AI Soccer Predictions — Free Computer Picks for Every League
AI-powered predictions across 15 leagues using real-time form data, standings, head-to-head records, and statistical analysis. 1X2, BTTS, Over/Under, and correct score predictions updated daily with confidence scores.
Written by the Predictify Sports AI team · Last updated May 11, 2026
Soccer Leagues
Premier LeagueEngland · 10 matches/week
La LigaSpain · 10 matches/week
Serie AItaly · 10 matches/week
BundesligaGermany · 9 matches/week
Champions LeagueEurope · 8 matches/matchday
Europa LeagueEurope · 8 matches/matchday
Conference LeagueEurope · 8 matches/matchday
FA CupEngland · Per round
EredivisieNetherlands · 9 matches/week
Liga PortugalPortugal · 9 matches/week
MLSUSA · 14 matches/week
Ligue 1France · 10 matches/week
BrasileirãoBrazil · 10 matches/week
Liga MXMexico · 9 matches/week
Liga Profesional ArgentinaArgentina · 14 matches/week
Soccer Predictions
100 matchesYesterday58 matches
Burnley
Burnley2Aston Villa2
Crystal Palace
Crystal Palace2Everton2
Nottingham Forest
Nottingham Forest1Newcastle1
West Ham
West Ham0Arsenal1
Hellas Verona
Hellas Verona0Como1
Cremonese
Cremonese3Pisa0
Fiorentina
Fiorentina0Genoa0
Parma
Parma2AS Roma3
AC Milan
AC Milan2Atalanta3
FC Dallas
FC Dallas3Real Salt Lake1
Nashville SC
Nashville SC2DC United2
Colorado Rapids
Colorado Rapids0St. Louis City1
Seattle Sounders
Seattle Sounders1San Diego1
Portland Timbers
Portland Timbers6Sporting Kansas City0
San Jose Earthquakes
San Jose Earthquakes1Vancouver Whitecaps1
New York City FC
New York City FC3Columbus Crew0
Minnesota United FC
Minnesota United FC2Austin2
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How Our AI Predicts Soccer
Every soccer prediction on this page is generated the same way. For each fixture the model pulls the two teams' last 5–10 matches, current league standings, head-to-head history over the past three meetings, goals scored and conceded averages split by home/away, and any injury or lineup news available from search grounding at prediction time. Those inputs feed a Gemini reasoning model that outputs a predicted outcome and a confidence score between 50% and 95%.
The model weighs form more heavily than standings because a mid-table side on a five-match winning run is usually more dangerous than a slumping top-four club — historically this is where markets are slowest to react. Home advantage is priced in on a per-league basis (Premier League home teams win ~45%, La Liga ~46%, Serie A ~47%) rather than a single global number. Expected goals (xG) from recent matches feeds the BTTS and Over/Under markets alongside the 1X2 pick.
Confidence scores are not the implied probability from bookmaker odds — they're the model's independent probability estimate. A 70% AI confidence on a team priced at +150 (40% implied) means the model sees a 30% edge over the market. That's precisely the gap our value bet finder surfaces as a positive-EV opportunity. Predictions below 60% confidence are labelled “lean” rather than strong calls, and we do not publish picks the model rates under 50%.
Every prediction is time-stamped before kickoff and logged permanently. After the match finishes we grade the 1X2 pick against the actual result — no retroactive edits, no deleted picks. The full graded history lives on our accuracy page. For a deeper walk-through, see the methodology page.
Why Form on Surface Doesn’t Apply — But Form on Schedule Does
Honest Accuracy Tracking
View live accuracy →We track every soccer prediction across all four covered markets (1X2, Over/Under 2.5, BTTS, double chance). Hits, misses, sample sizes, per-league calibration — all visible at /accuracy.
Soccer is our highest-volume sport. We grade hundreds of matches per week during peak season, which means our sample sizes accumulate quickly and the calibration data becomes meaningful within weeks rather than months. That said, we don’t aggregate across leagues without surfacing the breakdown — La Liga calibration and MLS calibration aren’t the same thing, and we don’t pretend they are.
If we hit 65% on Over 2.5 picks across 200 Bundesliga matches, that’s a number worth showing. If we hit 40% on first-round Copa Libertadores ties because our coverage of South American club football is thinner, that’s also worth showing. Honest beats impressive.
Glossary: Key Soccer Markets and Factors We Use
1X2
The standard soccer match-result market. 1 = home win, X = draw, 2 = away win. Most predictive engines lead with this market because it’s the most-bet and most-liquid — the bookmaker margin is tightest here, meaning value is hardest to find but most replicable.
Over / Under 2.5 goals
A bet on whether the total goals scored in the match exceed 2.5. Highly correlated with league norms — Premier League sits around 2.7 goals/match average, Serie A historically lower, Eredivisie typically higher. Useful when teams’ attacking and defensive numbers diverge clearly from the league baseline.
BTTS — both teams to score
A yes/no on whether each side scores at least one goal. Different from Over 2.5 — a 2-0 win covers Over 1.5 but doesn’t cover BTTS. Strong correlation with team-level signals: leaky defences and reliable attacks are the BTTS sweet spot.
Double chance
Combines two of the three 1X2 outcomes into one bet (e.g. 1X = home win OR draw). Lower payout, much higher probability. Useful when our model has a clear lean against a specific outcome (e.g. confident the away team won’t win) without strong conviction on home win versus draw.
xG — expected goals
A statistical measure of the quality of chances created in a match, regardless of whether they were converted. We use xG as one form-related signal: a team consistently outperforming their xG might be on a hot streak about to regress; a team underperforming xG is often unlucky and due to bounce back.
Form (last 6 home / last 6 away)
Recent results context-split. A team that’s strong at home and weak away is a different beast than one that’s mediocre everywhere — the away/home split tells you more than the league position.
Head-to-head (H2H)
Career record between two clubs. Less predictive in soccer than in tennis (clubs change players every season; tennis players are constants). We weigh recent H2H (last 5 meetings) more than total H2H.
Soccer Betting Strategy Tips
Find the league where you have actual edge
Casual bettors spread thin across every match in the Premier League. Sharp bettors specialise in one or two leagues and know them better than the bookmaker. Pick a league or two and learn the relegation-battle dynamics, the rotation patterns of the top sides, the home-advantage levels at specific stadiums. Edge compounds with depth.
Over/Under and BTTS markets are softer than 1X2
The match-result market gets the most bookmaker attention; the goal-total markets often run a few minutes behind on news (lineup changes, weather updates) and are priced less aggressively. If our model deviates strongly from the bookmaker’s line on Over 2.5 or BTTS, that’s typically a higher-value signal than a similar deviation on 1X2.
Don’t blindly back the favourite in cup ties
Cup competitions, especially first-leg ties or semi-finals, produce different team behaviour than league matches. A Premier League side at home against a lower-division club in the FA Cup may rest key players. A Champions League leg against an opponent expected in the next round draw may sit deeper than usual. The market often catches up to this; the model has to be specifically tuned for it.
Watch lineups, not pre-match odds
Soccer lineups release roughly an hour before kick-off and move betting markets sharply. If the model’s pick relies on a specific player being in the lineup, check the team news. Our predictions update continuously, but lineup confirmation always trumps any model output.
Track results by market, not just overall
Most bettors look at their record as one number. The reality is you might be sharp on 1X2 picks and weak on Over/Under, or vice versa. Keep separate logs per market. Find the one where you have edge, double down there, lay off the others.
Soccer Betting Guide
1X2 Is the Core Bet
The three-way result (home/draw/away) is the most liquid soccer market. Our AI analyzes form, standings, and head-to-head records to assess outcome probabilities.
BTTS Is Undervalued
Both Teams to Score has become one of the most popular markets. Our predictions factor in goals scored/conceded averages, home/away scoring splits, and recent form.
League Matters
EPL is the most efficient market. La Liga and Serie A have more mispriced lines. Champions League knockout rounds are high-variance.
Soccer Predictions — FAQ
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Do you predict correct score for soccer?▾
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