56.4%Overall win rate
AI Football Prediction Accuracy –
Trust Is Good. Numbers Are Better
Plenty of sites talk about the accuracy of their AI predictions, but very few stand behind it with real numbers. We think you deserve better. So we publish everything: every prediction, every result, every month, the weak ones included. Check the overall win rate and the number of picks, filter by market (1X2, BTTS or Over/Under) and see where our AI performs best. No cherry-picking, no edits after the fact. Probabilities are estimates, not guarantees, so judge the model over a long run of matches, not one result.
Share of all published predictions that turned out correct.
2,223Total picks
Predictions in the record. More picks behind a percentage means it carries more weight.
3Months tracked
Every month since we started tracking, weaker ones included.
Track record by market
Each market behaves differently. Filter the record to see where the AI performs best.
Monthly win rate
Aug — Oct 2026Monthly win rate
Aug — Oct 2026Monthly win rate
Aug — Oct 2026Monthly win rate
Aug — Oct 2026Win rate for each month. A flat line means steady accuracy. A dip shows where the model struggled.
Monthly results
The same record, month by month. Weaker months are included.
| Period | Predictions | Win | Loss | Winrate | Brier score |
|---|---|---|---|---|---|
| October 2026 | 801 | 472 | 329 | 58.9% | 0.225 |
| September 2026 | 567 | 305 | 262 | 53.8% | 0.227 |
| August 2026 | 855 | 476 | 379 | 55.7% | 0.227 |
| Period | Predictions | Win | Loss | Winrate | Brier score |
|---|---|---|---|---|---|
| October 2026 | 267 | 152 | 115 | 56.9% | 0.192 |
| September 2026 | 189 | 90 | 99 | 47.6% | 0.202 |
| August 2026 | 285 | 156 | 129 | 54.7% | 0.194 |
| Period | Predictions | Win | Loss | Winrate | Brier score |
|---|---|---|---|---|---|
| October 2026 | 267 | 155 | 112 | 58.1% | 0.245 |
| September 2026 | 189 | 105 | 84 | 55.6% | 0.244 |
| August 2026 | 285 | 152 | 133 | 53.3% | 0.248 |
| Period | Predictions | Win | Loss | Winrate | Brier score |
|---|---|---|---|---|---|
| October 2026 | 267 | 165 | 102 | 61.8% | 0.238 |
| September 2026 | 189 | 110 | 79 | 58.2% | 0.236 |
| August 2026 | 285 | 168 | 117 | 58.9% | 0.240 |
Brier score measures how close the AI’s probabilities were to actual outcomes. Lower is better. A dash means it has not been calculated for that period yet.
How to read these numbers
Win rate shows how many predictions were right. On its own it can mislead: backing heavy favourites wins often but pays little, while backing outsiders wins less often but pays more.
Brier score checks the quality of the probabilities themselves, not just the picks. It runs from 0 to 1, and lower is better. For two-way markets such as BTTS and Over/Under, a model that says 50% on every match scores 0.25, so a lower figure means the probabilities carry real information.
Read them together. Win rate tells you what happened, Brier score tells you whether the model’s confidence was honest.
How we count results
- Every published prediction counts. We don’t choose which ones to show afterwards.
- A prediction is settled when the match ends. It is marked as a win or a loss in the market it was made for.
- Nothing is edited after the fact. Past months are never rewritten.
The predictions come from our AI model, which reads bookmaker odds, line movement, form, expected goals, injuries and lineups, then gives one lean per match with a probability and a confidence level.
OddScore vs other prediction sites
| What we show | OddScore | Other prediction sites |
|---|---|---|
| Full results history | Published in the open | Hidden or selective |
| Losing months | Shown | Quietly left out |
| Probability quality | Brier score | Not measured |
| Results by market | 1X2, BTTS and Over/Under separately | One blended number |
| Sample size | Always displayed | Rarely mentioned |
| What you get | Probability and confidence for every match | “Sure wins” and “locks” |
What a good AI record looks like
A model is doing its job when its percentages match reality over time. Picks rated around 70% should win roughly 70% of the time. High-probability picks still lose sometimes, and that is normal. What matters is whether results line up with the stated probabilities month after month, and this page lets you test that yourself.
Frequently asked questions
How accurate are OddScore’s AI predictions?
The current figures are in the cards and table above and update as matches finish. Accuracy varies by market and by month, which is why we show both a chart and a full breakdown.
Do you remove bad months or losing predictions?
No. The record includes every published prediction and every month.
What is the Brier score?
It measures how close the AI’s probabilities were to what actually happened. Lower is better.
Does a high win rate mean the next pick will win?
No. Past results show how the model has performed, not what will happen in the next match. Use predictions as a second opinion, not a guarantee.