Football Prediction Accuracy – Current Success Rates
Welcome to the accuracy dashboard for MyGameOdds. This page provides a real-time overview of how well our AI-powered football predictions perform across various betting markets. You can explore current success rates based on the latest completed matches — giving you the confidence to trust our insights.
Team-Level Prediction Accuracy by Betting Market
This section showcases a unique feature available only on MyGameOdds: team-level prediction accuracy for all clubs playing today, broken down by betting market. Instead of looking only at individual tips, you can see where our AI has been consistently accurate across the full season, combined with a clear Form view based on the last five predictions. This highlights hot streaks and reliability patterns that are nearly impossible to spot by looking at predictions for a single match or market.
Below you’ll find compact accuracy tables for all eight betting markets we track. Each table is limited to the Top 3 teams playing today with the highest Overall success rate for that market, plus a visual Form dimension showing the last five predictions (correct/incorrect). To see more teams and the full rankings (Top 15), use the call-to-action button to open the dedicated accuracy page for that market.
Final Result (1X2) – Top 3 Teams Today
Season-long 1X2 prediction accuracy with last-5 Form streaks for the three most predictable teams playing today. Click on any team name to see the 1X2 AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
BTTS (Yes/No) – Top 3 Teams Today
Full-season BTTS accuracy and last-5 prediction outcomes for today’s three strongest BTTS teams. Click on any team name to see the BTTS AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
Over/Under 2.5 Goals – Top 3 Teams Today
Prediction performance for the Over/Under 2.5 goals market, highlighting teams with top accuracy and strong last-5 Form. Click on any team name to view the Over/Under 2.5 AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
Over/Under 3.5 Goals – Top 3 Teams Today
Accuracy stats for the Over/Under 3.5 goals market across today’s fixtures, focusing on the most reliable teams. Click a team name to see the Over/Under 3.5 AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
Correct Score – Top 3 Teams Today
How often our AI correctly predicts the exact final score for the best Correct Score teams playing today. Click any team name to see the Correct Score AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
HT/FT – Top 3 Teams Today
Half-Time/Full-Time prediction accuracy combining season-long performance with last-5 streaks. Click on a team name to see the HT/FT AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
First Half Result – Top 3 Teams Today
First-half (Home/Draw/Away) accuracy for the most predictable teams playing today, including last-5 Form. Click on any team name to view the First Half Result AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
Double Chance – Top 3 Teams Today
Performance of our AI in predicting safer outcomes like 1X, X2 and 12 for today's most reliable Double Chance teams. Click on a team name to see the Double Chance AI predictions for the match it plays today, and pick the tip with the highest predicted probability (%) for that bet.
Football Predictions Accuracy Tracker
| 1 | 52% | |
| X | 22% | |
| 2 | 26% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| Auckland | 18% | 82% | 45% | 55% |
| Newcastle Jets | 35% | 65% | 67% | 33% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 37% | 63% | 51% | 49% |
| 2-1 | 1-1 | 1-0 | 2-0 | 1-2 | 2-2 | 3-1 |
|---|---|---|---|---|---|---|
| 10.4% | 10.1% | 7.8% | 7.0% | 6.7% | 6.1% | 6.1% |
| 1 | 52% | |
| X | 22% | |
| 2 | 26% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 18% | 82% | 45% | 55% |
 | 35% | 65% | 67% | 33% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 37% | 63% | 51% | 49% |
| 2-1 | 1-1 | 1-0 | 2-0 | 1-2 | 2-2 | 3-1 |
|---|---|---|---|---|---|---|
| 10.4% | 10.1% | 7.8% | 7.0% | 6.7% | 6.1% | 6.1% |
| 1 | 44% | |
| X | 27% | |
| 2 | 29% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| San Diego | 26% | 75% | 58% | 42% |
| Vancouver Whitecaps | 36% | 64% | 70% | 30% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 51% | 49% | 62% | 38% |
| 1-1 | 1-0 | 2-1 | 0-1 | 0-0 | 2-0 | 1-2 |
|---|---|---|---|---|---|---|
| 12.1% | 10.3% | 9.0% | 8.3% | 7.9% | 7.2% | 7.0% |
| 1 | 44% | |
| X | 27% | |
| 2 | 29% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 26% | 75% | 58% | 42% |
 | 36% | 64% | 70% | 30% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 51% | 49% | 62% | 38% |
| 1-1 | 1-0 | 2-1 | 0-1 | 0-0 | 2-0 | 1-2 |
|---|---|---|---|---|---|---|
| 12.1% | 10.3% | 9.0% | 8.3% | 7.9% | 7.2% | 7.0% |
| 1 | 60% | |
| X | 22% | |
| 2 | 17% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| Toluca | 15% | 85% | 42% | 58% |
| Juárez | 48% | 52% | 78% | 22% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 43% | 57% | 55% | 45% |
| 1-0 | 2-0 | 2-1 | 1-1 | 3-0 | 3-1 | 0-0 |
|---|---|---|---|---|---|---|
| 10.6% | 10.1% | 9.6% | 9.5% | 6.9% | 6.3% | 6.1% |
| 1 | 60% | |
| X | 22% | |
| 2 | 17% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 15% | 85% | 42% | 58% |
 | 48% | 52% | 78% | 22% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 43% | 57% | 55% | 45% |
| 1-0 | 2-0 | 2-1 | 1-1 | 3-0 | 3-1 | 0-0 |
|---|---|---|---|---|---|---|
| 10.6% | 10.1% | 9.6% | 9.5% | 6.9% | 6.3% | 6.1% |
| 1 | 43% | |
| X | 30% | |
| 2 | 27% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| Fortaleza CEIF | 30% | 70% | 66% | 34% |
| Atlético Bucaramanga | 43% | 57% | 78% | 22% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 64% | 36% | 74% | 26% |
| 1-0 | 1-1 | 0-0 | 0-1 | 2-0 | 2-1 | 1-2 |
|---|---|---|---|---|---|---|
| 14.5% | 13.2% | 12.5% | 10.6% | 8.8% | 8.6% | 6.3% |
| 1 | 43% | |
| X | 30% | |
| 2 | 27% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 30% | 70% | 66% | 34% |
 | 43% | 57% | 78% | 22% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 64% | 36% | 74% | 26% |
| 1-0 | 1-1 | 0-0 | 0-1 | 2-0 | 2-1 | 1-2 |
|---|---|---|---|---|---|---|
| 14.5% | 13.2% | 12.5% | 10.6% | 8.8% | 8.6% | 6.3% |
| 1 | 41% | |
| X | 30% | |
| 2 | 30% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| Central Cordoba SdE | 31% | 69% | 66% | 34% |
| Estudiantes | 39% | 61% | 74% | 26% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 61% | 39% | 71% | 29% |
| 1-1 | 1-0 | 0-0 | 0-1 | 2-1 | 2-0 | 1-2 |
|---|---|---|---|---|---|---|
| 13.5% | 13.2% | 11.3% | 10.6% | 8.4% | 7.7% | 6.9% |
| 1 | 41% | |
| X | 30% | |
| 2 | 30% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 31% | 69% | 66% | 34% |
 | 39% | 61% | 74% | 26% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 61% | 39% | 71% | 29% |
| 1-1 | 1-0 | 0-0 | 0-1 | 2-1 | 2-0 | 1-2 |
|---|---|---|---|---|---|---|
| 13.5% | 13.2% | 11.3% | 10.6% | 8.4% | 7.7% | 6.9% |
| 1 | 31% | |
| X | 29% | |
| 2 | 41% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| Ceará | 37% | 63% | 73% | 27% |
| Cruzeiro | 30% | 70% | 65% | 35% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 59% | 41% | 70% | 30% |
| 1-1 | 0-1 | 1-0 | 0-0 | 1-2 | 0-2 | 2-1 |
|---|---|---|---|---|---|---|
| 13.3% | 12.1% | 10.6% | 10.2% | 8.3% | 7.7% | 7.1% |
| 1 | 31% | |
| X | 29% | |
| 2 | 41% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 37% | 63% | 73% | 27% |
 | 30% | 70% | 65% | 35% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 59% | 41% | 70% | 30% |
| 1-1 | 0-1 | 1-0 | 0-0 | 1-2 | 0-2 | 2-1 |
|---|---|---|---|---|---|---|
| 13.3% | 12.1% | 10.6% | 10.2% | 8.3% | 7.7% | 7.1% |
| 1 | 62% | |
| X | 21% | |
| 2 | 17% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| América | 14% | 86% | 41% | 59% |
| Monterrey | 46% | 54% | 77% | 23% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 41% | 59% | 55% | 45% |
| 2-1 | 1-0 | 1-1 | 2-0 | 3-1 | 3-0 |
|---|---|---|---|---|---|
| 10.9% | 10.2% | 9.7% | 9.6% | 6.8% | 6.5% |
| 1 | 62% | |
| X | 21% | |
| 2 | 17% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 14% | 86% | 41% | 59% |
 | 46% | 54% | 77% | 23% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 41% | 59% | 55% | 45% |
| 2-1 | 1-0 | 1-1 | 2-0 | 3-1 | 3-0 |
|---|---|---|---|---|---|
| 10.9% | 10.2% | 9.7% | 9.6% | 6.8% | 6.5% |
| 1 | 52% | |
| X | 24% | |
| 2 | 24% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| Inter Miami | 17% | 83% | 44% | 56% |
| New York City | 37% | 63% | 68% | 32% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 38% | 62% | 50% | 50% |
| 1-1 | 2-1 | 1-0 | 2-0 | 2-2 | 1-2 | 3-1 |
|---|---|---|---|---|---|---|
| 10.4% | 9.5% | 7.7% | 7.5% | 6.7% | 6.2% | 6.1% |
| 1 | 52% | |
| X | 24% | |
| 2 | 24% |
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 17% | 83% | 44% | 56% |
 | 37% | 63% | 68% | 32% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
| FT | 38% | 62% | 50% | 50% |
| 1-1 | 2-1 | 1-0 | 2-0 | 2-2 | 1-2 | 3-1 |
|---|---|---|---|---|---|---|
| 10.4% | 9.5% | 7.7% | 7.5% | 6.7% | 6.2% | 6.1% |
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
How Accurate Are Our Predictions?
Our prediction model combines machine learning with expert rule logic to forecast match outcomes. We evaluate factors such as team form, head-to-head stats, injuries, and historical trends. The data on this page reflects performance over the most recently completed matches — typically from today and yesterday — and is updated continuously.
What You'll Find Here
- Real-Time Tracking: See updated accuracy stats as soon as matches finish.
- Short-Term Success Rates: View prediction accuracy for recently finished matches, updated daily.
- By League: Compare how well our predictions perform across different leagues like the Premier League, Serie A, and more.
- By Market: Track performance by prediction type: 1X2, Over/Under goals, BTTS, Correct Score, and others.
Why This Matters for Bettors
We believe in transparency. Publishing short-term success rates allows you to:
- Build Trust: Show users our model’s real-world performance.
- Provide Confidence: Help bettors make informed choices based on results.
- Improve Our Model: Use feedback from accuracy to fine-tune future predictions.
Stay Up-to-Date with Our Latest Stats
This page updates automatically as match results come in. Check back frequently to see how today’s predictions performed and monitor ongoing accuracy trends. Want to dive deeper? Check our Football Leagues Accuracy Tracker to see how each league’s predictability compares, based on the last 100 matches for every betting market.