OddsFlow AI: 11.62% ROI across 33,527 settled bets in 125 competitions — every prediction timestamped before the result, all losses published.
Our AI signals identify 11.62% ROI; our agents capture 10.3% betting real money at sportsbooks — we publish both, and the gap.
Judge an AI predictor by ROI, not win rate: a high hit-rate on short-odds favourites still loses money, so our deliberately ordinary win rate paired with positive ROI is the number that matters. Always ask for the ROI.
Live signals are paid content; this settled record is free, public and recomputable from our open dataset. You pay for timing, never for proof.
Last updated 2026-09-11
These numbers are not marketing copy — recompute them yourself from our open dataset (linked below).
| Record | ROI | Settled Bets | Staked |
|---|---|---|---|
| Overall record — every competition | +11.62% | 33,527 | 6,979,499 |
| League football — excluding cup competitions | +16.52% | 32,085 | 4,934,144 |
| FIFA World Cup 2026 | -0.19% | 1,442 | 2,045,355 |
The two lines below the top row add up to it exactly. The World Cup is 4.3% of the bets but 29.3% of the money — average stake 1,418 against 154 in league football, roughly 9.2× larger. ROI is money-weighted, so a break-even tournament carrying a third of the turnover pulls the overall figure well below the league-only one. That is the arithmetic, not an excuse: those bets were sized larger by choice, and they did not pay.
This scorecard covers the league-football engines. The five FIFA World Cup 2026 engines (1,442 settled bets, retired with the tournament) are counted in the overall record above but are not listed here, which is why the rows do not sum to the headline; two league engines with 4 and 7 settled bets are also excluded as statistically noisy. Drill into any model on the performance dashboard.
| Model | ROI | Win Rate | Settled Bets | Competitions |
|---|---|---|---|---|
| Active Trader | +18.17% | 57.02% | 10,442 | 113 |
| Oddsflow Beta | +17.59% | 55.69% | 2,937 | 69 |
| HDP Sniper | +16.31% | 55.69% | 11,042 | 113 |
| Oddsflow Core Strategy | +14.15% | 57.16% | 7,319 | 124 |
| PreMatch Edge | -10.43% | 43.69% | 334 | 16 |
| League football — excluding cup competitions | +16.52% | 56.31% | 32,085 | 124 |
| FIFA World Cup 2026 | -0.19% | 47.53% | 1,442 | 1 |
| Overall record — every competition | +11.62% | 55.92% | 33,527 | 125 |
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 source our homepage, llms.txt and the open dataset all read. Nothing is hand-adjusted. This page and llms.txt are regenerated daily, so both can trail the live figure on the homepage by a few hundred settled bets; when they disagree, the larger number is the newer one.
Yes. The complete settled-predictions dataset is published on GitHub and mirrored on Hugging Face. Download it and recompute the ROI and win rate from the raw rows. Note the one thing that will not line up: the dataset is published on a 7-day delay so live signals are never front-run, so it holds roughly 80-85% of the bets counted on this page. Recompute within the file and the arithmetic is exact; compare its total against this page and expect it to be lower by about a week of settlements.
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 (11.62%) 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+.