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Sezi
UEFA Champions League · Probability table

Champions League predictions, read through the data.

The 36-team single-table league phase mixes squads with wildly different domestic contexts, which makes a like-for-like form comparison unreliable on its own. Sezi normalizes each team's attacking and defensive output before modelling a fixture, so a result against a weaker domestic league doesn't inflate the read.

Every fixture gets a full 1X2 probability — home, draw, away — from a Poisson-based score model and Monte Carlo simulation, alongside both-teams-to-score and over/under 2.5 goals. Midweek European nights swing on fine margins; the model's job is to show the probability behind them, not to promise a result.

Upcoming Champions League fixtures

No Champions League fixtures in the model's current window. Check back closer to matchday, or see the full predictions hub for other leagues.

Recent results

  • Viking FKViking FK3–1Dinamo ZagrebDinamo Zagreb
  • NCNK Celje1–2Slovan BratislavaSlovan Bratislava
  • LyonLyon1–2FenerbahçeFenerbahce
  • AEK AthensAEK Athens4–0Levski SofiaLS
  • LLLASK Linz5–1CelticCeltic

What every prediction includes

1X2 win probability

Modelled home, draw and away probabilities for every fixture — a full read, not a single tip.

Expected goals (xG)

Attacking and defensive output modelled per team — the backbone of every score forecast.

Score & goals markets

Most-likely scorelines, both-teams-to-score and over/under, ranked by probability.

Model confidence

Each prediction shows how sure the model is, so you can weigh strong reads against close calls.

Predictions are model-based statistical estimates for analysis, not guarantees. Outcomes can differ from the probabilities shown.

UEFA Champions League predictions — frequently asked questions.

Are the Champions League predictions free?
Yes. Every the Champions League fixture's probability table is free to read, no account required.
How does Sezi model the Champions League matches?
Sezi combines team form, expected goals (xG) and a Poisson-based score distribution, then runs Monte Carlo simulation to produce a calibrated 1X2, both-teams-to-score and over/under read for each fixture.
Does Sezi predict a winner with certainty?
No. Sezi shows probabilities and the data behind them — a probability reading, not a certainty. The goal is calibration: when the model says 70%, that outcome should land close to 70% of the time.