Belgian Pro LeagueSoevereinstadion, Lommel14°18,0 mm21 km/h

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    LommelLommelCounter-attacks & crosses
    vs
    MechelenMechelenCounter-attacks & crosses
    The model's lean: 1 · Lommel (39%)

    LommelMechelen · Belgian Pro League

    1 · Lommel 39%X 32%29% Mechelen · 2

    Analysis: LommelMechelen

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Lommel enters this clash against Mechelen as the model's slight favorite, with a 39% chance of victory. This is an interesting stance given the underlying metrics. Both teams tend to play with a similar strategy, favoring counter-attacks and crosses, which often makes for a tightly contested affair. The most probable scoreline according to the model is a 1-1 draw, occurring 13% of the time. Yet, with Lommel's marginally better points tally, a narrow 1-0 victory to the hosts at 10% is also on the cards.

    With Lommel sitting on 7 points compared to Mechelen's 2, the hosts clearly have the edge in both league form and expected points. However, Mechelen's superior xG per match at 1.2 to Lommel's 1.1 suggests they are not to be underestimated offensively. What tips the balance back towards Lommel is their relatively stronger defensive metrics, conceding fewer expected goals against per match (1.5 vs 1.8).

    The statistical likelihood of over 2.5 goals is dead even at 50%. Yet both teams scoring is slightly favored at 54%, implying a scenario where each side finds the net is just slightly more likely than not. The clash of similar styles may well lead to a cautious start, keeping scores lower initially.

    Given the model's reliance on current season form and expected goals data, betting angles should focus on these present dynamics.

    Looking at the model's lean towards the hosts, combined with their statistical advantages, Lommel to win could present an enticing option for those seeking a positive expected value bet.

    LommelLommel
    Form DLWWL
    League ranking xG #16xGA #8xT #17xP/match #12Points #11
    Key players
    • Don-Angelo Christoffel Annum-Assamoah KonaduFxG 0.36 · xT 0.01
    • Jason van DuivenRWBxG 0.05 · xT 0.19
    • Lucas SchoofsCMxG 0.10 · xT 0.00
    MechelenMechelen
    Form LDLDL
    League ranking xG #13xGA #12xT #15xP/match #17Points #15
    Key players
    • Malcolm Bendele Lohunanu-MbasiFxG 0.11 · xT 0.04
    • Myron van BrederodeFxG 0.33 · xT 0.09
    • Keano VanrafelghemFxG 0.24 · xT 0.05

    Match prediction: LommelMechelen

    Predicted score matrix

    Mechelen
    Lommel
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–18.4%
    0–25.4%
    0–32.2%
    0–4+0.9%
    1
    1–09.6%
    1–112.7%
    1–27.7%
    1–33.2%
    1–4+1.3%
    2
    2–07.0%
    2–18.7%
    2–25.4%
    2–32.2%
    2–4+0.9%
    3
    3–03.3%
    3–14.1%
    3–22.6%
    3–31.1%
    3–4+0.4%
    4+
    4+–01.6%
    4+–12.0%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,411,24
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    Over 2,550%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Lommel or draw (1X)67%
    • Under 3.5 goals72%

    Combined probability

    49%

    Fair odds

    2.05

    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)67%
    • Under 2.5 goals50%
    • Tom Reyners 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 score54%
    • Over 2.5 goals50%
    • Myron van Brederode to score23%
    • Dennis Pierre Jacques Albert Praet to be booked22%

    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

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Lommel
    Mechelen
    When goals are scored and conceded 2026
    Lommel (63)
    Mechelen (513)
    Pass networks

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

    Lommel
    Dries Wouters: 292 passningar, xT 0.15WoutersTimothy Eyoma: 244 passningar, xT 0.34EyomaShawn Adewoye: 154 passningar, xT 0.08AdewoyeJason van Duiven: 146 passningar, xT 0.77DuivenLucas Schoofs: 145 passningar, xT -0.02SchoofsMatthias Pieklak: 141 passningar, xT 0.04PieklakJoey Pelupessy: 127 passningar, xT -0.02PelupessyTom Reyners: 95 passningar, xT 0.53ReynersStredair Owusu Appuah: 82 passningar, xT 0.22AppuahHenry Oware: 60 passningar, xT 0.09OwareJuho Jaakko Talvitie: 55 passningar, xT 0.28Talvitie
    Mechelen
    José Martínez Marsà: 232 passningar, xT 0.37MarsàLuc Marijnissen: 196 passningar, xT 0.23MarijnissenMyron van Brederode: 175 passningar, xT -0.01BrederodeTherence Koudou: 164 passningar, xT 0.76KoudouMike Eerdhuijzen: 144 passningar, xT 0.33EerdhuijzenDennis Pierre Jacques Albert Praet: 141 passningar, xT 0.25PraetIgnacio Mirás Blanco: 135 passningar, xT 0.21BlancoMassimo Stephane Decoene: 134 passningar, xT 0.18DecoeneFredrik Carl Michael Hammar: 130 passningar, xT 0.13HammarCedric Van Meirvenne: 81 passningar, xT 0.85MeirvenneBilal Bafdili: 55 passningar, xT 0.14Bafdili
    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: 292 passningar, xT 0.15WoutersTimothy Eyoma: 244 passningar, xT 0.34EyomaShawn Adewoye: 154 passningar, xT 0.08AdewoyeJason van Duiven: 146 passningar, xT 0.77DuivenLucas Schoofs: 145 passningar, xT -0.02SchoofsMatthias Pieklak: 141 passningar, xT 0.04PieklakJoey Pelupessy: 127 passningar, xT -0.02PelupessyTom Reyners: 95 passningar, xT 0.53ReynersStredair Owusu Appuah: 82 passningar, xT 0.22AppuahHenry Oware: 60 passningar, xT 0.09OwareJuho Jaakko Talvitie: 55 passningar, xT 0.28Talvitie
    Mechelen
    José Martínez Marsà: 232 passningar, xT 0.37MarsàLuc Marijnissen: 196 passningar, xT 0.23MarijnissenMyron van Brederode: 175 passningar, xT -0.01BrederodeTherence Koudou: 164 passningar, xT 0.76KoudouMike Eerdhuijzen: 144 passningar, xT 0.33EerdhuijzenDennis Pierre Jacques Albert Praet: 141 passningar, xT 0.25PraetIgnacio Mirás Blanco: 135 passningar, xT 0.21BlancoMassimo Stephane Decoene: 134 passningar, xT 0.18DecoeneFredrik Carl Michael Hammar: 130 passningar, xT 0.13HammarCedric Van Meirvenne: 81 passningar, xT 0.85MeirvenneBilal Bafdili: 55 passningar, xT 0.14Bafdili

    The teams in numbers

    PerformanceLommelMechelen
    Points72
    xPoints6.54.4
    xG per match1.11.2
    xGA per match1.51.8
    xG within 8s of winning the ball0.130.4
    xGA within 8s of losing the ball0.130.5
    Playing styleLommelMechelen
    Build-up efficiency0.310.3
    Field tilt0.30.59
    xT per match0.670.87
    xTA per match1.41.1
    Won balls, offensive half2027
    Pressing intensity0.260.23
    Pressing efficiency0.230.31
    Pressing efficiency, offensive half0.160.31
    Entries into the box per match814
    Entries into the box against1813
    Pass completion %0.760.73
    Pass completion % under pressure0.750.68
    Passes per match338364
    Passes against per match462335
    Switches of play per match20.924
    Long balls per match3237
    Set piecesLommelMechelen
    xG from free kicks0.10.04
    Corners per match33.7
    Corners against per match83.1
    xG per corner0.040.02
    xGA per corner against0.010.04
    First touch, offensive corners %0.60.32
    First touch, defensive corners %0.570.5
    OtherLommelMechelen
    Throw-in control0.70.67
    The goalkeepersMatthias Pieklak (Lommel)Ignacio Mirás Blanco (Mechelen)
    Saves1517
    Save %88%57%
    xG prevented93%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lommel vs Mechelen according to our model?

    The model gives Lommel a 39% win probability. Full 1X2 picture: Lommel 39%, draw 32%, Mechelen 29%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.