How bet-OG builds predictions
bet-OG combines provider data, recent form, score modelling, market-style rules, and an ML layer where available. The goal is to make football boards easier to read and compare, not to promise guaranteed winnings.
Core building blocks
- Multi-provider fixture and league data, including broader free-tier coverage through AllSportsAPI.
- Recent team form, home/away splits, head-to-head context, and standings-based strength signals.
- Expected-goals and scoreline logic, including Poisson and Dixon-Coles style adjustments.
- Market-style outputs such as win, draw, BTTS, over goals, team goals, and ticket grouping logic.
- An ML overlay where enough signal exists, with fallback behavior when deeper data is thin.
How picks are selected
Public boards and VIP boards do not simply dump every possible prediction. bet-OG filters, ranks, and trims markets based on confidence, model agreement, volatility, and matchup quality. Safer alternatives can replace shakier straight wins when the opponent still carries scoring threat.
How results are tracked
Settled picks are used to build performance summaries such as league hit rate and market hit rate. Unsupported or high-noise settlement types can be excluded from public stats so the reported numbers stay more honest.
Responsible gambling
bet-OG strongly supports gambling responsibly. Predictions are analysis tools, not certainty. Users should stake carefully, avoid chasing losses, and use the app as decision support rather than a promise of profit.