Ekstraklasa13°11 km/h

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    Zagłębie LubinZagłębie LubinLow block & direct
    1–0
    Jagiellonia BiałystokJagiellonia BiałystokPossession control
    The model's lean: 2 · Jagiellonia Białystok (36%)Best value by the model: X · Draw @ 3.60 (+4 %)

    Zagłębie Lubin vs Jagiellonia Białystok · Ekstraklasa

    1 · Zagłębie Lubin 35%X 29%36% Jagiellonia Białystok · 2

    Prediction summary

    Final score 1–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Zagłębie Lubin vs Jagiellonia Białystok (Ekstraklasa, Sunday, 18 October 2026): Zagłębie Lubin win 35%, draw 29%, Jagiellonia Białystok win 36%. Expected goals (xG): Zagłębie Lubin 1.38, Jagiellonia Białystok 1.35. Most likely score: 1-1 (13%). Over 2.5 goals 51%, both teams to score 56%. Double chance: Zagłębie Lubin or draw 64%, Jagiellonia Białystok or draw 65%. Prediction updated Friday, 9 October 2026.

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    Analysis: Zagłębie Lubin – Jagiellonia Białystok

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Zagłębie Lubin's leaky defence will come under scrutiny as they square off against Jagiellonia Białystok, a team that prefers to dictate play through possession. Despite a recent dip in form, with three consecutive losses, Jagiellonia's possession-oriented approach might just be what they need to regain their footing. However, the hosts' direct style of play could capitalize on any defensive frailties the visitors might exhibit, particularly given Jagiellonia's higher expected goals against per match at 1.7.

    While these two sides are closely matched, both hovering around the same xG per match of 1.4, the points on the board tilt slightly in Lubin's favor with 15 points compared to Jagiellonia's 12. This small margin underlines the hosts' ability to convert their chances effectively, although Jagiellonia's superior model probability suggests an intriguing contest. The tight historical head-to-head record, with just four encounters since 2023, demonstrates a small sample size, thus limiting its influence on predictive analysis.

    The model predicts a slight edge for Jagiellonia Białystok, yet the most likely scoreline remains a 1-1 draw at 13%, underscoring the likelihood of a competitive and potentially cagey affair. With expected goals for both teams almost neck and neck—1.38 for Lubin and 1.35 for Jagiellonia—it's evident we might see a balanced game with both sides having opportunities to seize control.

    From a betting perspective, the under 3.5 goals market presents a modest value opportunity at odds of 1.42 with LeoVegas. The model values this outcome at 71%, offering a slim edge of 1%. Given the playing styles and recent form, a low-scoring draw seems the most plausible result, with a 1-1 scoreline aligning well with the statistical expectations.

    Zagłębie LubinZagłębie Lubin
    Form DWWLL
    League ranking xG #16xGA #6xT #13xP/match #6Points #9
    Key players
    • Marcel RegulaFxG 0.29 · xT 0.10
    • Damian DabrowskiCAMxG 0.07 · xT 0.10
    • Michalis KosidisLWxG 0.26 · xT 0.06
    Jagiellonia BiałystokJagiellonia Białystok
    Form LWLLL
    League ranking xG #14xGA #13xT #11xP/match #17Points #10
    Key players
    • Taras RomanczukCDMxG 0.02 · xT 0.05
    • Bernardo VitalCBxG 0.05 · xT 0.11
    • Guilherme Manuel Serrão MontóiaLBxG 0.13 · xT 0.23
    Final score
    1 – 0
    The model missed the outcome
    Predicted probabilities: Zagłębie Lubin 35% · Draw 29% · Jagiellonia Białystok 36%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Zaglebie LubinBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,58fair 9,98-24 %
    Miss
    Matchresultat - Jagiellonia BialystokBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,15fair 10,48-32 %
    Miss

    Match prediction: Zagłębie Lubin – Jagiellonia Białystok

    Predicted score matrix

    Jagiellonia Białystok →
    Zagłębie Lubin →
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–18.5%
    0–25.9%
    0–32.7%
    0–4+1.2%
    1
    1–08.7%
    1–112.5%
    1–28.2%
    1–33.7%
    1–4+1.7%
    2
    2–06.2%
    2–18.4%
    2–25.6%
    2–32.5%
    2–4+1.1%
    3
    3–02.9%
    3–13.9%
    3–22.6%
    3–31.2%
    3–4+0.5%
    4+
    4+–01.3%
    4+–11.8%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.0-18%
    4. 4.2-18%
    5. 5.1-28%
    Expected goals
    1,38–1,35
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.09EV+2%
    Over 2,551%
    @1.77

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Jagiellonia Białystok or draw (X2)62%
    • Over 1.5 goals76%

    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 Jagiellonia Białystok or draw (X2)62%
    • Over 2.5 goals51%
    • Kajetan Szmyt to score16%

    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 score56%
    • Over 2.5 goals51%
    • Filip Szymczak to score19%
    • Eryk Kozłowski to be booked23%

    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+).

    • X · Draw29% probability@3.60PinnacleEV+4%reference odds
    • Under 2.549% probability@2.09PinnacleEV+2%reference odds
    • Under 3.571% probability@1.42LeoVegasEV+1%reference odds
    Bookmaker1 · Zagłębie LubinX2 · Jagiellonia Białystok
    Betsafe2.553.402.45
    LeoVegas2.553.452.50
    Nordicbet2.553.402.45
    Pinnacle2.57
    EV+ 4%
    3.60
    2.67

    Odds updated 18 Oct, 12:15

    Odds movement

    1-2 %
    39 %34 %

    2.61 → 2.57

    X+1 %
    29 %24 %

    3.56 → 3.60

    2+6 %
    39 %34 %

    2.53 → 2.67

    Over 2,5+1 %
    57 %52 %

    1.75 → 1.77

    Pinnacle · 7 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Zagłębie Lubin 1Draw 1Jagiellonia Białystok 2
    Goals: 4–5 (⌀ 2,2)

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

    Key facts

    • Jagiellonia Bialystok have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Zagłębie Lubin
    Jagiellonia Białystok
    When goals are scored and conceded — 2026
    Zagłębie Lubin (12–13)
    Jagiellonia Białystok (13–16)
    Pass networks

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

    Zagłębie Lubin
    Damian Dabrowski: 153 passningar, xT 0.46DabrowskiZlatan Alomerović: 132 passningar, xT 0.1AlomerovićAleks Lawniczak: 130 passningar, xT 0.57LawniczakRoman Yakuba: 126 passningar, xT 0.95YakubaMichal Nalepa: 115 passningar, xT 0.72NalepaDavid Čolina: 113 passningar, xT 0.31ČolinaFilip Kocaba: 110 passningar, xT 0.19KocabaMarcel Regula: 72 passningar, xT 0.21RegulaJosip Corluka: 42 passningar, xT 0.5CorlukaFilip Szymczak: 40 passningar, xT 0.04SzymczakMateusz Grzybek: 33 passningar, xT 0.16Grzybek
    Jagiellonia Białystok
    Bernardo Vital: 315 passningar, xT 0.51VitalNorbert Wojtuszek: 196 passningar, xT 0.12WojtuszekTaras Romanczuk: 148 passningar, xT 0.03RomanczukApostolos Konstantopoulos: 142 passningar, xT 0.19KonstantopoulosGuilherme Manuel Serrão Montóia: 141 passningar, xT 0.36MontóiaCezary Polak: 131 passningar, xT 0.12PolakYuki Kobayashi: 117 passningar, xT 0.08KobayashiSlawomir Abramowicz: 116 passningar, xT -0.03AbramowiczRodrigo Fernandes da Conceição: 115 passningar, xT 0.56ConceiçãoSergio Lozano: 81 passningar, xT 0.25LozanoAnders Ferslev Klynge: 81 passningar, xT 0.27Klynge
    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.

    Zagłębie Lubin
    Damian Dabrowski: 153 passningar, xT 0.46DabrowskiZlatan Alomerović: 132 passningar, xT 0.1AlomerovićAleks Lawniczak: 130 passningar, xT 0.57LawniczakRoman Yakuba: 126 passningar, xT 0.95YakubaMichal Nalepa: 115 passningar, xT 0.72NalepaDavid Čolina: 113 passningar, xT 0.31ČolinaFilip Kocaba: 110 passningar, xT 0.19KocabaMarcel Regula: 72 passningar, xT 0.21RegulaJosip Corluka: 42 passningar, xT 0.5CorlukaFilip Szymczak: 40 passningar, xT 0.04SzymczakMateusz Grzybek: 33 passningar, xT 0.16Grzybek
    Jagiellonia Białystok
    Bernardo Vital: 315 passningar, xT 0.51VitalNorbert Wojtuszek: 196 passningar, xT 0.12WojtuszekTaras Romanczuk: 148 passningar, xT 0.03RomanczukApostolos Konstantopoulos: 142 passningar, xT 0.19KonstantopoulosGuilherme Manuel Serrão Montóia: 141 passningar, xT 0.36MontóiaCezary Polak: 131 passningar, xT 0.12PolakYuki Kobayashi: 117 passningar, xT 0.08KobayashiSlawomir Abramowicz: 116 passningar, xT -0.03AbramowiczRodrigo Fernandes da Conceição: 115 passningar, xT 0.56ConceiçãoSergio Lozano: 81 passningar, xT 0.25LozanoAnders Ferslev Klynge: 81 passningar, xT 0.27Klynge

    The teams in numbers

    PerformanceZagłębie LubinJagiellonia Białystok
    Points1512
    xPoints14.69.6
    xG per match1.41.4
    xGA per match1.41.7
    xG within 8s of winning the ball0.280.12
    xGA within 8s of losing the ball0.160.31
    Playing styleZagłębie LubinJagiellonia Białystok
    Build-up efficiency0.280.28
    Field tilt0.320.55
    xT per match11.1
    xTA per match0.891
    Won balls, offensive half2723
    Pressing intensity0.250.25
    Pressing efficiency0.290.33
    Pressing efficiency, offensive half0.230.29
    Entries into the box per match1412
    Entries into the box against1513
    Pass completion %0.710.79
    Pass completion % under pressure0.650.73
    Passes per match254404
    Passes against per match354284
    Switches of play per match26.123.2
    Long balls per match3530
    Set piecesZagłębie LubinJagiellonia Białystok
    xG from free kicks0.060.03
    Corners per match3.53.6
    Corners against per match5.85.4
    xG per corner0.060.04
    xGA per corner against0.020.04
    First touch, offensive corners %0.360.33
    First touch, defensive corners %0.570.55
    OtherZagłębie LubinJagiellonia Białystok
    Throw-in control0.830.75
    The goalkeepersZlatan Alomerović (Zagłębie Lubin)Slawomir Abramowicz (Jagiellonia Białystok)
    Saves2629
    Save %72%66%
    xG prevented26%39%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Zagłębie Lubin spelschemaJagiellonia Białystok spelschema

    Frequently asked questions

    Who wins Zagłębie Lubin vs Jagiellonia Białystok according to our model?

    The model gives Jagiellonia Białystok a 36% win probability. Full 1X2 picture: Zagłębie Lubin 35%, draw 29%, Jagiellonia Białystok 36%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in Zagłębie Lubin vs Jagiellonia Białystok?

    The model expects 1.38 goals (xG) for Zagłębie Lubin and 1.35 for Jagiellonia Białystok, 2.73 in total.

    What does the model say about double chance?

    Zagłębie Lubin or draw (1X) 64%, Jagiellonia Białystok or draw (X2) 65% and no draw (12) 71%.

    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.