Belgian Pro LeagueHet Kuipje, Westerlo17°11 km/h

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    WesterloWesterloPossession control
    vs
    Standard LiègeStandard LiègePossession control
    The model's lean: 1 · Westerlo (41%)Best value by the model: Under 0,5 @ 17.00 (+23 %)

    WesterloStandard Liège · Belgian Pro League

    1 · Westerlo 41%X 27%31% Standard Liège · 2

    Analysis: WesterloStandard Liège

    Anna Karlsson · · A data-driven preview · How the predictions work

    A curious tension defines the meeting between Westerlo and Standard Liège: both teams favor possession control, yet the visitors arrive riding the momentum of three straight victories. The statistics suggest a finely balanced encounter, with Westerlo enjoying a slight edge in the model's probabilities at 41% versus Standard's 31%. However, this narrow margin belies the recent form where the visitors have clearly excelled.

    Despite the hosts' possession-oriented approach, Westerlo's defensive vulnerabilities are evident. Their expected goals against (xGA) stand at 1.9 per match, significantly higher than Standard's 1.6. This defensive frailty might just tip the scales in favor of Standard's more efficient attack, which boasts an xG of 1.8 compared to Westerlo's 1.5. It's a classic scenario of home advantage against visiting form, and the numbers lean slightly towards Westerlo holding their ground.

    The head-to-head record since 2023 shows Westerlo with 3 wins, 3 draws, and 2 losses across eight matches, but with such a small sample, it's less predictive of future outcomes than the current form and expected goals data. The model's most likely scoreline is 1-1, with a probability of 13%, suggesting a closely contested affair. The slight edge in xPoints and points for Standard indicates they might have the upper hand if they can maintain their recent streak.

    For bettors seeking value, the standout angle is the under 0.5 goals market at odds of 17.0 with Betsafe, Betsson, and Nordicbet, where the model finds a substantial edge. While the probability of a scoreless draw remains low at 7%, the potential reward makes it an intriguing option for those willing to take a calculated risk.

    WesterloWesterlo
    Form LLLDW
    League ranking xG #10xGA #14xT #9xP/match #13Points #13
    Key players
    • Cameron Mark CongreveRWxG 0.19 · xT 0.27
    • Ibrahim Cheick Junior FofanaCMxG 0.04 · xT 0.07
    • Isa SakamotoCAMxG 0.11 · xT 0.08
    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: WesterloStandard Liège

    Predicted score matrix

    Standard Liège
    Westerlo
    0
    1
    2
    3
    4+
    0
    0–07.2%
    0–18.1%
    0–25.2%
    0–32.1%
    0–4+0.9%
    1
    1–09.6%
    1–112.6%
    1–27.5%
    1–33.1%
    1–4+1.2%
    2
    2–07.2%
    2–18.8%
    2–25.5%
    2–32.2%
    2–4+0.9%
    3
    3–03.5%
    3–14.3%
    3–22.6%
    3–31.1%
    3–4+0.4%
    4+
    4+–01.7%
    4+–12.1%
    4+–21.3%
    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. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,451,23
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.32EV+16%
    Over 2,550%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Westerlo or draw (1X)68%
    • Under 3.5 goals72%

    Combined probability

    49%

    Fair odds

    2.05

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

    02 · 3 legs

    Balanced

    • Double chance Westerlo or draw (1X)68%
    • Over 2.5 goals50%
    • Norman Jaquy Bassette Van Acker to score21%

    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 score55%
    • Over 2.5 goals50%
    • Dennis Yerai Eckert Ayensa to score26%
    • Ibrahim Cheick Junior Fofana to be booked25%

    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+).

    • Under 0.57% probability@17.00BetsafeEV+23%reference odds
    • Under 0.57% probability@17.00BetssonEV+23%reference odds
    • Under 0.57% probability@17.00NordicbetEV+23%reference odds
    Bookmaker1 · WesterloX2 · Standard Liège
    Betsafe
    EV+ 3%
    2.48
    3.552.58
    Betsson
    EV+ 3%
    2.48
    3.552.58
    Nordicbet
    EV+ 3%
    2.48
    3.552.58
    Pinnacle
    EV+ 2%
    2.45
    EV+ 1%
    3.68
    2.67

    Odds updated 11 Sept, 16:38

    Odds movement

    1+3 %
    41 %36 %

    2.382.45

    X0 %
    28 %23 %

    3.693.68

    2-3 %
    38 %33 %

    2.762.67

    Pinnacle · 13 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Westerlo 3Draw 3Standard Liège 2
    Goals: 109 (⌀ 2,4)

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

    Key facts

    • 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).

    Westerlo
    Standard Liège
    When goals are scored and conceded 2026
    Westerlo (914)
    Standard Liège (106)
    Pass networks

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

    Westerlo
    Seiji Kimura: 279 passningar, xT 0.49KimuraAmando Lapage: 240 passningar, xT 0.32LapageIbrahim Cheick Junior Fofana: 201 passningar, xT 0.28FofanaCisse Sandra: 166 passningar, xT 0.15SandraDrahgo Gnatoa Dylan Ourega: 146 passningar, xT 0.61OuregaLasse Flø Borregaard: 127 passningar, xT 0.29BorregaardShunsuke Saito: 117 passningar, xT 0.85SaitoAndreas Jungdal: 114 passningar, xT 0.09JungdalIsa Sakamoto: 108 passningar, xT 0.23SakamotoLucas Mbamba-Muanda: 90 passningar, xT 0.09Mbamba-MuandaReda Laalaoui: 82 passningar, xT 0.15Laalaoui
    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.

    Westerlo
    Seiji Kimura: 279 passningar, xT 0.49KimuraAmando Lapage: 240 passningar, xT 0.32LapageIbrahim Cheick Junior Fofana: 201 passningar, xT 0.28FofanaCisse Sandra: 166 passningar, xT 0.15SandraDrahgo Gnatoa Dylan Ourega: 146 passningar, xT 0.61OuregaLasse Flø Borregaard: 127 passningar, xT 0.29BorregaardShunsuke Saito: 117 passningar, xT 0.85SaitoAndreas Jungdal: 114 passningar, xT 0.09JungdalIsa Sakamoto: 108 passningar, xT 0.23SakamotoLucas Mbamba-Muanda: 90 passningar, xT 0.09Mbamba-MuandaReda Laalaoui: 82 passningar, xT 0.15Laalaoui
    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

    PerformanceWesterloStandard Liège
    Points411
    xPoints6.37.4
    xG per match1.51.8
    xGA per match1.91.6
    xG within 8s of winning the ball0.30.34
    xGA within 8s of losing the ball0.170.51
    Playing styleWesterloStandard Liège
    Build-up efficiency0.310.3
    Field tilt0.530.53
    xT per match1.11.1
    xTA per match1.21.2
    Won balls, offensive half2028
    Pressing intensity0.250.24
    Pressing efficiency0.320.33
    Pressing efficiency, offensive half0.240.32
    Entries into the box per match1215
    Entries into the box against1416
    Pass completion %0.780.72
    Pass completion % under pressure0.740.68
    Passes per match393356
    Passes against per match351329
    Switches of play per match24.323.3
    Long balls per match2735
    Set piecesWesterloStandard Liège
    xG from free kicks0.070.06
    Corners per match4.26
    Corners against per match6.35.4
    xG per corner0.030.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.380.43
    First touch, defensive corners %0.480.48
    OtherWesterloStandard Liège
    Throw-in control0.640.65
    The goalkeepersAndreas Jungdal (Westerlo)Matthieu Epolo (Standard Liège)
    Saves1511
    Save %52%65%
    xG prevented30%37%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Westerlo vs Standard Liège according to our model?

    The model gives Westerlo a 41% win probability. Full 1X2 picture: Westerlo 41%, draw 27%, Standard Liège 31%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.