March 27, 2026
Opening Day always resets the board. A long baseball season is finally back, the daily card starts filling up again, and the challenge is the same as it always is: separate noise from value as fast as possible. That’s exactly what I built OddsRX to do. OddsRX already lists MLB among the markets it covers, […]
Read article →February 25, 2026
At OddsRX, we don’t just build models and assume they work. We test them in the open, track every prediction, and let the data decide. This is a recap of our V2 model experiment — what we changed, what the numbers said, and why we’re shutting it down in favor of something better. Why We […]
Read article →January 16, 2026
Last updated: January 16, 2026 Today I’m officially launching a new feature on OddsRX: NBA Player Stat Predictions + Performance Tracking. This is a big step forward for the platform — not just because we’re projecting player stats (Points, Rebounds, Assists, 3PM, and Minutes)… but because we’re doing the most important part too: ✅ Tracking accuracy publicly. ✅ Showing […]
Read article →January 6, 2026
Last updated: January 3, 2026 – these reflections are based on the live data displayed on my NBA Model (Version 1) on OddsRX. When I built Dr Cover’s NBA Model, I leaned on machine‑learning and decades of NBA data to estimate win probabilities. The goal was simple: develop a tool that could help me (and others) make better betting decisions. The public dashboard shows how […]
Read article →January 6, 2026
Last updated: January 6 2026 – these figures summarise how my model performed during the 2025 Major League Baseball season. I built my MLB model to estimate win probabilities and identify value in baseball betting. It uses historical data, player statistics and situational variables to forecast game outcomes. Throughout the 2025 season I tracked performance in three ways: overlay picks (bets where the model’s probability was […]
Read article →January 6, 2026
2025 model performance has been mixed. More to come.
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