Belgian Pro LeagueFreethiel Stadion, Beveren18°16 km/h

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    BeverenBeverenBalanced & physical
    vs
    Sint-TruidenSint-TruidenCounter-attacks & crosses
    The model's lean: 1 · Beveren (46%)

    BeverenSint-Truiden · Belgian Pro League

    1 · Beveren 46%X 22%32% Sint-Truiden · 2

    Analysis: BeverenSint-Truiden

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

    Beveren's physical approach and balanced gameplay might just tilt the scales in their favor against Sint-Truiden. The model gives the hosts a 46% chance of victory, and with odds of 3.0 on offer from Betsafe, Betsson, and Nordicbet, there's a 37% edge in backing them. This makes Beveren a tantalizing prospect for value seekers.

    Despite having fewer points and expected points compared to the visitors, Beveren's expected goals (xG) tell a story of missed opportunities. Their xG stands at 1.58, slightly higher than Sint-Truiden's 1.27 for this encounter, suggesting that Beveren can carve out more quality chances. However, the hosts' xGA (expected goals against) is a concern, standing at a high 2.2 per match. This vulnerability could give the visitors, who thrive on counter-attacks and crossing, the openings they need.

    Sint-Truiden have shown a knack for maximizing their potential on the break, reflected in their higher xG per match of 2.2 over the season, although they have not translated this into as many points as expected. Their ability to exploit gaps with crosses could expose Beveren's defensive frailties if the hosts over-commit. Yet, the visitors' defensive record is not impregnable, conceding an xGA of 1.8 per match, which Beveren can exploit.

    The model's most likely scorelines are tightly contested, with 1-1 leading at 12%, closely followed by 2-1 and 1-0 at 9% each. The slight edge to Beveren, combined with an over 2.5 goal probability of 54%, hints at a possible 2-1 victory for the hosts. Both teams are likely to find the net, given a 58% probability for both teams to score.

    In a match poised on a knife-edge, the sharpest angle lies in the value provided by backing Beveren at home. The 3.0 odds from multiple bookmakers represent a significant positive expected value, suggesting that the hosts might just hold the winning hand.

    BeverenBeveren
    Form LWLLW
    League ranking xG #14xGA #17xT #10xP/match #16Points #12
    Key players
    • Jearl MargarithaFxG 0.38 · xT 0.26
    • Chris-Emmanuel Dikwama LokesaLWxG 0.32 · xT 0.12
    • Christian BrülsCAMxG 0.10 · xT 0.23
    Sint-TruidenSint-Truiden
    Form DDWLW
    League ranking xG #2xGA #13xT #2xP/match #9Points #8
    Key players
    • Samed BaždarFxG 1.01 · xT 0.29
    • Ilias SebaouiLWxG 0.61 · xT 0.22
    • Robert-Jan VanwesemaelRWxG 0.18 · xT 0.32

    Match prediction: BeverenSint-Truiden

    Predicted score matrix

    Sint-Truiden
    Beveren
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–17.0%
    0–24.7%
    0–32.0%
    0–4+0.8%
    1
    1–08.8%
    1–111.9%
    1–27.4%
    1–33.1%
    1–4+1.3%
    2
    2–07.2%
    2–19.2%
    2–25.8%
    2–32.5%
    2–4+1.0%
    3
    3–03.8%
    3–14.8%
    3–23.1%
    3–31.3%
    3–4+0.5%
    4+
    4+–02.1%
    4+–12.7%
    4+–21.7%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,581,27
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,546%
    @2.36EV+8%
    Over 2,554%
    @1.56

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Beveren to win46%
    • Over 1.5 goals78%

    Combined probability

    35%

    Fair odds

    2.82

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

    02 · 3 legs

    Balanced

    • Beveren to win46%
    • Over 2.5 goals54%
    • Ferre Slegers 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 score58%
    • Over 2.5 goals54%
    • Ferre Slegers to score21%
    • Loïc Junior Mbe Soh to be booked21%

    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+).

    • 1 · Beveren46% probability@3.21PinnacleEV+46%reference odds
    • 1 · Beveren46% probability@3.05BetsafeEV+39%reference odds
    • 1 · Beveren46% probability@3.05BetssonEV+39%reference odds
    Bookmaker1 · BeverenX2 · Sint-Truiden
    Betsafe
    EV+ 39%
    3.05
    3.602.15
    Betsson
    EV+ 39%
    3.05
    3.602.15
    Nordicbet
    EV+ 39%
    3.05
    3.602.15
    Pinnacle
    EV+ 46%
    3.21
    3.442.27

    Odds updated 11 Sept, 16:38

    Odds movement

    1+1 %
    32 %27 %

    3.173.21

    X-1 %
    30 %25 %

    3.473.44

    2+2 %
    45 %40 %

    2.222.27

    Pinnacle · 8 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Beveren
    Sint-Truiden
    When goals are scored and conceded 2026
    Beveren (510)
    Sint-Truiden (128)
    Pass networks

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

    Beveren
    Yoni Gomis: 255 passningar, xT 0.22GomisChristophe Arnold Janssens: 247 passningar, xT 0.99JanssensChristian Brüls: 236 passningar, xT 0.76BrülsBruno Godeau: 236 passningar, xT 0.15GodeauLaurent Jans: 219 passningar, xT 0.81JansSieben Dewaele: 161 passningar, xT 0.18DewaeleJohannes Schenk: 137 passningar, xT 0.2SchenkChris-Emmanuel Dikwama Lokesa: 117 passningar, xT 0.5LokesaCheick Oumar Conde: 93 passningar, xT 0.04CondeFerre Slegers: 85 passningar, xT 0.32SlegersKurt Abrahams: 60 passningar, xT -0.04Abrahams
    Sint-Truiden
    Visar Musliu: 348 passningar, xT 0.44MusliuAbdoulaye Sissako: 240 passningar, xT 0.3SissakoRobert-Jan Vanwesemael: 214 passningar, xT 1.31VanwesemaelLeo Brian Kokubo: 179 passningar, xT 0.17KokuboTaiga Hata: 164 passningar, xT 1.43HataJoedrick Pupe: 163 passningar, xT 0.48PupeRyan Merlen: 144 passningar, xT 1.01MerlenIlias Sebaoui: 143 passningar, xT 0.79SebaouiLoïc Junior Mbe Soh: 140 passningar, xT 0.25SohNelson Ishiwatari: 106 passningar, xT -0.02IshiwatariWolke Janssens: 104 passningar, xT 0.06Janssens
    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.

    Beveren
    Yoni Gomis: 255 passningar, xT 0.22GomisChristophe Arnold Janssens: 247 passningar, xT 0.99JanssensChristian Brüls: 236 passningar, xT 0.76BrülsBruno Godeau: 236 passningar, xT 0.15GodeauLaurent Jans: 219 passningar, xT 0.81JansSieben Dewaele: 161 passningar, xT 0.18DewaeleJohannes Schenk: 137 passningar, xT 0.2SchenkChris-Emmanuel Dikwama Lokesa: 117 passningar, xT 0.5LokesaCheick Oumar Conde: 93 passningar, xT 0.04CondeFerre Slegers: 85 passningar, xT 0.32SlegersKurt Abrahams: 60 passningar, xT -0.04Abrahams
    Sint-Truiden
    Visar Musliu: 348 passningar, xT 0.44MusliuAbdoulaye Sissako: 240 passningar, xT 0.3SissakoRobert-Jan Vanwesemael: 214 passningar, xT 1.31VanwesemaelLeo Brian Kokubo: 179 passningar, xT 0.17KokuboTaiga Hata: 164 passningar, xT 1.43HataJoedrick Pupe: 163 passningar, xT 0.48PupeRyan Merlen: 144 passningar, xT 1.01MerlenIlias Sebaoui: 143 passningar, xT 0.79SebaouiLoïc Junior Mbe Soh: 140 passningar, xT 0.25SohNelson Ishiwatari: 106 passningar, xT -0.02IshiwatariWolke Janssens: 104 passningar, xT 0.06Janssens

    The teams in numbers

    PerformanceBeverenSint-Truiden
    Points68
    xPoints4.77.2
    xG per match1.22.2
    xGA per match2.21.8
    xG within 8s of winning the ball0.210.33
    xGA within 8s of losing the ball0.50.27
    Playing styleBeverenSint-Truiden
    Build-up efficiency0.310.29
    Field tilt0.440.57
    xT per match1.11.8
    xTA per match1.40.96
    Won balls, offensive half2525
    Pressing intensity0.250.22
    Pressing efficiency0.260.28
    Pressing efficiency, offensive half0.190.23
    Entries into the box per match1417
    Entries into the box against1712
    Pass completion %0.770.8
    Pass completion % under pressure0.70.75
    Passes per match411446
    Passes against per match412335
    Switches of play per match29.837.1
    Long balls per match4045
    Set piecesBeverenSint-Truiden
    xG from free kicks0.010.07
    Corners per match5.35
    Corners against per match5.34.8
    xG per corner0.030.05
    xGA per corner against0.030.06
    First touch, offensive corners %0.50.52
    First touch, defensive corners %0.320.71
    OtherBeverenSint-Truiden
    Throw-in control0.790.74
    The goalkeepersJohannes Schenk (Beveren)Leo Brian Kokubo (Sint-Truiden)
    Saves2318
    Save %70%72%
    xG prevented43%43%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Beveren a 46% win probability. Full 1X2 picture: Beveren 46%, draw 22%, Sint-Truiden 32%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.