Ekstraklasa21°22 km/h

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    Wisła PłockWisła PłockCounter-attacks & crosses
    vs
    Korona KielceKorona KielceLow block & direct
    The model's lean: 2 · Korona Kielce (39%)Best value by the model: Under 2,5 @ 1.78 (+2 %)

    Wisła PłockKorona Kielce · Ekstraklasa

    1 · Wisła Płock 33%X 28%39% Korona Kielce · 2

    Analysis: Wisła PłockKorona Kielce

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

    In their two meetings since 2023, Wisła Płock has edged out a win and a draw against Korona Kielce, but with such a small sample size, this head-to-head record doesn't weigh as heavily as other factors. The model gives a slight edge to the visitors, Korona Kielce, with a 39% win probability compared to the hosts' 33%. This is reflected in the most likely scorelines too, with a 1-1 draw at 13% and a 0-1 Korona win at 11%.

    Digging into the numbers, Korona Kielce's current form and expected goals offer a clearer picture. They have a slight edge in points and xPoints, suggesting a marginally better performance overall. However, Wisła's counter-attacking style could trouble Korona's low defensive setup if they are caught off guard. Despite this, Korona's lower xGA per match of 1.5 compared to Wisła's 1.9 indicates a more solid defensive record, which could be crucial in tight games.

    The expected goals forecast is nearly even, with Wisła at 1.17 and Korona at 1.22, hinting at a closely contested affair. Meanwhile, the likelihood of over 2.5 goals sits at just 43%, suggesting a low-scoring match is more probable. Additionally, the model rates both teams to score at only 49%, reinforcing the potential for a more cautious and defensive game.

    For bettors, the sharpest angle lies in the under 2.5 goals market. With Betsafe, Betsson, and Nordicbet offering odds of 1.75, this aligns with the model's prediction of a 57% probability for a low-scoring match. Though this presents a 0% edge, the numbers still suggest it's the most realistic outcome here, with a 1-1 draw or a narrow 1-0 victory either way being the likeliest scenarios.

    Wisła PłockWisła Płock
    Form DWDLL
    League ranking xG #13xGA #14xT #15xP/match #14Points #15
    Key players
    • Adam RadwanskiCAMxG 0.04 · xT 0.10
    • Marcus Haglind SangreCBxG 0.07 · xT 0.08
    • Žan RogeljRWxG 0.22 · xT 0.05
    Korona KielceKorona Kielce
    Form DLDWD
    League ranking xG #16xGA #8xT #18xP/match #12Points #11
    Key players
    • Mariusz Paweł StępińskiFxG 0.29 · xT 0.00
    • Wiktor DlugoszRWxG 0.06 · xT 0.03
    • Ariel MosorCBxG 0.18 · xT 0.03

    Match prediction: Wisła PłockKorona Kielce

    Predicted score matrix

    Korona Kielce
    Wisła Płock
    0
    1
    2
    3
    4+
    0
    0–09.5%
    0–110.8%
    0–26.8%
    0–32.8%
    0–4+1.1%
    1
    1–010.3%
    1–113.5%
    1–28.0%
    1–33.3%
    1–4+1.3%
    2
    2–06.3%
    2–17.7%
    2–24.7%
    2–31.9%
    2–4+0.8%
    3
    3–02.4%
    3–13.0%
    3–21.8%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.9%
    4+–11.1%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-010%
    4. 4.0-010%
    5. 5.1-28%
    Expected goals
    1,171,22
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.78EV+0%
    Over 2,543%
    @2.04

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Korona Kielce or draw (X2)65%
    • Under 3.5 goals78%

    Combined probability

    51%

    Fair odds

    1.95

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

    02 · 3 legs

    Balanced

    • Double chance Korona Kielce or draw (X2)65%
    • Under 2.5 goals57%
    • Antonio Cortés Heredia to score15%

    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 score49%
    • Over 2.5 goals43%
    • Žan Rogelj to score18%
    • Tomás Franco Tavares to be booked19%

    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+).

    • Under 2.557% probability@1.78PinnacleEV+2%reference odds
    • Under 2.557% probability@1.75BetsafeEV+0%reference odds
    • Under 2.557% probability@1.75BetssonEV+0%reference odds
    Bookmaker1 · Wisła PłockX2 · Korona Kielce
    Betsafe2.653.152.52
    Betsson2.653.152.52
    Nordicbet2.653.152.52
    Paddy Power2.503.252.50
    Pinnacle2.803.272.53

    Odds updated 26 Aug, 05:13

    Odds movement

    10 %
    36 %31 %

    2.802.80

    X0 %
    31 %26 %

    3.273.27

    20 %
    40 %35 %

    2.532.53

    Over 2,50 %
    49 %44 %

    2.042.04

    Pinnacle · 2 recorded price levels · 24/08/2026 → 26/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Wisła Płock 1Draw 1Korona Kielce 0
    Goals: 31 (⌀ 2)

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

    xG & xGA per match — 3-game rolling average

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

    Wisła Płock
    Korona Kielce
    When goals are scored and conceded 2026
    Wisła Płock (38)
    Korona Kielce (44)
    Pass networks

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

    Wisła Płock
    Marcin Kaminski: 178 passningar, xT 0.13KaminskiMarcus Haglind Sangre: 176 passningar, xT 0.32SangreAdam Radwanski: 164 passningar, xT 0.35RadwanskiŽan Rogelj: 134 passningar, xT 0.13RogeljRafal Leszczynski: 116 passningar, xT 0.21LeszczynskiPatryk Kun: 105 passningar, xT 0.58KunDani Pacheco: 100 passningar, xT 0.47PachecoAfonso Rodrigues e Silva: 60 passningar, xT 0.11SilvaDion Gallapeni: 57 passningar, xT 0.25GallapeniJorge Jimenez: 55 passningar, xT 0.01JimenezMarcin Flis: 54 passningar, xT -0.2Flis
    Korona Kielce
    Patrik Hellebrand: 252 passningar, xT 0.16HellebrandMarcel Pieczek: 144 passningar, xT 0.99PieczekAriel Mosor: 137 passningar, xT 0.06MosorSlobodan Rubežić: 117 passningar, xT 0.27RubežićWiktor Dlugosz: 109 passningar, xT 0.1DlugoszKamil Jakubczyk: 100 passningar, xT 0.02JakubczykKonstantinos Sotiriou: 98 passningar, xT 0.2SotiriouXavier Dziekonski: 97 passningar, xT 0.21DziekonskiMartin Remacle: 67 passningar, xT 0.09RemacleMorgan Fassbender: 47 passningar, xT -0.04FassbenderMariusz Paweł Stępiński: 33 passningar, xT -0.01Stępiński
    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.

    Wisła Płock
    Marcin Kaminski: 178 passningar, xT 0.13KaminskiMarcus Haglind Sangre: 176 passningar, xT 0.32SangreAdam Radwanski: 164 passningar, xT 0.35RadwanskiŽan Rogelj: 134 passningar, xT 0.13RogeljRafal Leszczynski: 116 passningar, xT 0.21LeszczynskiPatryk Kun: 105 passningar, xT 0.58KunDani Pacheco: 100 passningar, xT 0.47PachecoAfonso Rodrigues e Silva: 60 passningar, xT 0.11SilvaDion Gallapeni: 57 passningar, xT 0.25GallapeniJorge Jimenez: 55 passningar, xT 0.01JimenezMarcin Flis: 54 passningar, xT -0.2Flis
    Korona Kielce
    Patrik Hellebrand: 252 passningar, xT 0.16HellebrandMarcel Pieczek: 144 passningar, xT 0.99PieczekAriel Mosor: 137 passningar, xT 0.06MosorSlobodan Rubežić: 117 passningar, xT 0.27RubežićWiktor Dlugosz: 109 passningar, xT 0.1DlugoszKamil Jakubczyk: 100 passningar, xT 0.02JakubczykKonstantinos Sotiriou: 98 passningar, xT 0.2SotiriouXavier Dziekonski: 97 passningar, xT 0.21DziekonskiMartin Remacle: 67 passningar, xT 0.09RemacleMorgan Fassbender: 47 passningar, xT -0.04FassbenderMariusz Paweł Stępiński: 33 passningar, xT -0.01Stępiński

    The teams in numbers

    PerformanceWisła PłockKorona Kielce
    Points45
    xPoints4.45.2
    xG per match1.31.2
    xGA per match1.91.5
    xG within 8s of winning the ball0.120.22
    xGA within 8s of losing the ball0.340.18
    Playing styleWisła PłockKorona Kielce
    Build-up efficiency0.330.32
    Field tilt0.420.52
    xT per match0.830.7
    xTA per match1.21.2
    Won balls, offensive half2724
    Pressing intensity0.250.22
    Pressing efficiency0.240.3
    Pressing efficiency, offensive half0.220.24
    Entries into the box per match1313
    Entries into the box against1210
    Pass completion %0.760.76
    Pass completion % under pressure0.690.71
    Passes per match353349
    Passes against per match337346
    Switches of play per match27.329.9
    Long balls per match2934
    Set piecesWisła PłockKorona Kielce
    xG from free kicks0.010.02
    Corners per match7.75.1
    Corners against per match4.15.6
    xG per corner0.030.04
    xGA per corner against0.020.05
    First touch, offensive corners %0.470.5
    First touch, defensive corners %0.620.64
    OtherWisła PłockKorona Kielce
    Throw-in control0.870.73
    The goalkeepersRafal Leszczynski (Wisła Płock)Xavier Dziekonski (Korona Kielce)
    Saves117
    Save %58%64%
    xG prevented41%34%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Wisła Płock vs Korona Kielce according to our model?

    The model gives Korona Kielce a 39% win probability. Full 1X2 picture: Wisła Płock 33%, draw 28%, Korona Kielce 39%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.