Ligue 1Stadium de Toulouse, Toulouse24°10 km/h

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    ToulouseToulousePossession control
    vs
    LilleLilleBalanced & physical
    The model's lean: 2 · Lille (51%)

    ToulouseLille · Ligue 1

    1 · Toulouse 23%X 26%51% Lille · 2

    Analysis: ToulouseLille

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT (corrected):

    The spotlight shines on Lille's impressive run against Toulouse, having won all four encounters since 2022. While this is a small sample size, it underscores Lille's recent dominance in head-to-head matchups. However, the statistical battle is more nuanced. The expected goals (xG) metrics hint at a closer contest, with Toulouse generating slightly more xG per match (1.3) compared to Lille (1.2).

    Digging deeper, Toulouse's style leans towards possession control, a tactic that could either frustrate Lille’s balanced and physical approach or lead them into traps set by Lille's counter-attack. The clash of styles adds a layer of unpredictability. Despite their struggles in actual points, Lille also holds the edge in expected points (xPoints) per match (3.3 vs 2.5), reinforcing their favored status.

    The model gives Lille a 51% probability of winning, with the most probable outcome being a 1-1 draw at 12%, closely followed by Lille winning 0-1 at 11%. This indicates that while Lille is favored, a tight contest is expected. The expected goals tally—Toulouse 1.08 to Lille’s 1.58—leans towards the visitors but reflects a match where both defenses will have their tasks cut out.

    For those looking for betting angles, the over 2.5 goals market sits at an even 50%, while both teams to score comes in at 53%. Given the historical dominance of Lille and the model's lean, an away win seems the sensible pick, but the odds aren't offering substantial value. However, Unibet provides Lille to win at odds of 2.10, which presents a potential value bet for those siding with the model's lean.

    In conclusion, expect a hard-fought battle where Lille’s previous edge might tilt the scales. A 0-1 or 1-2 scoreline seems plausible, with goals market finely balanced given the tactical dynamics at play.

    ToulouseToulouse
    Form DWWLD
    League ranking xG #13xGA #11xT #18xP/match #12Points #16
    Key players
    • Jacen Rex Orlando Russell-RoweFxG 0.14 · xT 0.00
    • Cristian Sleiker Cásseres Yepes Jr.CDMxG 0.01 · xT 0.11
    • Gnantin Yann-Alexandre GbohoLWxG 0.11 · xT 0.05
    LilleLille
    Form DWLWD
    League ranking xG #14xGA #13xT #15xP/match #6Points #2
    Key players
    • Olivier GiroudFxG 0.38 · xT 0.04
    • Hákon Arnar HaraldssonCMxG 0.37 · xT 0.18
    • Tiago Carvalho SantosRWBxG 0.16 · xT 0.20

    Match prediction: ToulouseLille

    Predicted score matrix

    Lille
    Toulouse
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–110.7%
    0–28.7%
    0–34.6%
    0–4+2.6%
    1
    1–07.2%
    1–112.3%
    1–29.4%
    1–35.0%
    1–4+2.8%
    2
    2–04.1%
    2–16.5%
    2–25.1%
    2–32.7%
    2–4+1.5%
    3
    3–01.5%
    3–12.3%
    3–21.8%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.6%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-111%
    3. 3.1-29%
    4. 4.0-29%
    5. 5.0-07%
    Expected goals
    1,081,58
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.82
    Over 2,550%
    @2.07EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Lille to win51%
    • Under 3.5 goals72%

    Combined probability

    33%

    Fair odds

    2.99

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

    02 · 3 legs

    Balanced

    • Lille to win51%
    • Under 2.5 goals50%
    • Soriba Diaoune to score30%

    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 score53%
    • Over 2.5 goals50%
    • Soriba Diaoune to score30%
    • Cristian Sleiker Cásseres Yepes Jr. 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Lille51% probability@2.25Bet365EV+16%reference odds
    • 2 · Lille51% probability@2.18BetsafeEV+12%reference odds
    • 2 · Lille51% probability@2.18BetssonEV+12%reference odds
    Bookmaker1 · ToulouseX2 · Lille
    Bet3653.103.25
    EV+ 16%
    2.25
    Betsafe3.353.30
    EV+ 12%
    2.18
    Betsson3.353.30
    EV+ 12%
    2.18
    Nordicbet3.353.30
    EV+ 12%
    2.18
    Pinnacle3.523.43
    EV+ 11%
    2.16

    Odds updated 1 Sept, 16:35

    Odds movement

    1+1 %
    30 %25 %

    3.493.52

    X+1 %
    31 %26 %

    3.383.43

    20 %
    47 %42 %

    2.172.16

    Over 2,50 %
    49 %44 %

    2.062.07

    Pinnacle · 5 recorded price levels · 31/08/2026 → 01/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Toulouse 0Draw 0Lille 4
    Goals: 310 (⌀ 3,2)

    Head-to-head based on Ligue 1 data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Toulouse
    Lille
    When goals are scored and conceded 2026
    Toulouse (24)
    Lille (42)
    Pass networks

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

    Toulouse
    Cristian Sleiker Cásseres Yepes Jr.: 107 passningar, xT 0.15Jr.Mark Irwin Robert Alexander McKenzie: 104 passningar, xT 0.02McKenzieRasmus Nicolaisen: 93 passningar, xT 0.06NicolaisenGuillaume Restes: 78 passningar, xT 0RestesNiklas Schmidt: 67 passningar, xT 0.2SchmidtChrist Tapé: 65 passningar, xT 0.35TapéThomas Jørgensen: 46 passningar, xT 0.02JørgensenGnantin Yann-Alexandre Gboho: 41 passningar, xT 0.08GbohoIsmail Diallo: 34 passningar, xT 0.09DialloRafik Messali: 33 passningar, xT 0.06MessaliAlexis Vossah: 17 passningar, xT 0Vossah
    Lille
    Nabil Bentaleb: 72 passningar, xT 0.1BentalebAlexsandro Victor de Souza Ribeiro: 63 passningar, xT 0.11RibeiroNathan Ngoy: 58 passningar, xT 0.04NgoyRomain Perraud: 51 passningar, xT 0.11PerraudBerke Özer: 51 passningar, xT 0.03ÖzerTiago Carvalho Santos: 48 passningar, xT 0.24SantosHákon Arnar Haraldsson: 45 passningar, xT 0.14HaraldssonNgal'ayel Mukau: 42 passningar, xT 0.03MukauEthan Mbappe: 37 passningar, xT 0.17MbappeFelix Correia: 26 passningar, xT 0.04CorreiaBenjamin Michel Édouard André: 23 passningar, xT 0André
    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.

    Toulouse
    Cristian Sleiker Cásseres Yepes Jr.: 107 passningar, xT 0.15Jr.Mark Irwin Robert Alexander McKenzie: 104 passningar, xT 0.02McKenzieRasmus Nicolaisen: 93 passningar, xT 0.06NicolaisenGuillaume Restes: 78 passningar, xT 0RestesNiklas Schmidt: 67 passningar, xT 0.2SchmidtChrist Tapé: 65 passningar, xT 0.35TapéThomas Jørgensen: 46 passningar, xT 0.02JørgensenGnantin Yann-Alexandre Gboho: 41 passningar, xT 0.08GbohoIsmail Diallo: 34 passningar, xT 0.09DialloRafik Messali: 33 passningar, xT 0.06MessaliAlexis Vossah: 17 passningar, xT 0Vossah
    Lille
    Nabil Bentaleb: 72 passningar, xT 0.1BentalebAlexsandro Victor de Souza Ribeiro: 63 passningar, xT 0.11RibeiroNathan Ngoy: 58 passningar, xT 0.04NgoyRomain Perraud: 51 passningar, xT 0.11PerraudBerke Özer: 51 passningar, xT 0.03ÖzerTiago Carvalho Santos: 48 passningar, xT 0.24SantosHákon Arnar Haraldsson: 45 passningar, xT 0.14HaraldssonNgal'ayel Mukau: 42 passningar, xT 0.03MukauEthan Mbappe: 37 passningar, xT 0.17MbappeFelix Correia: 26 passningar, xT 0.04CorreiaBenjamin Michel Édouard André: 23 passningar, xT 0André

    The teams in numbers

    PerformanceToulouseLille
    Points14
    xPoints2.53.3
    xG per match1.31.2
    xGA per match1.51.7
    xG within 8s of winning the ball0.320.23
    xGA within 8s of losing the ball0.070.25
    Playing styleToulouseLille
    Build-up efficiency0.310.32
    Field tilt0.420.24
    xT per match0.650.79
    xTA per match1.11.9
    Won balls, offensive half2323
    Pressing intensity0.270.27
    Pressing efficiency0.280.2
    Pressing efficiency, offensive half0.230.19
    Entries into the box per match1311
    Entries into the box against1418
    Pass completion %0.780.78
    Pass completion % under pressure0.720.75
    Passes per match372291
    Passes against per match400590
    Switches of play per match25.211.7
    Long balls per match2928
    Set piecesToulouseLille
    xG from free kicks0.10
    Corners per match41.5
    Corners against per match6.16.6
    xG per corner0.10
    xGA per corner against0.040.04
    First touch, offensive corners %0.860.33
    First touch, defensive corners %0.750.62
    OtherToulouseLille
    Throw-in control0.680.33
    The goalkeepersGuillaume Restes (Toulouse)Berke Özer (Lille)
    Saves64
    Save %60%67%
    xG prevented56%82%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Toulouse vs Lille according to our model?

    The model gives Lille a 51% win probability. Full 1X2 picture: Toulouse 23%, draw 26%, Lille 51%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.