Sergey Sholokhov
VERIFIED EXPERTSports analytics professional and value betting researcher. Built EVBets from scratch to help bettors systematically identify positive EV opportunities. Background in database administration, statistical modeling, and Python-based sports data pipelines.
Built EVBets.app — a full-stack SaaS platform that monitors odds from 94 bookmakers across 25 sports, calculates positive EV bets in real-time, and publishes educational content about value betting methodology.
Database administration (PostgreSQL, MariaDB, ClickHouse) and sports data pipeline development. Built automated scraping and normalization systems for match statistics and odds data.
Designed statistical models for football and basketball outcome prediction. Developed EV calculation systems comparing sharp bookmaker lines (Pinnacle, Betfair) against soft market prices.
Began career in sports data infrastructure. Built ETL pipelines for match event data, odds feeds, and result tracking. First systematic application of expected value theory to sports betting markets.
All content on EVBets is based on the mathematical framework of expected value theory. Bookmaker reviews use independent analysis of line quality, margin efficiency, and account longevity for sharp bettors. No review ratings are influenced by commercial partnerships — all affiliate relationships are disclosed transparently.
EV calculations use real odds from The Odds API updated every 30 minutes. No-vig probabilities are calculated using the multiplicative margin removal method. Kelly stakes are capped at 5% of bankroll and displayed at 0.25× (Quarter Kelly) by default.
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