Belgian Pro LeagueSoevereinstadion, Lommel16°13 km/h

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    LommelLommelLow block & direct
    vs
    WesterloWesterloPossession control
    The model's lean: 1 · Lommel (39%)Soft drawBest value by the model: Over 4,5 @ 5.87 (+26 %)

    LommelWesterlo · Belgian Pro League

    1 · Lommel 39%X 26%35% Westerlo · 2

    Analysis: LommelWesterlo

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

    KVC Westerlo's four consecutive losses cast a long shadow over their trip to Lommel, and the numbers deepen that gloom. The visitors, despite their possession control style, have struggled to translate their dominance into points, let alone goals. Their expected goals against (xGA) of 3.0 per match starkly contrasts with a Lommel side that, while not free-scoring, knows how to exploit defensive frailties. The hosts average only 1.0 xG per match, yet they face a defense that could give even modest offenses more opportunities than they typically create.

    The expected goals model sees this matchup as evenly poised, with both teams projected to net 1.59 goals. This suggests a balanced affair, but the lean tips slightly towards the hosts, who have shown more resilience and efficiency than their visitors. The psychological edge of playing at home could further tilt the scales in their favor.

    While the model predicts close scorelines like 1-1 or 2-1, it flags the over 2.5 goal mark with a 61% likelihood and both teams finding the net at 64%. When you overlay these indicators with the market odds, the more aggressive play emerges — the over 4.5 goals bet. With Betsafe, Betsson, and Nordicbet all offering odds of 5.87, and the model suggesting a 21% probability, there's a 26% edge for those willing to take the risk.

    The contrast in styles — Lommel's direct approach versus Westerlo's possession play — could lead to an open game, particularly if Westerlo, desperate to end their losing streak, push forward recklessly. This recklessness invites the possibility of a goal-heavy contest.

    The final whistle may well see a 2-1 or 3-2 conclusion, with the gambling opportunity lying in the over 4.5 goals market at those enticing odds. The value here is hard to ignore.

    LommelLommel
    Form DL
    League ranking xG #13xGA #13xT #18xP/match #11Points #13
    Key players
    • Tom ReynersFxG 0.06 · xT 0.16
    • Lucas SchoofsCMxG 0.15 · xT -0.04
    • Jason van DuivenCMxG 0.00 · xT 0.05
    WesterloWesterlo
    Form WLLLL
    League ranking xG #14xGA #17xT #11xP/match #17Points #16
    Key players
    • Ibrahim Cheick Junior FofanaCMxG 0.06 · xT 0.04
    • Isa SakamotoCMxG 0.10 · xT 0.05
    • Seiji KimuraCBxG 0.00 · xT 0.08

    Match prediction: LommelWesterlo

    Predicted score matrix

    Westerlo
    Lommel
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–16.3%
    0–25.3%
    0–32.8%
    0–4+1.6%
    1
    1–06.3%
    1–110.8%
    1–28.3%
    1–34.4%
    1–4+2.5%
    2
    2–05.3%
    2–18.4%
    2–26.6%
    2–33.5%
    2–4+2.0%
    3
    3–02.8%
    3–14.4%
    3–23.5%
    3–31.9%
    3–4+1.0%
    4+
    4+–01.6%
    4+–12.5%
    4+–22.0%
    4+–31.1%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-18%
    3. 3.1-28%
    4. 4.2-27%
    5. 5.1-06%
    Expected goals
    1,591,59
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @1.96
    Over 2,561%
    @1.81EV+11%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Lommel or draw (1X)62%
    • Over 1.5 goals83%

    Combined probability

    51%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Double chance Lommel or draw (1X)62%
    • Over 2.5 goals61%
    • Lucas Schoofs to score27%

    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 score64%
    • Over 2.5 goals61%
    • Lucas Schoofs to score27%
    • Cisse Sandra 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+).

    • Over 4.521% probability@5.87BetsafeEV+26%reference odds
    • Over 4.521% probability@5.87BetssonEV+26%reference odds
    • Over 4.521% probability@5.87NordicbetEV+26%reference odds
    Bookmaker1 · LommelX2 · Westerlo
    Betsafe2.503.452.65
    Betsson2.503.452.65
    Nordicbet2.503.452.65

    Odds updated 18 Aug, 19:36

    Odds movement

    1+4 %
    41 %36 %

    2.402.50

    X+6 %
    30 %25 %

    3.253.45

    2-8 %
    36 %31 %

    2.882.65

    Over 2,5-3 %
    54 %49 %

    1.861.81

    Betsson · 12 recorded price levels · 17/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • KVC Westerlo have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Lommel
    Westerlo
    When goals are scored and conceded 2026
    Lommel (12)
    Westerlo (38)
    Pass networks

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

    Lommel
    Dries Wouters: 108 passningar, xT 0.02WoutersTimothy Eyoma: 97 passningar, xT 0.13EyomaHenry Oware: 60 passningar, xT 0.09OwareLucas Schoofs: 58 passningar, xT -0.08SchoofsJason van Duiven: 55 passningar, xT 0.09DuivenJoey Pelupessy: 49 passningar, xT 0.01PelupessyMatthias Pieklak: 46 passningar, xT 0.01PieklakTom Reyners: 32 passningar, xT 0.22ReynersIsaiah Jelani Oladele Adedeji Dada-Mascoll: 29 passningar, xT -0.04Dada-MascollStredair Owusu Appuah: 27 passningar, xT -0.05AppuahShawn Adewoye: 22 passningar, xT -0.04Adewoye
    Westerlo
    Seiji Kimura: 120 passningar, xT 0.14KimuraIbrahim Cheick Junior Fofana: 93 passningar, xT 0.08FofanaCisse Sandra: 73 passningar, xT 0.05SandraMichée Ndembi: 64 passningar, xT 0.12NdembiIsa Sakamoto: 57 passningar, xT 0.04SakamotoAndreas Jungdal: 52 passningar, xT 0.03JungdalShunsuke Saito: 51 passningar, xT 0.16SaitoAmando Lapage: 51 passningar, xT 0.08LapageReno Morris Münz: 50 passningar, xT 0.05MünzLucas Mbamba-Muanda: 50 passningar, xT 0.06Mbamba-MuandaLasse Flø Borregaard: 48 passningar, xT 0.02Borregaard
    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.

    Lommel
    Dries Wouters: 108 passningar, xT 0.02WoutersTimothy Eyoma: 97 passningar, xT 0.13EyomaHenry Oware: 60 passningar, xT 0.09OwareLucas Schoofs: 58 passningar, xT -0.08SchoofsJason van Duiven: 55 passningar, xT 0.09DuivenJoey Pelupessy: 49 passningar, xT 0.01PelupessyMatthias Pieklak: 46 passningar, xT 0.01PieklakTom Reyners: 32 passningar, xT 0.22ReynersIsaiah Jelani Oladele Adedeji Dada-Mascoll: 29 passningar, xT -0.04Dada-MascollStredair Owusu Appuah: 27 passningar, xT -0.05AppuahShawn Adewoye: 22 passningar, xT -0.04Adewoye
    Westerlo
    Seiji Kimura: 120 passningar, xT 0.14KimuraIbrahim Cheick Junior Fofana: 93 passningar, xT 0.08FofanaCisse Sandra: 73 passningar, xT 0.05SandraMichée Ndembi: 64 passningar, xT 0.12NdembiIsa Sakamoto: 57 passningar, xT 0.04SakamotoAndreas Jungdal: 52 passningar, xT 0.03JungdalShunsuke Saito: 51 passningar, xT 0.16SaitoAmando Lapage: 51 passningar, xT 0.08LapageReno Morris Münz: 50 passningar, xT 0.05MünzLucas Mbamba-Muanda: 50 passningar, xT 0.06Mbamba-MuandaLasse Flø Borregaard: 48 passningar, xT 0.02Borregaard

    The teams in numbers

    PerformanceLommelWesterlo
    Points10
    xPoints2.40.8
    xG per match10.95
    xGA per match2.13
    xG within 8s of winning the ball0.210.08
    xGA within 8s of losing the ball0.230.24
    Playing styleLommelWesterlo
    Build-up efficiency0.310.31
    Field tilt0.290.47
    xT per match0.211
    xTA per match2.21.1
    Won balls, offensive half2218
    Pressing intensity0.290.26
    Pressing efficiency0.210.32
    Pressing efficiency, offensive half0.150.25
    Entries into the box per match69
    Entries into the box against2313
    Pass completion %0.760.78
    Pass completion % under pressure0.740.75
    Passes per match318405
    Passes against per match529366
    Switches of play per match21.321.8
    Long balls per match3125
    Set piecesLommelWesterlo
    xG from free kicks0.020.01
    Corners per match24.1
    Corners against per match8.96.6
    xG per corner00.02
    xGA per corner against0.010.03
    First touch, offensive corners %0.50.38
    First touch, defensive corners %0.610.38
    OtherLommelWesterlo
    Throw-in control0.640.58
    The goalkeepersMatthias Pieklak (Lommel)Andreas Jungdal (Westerlo)
    Saves68
    Save %75%50%
    xG prevented86%35%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Lommel vs Westerlo according to our model?

    The model gives Lommel a 39% win probability. Full 1X2 picture: Lommel 39%, draw 26%, Westerlo 35%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 64% 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.