Ekstraklasa: Predictions, Odds & Tips

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    Model-based predictions for the Ekstraklasa — Legia Warsaw, Lech Poznań, Raków and the rest of the Polish top flight, analysed by the same match model that powers PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team: strength, form, playing style, squad and weather.

    The predictions are held against live odds from multiple bookmakers, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.

    Upcoming matches

    League table2026/27

    PosTeamSW–D–LGF–GAPxPxGxGAxGDFTStyle
    1Legia Warszawa43–1–0102107,18,54,1+4,464 %Possession & high press
    2Górnik Zabrze33–0–07393,14,05,1−1,152 %Possession control
    3Lech Poznań32–1–05175,15,22,7+2,557 %Possession & high press
    4Pogoń Szczecin32–0–15264,65,55,9−0,433 %Counter-attacks & crosses
    5Zagłębie Lubin32–0–15464,43,33,7−0,431 %Low block & direct
    6Wisla Krakow42–0–28867,910,05,0+5,060 %Possession control
    7Jagiellonia Białystok32–0–13363,54,04,8−0,855 %Possession control
    8Widzew Łódź41–2–15456,37,95,1+2,855 %Possession & high press
    9KS Cracovia41–2–12356,56,14,0+2,148 %Counter-attacks & crosses
    10Korona Kielce31–1–13343,83,64,9−1,347 %Low block & direct
    11Wisła Płock31–1–13344,13,54,6−1,138 %Counter-attacks & crosses
    12Slask Wroclaw41–1–24545,85,25,4−0,253 %Low block & direct
    13Motor Lublin41–1–25745,26,88,0−1,249 %Counter-attacks & crosses
    14GKS Katowice31–0–24432,84,75,9−1,263 %Counter-attacks & crosses
    15Wieczysta Kraków31–0–26734,24,64,7−0,161 %Balanced & physical
    16Piast Gliwice41–0–371233,14,69,0−4,448 %Balanced & physical
    17Radomiak Radom41–0–341234,55,28,8−3,629 %Counter-attacks & crosses
    18Raków Częstochowa30–0–33603,04,95,8−0,952 %Possession & high press

    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.