AI TRACK RECORD

We believe in 100% transparency. Check out our past AI predictions and our overall success rate.

85%
Overall Win Rate
72
Total Predictions
61
Predictions Won
DateMatchLeaguePredictionConfidenceResult
2026-06-09Kyrgyzstan vs PalestineInternational FriendliesDraw75% WON (0-0)
2026-06-09Vanuatu vs FijiInternational FriendliesHome Win75% LOST ()
2026-06-09Latvia vs Faroe IslandsBaltic CupHome Win68% LOST ()
2026-06-09San Marino vs AzerbaijanInternational FriendliesAway Win88% WON ()
2026-06-09América Mineiro vs Atlético GoianienseBrasileirão Série BAway Win72% WON ()
2026-06-09Osters IF vs IFK VarnamoSuperettanHome Win62% WON ()
2026-06-09Liverpool FC Montevideo vs Cerro Largo FCPrimera DivisiónDraw72% WON ()
2026-06-09Finland Women vs Portugal WomenUEFA Women's World Cup QualificationAway Win72% LOST ()
2026-06-09Sweden Women vs Italy WomenWomen's World Cup Qualification EuropeDraw68% WON ()
2026-06-09China vs ThailandInternational FriendliesDraw75% WON ()
2026-06-09Netherlands Women vs Poland WomenWomen's World Cup Qualification UEFAHome Win90% WON ()
2026-06-09Philippines vs MyanmarInternational FriendlyHome Win75% WON ()
2026-06-09FC Livyi Bereh Kyiv vs FC OleksandriaUkrainian Premier LeagueHome Win75% WON (1-0)
2026-06-09England Women vs Ukraine WomenUEFA Women's World Cup QualifiersHome Win95% WON ()
2026-06-09Congo DR vs ChileInternational FriendliesDraw65% LOST ()
2026-06-09Russia vs Trinidad and TobagoInternational FriendliesHome Win85% WON (3-0)
2026-06-09UD Almeria vs CD CastellonLa Liga 2Draw70% LOST ()
2026-06-09Vila Nova vs Botafogo-SPBrasileirão Série BHome Win78% WON ()
2026-06-09France Women vs Republic of Ireland WomenWomen's World Cup QualifyingHome Win80% WON ()
2026-06-09Angola vs Central African RepublicInternational FriendlyHome Win65% WON ()
2026-06-09Norway Women vs Austria WomenFIFA Women's World Cup QualificationHome Win78% WON ()
2026-06-09Belarus vs Burkina FasoInternational FriendlyDraw65% WON ()
2026-06-09Sandvikens IF vs Falkenbergs FFSuperettanAway Win72% LOST ()
2026-06-09Armenia vs MoldovaInternational FriendliesDraw70% WON (1-1)
2026-06-09Serbia Women vs Denmark WomenFIFA Women's World Cup QualificationAway Win88% WON ()
2026-06-09FC Honka vs HJK HelsinkiSuomen CupAway Win82% WON ()
2026-06-09Hungary vs KazakhstanInternational FriendlyHome Win70% WON ()
2026-06-09Atlético Nacional vs Junior FCLiga BetPlayHome Win72% WON ()
2026-06-09Northern Ireland Women vs Switzerland WomenWomen's World Cup QualificationAway Win80% WON ()
2026-06-09Estonia vs LithuaniaBaltic CupHome Win68% WON (1-0)
2026-06-08FC KTP Kotka vs FC Haka ValkeakoskiYkkösliigaHome Win78% LOST ()
2026-06-08FC Stockholm Internazionale vs Vasalunds IFEttan NorraHome Win68% WON ()
2026-06-08Wydad Casablanca vs Olympique SafiBotola ProHome Win85% WON ()
2026-06-08France vs Northern IrelandInternational FriendliesHome Win85% WON ()
2026-06-08Atlético Nacional vs Junior FCLiga BetPlayHome Win78% WON ()
2026-06-08Vila Nova FC vs Botafogo SPSerie BHome Win80% WON ()
2026-06-08América Mineiro vs Atlético GoianienseSérie BAway Win78% WON ()
2026-06-08Ängelholms FF vs BK OlympicEttan SödraDraw72% WON (1-1)
2026-06-08Colombia vs JordanInternational FriendlyHome Win85% WON ()
2026-06-08Peru vs SpainFIFA International FriendliesAway Win85% WON ()
2026-06-08ENPPI vs Al-MasryLeague CupAway Win72% WON ()
2026-06-07Croatia vs SloveniaInternational FriendlyHome Win78% WON ()
2026-06-07Ranheim IL vs Strømmen IF1st Division (Norway)Home Win90% LOST ()
2026-06-07Cheonan City FC vs Suwon FCK League 2Draw70% WON ()
2026-06-07Kenya vs LesothoInternational Friendly GamesHome Win70% WON ()
2026-06-07Greece vs ItalyInternational FriendlyAway Win78% WON ()
2026-06-07Ascoli Calcio 1898 vs Union BresciaSerie CHome Win75% WON ()
2026-06-07Club Atlético Progreso vs Albion FCUruguayan Primera DivisionAway Win70% WON ()
2026-06-07Maldives vs Bangladesh U23International FriendliesDraw70% WON ()
2026-06-07Denmark vs UkraineInternational FriendlyHome Win72% WON (2-1)

Full Transparency: Our AI Football Prediction Track Record

Every match, every prediction, every result. Verified by data.

Why We Publish Our Results

In the world of football analysis, trust is everything. Many platforms claim high success rates but hide their losing streaks. At PredictorAI, we believe that transparency in AI football predictions is the only way to build long-term relationships with our users. Our AI football track record is a living document of our algorithm's performance.

By analyzing our past AI match predictions, you can see exactly how our models perform across different leagues and markets. Whether it's Premier League AI analysis or Champions League correct score predictions, we show you the hits and the misses.

Continuous Learning & Model Improvement

Our neural network doesn't just predict; it learns. Every result in our AI football success rate table is fed back into the system. If the AI predicted a high-scoring game that ended 0-0, it analyzes the tactical anomalies and adjusts its weights for future Over 2.5 goals predictions. This iterative process is what makes our accurate AI football analysis more reliable over time.

How to Read Our Track Record

Our AI football prediction history is categorized by date, league, and market. You can see the AI confidence level for each pick. A key strategy for our users is to track the performance of "High Confidence" picks (85%+), which historically maintain a significantly higher win rate than the market average.

We also track AI correct score accuracy. While predicting exact scores is inherently difficult, our AI consistently identifies the most probable scorelines, providing a massive edge for correct score analysis strategies and those looking for aı correct score predictions.

Performance Metrics

  • Yield: We measure the statistical profitability of our analysis based on standard market probabilities.
  • Hit Rate: The percentage of successful 1X2 and BTTS predictions.
  • Draw Detection: Our AI is particularly skilled at identifying high-value draw outcomes.

Historical AI Performance Analysis

Our AI football analysis history spans across thousands of matches. We use Poisson distribution and Monte Carlo simulations to verify our historical data against actual outcomes. This rigorous backtesting ensures that our daily AI football analysis remain the most accurate in the industry.