Belgian Pro LeagueStayen, Sint-Truiden18°1,5 mm21 km/h

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    Sint-TruidenSint-TruidenPossession & high press
    vs
    WesterloWesterloCounter-attacks & crosses
    The model's lean: 1 · Sint-Truiden (59%)Best value by the model: Over 3,5 @ 2.13 (+1 %)

    Sint-Truiden vs Westerlo · Belgian Pro League

    1 · Sint-Truiden 59%X 23%18% Westerlo · 2

    Analysis: Sint-TruidenWesterlo

    Sofia Andersson · · The model's read on the match · How the predictions work

    Sint-Truiden's strong record against Westerlo gives them the upper hand in this matchup, despite a narrow edge in season points. They're historically dominant in this fixture, winning five out of the last eight encounters. The model favors the hosts with a 59% likelihood of victory, aligning with their stylistic advantage and expected goals dominance of 2.20 compared to Westerlo's 1.35.

    Looking closer, the expected goals suggest a match tilting towards Sint-Truiden. Their higher xG per match and possession-based strategy should outmaneuver Westerlo's counter-attacking approach. The expected model probabilities align well with recent form, supporting a likely 2-1 or 2-0 scoreline. The head-to-head record, while informative, remains a small sample, so current form and xG metrics weigh more heavily.

    Goals are expected to flow, as indicated by a 69% estimate for over 2.5 goals and a 66% chance for both teams to find the net. This aligns with the average of 3.1 goals per meeting in this fixture. Given the attacking profiles and historical scoring patterns, a high-scoring affair seems probable.

    While the statistics point to a home win, the value proposition remains neutral at 1.7 odds across Betsafe, Betsson, and Nordicbet, despite the model rating it at 59%. There's no clear edge here, but the home side's dominance and superior xG figures offer confidence in backing Sint-Truiden to come out on top.

    Ending on the sharpest betting angle, opting for over 2.5 goals might be the savvier play given the match dynamics. With a 69% likelihood and historical trends, this market offers a compelling narrative backed by both form and fixture history.

    Sint-TruidenSint-Truiden
    Form DWLWL
    League ranking xG #3xGA #12xT #1xP/match #12Points #10
    Key players
    • Samed BaždarFxG 0.71 · xT 0.18
    • Robert-Jan VanwesemaelRWxG 0.15 · xT 0.31
    • Ilias SebaouiLWxG 0.54 · xT 0.22
    WesterloWesterlo
    Form LLDWW
    League ranking xG #10xGA #11xT #8xP/match #11Points #13
    Key players
    • Cameron Mark CongreveRWxG 0.15 · xT 0.26
    • Norman Jaquy Bassette Van AckerFxG 0.50 · xT -0.03
    • Isa SakamotoCMxG 0.12 · xT 0.08

    Match prediction: Sint-TruidenWesterlo

    Predicted score matrix

    Westerlo
    Sint-Truiden
    0
    1
    2
    3
    4+
    0
    0–03.1%
    0–13.6%
    0–22.6%
    0–31.2%
    0–4+0.5%
    1
    1–06.1%
    1–18.8%
    1–25.8%
    1–32.6%
    1–4+1.2%
    2
    2–06.9%
    2–19.4%
    2–26.3%
    2–32.9%
    2–4+1.3%
    3
    3–05.1%
    3–16.9%
    3–24.6%
    3–32.1%
    3–4+1.0%
    4+
    4+–04.6%
    4+–16.3%
    4+–24.3%
    4+–31.9%
    4+–4+0.9%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-19%
    2. 2.1-19%
    3. 3.2-07%
    4. 4.3-17%
    5. 5.2-26%
    Expected goals
    2,201,35
    Both teams to score
    66%

    Over/under goals

    Expected goals: 3,5
    Under 2,531%
    @2.76
    Over 2,569%
    @1.43

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Sint-Truiden to win59%
    • Over 1.5 goals87%

    Combined probability

    50%

    Fair odds

    2.00

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

    02 · 3 legs

    Balanced

    • Sint-Truiden to win59%
    • Over 2.5 goals69%
    • Ryotaro Araki to score26%

    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 goals69%
    • Ryotaro Araki 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+).

    • Over 3.547% probability@2.13PinnacleEV+1%reference odds
    • 1 · Sint-Truiden59% probability@1.70PinnacleEV+0%reference odds
    • 1 · Sint-Truiden59% probability@1.70BetsafeEV+0%reference odds
    Bookmaker1 · Sint-TruidenX2 · Westerlo
    Betsafe
    EV+ 0%
    1.70
    4.004.40
    Betsson
    EV+ 0%
    1.70
    4.004.40
    Nordicbet
    EV+ 0%
    1.70
    4.004.40
    Pinnacle
    EV+ 0%
    1.70
    3.924.87

    Odds updated 19 Sept, 14:37

    Odds movement

    1+3 %
    59 %54 %

    1.651.70

    X-1 %
    27 %22 %

    3.973.92

    2-2 %
    22 %17 %

    4.954.87

    Pinnacle · 10 recorded price levels · 14/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Sint-Truiden 5Draw 2Westerlo 1
    Goals: 169 (⌀ 3,1)

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

    Key facts

    • Sint-Truidense VV dominate this fixture historically: 5 wins to 1 in 8 meetings.
    • A high-scoring fixture: 3.1 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Sint-Truiden
    Westerlo
    When goals are scored and conceded 2026
    Sint-Truiden (1210)
    Westerlo (1316)
    Pass networks

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

    Sint-Truiden
    Visar Musliu: 320 passningar, xT 0.47MusliuAbdoulaye Sissako: 226 passningar, xT 0.26SissakoRobert-Jan Vanwesemael: 222 passningar, xT 1.11VanwesemaelRyan Merlen: 169 passningar, xT 1.02MerlenLeo Brian Kokubo: 168 passningar, xT 0.18KokuboWolke Janssens: 164 passningar, xT 0.18JanssensTaiga Hata: 160 passningar, xT 0.7HataIlias Sebaoui: 138 passningar, xT 0.87SebaouiRyotaro Araki: 120 passningar, xT 0.18ArakiJoedrick Pupe: 110 passningar, xT 0.26PupeShogo Taniguchi: 65 passningar, xT 0.09Taniguchi
    Westerlo
    Amando Lapage: 252 passningar, xT 0.33LapageSeiji Kimura: 246 passningar, xT 0.52KimuraIbrahim Cheick Junior Fofana: 200 passningar, xT 0.49FofanaDrahgo Gnatoa Dylan Ourega: 171 passningar, xT 0.63OuregaCisse Sandra: 154 passningar, xT 0.16SandraLasse Flø Borregaard: 124 passningar, xT 0.43BorregaardAndreas Jungdal: 114 passningar, xT 0.1JungdalIsa Sakamoto: 94 passningar, xT 0.2SakamotoShunsuke Saito: 92 passningar, xT 1.02SaitoCameron Mark Congreve: 89 passningar, xT 1.19CongreveLucas Mbamba-Muanda: 81 passningar, xT 0.07Mbamba-Muanda
    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.

    Sint-Truiden
    Visar Musliu: 320 passningar, xT 0.47MusliuAbdoulaye Sissako: 226 passningar, xT 0.26SissakoRobert-Jan Vanwesemael: 222 passningar, xT 1.11VanwesemaelRyan Merlen: 169 passningar, xT 1.02MerlenLeo Brian Kokubo: 168 passningar, xT 0.18KokuboWolke Janssens: 164 passningar, xT 0.18JanssensTaiga Hata: 160 passningar, xT 0.7HataIlias Sebaoui: 138 passningar, xT 0.87SebaouiRyotaro Araki: 120 passningar, xT 0.18ArakiJoedrick Pupe: 110 passningar, xT 0.26PupeShogo Taniguchi: 65 passningar, xT 0.09Taniguchi
    Westerlo
    Amando Lapage: 252 passningar, xT 0.33LapageSeiji Kimura: 246 passningar, xT 0.52KimuraIbrahim Cheick Junior Fofana: 200 passningar, xT 0.49FofanaDrahgo Gnatoa Dylan Ourega: 171 passningar, xT 0.63OuregaCisse Sandra: 154 passningar, xT 0.16SandraLasse Flø Borregaard: 124 passningar, xT 0.43BorregaardAndreas Jungdal: 114 passningar, xT 0.1JungdalIsa Sakamoto: 94 passningar, xT 0.2SakamotoShunsuke Saito: 92 passningar, xT 1.02SaitoCameron Mark Congreve: 89 passningar, xT 1.19CongreveLucas Mbamba-Muanda: 81 passningar, xT 0.07Mbamba-Muanda

    The teams in numbers

    PerformanceSint-TruidenWesterlo
    Points87
    xPoints7.78
    xG per match21.4
    xGA per match1.81.7
    xG within 8s of winning the ball0.320.37
    xGA within 8s of losing the ball0.290.23
    Playing styleSint-TruidenWesterlo
    Build-up efficiency0.290.31
    Field tilt0.590.49
    xT per match1.81.1
    xTA per match0.891.2
    Won balls, offensive half2521
    Pressing intensity0.220.25
    Pressing efficiency0.280.32
    Pressing efficiency, offensive half0.230.25
    Entries into the box per match1812
    Entries into the box against1215
    Pass completion %0.80.78
    Pass completion % under pressure0.740.74
    Passes per match454386
    Passes against per match332371
    Switches of play per match40.323.7
    Long balls per match4827
    Set piecesSint-TruidenWesterlo
    xG from free kicks0.080.06
    Corners per match4.83.7
    Corners against per match4.26.4
    xG per corner0.040.04
    xGA per corner against0.060.03
    First touch, offensive corners %0.480.41
    First touch, defensive corners %0.720.53
    OtherSint-TruidenWesterlo
    Throw-in control0.780.64
    The goalkeepersLeo Brian Kokubo (Sint-Truiden)Andreas Jungdal (Westerlo)
    Saves2119
    Save %70%54%
    xG prevented39%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sint-Truiden vs Westerlo according to our model?

    The model gives Sint-Truiden a 59% win probability. Full 1X2 picture: Sint-Truiden 59%, draw 23%, Westerlo 18%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 69% and under at 31%.

    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.