OvertimeAnalytix is a machine learning sports analytics service that publishes daily picks backed by quantitative models — not opinions. We find edges. We publish them. The models do the rest.
OvertimeAnalytix was founded with a single premise: the sports betting market is beatable with the right models and enough data.
We started by running a deep correlation analysis to uncover what actually matters when it comes to predicting outcomes. Once we identified the variables with real predictive power, we trained our models on them. When the results came back — a strong AUC and a consistent edge on high-confidence plays — we knew we had something real.
Today the system covers eight-plus leagues with tailored models for each. It retrains on recent results, publishes new picks before the public money moves the lines, and our members get those picks first.
Every pick is generated by a machine learning ensemble trained on thousands of games of historical data. The system retrains itself automatically as new game results come in — it genuinely gets smarter every day.
We only publish picks where the model identifies a quantifiable edge over the market. No gut picks, no consensus — if the number doesn't show positive expected value, it doesn't go out.
The pipeline runs automatically every day. It grades recent results, updates the models with fresh data, and generates new picks — all before the lines move.
Not all edges are created equal. Every pick is assigned a confidence tier based on the strength of the model signal, so you can size your plays accordingly and focus on the highest-conviction opportunities.
We actively cover NBA, NHL, UFC, NCAAB, and MLB with sport-specific models tuned for each league's unique dynamics. NFL and NCAAF models launch in August ahead of the season.
OvertimeAnalytix is designed for people who treat sports betting as an investment, not entertainment. We provide model probabilities, edge percentages, and confidence tiers — not just winners.