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About SharpWiki

A free, independent educational resource for the analytically minded sports bettor.

Our Mission

Knowledge Over Tips. Frameworks Over Picks.

SharpWiki was founded on a simple belief: the sports betting landscape is overwhelmed with noise — tipsters, handicappers, and affiliate-driven content engineered to extract money rather than share real knowledge.

We exist to counter that. Our platform is structured around the mathematical and strategic foundations that professional bettors actually use: expected value, closing line value, Kelly staking, variance management, and market analysis. Nothing more, nothing less.

Every article on SharpWiki is reviewed for accuracy, free from commercial bias, and crafted to improve your analytical thinking — not to sell you anything.

Research and analysis workspace
Core Values

What Drives Everything We Publish

Editorial Independence

No advertisers, no affiliate links, no sportsbook partnerships. Our content is shaped solely by accuracy and educational value.

Mathematical Rigour

Every strategy and concept we cover is grounded in probability theory, statistics, and game theory — not anecdotal winning streaks.

Responsible Gambling

We integrate responsible gambling principles throughout our content. Understanding risk means understanding when not to bet.

Accessibility

Advanced concepts are explained progressively — from foundational definitions up to professional-grade frameworks.

Transparency

We are clear about what SharpWiki is and is not. We do not hide our limitations or overstate the certainty of any strategy.

Continuous Improvement

Betting markets evolve. Our content is regularly reviewed and updated to reflect changes in market structure and betting science.

2019
Founded
300+
Glossary Entries
12
Strategy Modules
0
Paid Services
Our Team

The Analysts Behind SharpWiki

A small team of mathematicians, sports analysts, and data scientists committed to high-quality, unbiased educational content.

Daniel Reeve

Daniel Reeve

Founder & Editor-in-Chief

Former quantitative analyst with 12 years studying sports betting markets and probability models.

Mara Chen

Mara Chen

Head of Mathematics

PhD in Statistics. Responsible for all formula content, Kelly Criterion modules, and variance analysis guides.

James Ortiz

James Ortiz

Market Analyst

Specialist in line movement, sharp money signals, and opening vs closing line value analysis.

Sophie Adler

Sophie Adler

Content Researcher

Sports data researcher specialising in making complex betting concepts accessible for all experience levels.

Important Disclaimer

SharpWiki provides information strictly for educational purposes. We do not facilitate gambling, accept bets, process financial transactions, or provide legally qualified gambling advice. Sports betting involves risk and is subject to local regulations. Always verify that betting is legal in your jurisdiction. If you or someone you know has a gambling problem, please seek professional help. Resources include BeGambleAware.org and the National Problem Gambling Helpline.