Czech First League: Predictions, Odds & Tips

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    Model-based predictions for the Czech First League — Slavia Prague, Sparta Prague, Viktoria Plzeň and the rest of the Czech 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
    1Slavia Praha43–1–0123107,710,43,0+7,466 %Possession & high press
    2Jablonec33–0–05193,92,52,8−0,353 %Possession & high press
    3Mladá Boleslav42–2–09585,65,45,7−0,348 %Possession control
    4Slovan Liberec42–1–15377,57,04,6+2,441 %Low block & direct
    5Hradec Králové32–1–04275,45,02,4+2,656 %Counter-attacks & crosses
    6Sigma Olomouc42–1–17674,54,85,0−0,253 %Counter-attacks & crosses
    7Teplice42–1–1101075,16,07,0−1,056 %Counter-attacks & crosses
    8Sparta Praha42–0–28765,97,84,4+3,478 %Possession & high press
    9Baník Ostrava42–0–23664,74,67,4−2,854 %Possession control
    10Viktoria Plzeň41–2–1101155,56,65,3+1,360 %Counter-attacks & crosses
    11Zbrojovka Brno31–1–14344,23,24,3−1,135 %Low block & direct
    12Bohemians Praha31–1–13344,03,74,1−0,449 %Counter-attacks & crosses
    13Artis Brno40–1–34814,94,05,6−1,627 %Low block & direct
    14Pardubice40–1–33715,74,05,9−1,935 %Low block & direct
    15Slovácko40–1–33914,63,26,5−3,346 %Low block & direct
    16Zlín40–0–43903,43,77,9−4,236 %Possession control

    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.