Ekstraklasa

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    Wisla KrakowWisla KrakowPossession control
    vs
    Jagiellonia BiałystokJagiellonia BiałystokPossession control
    The model's lean: 2 · Jagiellonia Białystok (42%)

    Wisla KrakowJagiellonia Białystok · Ekstraklasa

    1 · Wisla Krakow 34%X 24%42% Jagiellonia Białystok · 2

    Analysis: Wisla KrakowJagiellonia Białystok

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

    TEXT:

    Jagiellonia Białystok's recent form might not suggest it, but the model sees them as slight favorites heading into their clash with Wisla Krakow. It's a curious tilt: the visitors are given a 42% chance of winning compared to the hosts' 34%, despite trailing them in the actual points table.

    Wisla, boasting an xG of 2.0 per match, has shown more cutting edge in the attacking third than their visitors, who lag slightly at 1.7 xG. Wisla's defensive stats also hold a marginal edge, with an xGA of 1.4 compared to Jagiellonia's 1.6. This suggests that, on paper, Wisla is the more balanced team. Their ability to convert chances and hold firm at the back could be critical, especially given their penchant for controlling possession — a trait shared by Jagiellonia, making this a potentially tactical midfield battle.

    The model's most likely scorelines — a 1-1 draw at 10% and Jagiellonia's 1-2 win at 9% — highlight the fine margins in play. With both sides preferring to keep the ball, this could boil down to who capitalizes on the inevitable lapses first. The over 2.5 goals probability, sitting at a high 66%, suggests an open game, notwithstanding both teams' relatively controlled styles.

    Given the expected goals and the model's probabilities, the shrewd bettor might find value in siding with Jagiellonia Białystok, given the model's lean towards them. While Wisla has shown a slightly better overall balance in metrics, the probability tilt subtly suggests an edge for the visitors, setting up a tense and tightly contested fixture.

    Wisla KrakowWisla Krakow
    Form LWLDW
    League ranking xG #1xGA #6xT #12xP/match #3Points #4
    Key players
    • Jordi Sánchez RibasFxG 0.73 · xT 0.06
    • Julian LelieveldRBxG 0.00 · xT 0.26
    • Thody Élie YouanRWxG 0.37 · xT 0.07
    Jagiellonia BiałystokJagiellonia Białystok
    Form WWLWL
    League ranking xG #6xGA #9xT #7xP/match #10Points #6
    Key players
    • Guilherme Manuel Serrão MontóiaLBxG 0.18 · xT 0.27
    • Kajetan SzmytLWxG 0.12 · xT 0.09
    • Nik PrelecFxG 0.51 · xT 0.04

    Match prediction: Wisla KrakowJagiellonia Białystok

    Predicted score matrix

    Jagiellonia Białystok
    Wisla Krakow
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–16.4%
    0–26.5%
    0–34.2%
    0–4+3.3%
    1
    1–04.6%
    1–19.7%
    1–29.3%
    1–36.1%
    1–4+4.6%
    2
    2–03.4%
    2–16.7%
    2–26.6%
    2–34.3%
    2–4+3.3%
    3
    3–01.6%
    3–13.2%
    3–23.1%
    3–32.1%
    3–4+1.6%
    4+
    4+–00.8%
    4+–11.6%
    4+–21.5%
    4+–31.0%
    4+–4+0.8%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.2-27%
    5. 5.0-27%
    Expected goals
    1,431,96
    Both teams to score
    66%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    @2.32
    Over 2,566%
    @1.57EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Jagiellonia Białystok or draw (X2)72%
    • Over 1.5 goals85%

    Combined probability

    62%

    Fair odds

    1.60

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

    02 · 3 legs

    Balanced

    • Double chance Jagiellonia Białystok or draw (X2)72%
    • Over 2.5 goals66%
    • Sergio Lozano Lluch 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 score66%
    • Over 2.5 goals66%
    • Sergio Lozano Lluch to score29%
    • Alan Uryga 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

    The model's value spots

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

    • 2 · Jagiellonia Białystok42% probability@2.90BetsafeEV+21%reference odds
    • 2 · Jagiellonia Białystok42% probability@2.90BetssonEV+21%reference odds
    • 2 · Jagiellonia Białystok42% probability@2.90NordicbetEV+21%reference odds
    Bookmaker1 · Wisla KrakowX2 · Jagiellonia Białystok
    Betsafe2.153.55
    EV+ 21%
    2.90
    Betsson2.153.55
    EV+ 21%
    2.90
    Nordicbet2.153.55
    EV+ 21%
    2.90
    Paddy Power2.103.60
    EV+ 17%
    2.80
    Pinnacle2.243.73
    EV+ 21%
    2.89

    Odds updated 7 Sept, 05:13

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Wisla Krakow
    Jagiellonia Białystok
    When goals are scored and conceded 2026
    Wisla Krakow (1210)
    Jagiellonia Białystok (97)
    Pass networks

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

    Wisla Krakow
    Alan Uryga: 244 passningar, xT 0.3UrygaJulius Ertlthaler: 181 passningar, xT 0.46ErtlthalerMarcel Łubik: 167 passningar, xT 0.22ŁubikKacper Duda: 163 passningar, xT 0.16DudaJulian Lelieveld: 156 passningar, xT 0.66LelieveldJakub Bartosz Krzyżanowski: 147 passningar, xT 0.55KrzyżanowskiDaniel Maxence Maisonneuve: 145 passningar, xT 0.11MaisonneuveRaoul Luca Giger: 114 passningar, xT 0.15GigerJames Omonigho Igbekeme: 113 passningar, xT 0.22IgbekemeDarijo Grujčić: 104 passningar, xT 0.09GrujčićMarko Bozic: 85 passningar, xT 0.3Bozic
    Jagiellonia Białystok
    Bernardo Vital: 248 passningar, xT 0.44VitalGuilherme Manuel Serrão Montóia: 241 passningar, xT 1.15MontóiaNorbert Wojtuszek: 237 passningar, xT 0.23WojtuszekYuki Kobayashi: 208 passningar, xT 0.15KobayashiTaras Romanczuk: 184 passningar, xT 0.21RomanczukSlawomir Abramowicz: 129 passningar, xT -0.1AbramowiczSergio Lozano: 83 passningar, xT 0.46LozanoApostolos Konstantopoulos: 79 passningar, xT 0.26KonstantopoulosJesus Imaz: 77 passningar, xT 0.52ImazRodrigo Fernandes da Conceição: 74 passningar, xT 0.86ConceiçãoKajetan Szmyt: 73 passningar, xT 0.17Szmyt
    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.

    Wisla Krakow
    Alan Uryga: 244 passningar, xT 0.3UrygaJulius Ertlthaler: 181 passningar, xT 0.46ErtlthalerMarcel Łubik: 167 passningar, xT 0.22ŁubikKacper Duda: 163 passningar, xT 0.16DudaJulian Lelieveld: 156 passningar, xT 0.66LelieveldJakub Bartosz Krzyżanowski: 147 passningar, xT 0.55KrzyżanowskiDaniel Maxence Maisonneuve: 145 passningar, xT 0.11MaisonneuveRaoul Luca Giger: 114 passningar, xT 0.15GigerJames Omonigho Igbekeme: 113 passningar, xT 0.22IgbekemeDarijo Grujčić: 104 passningar, xT 0.09GrujčićMarko Bozic: 85 passningar, xT 0.3Bozic
    Jagiellonia Białystok
    Bernardo Vital: 248 passningar, xT 0.44VitalGuilherme Manuel Serrão Montóia: 241 passningar, xT 1.15MontóiaNorbert Wojtuszek: 237 passningar, xT 0.23WojtuszekYuki Kobayashi: 208 passningar, xT 0.15KobayashiTaras Romanczuk: 184 passningar, xT 0.21RomanczukSlawomir Abramowicz: 129 passningar, xT -0.1AbramowiczSergio Lozano: 83 passningar, xT 0.46LozanoApostolos Konstantopoulos: 79 passningar, xT 0.26KonstantopoulosJesus Imaz: 77 passningar, xT 0.52ImazRodrigo Fernandes da Conceição: 74 passningar, xT 0.86ConceiçãoKajetan Szmyt: 73 passningar, xT 0.17Szmyt

    The teams in numbers

    PerformanceWisla KrakowJagiellonia Białystok
    Points109
    xPoints9.86.7
    xG per match21.7
    xGA per match1.41.6
    xG within 8s of winning the ball0.070.13
    xGA within 8s of losing the ball0.20.49
    Playing styleWisla KrakowJagiellonia Białystok
    Build-up efficiency0.270.28
    Field tilt0.550.57
    xT per match11.2
    xTA per match11.1
    Won balls, offensive half2422
    Pressing intensity0.230.23
    Pressing efficiency0.290.33
    Pressing efficiency, offensive half0.240.28
    Entries into the box per match1315
    Entries into the box against1313
    Pass completion %0.760.79
    Pass completion % under pressure0.730.74
    Passes per match364397
    Passes against per match330293
    Switches of play per match20.923.1
    Long balls per match2531
    Set piecesWisla KrakowJagiellonia Białystok
    xG from free kicks0.020.01
    Corners per match5.34.2
    Corners against per match5.64.6
    xG per corner0.030.02
    xGA per corner against0.050.04
    First touch, offensive corners %0.320.33
    First touch, defensive corners %0.580.61
    OtherWisla KrakowJagiellonia Białystok
    Throw-in control0.790.76
    The goalkeepersMarcel Łubik (Wisla Krakow)Slawomir Abramowicz (Jagiellonia Białystok)
    Saves2713
    Save %73%65%
    xG prevented44%43%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Wisla Krakow vs Jagiellonia Białystok according to our model?

    The model gives Jagiellonia Białystok a 42% win probability. Full 1X2 picture: Wisla Krakow 34%, draw 24%, Jagiellonia Białystok 42%.

    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 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 66% 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.