Ekstraklasa

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    Wisla KrakowWisla KrakowPossession control
    vs
    Slask WroclawSlask WroclawLow block & direct
    The model's lean: 1 · Wisla Krakow (42%)

    Wisla KrakowSlask Wroclaw · Ekstraklasa

    1 · Wisla Krakow 42%X 25%33% Slask Wroclaw · 2

    Analysis: Wisla KrakowSlask Wroclaw

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Wisla Krakow's 42% probability to win over Slask Wroclaw's 33% points to a slight edge for the hosts. Their possession control approach aligns well against the visitors' low defensive setup, suggesting a tactical chess match. Yet Wisla's 11 points to Slask's 6 gives them a clear form advantage, bolstered by xPoints (11.1 to 9.8) and expected goals per match (1.9 to 1.5).

    The most likely scoreline is 1-1, though the model's overall lean still favors a Wisla Krakow win, and the 64% chance of over 2.5 goals indicates potential for a more open game than styles suggest. Both teams are likely to score, given a 65% likelihood. Despite Slask's defensive orientation, Wisla's superior xG suggests they can break through more than once, hinting at a likely 2-1 outcome.

    With a penchant for stability, one might gravitate toward Wisla's win at odds of 42%. However, the real value lies in the over 2.5 goals market, given its 64% probability. This indicates that goals should flow despite conservative tactics, offering a promising angle for those seeking a solid bet.

    Wisla KrakowWisla Krakow
    Form WLDWD
    League ranking xG #2xGA #5xT #10xP/match #4Points #5
    Key players
    • Jordi Sánchez RibasFxG 0.61 · xT 0.04
    • Julian LelieveldRBxG 0.00 · xT 0.26
    • Thody Élie YouanRWxG 0.36 · xT 0.13
    Slask WroclawSlask Wroclaw
    Form DLDDL
    League ranking xG #13xGA #8xT #3xP/match #9Points #14
    Key players
    • Piotr Samiec-TalarRWxG 0.40 · xT 0.27
    • Luka MarjanacFxG 0.39 · xT 0.20
    • Przemyslaw BanaszakFxG 0.26 · xT 0.14

    Match prediction: Wisla KrakowSlask Wroclaw

    Predicted score matrix

    Slask Wroclaw
    Wisla Krakow
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–15.6%
    0–24.5%
    0–32.4%
    0–4+1.3%
    1
    1–06.2%
    1–110.4%
    1–27.8%
    1–34.1%
    1–4+2.2%
    2
    2–05.6%
    2–18.7%
    2–26.8%
    2–33.5%
    2–4+1.9%
    3
    3–03.2%
    3–15.0%
    3–23.9%
    3–32.0%
    3–4+1.1%
    4+
    4+–02.1%
    4+–13.2%
    4+–22.5%
    4+–31.3%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.2-27%
    5. 5.1-06%
    Expected goals
    1,731,55
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    Over 2,564%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Wisla Krakow or draw (1X)66%
    • Over 1.5 goals84%

    Combined probability

    55%

    Fair odds

    1.81

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Double chance Wisla Krakow or draw (1X)66%
    • Over 2.5 goals64%
    • Jordi Sánchez Ribas to score23%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score65%
    • Over 2.5 goals64%
    • Jordi Sánchez Ribas to score23%
    • Kacper Duda to be booked23%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Wisla Krakow
    Slask Wroclaw
    When goals are scored and conceded 2026
    Wisla Krakow (1311)
    Slask Wroclaw (911)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Wisla Krakow
    Alan Uryga: 279 passningar, xT 0.31UrygaKacper Duda: 173 passningar, xT 0.09DudaJulius Ertlthaler: 171 passningar, xT 0.56ErtlthalerMarcel Łubik: 169 passningar, xT 0.19ŁubikDarijo Grujčić: 165 passningar, xT 0.38GrujčićRaoul Luca Giger: 158 passningar, xT 0.18GigerJakub Bartosz Krzyżanowski: 155 passningar, xT 0.76KrzyżanowskiJames Omonigho Igbekeme: 122 passningar, xT 0.23IgbekemeJulian Lelieveld: 119 passningar, xT 0.55LelieveldDaniel Maxence Maisonneuve: 107 passningar, xT 0.12MaisonneuveMarko Bozic: 95 passningar, xT 0.47Bozic
    Slask Wroclaw
    Mariusz Malec: 200 passningar, xT 0.15MalecYehor Matsenko: 188 passningar, xT 0.7MatsenkoMarc Llinares: 167 passningar, xT 0.19LlinaresGrzegorz Tomasiewicz: 153 passningar, xT 0.41TomasiewiczPiotr Samiec-Talar: 137 passningar, xT 0.97Samiec-TalarIrodotos Christodoulou: 94 passningar, xT 0.21ChristodoulouJorge Luis Yriarte González: 92 passningar, xT 0.12GonzálezAlex Emilio Timossi Andersson: 84 passningar, xT 0.74AnderssonEniss Shabani: 83 passningar, xT 0.27ShabaniLamine Ba: 83 passningar, xT 0.11BaKarol Stanisław Niemczycki: 81 passningar, xT 0.07Niemczycki
    xT networks

    The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.

    Wisla Krakow
    Alan Uryga: 279 passningar, xT 0.31UrygaKacper Duda: 173 passningar, xT 0.09DudaJulius Ertlthaler: 171 passningar, xT 0.56ErtlthalerMarcel Łubik: 169 passningar, xT 0.19ŁubikDarijo Grujčić: 165 passningar, xT 0.38GrujčićRaoul Luca Giger: 158 passningar, xT 0.18GigerJakub Bartosz Krzyżanowski: 155 passningar, xT 0.76KrzyżanowskiJames Omonigho Igbekeme: 122 passningar, xT 0.23IgbekemeJulian Lelieveld: 119 passningar, xT 0.55LelieveldDaniel Maxence Maisonneuve: 107 passningar, xT 0.12MaisonneuveMarko Bozic: 95 passningar, xT 0.47Bozic
    Slask Wroclaw
    Mariusz Malec: 200 passningar, xT 0.15MalecYehor Matsenko: 188 passningar, xT 0.7MatsenkoMarc Llinares: 167 passningar, xT 0.19LlinaresGrzegorz Tomasiewicz: 153 passningar, xT 0.41TomasiewiczPiotr Samiec-Talar: 137 passningar, xT 0.97Samiec-TalarIrodotos Christodoulou: 94 passningar, xT 0.21ChristodoulouJorge Luis Yriarte González: 92 passningar, xT 0.12GonzálezAlex Emilio Timossi Andersson: 84 passningar, xT 0.74AnderssonEniss Shabani: 83 passningar, xT 0.27ShabaniLamine Ba: 83 passningar, xT 0.11BaKarol Stanisław Niemczycki: 81 passningar, xT 0.07Niemczycki

    The teams in numbers

    PerformanceWisla KrakowSlask Wroclaw
    Points116
    xPoints11.19.8
    xG per match1.91.5
    xGA per match1.31.4
    xG within 8s of winning the ball0.10.35
    xGA within 8s of losing the ball0.170.28
    Playing styleWisla KrakowSlask Wroclaw
    Build-up efficiency0.270.31
    Field tilt0.550.56
    xT per match1.11.3
    xTA per match0.981.2
    Won balls, offensive half2524
    Pressing intensity0.240.25
    Pressing efficiency0.30.27
    Pressing efficiency, offensive half0.240.22
    Entries into the box per match1317
    Entries into the box against1215
    Pass completion %0.770.74
    Pass completion % under pressure0.720.7
    Passes per match368319
    Passes against per match314352
    Switches of play per match21.921.9
    Long balls per match2529
    Set piecesWisla KrakowSlask Wroclaw
    xG from free kicks0.020.01
    Corners per match5.44.2
    Corners against per match5.55.3
    xG per corner0.030.02
    xGA per corner against0.040.04
    First touch, offensive corners %0.350.53
    First touch, defensive corners %0.610.66
    OtherWisla KrakowSlask Wroclaw
    Throw-in control0.790.71
    The goalkeepersMarcel Łubik (Wisla Krakow)Karol Stanisław Niemczycki (Slask Wroclaw)
    Saves3120
    Save %74%69%
    xG prevented51%63%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Wisla Krakow vs Slask Wroclaw according to our model?

    The model gives Wisla Krakow a 42% win probability. Full 1X2 picture: Wisla Krakow 42%, draw 25%, Slask Wroclaw 33%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 65% according to the model.

    Why are some legs locked in the bet builder?

    The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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