Ekstraklasa15°11,0 mm9 km/h

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    Radomiak RadomRadomiak RadomCounter-attacks & crosses
    vs
    Piast GliwicePiast GliwiceBalanced & physical
    The model's lean: 1 · Radomiak Radom (41%)Best value by the model: Over 2,5 @ 1.67 (+5 %)

    Radomiak RadomPiast Gliwice · Ekstraklasa

    1 · Radomiak Radom 41%X 26%33% Piast Gliwice · 2

    Analysis: Radomiak RadomPiast Gliwice

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

    The 63% probability for over 2.5 goals stands out in the matchup between Radomiak Radom and Piast Gliwice, hinting at a game that might defy the expected defensive postures. While the model slightly favors the hosts with a 41% chance of victory, the 33% for the visitors suggests a tightly contested affair. The expected goals, with Radomiak at 1.51 and Piast at 1.75, indicate potential scoring opportunities on both ends.

    Piast Gliwice's physical style could disrupt Radomiak Radom's counter-attacking game, but both teams are likely to find the net, supported by a 65% chance for both teams to score. The head-to-head record is limited to four matches, with Radomiak Radom holding 1 win, 2 draws, and 1 loss, giving us little definitive insight. Instead, Radomiak's slight edge in expected points (9.0 vs. Piast’s 7.5) and higher xG per match (1.5 vs. 1.2) hint at a mild advantage.

    Given the projected weather conditions—14.8°C with 11.0 mm of rain—the over 2.5 goals line could offer value despite the dampening effect rain might have on goal frequency. However, the model's lean toward Radomiak adds complexity, suggesting a possible scoreline of 2-1 in their favor.

    Radomiak RadomRadomiak Radom
    Form LLDWD
    League ranking xG #14xGA #17xT #17xP/match #12Points #12
    Key players
    • Jan GrzesikRWxG 0.25 · xT 0.16
    • Rafal WolskiRWxG 0.33 · xT 0.11
    • Christos DonisCDMxG 0.03 · xT 0.01
    Piast GliwicePiast Gliwice
    Form LLDWW
    League ranking xG #17xGA #13xT #16xP/match #17Points #6
    Key players
    • Igor DrapinskiCBxG 0.01 · xT 0.06
    • Leandro SancaLWxG 0.25 · xT 0.11
    • Hugo Claudio Vallejo AvilésLWxG 0.16 · xT 0.01

    Match prediction: Radomiak RadomPiast Gliwice

    Predicted score matrix

    Piast Gliwice
    Radomiak Radom
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–16.4%
    0–25.9%
    0–33.4%
    0–4+2.2%
    1
    1–05.5%
    1–110.4%
    1–28.9%
    1–35.2%
    1–4+3.4%
    2
    2–04.4%
    2–17.6%
    2–26.7%
    2–33.9%
    2–4+2.6%
    3
    3–02.2%
    3–13.8%
    3–23.4%
    3–32.0%
    3–4+1.3%
    4+
    4+–01.2%
    4+–12.0%
    4+–21.8%
    4+–31.0%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.2-27%
    5. 5.0-16%
    Expected goals
    1,511,75
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    @2.19
    Over 2,563%
    @1.67EV+5%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Radomiak Radom or draw (1X)57%
    • Over 1.5 goals84%

    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

    • Double chance Radomiak Radom or draw (1X)57%
    • Over 2.5 goals63%
    • Rafał Wolski to score29%

    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 goals63%
    • Rafał Wolski to score29%
    • Jakub Lewicki 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+).

    • Over 2.563% probability@1.67PinnacleEV+5%reference odds
    Bookmaker1 · Radomiak RadomX2 · Piast Gliwice
    Pinnacle2.373.512.84

    Odds updated 9 Sept, 05:12

    Odds movement

    1+1 %
    43 %38 %

    2.352.37

    X0 %
    29 %24 %

    3.503.51

    2-1 %
    36 %31 %

    2.882.84

    Over 2,50 %
    59 %54 %

    1.671.67

    Pinnacle · 2 recorded price levels · 08/09/2026 → 09/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Radomiak Radom 1Draw 2Piast Gliwice 1
    Goals: 34 (⌀ 1,8)

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

    xG & xGA per match — 3-game rolling average

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

    Radomiak Radom
    Piast Gliwice
    When goals are scored and conceded 2026
    Radomiak Radom (613)
    Piast Gliwice (1313)
    Pass networks

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

    Radomiak Radom
    Zie Ouattara: 218 passningar, xT 0.43OuattaraKryspin Szcześniak: 193 passningar, xT 0.21SzcześniakChristos Donis: 159 passningar, xT 0.05DonisFilip Koperski: 148 passningar, xT 0.14KoperskiRafal Wolski: 142 passningar, xT 0.44WolskiJan Grzesik: 136 passningar, xT 0.86GrzesikLucas Lima Linhares: 125 passningar, xT 0.44LinharesIbrahima Camara: 93 passningar, xT 0.42CamaraFilip Majchrowicz: 85 passningar, xT 0.07MajchrowiczConrado Buchanelli Holz: 85 passningar, xT 0.05HolzAdrián Diéguez Grande: 63 passningar, xT 0.02Grande
    Piast Gliwice
    Jakub Czerwinski: 276 passningar, xT 0.21CzerwinskiJuande Rivas: 275 passningar, xT 0.37RivasJakub Labojko: 248 passningar, xT 0.91LabojkoJakub Lewicki: 197 passningar, xT 0.35LewickiEma Twumasi: 182 passningar, xT 0.28TwumasiDomen Gril: 177 passningar, xT -0.05GrilHugo Claudio Vallejo Avilés: 162 passningar, xT -0.05AvilésQuentin Boisgard: 154 passningar, xT 0.36BoisgardOskar Lesniak: 129 passningar, xT 0.06LesniakLeandro Sanca: 74 passningar, xT 0.2SancaIvan Correia Posser Lima: 73 passningar, xT 0.71Lima
    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.

    Radomiak Radom
    Zie Ouattara: 218 passningar, xT 0.43OuattaraKryspin Szcześniak: 193 passningar, xT 0.21SzcześniakChristos Donis: 159 passningar, xT 0.05DonisFilip Koperski: 148 passningar, xT 0.14KoperskiRafal Wolski: 142 passningar, xT 0.44WolskiJan Grzesik: 136 passningar, xT 0.86GrzesikLucas Lima Linhares: 125 passningar, xT 0.44LinharesIbrahima Camara: 93 passningar, xT 0.42CamaraFilip Majchrowicz: 85 passningar, xT 0.07MajchrowiczConrado Buchanelli Holz: 85 passningar, xT 0.05HolzAdrián Diéguez Grande: 63 passningar, xT 0.02Grande
    Piast Gliwice
    Jakub Czerwinski: 276 passningar, xT 0.21CzerwinskiJuande Rivas: 275 passningar, xT 0.37RivasJakub Labojko: 248 passningar, xT 0.91LabojkoJakub Lewicki: 197 passningar, xT 0.35LewickiEma Twumasi: 182 passningar, xT 0.28TwumasiDomen Gril: 177 passningar, xT -0.05GrilHugo Claudio Vallejo Avilés: 162 passningar, xT -0.05AvilésQuentin Boisgard: 154 passningar, xT 0.36BoisgardOskar Lesniak: 129 passningar, xT 0.06LesniakLeandro Sanca: 74 passningar, xT 0.2SancaIvan Correia Posser Lima: 73 passningar, xT 0.71Lima

    The teams in numbers

    PerformanceRadomiak RadomPiast Gliwice
    Points810
    xPoints97.5
    xG per match1.51.2
    xGA per match21.8
    xG within 8s of winning the ball0.330.14
    xGA within 8s of losing the ball0.50.31
    Playing styleRadomiak RadomPiast Gliwice
    Build-up efficiency0.290.3
    Field tilt0.370.5
    xT per match0.840.87
    xTA per match1.61.1
    Won balls, offensive half2324
    Pressing intensity0.260.25
    Pressing efficiency0.290.31
    Pressing efficiency, offensive half0.250.29
    Entries into the box per match1212
    Entries into the box against2113
    Pass completion %0.760.78
    Pass completion % under pressure0.720.73
    Passes per match329401
    Passes against per match362303
    Switches of play per match1722.9
    Long balls per match2123
    Set piecesRadomiak RadomPiast Gliwice
    xG from free kicks0.020.04
    Corners per match5.25.3
    Corners against per match5.46.2
    xG per corner0.020.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.390.35
    First touch, defensive corners %0.620.63
    OtherRadomiak RadomPiast Gliwice
    Throw-in control0.830.75
    The goalkeepersFilip Majchrowicz (Radomiak Radom)Domen Gril (Piast Gliwice)
    Saves1723
    Save %71%64%
    xG prevented45%57%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Radomiak Radom vs Piast Gliwice according to our model?

    The model gives Radomiak Radom a 41% win probability. Full 1X2 picture: Radomiak Radom 41%, draw 26%, Piast Gliwice 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 63% and under at 37%.

    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.