Belgian Pro LeaguePlanet Group Arena, Gent15°0,3 mm22 km/h

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    GentGentBalanced & physical
    vs
    Standard LiègeStandard LiègePossession control
    The model's lean: 1 · Gent (49%)

    GentStandard Liège · Belgian Pro League

    1 · Gent 49%X 29%21% Standard Liège · 2

    Analysis: GentStandard Liège

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

    TEXT:

    Gent's dominance in the head-to-head encounters since 2023 is unmistakable, having claimed victory in all four of their recent matchups against Standard Liège. While the sample size is small, it nonetheless aligns with their current form. Gent enters this contest riding a wave of five consecutive wins, an indication of their solid performance this season. Their robust defensive setup, allowing just 0.59 expected goals against per match, further underscores their strength at the back.

    Standard, on the other hand, have been rallying with three straight wins, finding success through a possession-based approach. However, their defensive frailty, conceding an expected 1.6 goals per match, could be their undoing against Gent's balanced and physical style. Despite Standard's ability to generate more expected goals per match at 1.8, their vulnerability in defense presents a stark contrast to Gent's solidity.

    The model probabilities offer Gent a substantial edge, with a 49% chance of securing the win compared to Standard's 21%. A tight contest is anticipated, reflected in the most likely scorelines of 1-1 and 1-0, each suggesting a close match with possibly only a single goal margin.

    With a slight edge towards over 2.5 goals at 51%, the expectation leans toward a moderately high-scoring affair, though both teams finding the net remains close to a coin flip at 53%. This points towards a game that might see goals at both ends rather than a tightly shut-out contest.

    For bettors searching for value, Gent's model win probability of 49% against the field stands out as a point of interest, offering a potential angle based on current form and historical dominance.

    GentGent
    Form WWWWW
    League ranking xG #12xGA #1xT #13xP/match #1Points #1
    Key players
    • Momodou Lamin SonkoLWxG 0.14 · xT 0.11
    • Tiago AraujoLBxG 0.09 · xT 0.21
    • Siebe Van der HeydenCBxG 0.10 · xT 0.12
    Standard LiègeStandard Liège
    Form DDWWW
    League ranking xG #5xGA #9xT #8xP/match #8Points #6
    Key players
    • Dennis Yerai Eckert AyensaFxG 0.61 · xT 0.02
    • Casper NielsenRWxG 0.23 · xT 0.32
    • Adnane AbidLWxG 0.25 · xT 0.28

    Match prediction: GentStandard Liège

    Predicted score matrix

    Standard Liège
    Gent
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–16.5%
    0–23.5%
    0–31.2%
    0–4+0.4%
    1
    1–010.7%
    1–111.8%
    1–26.0%
    1–32.1%
    1–4+0.7%
    2
    2–09.3%
    2–19.7%
    2–25.0%
    2–31.7%
    2–4+0.6%
    3
    3–05.2%
    3–15.4%
    3–22.8%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.2%
    4+–13.4%
    4+–21.7%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,691,04
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    Over 2,551%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Gent to win49%
    • Over 1.5 goals76%

    Combined probability

    41%

    Fair odds

    2.41

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

    02 · 3 legs

    Balanced

    • Gent to win49%
    • Over 2.5 goals51%
    • Josué Yamir Vergara Ortega to score35%

    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 score53%
    • Over 2.5 goals51%
    • Josué Yamir Vergara Ortega to score35%
    • Rayan Touzghar 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
    Gent 4Draw 0Standard Liège 0
    Goals: 140 (⌀ 3,5)

    Head-to-head based on Belgian Pro League data since 2023.

    Key facts

    • KAA Gent come into this round on 5 straight wins.
    • Standard Liege come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Gent
    Standard Liège
    When goals are scored and conceded 2026
    Gent (102)
    Standard Liège (106)
    Pass networks

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

    Gent
    Siebe Van der Heyden: 329 passningar, xT 0.59HeydenChristian Burgess: 269 passningar, xT 0.26BurgessMouhamed El Bachir Ngom: 239 passningar, xT 0.65NgomTiago Araujo: 229 passningar, xT 1.07AraujoMathias Delorge: 165 passningar, xT 0.3DelorgeDavy Roef: 153 passningar, xT 0.05RoefLeonardo Lopes: 128 passningar, xT 0.07LopesTibe De Vlieger: 102 passningar, xT 0.04VliegerMomodou Lamin Sonko: 90 passningar, xT 0.33SonkoMatties Volckaert: 66 passningar, xT 0.43VolckaertAime Omgba: 62 passningar, xT -0.04Omgba
    Standard Liège
    Alexis Trouillet: 239 passningar, xT 0.24TrouilletIbe Hautekiet: 216 passningar, xT 0.09HautekietIbrahim Karamoko: 212 passningar, xT 0.23KaramokoGustav Julius Mortensen: 188 passningar, xT 0.48MortensenRayan Touzghar: 150 passningar, xT -0.14TouzgharAdnane Abid: 149 passningar, xT 1.05AbidCasper Nielsen: 139 passningar, xT 1.52NielsenMarlon Fossey: 134 passningar, xT 0.64FosseyMatthieu Epolo: 109 passningar, xT 0.17EpoloHenry Lawrence: 54 passningar, xT 0.05LawrenceBernard Nguene: 43 passningar, xT 0.1Nguene
    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.

    Gent
    Siebe Van der Heyden: 329 passningar, xT 0.59HeydenChristian Burgess: 269 passningar, xT 0.26BurgessMouhamed El Bachir Ngom: 239 passningar, xT 0.65NgomTiago Araujo: 229 passningar, xT 1.07AraujoMathias Delorge: 165 passningar, xT 0.3DelorgeDavy Roef: 153 passningar, xT 0.05RoefLeonardo Lopes: 128 passningar, xT 0.07LopesTibe De Vlieger: 102 passningar, xT 0.04VliegerMomodou Lamin Sonko: 90 passningar, xT 0.33SonkoMatties Volckaert: 66 passningar, xT 0.43VolckaertAime Omgba: 62 passningar, xT -0.04Omgba
    Standard Liège
    Alexis Trouillet: 239 passningar, xT 0.24TrouilletIbe Hautekiet: 216 passningar, xT 0.09HautekietIbrahim Karamoko: 212 passningar, xT 0.23KaramokoGustav Julius Mortensen: 188 passningar, xT 0.48MortensenRayan Touzghar: 150 passningar, xT -0.14TouzgharAdnane Abid: 149 passningar, xT 1.05AbidCasper Nielsen: 139 passningar, xT 1.52NielsenMarlon Fossey: 134 passningar, xT 0.64FosseyMatthieu Epolo: 109 passningar, xT 0.17EpoloHenry Lawrence: 54 passningar, xT 0.05LawrenceBernard Nguene: 43 passningar, xT 0.1Nguene

    The teams in numbers

    PerformanceGentStandard Liège
    Points1511
    xPoints10.37.4
    xG per match1.31.8
    xGA per match0.591.6
    xG within 8s of winning the ball0.20.34
    xGA within 8s of losing the ball0.10.51
    Playing styleGentStandard Liège
    Build-up efficiency0.30.3
    Field tilt0.440.53
    xT per match0.91.1
    xTA per match0.841.2
    Won balls, offensive half2628
    Pressing intensity0.210.24
    Pressing efficiency0.250.33
    Pressing efficiency, offensive half0.190.32
    Entries into the box per match1015
    Entries into the box against916
    Pass completion %0.80.72
    Pass completion % under pressure0.730.68
    Passes per match413356
    Passes against per match452329
    Switches of play per match45.223.3
    Long balls per match5035
    Set piecesGentStandard Liège
    xG from free kicks0.010.06
    Corners per match3.46
    Corners against per match4.25.4
    xG per corner0.030.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.290.43
    First touch, defensive corners %0.810.48
    OtherGentStandard Liège
    Throw-in control0.650.65
    The goalkeepersDavy Roef (Gent)Matthieu Epolo (Standard Liège)
    Saves1011
    Save %83%65%
    xG prevented65%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Gent vs Standard Liège according to our model?

    The model gives Gent a 49% win probability. Full 1X2 picture: Gent 49%, draw 29%, Standard Liège 21%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% 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 53% 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.