Ekstraklasa15°14 km/h

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    Pogoń SzczecinPogoń SzczecinLow block & direct
    11
    Wisła PłockWisła PłockCounter-attacks & crosses
    The model's lean: 1 · Pogoń Szczecin (58%)

    Pogoń SzczecinWisła Płock · Ekstraklasa

    1 · Pogoń Szczecin 58%X 23%19% Wisła Płock · 2

    Analysis: Pogoń SzczecinWisła Płock

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: Wisła Płock's recent form is troubling, with three consecutive losses weighing heavily on their confidence. Their current plight contrasts starkly with Pogoń Szczecin's more stable footing, both in terms of actual and expected points. The hosts have accumulated 8 points to the visitors' 4, and the xPoints tell a similar story, favoring Pogoń at 8.2 over Wisła's 6.0. This isn't just about points on the board; it's a tale of two teams on diverging trajectories.

    Pogoń's home strength is another factor that could tip the scales. They boast a robust 62% win rate at home over their 37 matches played, a testament to their ability to capitalize on familiar surroundings. Although their head-to-head record since 2023 is split evenly at one win apiece, the sample size is small and less indicative than current form and expected goals.

    The model supports a Pogoń win at 58%, with the most likely scorelines of 1-1 and 1-0 both sitting at 11%. Pogoń's low defense paired with a direct style should find joy against Wisła's counter-attacking setup, especially given the visitors' vulnerability from crosses. Expected goals further highlight Pogoń's attacking edge at 1.83 to Wisła's 0.97, even if the over 2.5 goals market sits finely balanced at 53%.

    The tension in this matchup lies in whether Pogoń can convert their statistical superiority into a tangible result. A calculated assessment of the odds reveals value in backing Pogoń to win, with Unibet offering 1.85. It's an angle worth considering given Wisła's current slump and Pogoń's steady form. A 2-0 Pogoń victory seems plausible, with a slight bias towards over 2.5 goals given the attacking styles on display, alongside a moderate probability of both teams scoring.

    Pogoń SzczecinPogoń Szczecin
    Form LWWDD
    League ranking xG #10xGA #10xT #13xP/match #2Points #10
    Key players
    • Paul MukairuFxG 0.35 · xT 0.02
    • Darko ChurlinovFxG 0.68 · xT -0.02
    • Fredrik UlvestadCMxG 0.04 · xT 0.18
    Wisła PłockWisła Płock
    Form WDLLL
    League ranking xG #11xGA #13xT #15xP/match #15Points #16
    Key players
    • Marcus Haglind SangreCBxG 0.05 · xT 0.07
    • Jorge JimenezFxG 0.06 · xT 0.10
    • Žan RogeljRWxG 0.20 · xT 0.06
    Final score
    11
    The model missed the outcome
    Predicted probabilities: Pogoń Szczecin 58% · Draw 23% · Wisła Płock 19%

    Match prediction: Pogoń SzczecinWisła Płock

    Predicted score matrix

    Wisła Płock
    Pogoń Szczecin
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–15.6%
    0–22.9%
    0–30.9%
    0–4+0.3%
    1
    1–010.8%
    1–111.1%
    1–25.2%
    1–31.7%
    1–4+0.5%
    2
    2–010.2%
    2–19.9%
    2–24.8%
    2–31.5%
    2–4+0.5%
    3
    3–06.2%
    3–16.0%
    3–22.9%
    3–30.9%
    3–4+0.3%
    4+
    4+–04.3%
    4+–14.2%
    4+–22.0%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-011%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-06%
    Expected goals
    1,830,97
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.05
    Over 2,553%
    @1.79

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Pogoń Szczecin to win58%
    • Over 1.5 goals77%

    Combined probability

    46%

    Fair odds

    2.15

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

    02 · 3 legs

    Balanced

    • Pogoń Szczecin to win58%
    • Over 2.5 goals53%
    • Paul Omo Mukairu to score20%

    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 score52%
    • Over 2.5 goals53%
    • Paul Omo Mukairu to score20%
    • Gustav Marcus Haglind-Sangre to be booked21%

    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 Szczecin58% probability@1.91PinnacleEV+10%reference odds
    Bookmaker1 · Pogoń SzczecinX2 · Wisła Płock
    Pinnacle
    EV+ 10%
    1.91
    3.723.89

    Odds updated 7 Sept, 05:13

    Odds movement

    1-1 %
    52 %47 %

    1.931.91

    X+3 %
    28 %23 %

    3.623.72

    2+5 %
    27 %22 %

    3.723.89

    Over 2,50 %
    56 %51 %

    1.791.79

    Pinnacle · 6 recorded price levels · 01/09/2026 → 07/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Pogoń Szczecin 1Draw 0Wisła Płock 1
    Goals: 32 (⌀ 2,5)

    Head-to-head based on Ekstraklasa data since 2023.

    Key facts

    • Wisla Plock have lost 3 in a row.
    • Pogon Szczecin win 62% of their home matches all-time (37 played).
    xG & xGA per match — 3-game rolling average

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

    Pogoń Szczecin
    Wisła Płock
    When goals are scored and conceded 2026
    Pogoń Szczecin (74)
    Wisła Płock (310)
    Pass networks

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

    Pogoń Szczecin
    Dimitrios Keramitsis: 176 passningar, xT 0.27KeramitsisPatryk Dziczek: 167 passningar, xT 0.39DziczekLeonardo Borges da Silva: 158 passningar, xT 0.8SilvaValentin Cojocaru: 125 passningar, xT 0.13CojocaruAttila Árpád Szalai: 121 passningar, xT 0.17SzalaiLinus Wahlqvist: 85 passningar, xT 0.76WahlqvistKellyn Kai Perry-Acosta: 76 passningar, xT 0Perry-AcostaPaul Mukairu: 69 passningar, xT -0.17MukairuMaciej Wojciechowski: 66 passningar, xT 0.08WojciechowskiFredrik Ulvestad: 57 passningar, xT 0.52UlvestadMusa Juwara: 47 passningar, xT 0.29Juwara
    Wisła Płock
    Marcin Kaminski: 231 passningar, xT 0.16KaminskiMarcus Haglind Sangre: 222 passningar, xT 0.35SangreAdam Radwanski: 208 passningar, xT 0.53RadwanskiŽan Rogelj: 162 passningar, xT 0.19RogeljRafal Leszczynski: 148 passningar, xT 0.22LeszczynskiPatryk Kun: 138 passningar, xT 0.77KunAfonso Rodrigues e Silva: 117 passningar, xT 0.31SilvaDani Pacheco: 100 passningar, xT 0.47PachecoDion Gallapeni: 81 passningar, xT 0.57GallapeniJorge Jimenez: 76 passningar, xT 0.28JimenezKrystian Pomorski: 75 passningar, xT 0.03Pomorski
    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: 176 passningar, xT 0.27KeramitsisPatryk Dziczek: 167 passningar, xT 0.39DziczekLeonardo Borges da Silva: 158 passningar, xT 0.8SilvaValentin Cojocaru: 125 passningar, xT 0.13CojocaruAttila Árpád Szalai: 121 passningar, xT 0.17SzalaiLinus Wahlqvist: 85 passningar, xT 0.76WahlqvistKellyn Kai Perry-Acosta: 76 passningar, xT 0Perry-AcostaPaul Mukairu: 69 passningar, xT -0.17MukairuMaciej Wojciechowski: 66 passningar, xT 0.08WojciechowskiFredrik Ulvestad: 57 passningar, xT 0.52UlvestadMusa Juwara: 47 passningar, xT 0.29Juwara
    Wisła Płock
    Marcin Kaminski: 231 passningar, xT 0.16KaminskiMarcus Haglind Sangre: 222 passningar, xT 0.35SangreAdam Radwanski: 208 passningar, xT 0.53RadwanskiŽan Rogelj: 162 passningar, xT 0.19RogeljRafal Leszczynski: 148 passningar, xT 0.22LeszczynskiPatryk Kun: 138 passningar, xT 0.77KunAfonso Rodrigues e Silva: 117 passningar, xT 0.31SilvaDani Pacheco: 100 passningar, xT 0.47PachecoDion Gallapeni: 81 passningar, xT 0.57GallapeniJorge Jimenez: 76 passningar, xT 0.28JimenezKrystian Pomorski: 75 passningar, xT 0.03Pomorski

    The teams in numbers

    PerformancePogoń SzczecinWisła Płock
    Points84
    xPoints8.26
    xG per match1.61.5
    xGA per match1.61.8
    xG within 8s of winning the ball0.410.13
    xGA within 8s of losing the ball0.150.35
    Playing stylePogoń SzczecinWisła Płock
    Build-up efficiency0.320.33
    Field tilt0.360.44
    xT per match0.990.98
    xTA per match1.41.1
    Won balls, offensive half2226
    Pressing intensity0.230.25
    Pressing efficiency0.280.25
    Pressing efficiency, offensive half0.180.26
    Entries into the box per match1016
    Entries into the box against1611
    Pass completion %0.730.76
    Pass completion % under pressure0.730.68
    Passes per match272364
    Passes against per match432328
    Switches of play per match25.329.4
    Long balls per match3430
    Set piecesPogoń SzczecinWisła Płock
    xG from free kicks0.20.01
    Corners per match3.28.1
    Corners against per match4.23.2
    xG per corner0.060.04
    xGA per corner against0.040.02
    First touch, offensive corners %0.190.47
    First touch, defensive corners %0.570.62
    OtherPogoń SzczecinWisła Płock
    Throw-in control0.670.86
    The goalkeepersValentin Cojocaru (Pogoń Szczecin)Rafal Leszczynski (Wisła Płock)
    Saves2213
    Save %88%56%
    xG prevented66%40%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Pogoń Szczecin vs Wisła Płock according to our model?

    The model gives Pogoń Szczecin a 58% win probability. Full 1X2 picture: Pogoń Szczecin 58%, draw 23%, Wisła Płock 19%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.