Ekstraklasa16°1,1 mm20 km/h

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    Pogoń SzczecinPogoń SzczecinCounter-attacks & crosses
    22
    Wisla KrakowWisla KrakowPossession control
    The model's lean: 1 · Pogoń Szczecin (59%)

    Pogoń SzczecinWisla Krakow · Ekstraklasa

    1 · Pogoń Szczecin 59%X 22%19% Wisla Krakow · 2

    Analysis: Pogoń SzczecinWisla Krakow

    Anna Karlsson · · A data-driven preview · How the predictions work

    The clash between Pogoń Szczecin and Wisla Krakow is poised on a knife-edge, with one defining question: Can the home side exploit their counter-attacking prowess to break through the possession-heavy approach of their visitors? Pogoń's strength lies in their ability to transition swiftly, exemplified by their xG of 0.57 within 8 seconds of winning the ball — far superior to Wisla's mere 0.05. This rapid counter-attacking capability could be the decisive factor against a Wisla side that prefers to dictate play through possession.

    Despite Wisla's favorable season form, reflected in their superior xPoints and xG per match, their possession-heavy strategy might be tested by Pogoń's efficiency at home. The hosts have historically won 64% of their matches at their ground, a statistic bolstered by the model's probability of a 59% home win tomorrow. While Wisla's defensive solidity — allowing just 1.2 xGA per match — suggests resilience, Pogoń's attacking output of 1.98 expected goals indicates they will carve out opportunities.

    The goal market presents intriguing nuances. With a 61% probability leaning towards over 2.5 goals and a 60% chance of both teams scoring, an open game seems likely. The model's most probable scorelines of 1-1 and 2-1 capture this tension between Pogoń's attacking threats and Wisla's defensive organization.

    From a betting perspective, there is notable value in backing a Pogoń victory. With odds at 2.32 available with Betsafe, Betsson, and Nordicbet, and the model rating this outcome a 59% probability, the home side offers a significant 37% edge.

    In a match where strategic contrasts will clash, the smart money may well rest with Pogoń Szczecin, buoyed by their home advantage and counter-attacking finesse.

    Pogoń SzczecinPogoń Szczecin
    Form WDLWW
    League ranking xG #4xGA #15xT #10xP/match #6Points #4
    Key players
    • Fredrik UlvestadCMxG 0.07 · xT 0.29
    • Paul MukairuLWxG 0.45 · xT 0.04
    • Kellyn Kai Perry-AcostaCAMxG 0.14 · xT 0.02
    Wisla KrakowWisla Krakow
    Form WLWL
    League ranking xG #1xGA #5xT #9xP/match #1Points #6
    Key players
    • Jordi Sánchez RibasFxG 0.95 · xT 0.08
    • Julian LelieveldRBxG 0.00 · xT 0.26
    • Raoul Luca GigerRBxG 0.00 · xT 0.35
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Pogoń Szczecin 59% · Draw 22% · Wisla Krakow 19%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Pogon SzczecinBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,03fair 5,12+18 %
    Miss
    Matchresultat - Wisla KrakowBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,07fair 14,11-50 %
    Miss

    Match prediction: Pogoń SzczecinWisla Krakow

    Predicted score matrix

    Wisla Krakow
    Pogoń Szczecin
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–14.7%
    0–23.0%
    0–31.2%
    0–4+0.5%
    1
    1–08.0%
    1–110.2%
    1–25.9%
    1–32.4%
    1–4+0.9%
    2
    2–08.2%
    2–19.8%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.4%
    3–16.5%
    3–23.9%
    3–31.5%
    3–4+0.6%
    4+
    4+–04.2%
    4+–15.0%
    4+–23.0%
    4+–31.2%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-08%
    4. 4.1-08%
    5. 5.3-16%
    Expected goals
    1,981,19
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.18
    Over 2,561%
    @1.62

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Pogoń Szczecin to win59%
    • Over 1.5 goals83%

    Combined probability

    47%

    Fair odds

    2.12

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

    02 · 3 legs

    Balanced

    • Pogoń Szczecin to win59%
    • Over 2.5 goals61%
    • Fredrik Stensøe Ulvestad to score28%

    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 score60%
    • Over 2.5 goals61%
    • Fredrik Stensøe Ulvestad to score28%
    • Alan Uryga 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Pogoń Szczecin59% probability@2.46PinnacleEV+45%reference odds
    • 1 · Pogoń Szczecin59% probability@2.32BetsafeEV+37%reference odds
    • 1 · Pogoń Szczecin59% probability@2.32BetssonEV+37%reference odds
    Bookmaker1 · Pogoń SzczecinX2 · Wisla Krakow
    Betsafe
    EV+ 37%
    2.32
    3.402.75
    Betsson
    EV+ 37%
    2.32
    3.402.75
    Nordicbet
    EV+ 37%
    2.32
    3.402.75
    Pinnacle
    EV+ 45%
    2.46
    3.292.96

    Odds updated 23 Aug, 05:11

    Odds movement

    1+1 %
    41 %36 %

    2.432.46

    X+5 %
    32 %27 %

    3.123.29

    2-3 %
    34 %29 %

    3.062.96

    Pinnacle · 3 recorded price levels · 20/08/2026 → 23/08/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Pogon Szczecin win 64% of their home matches all-time (36 played).
    xG & xGA per match — 3-game rolling average

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

    Pogoń Szczecin
    Wisla Krakow
    When goals are scored and conceded 2026
    Pogoń Szczecin (52)
    Wisla Krakow (88)
    Pass networks

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

    Pogoń Szczecin
    Dimitrios Keramitsis: 109 passningar, xT 0.06KeramitsisAttila Árpád Szalai: 101 passningar, xT 0.09SzalaiPatryk Dziczek: 99 passningar, xT 0.2DziczekLeonardo Borges da Silva: 97 passningar, xT 0.63SilvaValentin Cojocaru: 78 passningar, xT 0.12CojocaruLinus Wahlqvist: 69 passningar, xT 0.7WahlqvistKellyn Kai Perry-Acosta: 65 passningar, xT 0.01Perry-AcostaPaul Mukairu: 43 passningar, xT -0.13MukairuMusa Juwara: 35 passningar, xT 0.23JuwaraFredrik Ulvestad: 34 passningar, xT 0.49UlvestadDarko Churlinov: 27 passningar, xT -0.05Churlinov
    Wisla Krakow
    Daniel Maxence Maisonneuve: 162 passningar, xT 0.1MaisonneuveAlan Uryga: 159 passningar, xT 0.29UrygaJulian Lelieveld: 157 passningar, xT 0.66LelieveldKacper Duda: 130 passningar, xT 0.14DudaJulius Ertlthaler: 126 passningar, xT 0.17ErtlthalerMarcel Łubik: 118 passningar, xT 0.17ŁubikJakub Bartosz Krzyżanowski: 114 passningar, xT 0.39KrzyżanowskiFrederico Fonseca Pires de Almeida Duarte: 88 passningar, xT 0.69DuarteJames Omonigho Igbekeme: 69 passningar, xT 0.16IgbekemeMarko Bozic: 57 passningar, xT 0.21BozicÁngel Rodado Jareño: 49 passningar, xT 0.14Jareño
    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.

    Pogoń Szczecin
    Dimitrios Keramitsis: 109 passningar, xT 0.06KeramitsisAttila Árpád Szalai: 101 passningar, xT 0.09SzalaiPatryk Dziczek: 99 passningar, xT 0.2DziczekLeonardo Borges da Silva: 97 passningar, xT 0.63SilvaValentin Cojocaru: 78 passningar, xT 0.12CojocaruLinus Wahlqvist: 69 passningar, xT 0.7WahlqvistKellyn Kai Perry-Acosta: 65 passningar, xT 0.01Perry-AcostaPaul Mukairu: 43 passningar, xT -0.13MukairuMusa Juwara: 35 passningar, xT 0.23JuwaraFredrik Ulvestad: 34 passningar, xT 0.49UlvestadDarko Churlinov: 27 passningar, xT -0.05Churlinov
    Wisla Krakow
    Daniel Maxence Maisonneuve: 162 passningar, xT 0.1MaisonneuveAlan Uryga: 159 passningar, xT 0.29UrygaJulian Lelieveld: 157 passningar, xT 0.66LelieveldKacper Duda: 130 passningar, xT 0.14DudaJulius Ertlthaler: 126 passningar, xT 0.17ErtlthalerMarcel Łubik: 118 passningar, xT 0.17ŁubikJakub Bartosz Krzyżanowski: 114 passningar, xT 0.39KrzyżanowskiFrederico Fonseca Pires de Almeida Duarte: 88 passningar, xT 0.69DuarteJames Omonigho Igbekeme: 69 passningar, xT 0.16IgbekemeMarko Bozic: 57 passningar, xT 0.21BozicÁngel Rodado Jareño: 49 passningar, xT 0.14Jareño

    The teams in numbers

    PerformancePogoń SzczecinWisla Krakow
    Points66
    xPoints4.67.9
    xG per match1.82.5
    xGA per match21.2
    xG within 8s of winning the ball0.570.05
    xGA within 8s of losing the ball0.160.2
    Playing stylePogoń SzczecinWisla Krakow
    Build-up efficiency0.330.29
    Field tilt0.330.6
    xT per match1.21.2
    xTA per match1.60.88
    Won balls, offensive half1922
    Pressing intensity0.240.23
    Pressing efficiency0.290.32
    Pressing efficiency, offensive half0.190.25
    Entries into the box per match914
    Entries into the box against1711
    Pass completion %0.750.76
    Pass completion % under pressure0.740.74
    Passes per match282344
    Passes against per match412299
    Switches of play per match28.420.6
    Long balls per match3824
    Set piecesPogoń SzczecinWisla Krakow
    xG from free kicks0.140.02
    Corners per match3.65.8
    Corners against per match56.9
    xG per corner0.020.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.180.22
    First touch, defensive corners %0.60.56
    OtherPogoń SzczecinWisla Krakow
    Throw-in control0.590.81
    The goalkeepersValentin Cojocaru (Pogoń Szczecin)Marcel Łubik (Wisla Krakow)
    Saves1417
    Save %88%68%
    xG prevented62%45%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Pogoń Szczecin vs Wisla Krakow according to our model?

    The model gives Pogoń Szczecin a 59% win probability. Full 1X2 picture: Pogoń Szczecin 59%, draw 22%, Wisla Krakow 19%.

    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 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.