Belgian Pro LeagueStayen, Sint-Truiden7°0,4 mm9 km/h

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    Sint-TruidenSint-TruidenPossession & high press
    vs
    OH LeuvenOH LeuvenPossession control
    The model's lean: 1 · Sint-Truiden (66%)

    Sint-Truiden vs OH Leuven · Belgian Pro League

    1 · Sint-Truiden 66%X 21%13% OH Leuven · 2

    Prediction summary

    BetBuilders AI model prediction for Sint-Truiden vs OH Leuven (Belgian Pro League, Sunday, 1 November 2026): Sint-Truiden win 66%, draw 21%, OH Leuven win 13%. Expected goals (xG): Sint-Truiden 2.18, OH Leuven 0.94. Most likely score: 2-0 (11%). Over 2.5 goals 60%, both teams to score 54%. Double chance: Sint-Truiden or draw 87%, OH Leuven or draw 34%. Prediction updated Friday, 23 October 2026.

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    Analysis: Sint-Truiden – OH Leuven

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

    66% for Sint-Truiden is the number that matters, even with four straight losses hanging over the hosts. The model still has OH Leuven at just 13%, backed by a 2.18–0.94 expected-goals split. The hosts edge points 8–6, xPoints 11.2–9.8, xG per match 1.9–1.4 and xGA 1.8–2.0. Possession and a high press should force the visitors into a defensive night.

    The head-to-head is separate from that season profile: since 2023, eight meetings have produced 3W, 2D and 3L for the home side. That is balanced, not a reason to oppose the broader numbers. Leuven’s possession control may keep the ball at times, but control without territory is a thin comfort.

    I make it 2-0, jointly the model’s most likely scoreline at 10% alongside 2-1; 1-0 sits at 9%. Over 2.5 has a 60% lean, despite the cleaner 2-0 call, while both teams scoring is only 54%. The stable play is the home win: Sint-Truiden at 1.62 with Betsafe or Nordicbet is assessed EV+, with the model’s 66% rating giving a 7% edge.

    Sint-TruidenSint-Truiden
    Form WLLLL
    League ranking xG #5xGA #11xT #1xP/match #11Points #13
    Key players
    • Visar MusliuCBxG 0.02 · xT 0.10
    • Abdoulaye SissakoCMxG 0.06 · xT 0.10
    • Ilias SebaouiLWxG 0.51 · xT 0.25
    OH LeuvenOH Leuven
    Form LDWDD
    League ranking xG #10xGA #17xT #6xP/match #15Points #16
    Key players
    • Siebe SchrijversCAMxG 0.16 · xT 0.16
    • Wouter GeorgeRWxG 0.09 · xT 0.29
    • Jamie LawrenceCBxG 0.09 · xT 0.09

    Match prediction: Sint-Truiden – OH Leuven

    Predicted score matrix

    OH Leuven →
    Sint-Truiden →
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–13.9%
    0–21.9%
    0–30.6%
    0–4+0.2%
    1
    1–09.4%
    1–19.3%
    1–24.2%
    1–31.3%
    1–4+0.4%
    2
    2–010.5%
    2–19.9%
    2–24.6%
    2–31.5%
    2–4+0.4%
    3
    3–07.6%
    3–17.2%
    3–23.4%
    3–31.1%
    3–4+0.3%
    4+
    4+–06.9%
    4+–16.5%
    4+–23.1%
    4+–31.0%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.1-19%
    5. 5.3-08%
    Expected goals
    2,18–0,94
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.36
    Over 2,560%
    @1.56

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Sint-Truiden to win66%
    • Over 1.5 goals82%

    Combined probability

    56%

    Fair odds

    1.79

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

    02 · 3 legs

    Balanced

    • Sint-Truiden to win66%
    • Over 2.5 goals60%
    • Ryotaro Araki 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 score54%
    • Over 2.5 goals60%
    • Ryotaro Araki to score35%
    • Birger Danny Verstraete to be booked24%

    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 · Sint-Truiden66% probability@1.62BetsafeEV+7%reference odds
    • 1 · Sint-Truiden66% probability@1.62NordicbetEV+7%reference odds
    • 1 · Sint-Truiden66% probability@1.60PinnacleEV+6%reference odds
    Bookmaker1 · Sint-TruidenX2 · OH Leuven
    Betsafe
    EV+ 7%
    1.62
    4.104.85
    Nordicbet
    EV+ 7%
    1.62
    4.104.85
    Pinnacle
    EV+ 6%
    1.60
    4.254.99

    Odds updated 27 Oct, 13:36

    Odds movement

    1-1 %
    61 %56 %

    1.62 → 1.60

    X0 %
    25 %20 %

    4.24 → 4.25

    2+9 %
    22 %17 %

    4.59 → 4.99

    Pinnacle · 3 recorded price levels · 25/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Sint-Truiden 3Draw 2OH Leuven 3
    Goals: 9–12 (⌀ 2,6)

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

    Key facts

    • Sint-Truidense VV have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Sint-Truiden
    OH Leuven
    When goals are scored and conceded — 2026
    Sint-Truiden (17–19)
    OH Leuven (8–16)
    Pass networks

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

    Sint-Truiden
    Abdoulaye Sissako: 251 passningar, xT 0.59SissakoRobert-Jan Vanwesemael: 248 passningar, xT 0.8VanwesemaelTaiga Hata: 235 passningar, xT 1.19HataVisar Musliu: 232 passningar, xT 0.31MusliuShogo Taniguchi: 212 passningar, xT 0.32TaniguchiRyan Merlen: 184 passningar, xT 0.79MerlenIlias Sebaoui: 177 passningar, xT 1.37SebaouiLeo Brian Kokubo: 176 passningar, xT 0.09KokuboKota Takai: 128 passningar, xT 0.26TakaiWolke Janssens: 105 passningar, xT 0.15JanssensRyotaro Araki: 102 passningar, xT 0.22Araki
    OH Leuven
    Jamie Lawrence: 194 passningar, xT 0.45LawrenceSiebe Schrijvers: 150 passningar, xT 0.72SchrijversRoggerio Nyakossi: 149 passningar, xT 0.15NyakossiNoë Georges Dussenne: 146 passningar, xT 0.21DussenneWouter George: 123 passningar, xT 0.93GeorgeOscar Gil: 105 passningar, xT 0.36GilEwoud Pletinckx: 103 passningar, xT 0.07PletinckxDani Van Den Heuvel: 95 passningar, xT 0.07HeuvelDavis Opoku: 87 passningar, xT 0.42OpokuBirger Verstraete: 86 passningar, xT 0.13VerstraeteTakuya Ogiwara: 64 passningar, xT 0.29Ogiwara
    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
    Abdoulaye Sissako: 251 passningar, xT 0.59SissakoRobert-Jan Vanwesemael: 248 passningar, xT 0.8VanwesemaelTaiga Hata: 235 passningar, xT 1.19HataVisar Musliu: 232 passningar, xT 0.31MusliuShogo Taniguchi: 212 passningar, xT 0.32TaniguchiRyan Merlen: 184 passningar, xT 0.79MerlenIlias Sebaoui: 177 passningar, xT 1.37SebaouiLeo Brian Kokubo: 176 passningar, xT 0.09KokuboKota Takai: 128 passningar, xT 0.26TakaiWolke Janssens: 105 passningar, xT 0.15JanssensRyotaro Araki: 102 passningar, xT 0.22Araki
    OH Leuven
    Jamie Lawrence: 194 passningar, xT 0.45LawrenceSiebe Schrijvers: 150 passningar, xT 0.72SchrijversRoggerio Nyakossi: 149 passningar, xT 0.15NyakossiNoë Georges Dussenne: 146 passningar, xT 0.21DussenneWouter George: 123 passningar, xT 0.93GeorgeOscar Gil: 105 passningar, xT 0.36GilEwoud Pletinckx: 103 passningar, xT 0.07PletinckxDani Van Den Heuvel: 95 passningar, xT 0.07HeuvelDavis Opoku: 87 passningar, xT 0.42OpokuBirger Verstraete: 86 passningar, xT 0.13VerstraeteTakuya Ogiwara: 64 passningar, xT 0.29Ogiwara

    The teams in numbers

    PerformanceSint-TruidenOH Leuven
    Points86
    xPoints11.29.8
    xG per match1.91.4
    xGA per match1.82
    xG within 8s of winning the ball0.250.27
    xGA within 8s of losing the ball0.40.18
    Playing styleSint-TruidenOH Leuven
    Build-up efficiency0.290.31
    Field tilt0.570.43
    xT per match1.71.3
    xTA per match11.3
    Won balls, offensive half2630
    Pressing intensity0.230.25
    Pressing efficiency0.280.32
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1714
    Entries into the box against1317
    Pass completion %0.790.75
    Pass completion % under pressure0.720.71
    Passes per match450343
    Passes against per match348388
    Switches of play per match36.826.6
    Long balls per match4236
    Set piecesSint-TruidenOH Leuven
    xG from free kicks0.10.03
    Corners per match5.23.8
    Corners against per match3.88
    xG per corner0.040.04
    xGA per corner against0.050.04
    First touch, offensive corners %0.430.74
    First touch, defensive corners %0.680.56
    OtherSint-TruidenOH Leuven
    Throw-in control0.760.7
    The goalkeepersLeo Brian Kokubo (Sint-Truiden)Dani Van Den Heuvel (OH Leuven)
    Saves3123
    Save %66%61%
    xG prevented41%43%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Sint-Truiden spelschemaOH Leuven spelschema

    Frequently asked questions

    Who wins Sint-Truiden vs OH Leuven according to our model?

    The model gives Sint-Truiden a 66% win probability. Full 1X2 picture: Sint-Truiden 66%, draw 21%, OH Leuven 13%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 54% according to the model.

    How many goals are expected in Sint-Truiden vs OH Leuven?

    The model expects 2.18 goals (xG) for Sint-Truiden and 0.94 for OH Leuven, 3.12 in total.

    What does the model say about double chance?

    Sint-Truiden or draw (1X) 87%, OH Leuven or draw (X2) 34% and no draw (12) 79%.

    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.