Ligue 1Stade du Moustoir, Lorient18°13 km/h

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    LorientLorientCounter-attacks & crosses
    vs
    ToulouseToulousePossession control
    The model's lean: 1 · Lorient (42%)

    LorientToulouse · Ligue 1

    1 · Lorient 42%X 31%27% Toulouse · 2

    Analysis: LorientToulouse

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

    TEXT (corrected):

    Two matches between these sides since 2022 offer a slim sample: a draw and a win for the visitors. While historical outcomes provide a glimpse, they're not as telling as the current context. The model leans towards the hosts with a 42% probability of victory, a stance reinforced by Lorient’s stronger start to the season. They have accumulated five points compared to just one for the visitors, suggesting a more stable performance in recent games.

    Lorient's style, rooted in counter-attacking and crossing, contrasts with Toulouse's possession-centered approach. This divergence sets the stage for a fascinating tactical battle. In line with conceding fewer expected goals (xGA) per match, Lorient holds a tighter defensive edge, which might prove crucial against a Toulouse side that has been more prolific in generating chances. Nonetheless, the model lists 1-1 and 1-0 scorelines among the most likely outcomes, hinting at a tightly contested match hovering right around the 2.5 goals mark.

    The expected goals (xG) metrics paint a nuanced picture: Lorient averages 1.45 with Toulouse close behind at 1.24. These figures, along with a 55% probability for both teams to score, suggest a balanced contest in terms of offensive potency. The numbers recommend caution against expecting fireworks — a tight 1-0 or a 1-1 draw feels plausible, playing to the strengths of each defense.

    Value seekers should note the odds on a Lorient victory, particularly the 2.55 offered by Betsafe, Betsson, and Nordicbet. With the model assigning a 42% chance of a home win, this represents a 7% edge — an opportunity worth examining for those drawn to disciplined, data-backed wagers.

    LorientLorient
    Form WLDDW
    League ranking xG #13xGA #6xT #4xP/match #10Points #7
    Key players
    • Montassar Omar TalbiCBxG 0.05 · xT 0.10
    • Jean-Victor MakengoCAMxG 0.23 · xT 0.10
    • Arthur Ebong AvomCAMxG 0.12 · xT 0.38
    ToulouseToulouse
    Form WWLDL
    League ranking xG #6xGA #8xT #14xP/match #6Points #17
    Key players
    • Jacen Rex Orlando Russell-RoweFxG 0.64 · xT 0.02
    • Cristian Sleiker Cásseres Yepes Jr.CDMxG 0.07 · xT 0.23
    • Santiago HidalgoLWxG 0.44 · xT -0.01

    Match prediction: LorientToulouse

    Predicted score matrix

    Toulouse
    Lorient
    0
    1
    2
    3
    4+
    0
    0–07.1%
    0–18.0%
    0–25.2%
    0–32.2%
    0–4+0.9%
    1
    1–09.5%
    1–112.5%
    1–27.6%
    1–33.1%
    1–4+1.3%
    2
    2–07.1%
    2–18.9%
    2–25.5%
    2–32.3%
    2–4+0.9%
    3
    3–03.5%
    3–14.3%
    3–22.7%
    3–31.1%
    3–4+0.4%
    4+
    4+–01.7%
    4+–12.2%
    4+–21.3%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,451,24
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.90
    Over 2,550%
    @1.97

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Lorient or draw (1X)68%
    • Under 3.5 goals72%

    Combined probability

    49%

    Fair odds

    2.06

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

    02 · 3 legs

    Balanced

    • Double chance Lorient or draw (1X)68%
    • Over 2.5 goals51%
    • Mohamed Bamba to score28%

    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 score55%
    • Over 2.5 goals51%
    • Mohamed Bamba to score28%
    • Rasmus Schmidt Nicolaisen 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+).

    • 1 · Lorient42% probability@2.60BetsafeEV+9%reference odds
    • 1 · Lorient42% probability@2.60BetssonEV+9%reference odds
    • 1 · Lorient42% probability@2.60NordicbetEV+9%reference odds
    Bookmaker1 · LorientX2 · Toulouse
    Betsafe
    EV+ 9%
    2.60
    3.202.75
    Betsson
    EV+ 9%
    2.60
    3.202.75
    Nordicbet
    EV+ 9%
    2.60
    3.202.75
    Pinnacle
    EV+ 9%
    2.60
    EV+ 4%
    3.35
    2.82

    Odds updated 11 Sept, 05:37

    Odds movement

    Market signal

    The market has moved clearly towards over 2.5 goals since 4 September — the odds have shortened from 2.07 to 1.97 (−5%).

    1-3 %
    39 %34 %

    2.682.60

    X+5 %
    32 %27 %

    3.193.35

    2+3 %
    37 %32 %

    2.742.82

    Over 2,5-5 %
    50 %45 %

    2.071.97

    Pinnacle · 14 recorded price levels · 04/09/2026 → 10/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Lorient 0Draw 1Toulouse 1
    Goals: 12 (⌀ 1,5)

    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).

    Lorient
    Toulouse
    When goals are scored and conceded 2026
    Lorient (22)
    Toulouse (25)
    Pass networks

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

    Lorient
    Montassar Omar Talbi: 212 passningar, xT 0.32TalbiNathaniel Adjei: 174 passningar, xT 0.24AdjeiNoah Cadiou: 148 passningar, xT 0.11CadiouDembo Sylla: 142 passningar, xT 0.22SyllaArthur Ebong Avom: 138 passningar, xT 0.69AvomKan Guy Arsène Kouassi: 102 passningar, xT 0.19KouassiJean-Victor Makengo: 96 passningar, xT 0.12MakengoYvon Mvogo: 88 passningar, xT 0.04MvogoThéo Le Bris: 58 passningar, xT 0.05BrisGabin Bernardeau: 41 passningar, xT 0.49BernardeauPanos Katseris: 32 passningar, xT 0.33Katseris
    Toulouse
    Cristian Sleiker Cásseres Yepes Jr.: 175 passningar, xT 0.47Jr.Mark Irwin Robert Alexander McKenzie: 172 passningar, xT 0.09McKenzieRasmus Nicolaisen: 141 passningar, xT 0.09NicolaisenGuillaume Restes: 105 passningar, xT -0.01RestesChrist Tapé: 99 passningar, xT 0.41TapéNiklas Schmidt: 91 passningar, xT 0.42SchmidtThomas Jørgensen: 76 passningar, xT 0.17JørgensenRafik Messali: 70 passningar, xT 0.07MessaliAlexis Vossah: 53 passningar, xT 0.03VossahIsmail Diallo: 46 passningar, xT 0.11DialloGnantin Yann-Alexandre Gboho: 41 passningar, xT 0.08Gboho
    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.

    Lorient
    Montassar Omar Talbi: 212 passningar, xT 0.32TalbiNathaniel Adjei: 174 passningar, xT 0.24AdjeiNoah Cadiou: 148 passningar, xT 0.11CadiouDembo Sylla: 142 passningar, xT 0.22SyllaArthur Ebong Avom: 138 passningar, xT 0.69AvomKan Guy Arsène Kouassi: 102 passningar, xT 0.19KouassiJean-Victor Makengo: 96 passningar, xT 0.12MakengoYvon Mvogo: 88 passningar, xT 0.04MvogoThéo Le Bris: 58 passningar, xT 0.05BrisGabin Bernardeau: 41 passningar, xT 0.49BernardeauPanos Katseris: 32 passningar, xT 0.33Katseris
    Toulouse
    Cristian Sleiker Cásseres Yepes Jr.: 175 passningar, xT 0.47Jr.Mark Irwin Robert Alexander McKenzie: 172 passningar, xT 0.09McKenzieRasmus Nicolaisen: 141 passningar, xT 0.09NicolaisenGuillaume Restes: 105 passningar, xT -0.01RestesChrist Tapé: 99 passningar, xT 0.41TapéNiklas Schmidt: 91 passningar, xT 0.42SchmidtThomas Jørgensen: 76 passningar, xT 0.17JørgensenRafik Messali: 70 passningar, xT 0.07MessaliAlexis Vossah: 53 passningar, xT 0.03VossahIsmail Diallo: 46 passningar, xT 0.11DialloGnantin Yann-Alexandre Gboho: 41 passningar, xT 0.08Gboho

    The teams in numbers

    PerformanceLorientToulouse
    Points51
    xPoints4.14.4
    xG per match1.31.8
    xGA per match1.31.5
    xG within 8s of winning the ball0.310.45
    xGA within 8s of losing the ball0.080.4
    Playing styleLorientToulouse
    Build-up efficiency0.310.31
    Field tilt0.380.52
    xT per match1.20.85
    xTA per match1.30.9
    Won balls, offensive half2525
    Pressing intensity0.230.25
    Pressing efficiency0.230.26
    Pressing efficiency, offensive half0.220.21
    Entries into the box per match1216
    Entries into the box against1612
    Pass completion %0.810.78
    Pass completion % under pressure0.710.72
    Passes per match459399
    Passes against per match463401
    Switches of play per match22.428.7
    Long balls per match3033
    Set piecesLorientToulouse
    xG from free kicks0.060.07
    Corners per match1.74.7
    Corners against per match7.64.7
    xG per corner0.040.07
    xGA per corner against0.020.03
    First touch, offensive corners %0.40.92
    First touch, defensive corners %0.680.79
    OtherLorientToulouse
    Throw-in control0.790.75
    The goalkeepersYvon Mvogo (Lorient)Guillaume Restes (Toulouse)
    Saves79
    Save %78%69%
    xG prevented31%64%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Lorient vs Toulouse according to our model?

    The model gives Lorient a 42% win probability. Full 1X2 picture: Lorient 42%, draw 31%, Toulouse 27%.

    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 55% 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.