Belgian Pro LeagueAFAS-stadion Achter de Kazerne, Mechelen12°15 km/h

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    MechelenMechelenCounter-attacks & crosses
    vs
    Sint-TruidenSint-TruidenPossession & high press
    The model's lean: 2 · Sint-Truiden (42%)Best value by the model: Under 2,5 @ 2.22 (+5 %)

    Mechelen vs Sint-Truiden · Belgian Pro League

    1 · Mechelen 30%X 28%42% Sint-Truiden · 2

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    Analysis: Mechelen – Sint-Truiden

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

    TEXT: Since 2023, the matchup between Mechelen and Sint-Truiden has been lopsided, with the visitors winning five of six encounters. This dominance paints a clear picture of the trend between these two teams. While the average of 3.0 goals per meeting suggests historically open games, the specific form and expected goals hint at a more nuanced affair this time around. The rain forecast might dampen the goal tally, but it's already considered in the model's suggestions.

    Mechelen's current form is teetering, with only three points from their recent matches, while Sint-Truiden sits more comfortably with eight points. The expected goals (xG) data further skews in favor of the visitors, showing a notable 2.0 xG per match compared to the hosts' 1.2. While Mechelen's defensive stats slightly edge out Sint-Truiden's, it's unlikely to overturn the trend given the visitors' superior attacking play.

    The blended playing styles of Mechelen's counter-attacks and crosses with Sint-Truiden's possession focus and high press could result in a fairly contested midfield battle. However, Sint-Truiden seems better equipped to exploit the conditions, particularly if they maintain their strategic high press despite the forecast rain. This approach has paid dividends against Mechelen before, and there's little to suggest a major shift here.

    Despite the model's tilt towards an away win, the most probable scoreline is a 1-1 draw at 12%. Yet, with Sint-Truiden's form and head-to-head superiority, a 1-2 away victory is a plausible outcome. The over/under 2.5 goals line leans slightly over, but given the expected weather and historical goal patterns, caution is advised.

    MechelenMechelen
    Form LDLLD
    League ranking xG #12xGA #9xT #14xP/match #13Points #17
    Key players
    • Myron van BrederodeFxG 0.25 · xT 0.07
    • Malcolm Bendele Lohunanu-MbasiFxG 0.29 · xT 0.04
    • Keano VanrafelghemFxG 0.24 · xT 0.05
    Sint-TruidenSint-Truiden
    Form WLWLL
    League ranking xG #3xGA #13xT #2xP/match #12Points #11
    Key players
    • Samed BaždarFxG 0.59 · xT 0.12
    • Ilias SebaouiLWxG 0.48 · xT 0.30
    • Robert-Jan VanwesemaelRWBxG 0.13 · xT 0.27

    Match prediction: Mechelen – Sint-Truiden

    Predicted score matrix

    Sint-Truiden →
    Mechelen →
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–18.9%
    0–26.9%
    0–33.5%
    0–4+1.8%
    1
    1–07.6%
    1–112.2%
    1–28.9%
    1–34.5%
    1–4+2.3%
    2
    2–05.1%
    2–17.6%
    2–25.7%
    2–32.9%
    2–4+1.5%
    3
    3–02.2%
    3–13.3%
    3–22.5%
    3–31.2%
    3–4+0.6%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.1%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-08%
    Expected goals
    1,29–1,50
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.22EV+2%
    Over 2,553%
    @1.67

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Sint-Truiden or draw (X2)68%
    • Over 1.5 goals77%

    Combined probability

    52%

    Fair odds

    1.91

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

    02 · 3 legs

    Balanced

    • Double chance Sint-Truiden or draw (X2)68%
    • Over 2.5 goals53%
    • Samed Baždar to score25%

    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 score57%
    • Over 2.5 goals53%
    • Samed Baždar to score25%
    • Abdoulaye Sissako 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+).

    • Under 2.547% probability@2.22PinnacleEV+5%reference odds
    • 1 · Mechelen30% probability@3.39PinnacleEV+3%reference odds
    • Under 2.547% probability@2.17BetsafeEV+2%reference odds
    Bookmaker1 · MechelenX2 · Sint-Truiden
    Betsafe3.153.602.10
    Nordicbet3.153.602.10
    Pinnacle
    EV+ 3%
    3.39
    3.442.14

    Odds updated 4 Oct, 17:36

    Statistics

    Head-to-head

    6 matches
    Mechelen 0Draw 1Sint-Truiden 5
    Goals: 4–14 (⌀ 3)

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

    Key facts

    • Sint-Truidense VV dominate this fixture historically: 5 wins to 0 in 6 meetings.
    • A high-scoring fixture: 3.0 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Mechelen
    Sint-Truiden
    When goals are scored and conceded — 2026
    Mechelen (5–14)
    Sint-Truiden (12–12)
    Pass networks

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

    Mechelen
    Luc Marijnissen: 228 passningar, xT 0.31MarijnissenMike Eerdhuijzen: 221 passningar, xT 0.57EerdhuijzenJosé Martínez Marsà: 203 passningar, xT 0.36MarsàMyron van Brederode: 174 passningar, xT 0.25BrederodeTherence Koudou: 173 passningar, xT 0.52KoudouDennis Pierre Jacques Albert Praet: 143 passningar, xT 0.09PraetIgnacio Mirás Blanco: 122 passningar, xT 0.19BlancoFredrik Carl Michael Hammar: 99 passningar, xT 0.05HammarCedric Van Meirvenne: 66 passningar, xT 0.91MeirvenneSimion Boubacar Michez: 44 passningar, xT 0.18MichezMassimo Stephane Decoene: 42 passningar, xT 0.04Decoene
    Sint-Truiden
    Visar Musliu: 347 passningar, xT 0.47MusliuRobert-Jan Vanwesemael: 240 passningar, xT 0.62VanwesemaelAbdoulaye Sissako: 222 passningar, xT 0.29SissakoRyan Merlen: 185 passningar, xT 0.93MerlenLeo Brian Kokubo: 165 passningar, xT 0.11KokuboTaiga Hata: 164 passningar, xT 0.84HataWolke Janssens: 164 passningar, xT 0.18JanssensIlias Sebaoui: 146 passningar, xT 1.44SebaouiRyotaro Araki: 137 passningar, xT 0.28ArakiShogo Taniguchi: 106 passningar, xT 0.13TaniguchiJoedrick Pupe: 83 passningar, xT 0.18Pupe
    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.

    Mechelen
    Luc Marijnissen: 228 passningar, xT 0.31MarijnissenMike Eerdhuijzen: 221 passningar, xT 0.57EerdhuijzenJosé Martínez Marsà: 203 passningar, xT 0.36MarsàMyron van Brederode: 174 passningar, xT 0.25BrederodeTherence Koudou: 173 passningar, xT 0.52KoudouDennis Pierre Jacques Albert Praet: 143 passningar, xT 0.09PraetIgnacio Mirás Blanco: 122 passningar, xT 0.19BlancoFredrik Carl Michael Hammar: 99 passningar, xT 0.05HammarCedric Van Meirvenne: 66 passningar, xT 0.91MeirvenneSimion Boubacar Michez: 44 passningar, xT 0.18MichezMassimo Stephane Decoene: 42 passningar, xT 0.04Decoene
    Sint-Truiden
    Visar Musliu: 347 passningar, xT 0.47MusliuRobert-Jan Vanwesemael: 240 passningar, xT 0.62VanwesemaelAbdoulaye Sissako: 222 passningar, xT 0.29SissakoRyan Merlen: 185 passningar, xT 0.93MerlenLeo Brian Kokubo: 165 passningar, xT 0.11KokuboTaiga Hata: 164 passningar, xT 0.84HataWolke Janssens: 164 passningar, xT 0.18JanssensIlias Sebaoui: 146 passningar, xT 1.44SebaouiRyotaro Araki: 137 passningar, xT 0.28ArakiShogo Taniguchi: 106 passningar, xT 0.13TaniguchiJoedrick Pupe: 83 passningar, xT 0.18Pupe

    The teams in numbers

    PerformanceMechelenSint-Truiden
    Points38
    xPoints7.88.8
    xG per match1.22
    xGA per match1.61.8
    xG within 8s of winning the ball0.440.32
    xGA within 8s of losing the ball0.360.35
    Playing styleMechelenSint-Truiden
    Build-up efficiency0.30.29
    Field tilt0.580.59
    xT per match0.871.8
    xTA per match1.10.92
    Won balls, offensive half3026
    Pressing intensity0.230.23
    Pressing efficiency0.270.28
    Pressing efficiency, offensive half0.270.23
    Entries into the box per match1518
    Entries into the box against1212
    Pass completion %0.720.79
    Pass completion % under pressure0.660.73
    Passes per match336446
    Passes against per match366340
    Switches of play per match24.439.9
    Long balls per match3645
    Set piecesMechelenSint-Truiden
    xG from free kicks0.070.08
    Corners per match55
    Corners against per match3.74
    xG per corner0.020.04
    xGA per corner against0.030.06
    First touch, offensive corners %0.460.49
    First touch, defensive corners %0.580.68
    OtherMechelenSint-Truiden
    Throw-in control0.690.76
    The goalkeepersIgnacio Mirás Blanco (Mechelen)Leo Brian Kokubo (Sint-Truiden)
    Saves1927
    Save %58%71%
    xG prevented49%43%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Sint-Truiden a 42% win probability. Full 1X2 picture: Mechelen 30%, draw 28%, Sint-Truiden 42%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.