Belgian Pro LeagueStade Joseph Marien, Bryssel18°14 km/h

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    Union Saint-GilloiseUnion Saint-GilloisePossession control
    vs
    LommelLommelCounter-attacks & crosses
    The model's lean: 1 · Union Saint-Gilloise (71%)Best value by the model: 2 · Lommel @ 10.98 (+30 %)

    Union Saint-GilloiseLommel · Belgian Pro League

    1 · Union Saint-Gilloise 71%X 18%12% Lommel · 2

    Analysis: Union Saint-GilloiseLommel

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

    TEXT:

    A dominant 71% probability for Royale Union Saint-Gilloise captures the essence of this fixture against Lommel. With a most likely scoreline of 2-0 and an expected goals tally of 2.19 to 0.71, the hosts’ possession control style seems poised to exploit the visitors’ counter-attack tendencies. Historically, Union has proven formidable at home, winning 79% of their matches. They're on a three-match winning streak, further bolstering their confidence.

    While Lommel's counter-attacking approach might pose occasional threats, their expected goals against (xGA) of 1.5 per match suggests their defense might struggle. Union's ability to convert possession into goals has been evident, with xG figures consistently higher than their opponents. The over 2.5 goals probability stands at 55%, but the numbers tilt more convincingly towards a straightforward win for the hosts.

    The model leans towards a controlled, low-risk outcome; a 2-0 victory seems the soundest prediction given the current form and expected outputs. The chance of both teams scoring remains under 50%, highlighting an opportunity for a clean sheet bet. It's a matchup where pragmatism seems the safest play: backing Union with confidence.

    Union Saint-GilloiseUnion Saint-Gilloise
    Form WDWWW
    League ranking xG #6xGA #7xT #7xP/match #3Points #2
    Key players
    • Mateo BiondicFxG 0.33 · xT 0.07
    • Besfort ZeneliLWxG 0.35 · xT 0.10
    • Adem ZorganeCMxG 0.21 · xT 0.44
    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

    Match prediction: Union Saint-GilloiseLommel

    Predicted score matrix

    Lommel
    Union Saint-Gilloise
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–13.6%
    0–21.4%
    0–30.3%
    0–4+0.1%
    1
    1–011.8%
    1–18.8%
    1–23.0%
    1–30.7%
    1–4+0.1%
    2
    2–013.2%
    2–19.4%
    2–23.3%
    2–30.8%
    2–4+0.2%
    3
    3–09.7%
    3–16.8%
    3–22.4%
    3–30.6%
    3–4+0.1%
    4+
    4+–08.8%
    4+–16.3%
    4+–22.2%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-013%
    2. 2.1-012%
    3. 3.3-010%
    4. 4.2-19%
    5. 5.1-19%
    Expected goals
    2,190,71
    Both teams to score
    45%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    Over 2,555%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Union Saint-Gilloise to win71%
    • Over 1.5 goals79%

    Combined probability

    59%

    Fair odds

    1.68

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

    02 · 3 legs

    Balanced

    • Union Saint-Gilloise to win71%
    • Over 2.5 goals55%
    • Mateo Biondic to score41%

    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 score45%
    • Over 2.5 goals55%
    • Mateo Biondic to score41%
    • Lucas Schoofs 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+).

    • 2 · Lommel12% probability@10.98PinnacleEV+30%reference odds
    • X · Draw18% probability@6.76PinnacleEV+18%reference odds
    • Under 3.567% probability@1.68PinnacleEV+12%reference odds
    Bookmaker1 · Union Saint-GilloiseX2 · Lommel
    Pinnacle1.21
    EV+ 18%
    6.76
    EV+ 30%
    10.98

    Odds updated 11 Sept, 08:26

    Odds movement

    10 %
    80 %75 %

    1.211.21

    X0 %
    16 %11 %

    6.756.76

    20 %
    11 %6 %

    10.9710.98

    Pinnacle · 8 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Royale Union Saint-Gilloise come into this round on 3 straight wins.
    • Royale Union Saint-Gilloise win 79% of their home matches all-time (42 played).
    xG & xGA per match — 3-game rolling average

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

    Union Saint-Gilloise
    Lommel
    When goals are scored and conceded 2026
    Union Saint-Gilloise (143)
    Lommel (63)
    Pass networks

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

    Union Saint-Gilloise
    Kevin Mac Allister: 223 passningar, xT 0.14AllisterKamiel Van de Perre: 204 passningar, xT 0.21PerreMassire Sylla: 171 passningar, xT 0.17SyllaAdem Zorgane: 170 passningar, xT 1.16ZorganeOndřej Kričfaluši: 133 passningar, xT 0.22KričfalušiFedde Leysen: 113 passningar, xT 0.51LeysenBesfort Zeneli: 108 passningar, xT 0.36ZeneliRob Schoofs: 103 passningar, xT 0.16SchoofsHervé Kouakou Koffi: 97 passningar, xT 0.21KoffiLouis Patris: 97 passningar, xT 0.41PatrisGuilherme Smith: 90 passningar, xT 0.72Smith
    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
    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.

    Union Saint-Gilloise
    Kevin Mac Allister: 223 passningar, xT 0.14AllisterKamiel Van de Perre: 204 passningar, xT 0.21PerreMassire Sylla: 171 passningar, xT 0.17SyllaAdem Zorgane: 170 passningar, xT 1.16ZorganeOndřej Kričfaluši: 133 passningar, xT 0.22KričfalušiFedde Leysen: 113 passningar, xT 0.51LeysenBesfort Zeneli: 108 passningar, xT 0.36ZeneliRob Schoofs: 103 passningar, xT 0.16SchoofsHervé Kouakou Koffi: 97 passningar, xT 0.21KoffiLouis Patris: 97 passningar, xT 0.41PatrisGuilherme Smith: 90 passningar, xT 0.72Smith
    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

    The teams in numbers

    PerformanceUnion Saint-GilloiseLommel
    Points137
    xPoints8.96.5
    xG per match1.81.1
    xGA per match1.11.5
    xG within 8s of winning the ball0.20.13
    xGA within 8s of losing the ball0.250.13
    Playing styleUnion Saint-GilloiseLommel
    Build-up efficiency0.310.31
    Field tilt0.530.3
    xT per match1.20.67
    xTA per match0.91.4
    Won balls, offensive half3420
    Pressing intensity0.240.26
    Pressing efficiency0.310.23
    Pressing efficiency, offensive half0.270.16
    Entries into the box per match168
    Entries into the box against1218
    Pass completion %0.760.76
    Pass completion % under pressure0.70.75
    Passes per match369338
    Passes against per match367462
    Switches of play per match21.320.9
    Long balls per match3632
    Set piecesUnion Saint-GilloiseLommel
    xG from free kicks0.190.1
    Corners per match53
    Corners against per match3.68
    xG per corner0.030.04
    xGA per corner against0.020.01
    First touch, offensive corners %0.480.6
    First touch, defensive corners %0.720.57
    OtherUnion Saint-GilloiseLommel
    Throw-in control0.690.7
    The goalkeepersHervé Kouakou Koffi (Union Saint-Gilloise)Matthias Pieklak (Lommel)
    Saves1015
    Save %83%88%
    xG prevented68%93%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Union Saint-Gilloise vs Lommel according to our model?

    The model gives Union Saint-Gilloise a 71% win probability. Full 1X2 picture: Union Saint-Gilloise 71%, draw 18%, Lommel 12%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 45% 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.