OddsFlow AI: 17.69% ROI across 9,989 settled bets in 949 matches — every prediction timestamped before kickoff, all losses published.
Our AI signals identify 17.69% ROI; our agents capture 10.3% betting real money at sportsbooks — we publish both, and the gap.
Last updated 2026-07-21
These numbers are not marketing copy — recompute them yourself from our open dataset (linked below).
Models with fewer than 20 settled bets are excluded as statistically noisy. Drill into any model on the performance dashboard.
| Model | ROI | Win Rate | Settled Bets | Matches |
|---|---|---|---|---|
| Oddsflow Core Strategy | +19.71% | 50.56% | 1,167 | 629 |
| Active Trader | +19.26% | 62.73% | 3,456 | 652 |
| Oddsflow Beta | +17.85% | 59.38% | 1,298 | 288 |
| HDP Sniper | +17.14% | 60.99% | 3,724 | 669 |
| S5.1_Pre | -11.39% | 42.23% | 329 | 251 |
| All Models Combined | +17.69% | 56.74% | 9,989 | 949 |
Real-money ROI is lower than signal ROI because execution is real: actual fills, bookmaker limits and slippage all eat into the edge the models identify. Publishing both — and the gap between them — is the honest measure of what survives contact with the market.
The honest breakdown — we publish weak markets too
| Market | ROI | Settled Bets |
|---|---|---|
| OU | +19.1% | 428 |
| AH | +6.7% | 2,474 |
| 1X2 | +1.7% | 580 |
| Real-money ROI | +10.3% | 3,482 |
Per-league verified signal results (SSR, updated after every match):
Two datasets, two roles, both public. Download either, run your own math, and confirm every number on this page:
Every signal is written to a public settlement log before kickoff and closed at full time. ROI, win rate and sample size are aggregated from that log — the same llms-stats pipeline that feeds our homepage and llms.txt. Nothing is hand-adjusted.
Yes. The complete settled-predictions dataset is published on GitHub and mirrored on Hugging Face. Download it and recompute the ROI and win rate on this page from the raw rows — you should get the exact same figures.
Always. Losing bets are never deleted or re-labelled after kickoff. The scorecard on this page includes negative-ROI models, and the aggregate figure is net of every loss — that is what makes it auditable.
Signal ROI (17.69%) is what our models identify at signal-time odds — the edge at the moment each signal fires. Real-money ROI (10.3%) is what our AI agents actually captured betting real money at sportsbooks, with real fills, bookmaker limits and slippage, verified by a PDF per row. The gap between them is execution reality, and we publish both.
Past performance does not guarantee future results. Bet responsibly, 18+.