flush. Esses cálculos ajudam a otimizar as apostas no jogo. Os torneios requerem disciplina e cálculos probabilísticos.</p>
<p>As promoções do XPBet Casino, como bônus de boas-vindas de até R$588 e giros grátis, ampliam o tempo de jogo. Um bônus de 100% até R$588 com condições justas prolonga a experiência. Administrar o capital com cuidado otimiza os benefícios das ofertas. Combinar probabilidade e controle financeiro melhora o desempenho.</p>
<p>Concluindo, dominar as probabilidades é fundamental para vencer no XPBet. Tanto a roleta quanto o pôquer ganham com uma abordagem matemática. Com uma plataforma segura, suporte 24/7 em português e Pix, o XPBet é ideal para estratégias calculadas. Jogue com responsabilidade para uma experiência divertida e controlada.</p>
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		<title>Donbet Casino : Probabilités pour Maximiser Vos Gains</title>
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				<pubDate>Fri, 12 Sep 2025 07:40:15 +0000</pubDate>
		<dc:creator><![CDATA[Erdinch Chakarov]]></dc:creator>
				<category><![CDATA[Points Of Interests]]></category>

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				<description><![CDATA[Donbet Casino est une plateforme de jeu en ligne appréciée qui attire les joueurs avec une diverse gamme de jeux et une expérience sécurisée. Régulée par une licence de Curaçao, Donbet garantit un environnement de jeu transparent. La théorie des probabilités joue un rôle central dans tous les jeux proposés, qu’il s’agisse de machines à [&#8230;]]]></description>
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<p>Donbet Casino est une plateforme de jeu en ligne appréciée qui attire les joueurs avec une diverse gamme de jeux et une expérience sécurisée. Régulée par une licence de Curaçao, Donbet garantit un environnement de jeu transparent. La théorie des probabilités joue un rôle central dans tous les jeux proposés, qu’il s’agisse de machines à sous, de jeux de table ou de jeux en direct. Comprendre les principes mathématiques peut optimiser vos chances de succès. Sur Donbet Casino, chaque jeu repose sur un système certifié, assurant des résultats aléatoires.</p>
<p>Les machines à sous sur Donbet Casino, telles que Book of Dead, affichent un taux de retour au joueur compétitif variant entre 95 % en moyenne. Le RTP (Return to Player) indique la part des mises redistribuée aux joueurs sur le long terme.  Should you loved this short article and you want to receive more info relating to <a href="https://donbetcasinopromo.fr">donbet win</a> kindly visit our internet site. Par exemple, un jeu avec un RTP de 96 % signifie que pour chaque montant parié,  <a href="http://cloudfactoring.com/?p=90606">donbet win</a> environ une grande partie est reversée sous forme de gains. Pour maximiser vos chances, sélectionnez des machines à sous avec un pourcentage avantageux et des tours gratuits. Adopter une approche prudente permet de prolonger votre session de jeu tout en minimisant les risques.</p>
<p>Les jeux de table, comme le baccarat, offrent des probabilités structurées grâce à leurs règles fixes. Au blackjack, par exemple, l’avantage de la maison est minimal si vous utilisez une tactique éprouvée. Une stratégie consiste à prendre des décisions basées sur les cartes, comme tirer une carte avec un total de 15 contre un 10 du croupier. À la roulette européenne, la probabilité de gagner sur un pari simple (rouge/noir) est de près de 50 % en raison de la présence d’un seul zéro. Privilégier les paris extérieurs peut améliorer vos chances de succès.</p>
<p>Les jeux de crash, tels que Aviator, sont particulièrement attrayants sur Donbet Casino. Ces jeux reposent sur un système de crash qui peut s’arrêter à tout moment. La clé est de anticiper le crash. Une stratégie consiste à définir une limite d’encaissement, comme 1,8x, pour garantir des gains constants. Une autre tactique est la tactique combinée, où une mise est encaissée tôt (par exemple, à 1,7x) et l’autre est laissée pour viser un multiplicateur élevé. Gérer les risques est essentiel pour éviter les pertes.</p>
<p>Pour optimiser vos chances sur Donbet Casino, la gestion de votre budget est essentielle. Définissez une limite hebdomadaire, comme 100 €, pour limiter les pertes. Les bonus de Donbet, tels que le offre jusqu’à 750 €, peuvent augmenter votre capital de jeu. Cependant, lisez attentivement les règles des bonus, souvent fixées à 35x, pour comprendre comment retirer vos gains. Jouer sur des jeux à faible volatilité permet de prolonger votre temps de jeu tout en optimisant les opportunités de gains.</p>
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