Ekstraklasa11°1,5 mm17 km/h

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    Lech PoznańLech PoznańPossession & high press
    vs
    Korona KielceKorona KielcePossession control
    The model's lean: 1 · Lech Poznań (66%)

    Lech Poznań vs Korona Kielce · Ekstraklasa

    1 · Lech Poznań 66%X 20%14% Korona Kielce · 2

    Prediction summary

    BetBuilders AI model prediction for Lech Poznań vs Korona Kielce (Ekstraklasa, Saturday, 17 October 2026): Lech Poznań win 66%, draw 20%, Korona Kielce win 14%. Expected goals (xG): Lech Poznań 2.09, Korona Kielce 1.08. Most likely score: 2-1 (10%). Over 2.5 goals 61%, both teams to score 58%. Double chance: Lech Poznań or draw 86%, Korona Kielce or draw 34%. Prediction updated Friday, 9 October 2026.

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    Analysis: Lech Poznań – Korona Kielce

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

    TEXT: Lech Poznań's impressive home win rate of 67% sets the stage for their clash against Korona Kielce. This formidable record is a testament to Poznań's dominance on their own turf and is further bolstered by their recent head-to-head superiority against Kielce, having won three and drawn once in the last four encounters since 2023. It's a small sample, but it hints at a psychological edge that could favor the hosts.

    Diving into the numbers, Lech's expected goals (xG) of 1.9 per match underscores their offensive prowess, particularly when combined with Korona's less robust defensive record of conceding 1.6 xGA per match. This mismatch suggests that chances will likely come thick and fast for the home side, with the goal-scoring burden likely to fall on their attacking unit accustomed to finding the back of the net.

    Korona, while not pushovers, operate under a possession control style that might struggle against Lech's high press. Their xG of 1.4 per match isn’t negligible, and they might find some success in exploiting any gaps left by Poznań's aggressive approach. However, with Lech's defensive solidity evidenced by an xGA of just 0.92, creating clear-cut chances against them will be a tall order.

    Expect a game that tilts towards the hosts, but not without offensive efforts from Korona. The model’s lean towards a 2-1 or 2-0 outcome reflects this, with over 2.5 goals at 61% probability and both teams to score at 58%. The model gives Lech Poznań a 66% win probability, reflecting a clear edge for the hosts.

    In summary, Lech Poznań should edge this fixture, potentially with a 2-0 victory, keeping Korona at bay while capitalizing on their scoring opportunities. Their home strength and tactical approach look set to maintain their upper hand against a Korona side needing more than just possession to break down the Poznań wall.

    Lech PoznańLech Poznań
    Form WWWLW
    League ranking xG #2xGA #1xT #2xP/match #2Points #3
    Key players
    • Mel Yannick Joel AgneroFxG 0.52 · xT 0.10
    • Mikael IshakFxG 0.56 · xT 0.17
    • Joel PereiraRWBxG 0.00 · xT 0.44
    Korona KielceKorona Kielce
    Form WDWLW
    League ranking xG #15xGA #9xT #18xP/match #8Points #6
    Key players
    • Mariusz Paweł StępińskiFxG 0.61 · xT 0.04
    • Wiktor DlugoszRWBxG 0.04 · xT 0.18
    • Patrik HellebrandCMxG 0.06 · xT 0.05

    Match prediction: Lech Poznań – Korona Kielce

    Predicted score matrix

    Korona Kielce →
    Lech Poznań →
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–14.3%
    0–22.4%
    0–30.9%
    0–4+0.3%
    1
    1–08.5%
    1–19.8%
    1–25.1%
    1–31.8%
    1–4+0.6%
    2
    2–09.2%
    2–19.9%
    2–25.3%
    2–31.9%
    2–4+0.6%
    3
    3–06.4%
    3–16.9%
    3–23.7%
    3–31.3%
    3–4+0.5%
    4+
    4+–05.4%
    4+–15.8%
    4+–23.1%
    4+–31.1%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-110%
    3. 3.2-09%
    4. 4.1-09%
    5. 5.3-17%
    Expected goals
    2,09–1,08
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    –
    Over 2,561%
    –

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    01 · 2 legs

    Safe

    • Lech Poznań to win66%
    • Over 1.5 goals83%

    Combined probability

    52%

    Fair odds

    1.93

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

    02 · 3 legs

    Balanced

    • Lech Poznań to win66%
    • Over 2.5 goals61%
    • Karl Gustav Vilhelm Berggren to score25%

    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 score58%
    • Over 2.5 goals61%
    • Karl Gustav Vilhelm Berggren to score25%
    • Slobodan Rubežić to be booked22%

    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

    Head-to-head

    4 matches
    Lech Poznań 3Draw 1Korona Kielce 0
    Goals: 8–4 (⌀ 3)

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

    Key facts

    • Lech Poznan win 67% of their home matches all-time (39 played).
    xG & xGA per match — 3-game rolling average

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

    Lech Poznań
    Korona Kielce
    When goals are scored and conceded — 2026
    Lech Poznań (17–7)
    Korona Kielce (12–10)
    Pass networks

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

    Lech Poznań
    Wojciech Mońka: 318 passningar, xT 0.24MońkaJoel Pereira: 277 passningar, xT 2.59PereiraMichal Gurgul: 238 passningar, xT 0.5GurgulRadoslaw Murawski: 206 passningar, xT 0.38MurawskiMateusz Skrzypczak: 160 passningar, xT 0.12SkrzypczakMateusz Lis: 128 passningar, xT 0.05LisPablo Rodriguez: 98 passningar, xT 0.66RodriguezTerry Yegbe: 88 passningar, xT 0.14YegbeAllahyar Sayyadmanesh: 74 passningar, xT -0.01SayyadmaneshPatrik Wålemark: 70 passningar, xT 0.9WålemarkFilip Jagiello: 69 passningar, xT 0.2Jagiello
    Korona Kielce
    Patrik Hellebrand: 305 passningar, xT 0.2HellebrandAriel Mosor: 195 passningar, xT 0.15MosorSlobodan Rubežić: 178 passningar, xT 0.56RubežićWiktor Dlugosz: 171 passningar, xT 1.34DlugoszMarcel Pieczek: 151 passningar, xT 0.32PieczekKamil Jakubczyk: 150 passningar, xT 0.29JakubczykXavier Dziekonski: 110 passningar, xT 0.07DziekonskiMartin Remacle: 87 passningar, xT 0.15RemacleOndřej Lingr: 58 passningar, xT 0.07LingrMariusz Paweł Stępiński: 52 passningar, xT -0.06StępińskiCamilo Mena: 42 passningar, xT 0Mena
    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.

    Lech Poznań
    Wojciech Mońka: 318 passningar, xT 0.24MońkaJoel Pereira: 277 passningar, xT 2.59PereiraMichal Gurgul: 238 passningar, xT 0.5GurgulRadoslaw Murawski: 206 passningar, xT 0.38MurawskiMateusz Skrzypczak: 160 passningar, xT 0.12SkrzypczakMateusz Lis: 128 passningar, xT 0.05LisPablo Rodriguez: 98 passningar, xT 0.66RodriguezTerry Yegbe: 88 passningar, xT 0.14YegbeAllahyar Sayyadmanesh: 74 passningar, xT -0.01SayyadmaneshPatrik Wålemark: 70 passningar, xT 0.9WålemarkFilip Jagiello: 69 passningar, xT 0.2Jagiello
    Korona Kielce
    Patrik Hellebrand: 305 passningar, xT 0.2HellebrandAriel Mosor: 195 passningar, xT 0.15MosorSlobodan Rubežić: 178 passningar, xT 0.56RubežićWiktor Dlugosz: 171 passningar, xT 1.34DlugoszMarcel Pieczek: 151 passningar, xT 0.32PieczekKamil Jakubczyk: 150 passningar, xT 0.29JakubczykXavier Dziekonski: 110 passningar, xT 0.07DziekonskiMartin Remacle: 87 passningar, xT 0.15RemacleOndřej Lingr: 58 passningar, xT 0.07LingrMariusz Paweł Stępiński: 52 passningar, xT -0.06StępińskiCamilo Mena: 42 passningar, xT 0Mena

    The teams in numbers

    PerformanceLech PoznańKorona Kielce
    Points1915
    xPoints14.312.5
    xG per match1.91.4
    xGA per match0.921.6
    xG within 8s of winning the ball0.460.17
    xGA within 8s of losing the ball0.090.21
    Playing styleLech PoznańKorona Kielce
    Build-up efficiency0.30.32
    Field tilt0.580.51
    xT per match1.50.76
    xTA per match0.931.3
    Won balls, offensive half2525
    Pressing intensity0.240.23
    Pressing efficiency0.280.3
    Pressing efficiency, offensive half0.250.25
    Entries into the box per match1511
    Entries into the box against1014
    Pass completion %0.790.76
    Pass completion % under pressure0.720.7
    Passes per match379340
    Passes against per match329371
    Switches of play per match27.628.1
    Long balls per match3032
    Set piecesLech PoznańKorona Kielce
    xG from free kicks0.030.07
    Corners per match7.34.7
    Corners against per match4.45.9
    xG per corner0.020.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.330.44
    First touch, defensive corners %0.660.52
    OtherLech PoznańKorona Kielce
    Throw-in control0.730.75
    The goalkeepersMateusz Lis (Lech Poznań)Xavier Dziekonski (Korona Kielce)
    Saves1825
    Save %72%71%
    xG prevented51%55%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lech Poznań vs Korona Kielce according to our model?

    The model gives Lech Poznań a 66% win probability. Full 1X2 picture: Lech Poznań 66%, draw 20%, Korona Kielce 14%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 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 58% according to the model.

    How many goals are expected in Lech Poznań vs Korona Kielce?

    The model expects 2.09 goals (xG) for Lech Poznań and 1.08 for Korona Kielce, 3.16 in total.

    What does the model say about double chance?

    Lech Poznań or draw (1X) 86%, Korona Kielce or draw (X2) 34% and no draw (12) 80%.

    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.