Ligue 2Stade Gaston Gérard, Dijon17°13 km/h

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    DijonDijon
    vs
    LavalLaval
    The model's lean: 1 · Dijon (49%)Best value by the model: Under 2,5 @ 2.14 (+20 %)

    DijonLaval · Ligue 2

    1 · Dijon 49%X 28%23% Laval · 2

    Analysis: DijonLaval

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

    Dijon's 49% chance of victory stands out, underscoring their favored position against Laval on home soil. The hosts are projected to score 1.55 goals, compared to the visitors' 0.88, suggesting a relatively low-scoring affair. Most likely outcomes lean towards a 1-0 (13%) or 1-1 (12%) scoreline, with a 44% probability for over 2.5 goals. This indicates potential tightness in the encounter.

    The small sample size in head-to-head encounters between these two sides means that current form and expected goals should weigh more heavily in assessing the likely outcome. Dijon appears to have the edge, supported by both the model's lean and the distribution of likely scorelines. Laval's modest 23% chance of winning suggests they might struggle to break through.

    The sharpest betting angle emerges with the under 1.5 goals market, offering value at odds of 3.5 with Betsafe, Betsson, and Nordicbet. The model rates this outcome at 30%, providing a 4% edge. This underlines the expectation of a close, low-scoring game, making the under 1.5 goals an enticing proposition for value seekers.

    DijonDijon
    Form DLDLD
    Key players
    • Tyris DongFxG 0.37 · xT 0.00
    • Alexis N'TamackFxG 0.11 · xT 0.02
    • Ismaïl BouleghchaRBxG 0.00 · xT 0.20
    LavalLaval
    Form LWDLL
    Key players
    • Mathis HoudayerFxG 0.18 · xT 0.09
    • Malik SelloukiRWxG 0.10 · xT 0.00
    • Jules GaudinLBxG 0.04 · xT 0.08

    Match prediction: DijonLaval

    Predicted score matrix

    Laval
    Dijon
    0
    1
    2
    3
    4+
    0
    0–09.1%
    0–17.4%
    0–23.4%
    0–31.0%
    0–4+0.3%
    1
    1–013.2%
    1–112.4%
    1–25.3%
    1–31.6%
    1–4+0.4%
    2
    2–010.5%
    2–19.3%
    2–24.1%
    2–31.2%
    2–4+0.3%
    3
    3–05.4%
    3–14.8%
    3–22.1%
    3–30.6%
    3–4+0.2%
    4+
    4+–03.0%
    4+–12.6%
    4+–21.2%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-013%
    2. 2.1-112%
    3. 3.2-011%
    4. 4.2-19%
    5. 5.0-09%
    Expected goals
    1,550,88
    Both teams to score
    47%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @2.14EV+13%
    Over 2,544%
    @1.74

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Dijon to win49%
    • Under 3.5 goals77%

    Combined probability

    38%

    Fair odds

    2.60

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

    02 · 3 legs

    Balanced

    • Dijon to win49%
    • Under 2.5 goals56%
    • Tyris Dong 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 score47%
    • Over 2.5 goals44%
    • Tyris Dong to score28%
    • Cyril Paul Mandouki to be booked24%

    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+).

    • Under 2.556% probability@2.14PinnacleEV+20%reference odds
    • Under 1.530% probability@3.90BetsafeEV+16%reference odds
    • Under 1.530% probability@3.90BetssonEV+16%reference odds
    Bookmaker1 · DijonX2 · Laval
    Betsafe1.953.353.55
    Betsson1.953.353.55
    Nordicbet1.953.353.55
    Pinnacle1.99
    EV+ 8%
    3.83
    3.57

    Odds updated 11 Sept, 10:38

    Odds movement

    1+2 %
    53 %43 %

    1.941.99

    X-1 %
    31 %21 %

    3.853.83

    2+3 %
    32 %22 %

    3.473.57

    Over 2,5-4 %
    56 %46 %

    1.811.74

    Pinnacle · 12 recorded price levels · 05/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Dijon
    Laval
    When goals are scored and conceded 2026
    Dijon (57)
    Laval (510)
    Pass networks

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

    Dijon
    Lenny Stéphane Lacroix: 310 passningar, xT 0.6LacroixQuentin Bernard: 269 passningar, xT 0.53BernardPaul Bellon: 213 passningar, xT 0.59BellonBrandon Nsimba Nsimba Ndezi: 188 passningar, xT 0.42NdeziIsmaïl Bouleghcha: 179 passningar, xT 0.56BouleghchaSamy Olivier Chouchane: 152 passningar, xT 0.7ChouchaneJordan Marie: 140 passningar, xT 0.79MarieYlan Aka: 128 passningar, xT 0.24AkaPaul Delecroix: 110 passningar, xT 0.15DelecroixAdel Lembezat: 101 passningar, xT 0.83LembezatMoussa Faty: 89 passningar, xT 0.3Faty
    Laval
    William Bianda: 294 passningar, xT 0.54BiandaJules Gaudin: 227 passningar, xT 0.31GaudinAboubacar Lo: 217 passningar, xT 0.55LoSam Sanna: 214 passningar, xT 0.51SannaEsteban Mouton: 194 passningar, xT 0.76MoutonCyril Mandouki: 166 passningar, xT 0.07MandoukiMamadou Samassa: 147 passningar, xT 0.12SamassaJulien Maggiotti: 115 passningar, xT 0.2MaggiottiMamadou Sidibé: 83 passningar, xT 0.21SidibéSacha Mellier: 68 passningar, xT -0.04MellierMalik Sellouki: 58 passningar, xT -0.01Sellouki
    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.

    Dijon
    Lenny Stéphane Lacroix: 310 passningar, xT 0.6LacroixQuentin Bernard: 269 passningar, xT 0.53BernardPaul Bellon: 213 passningar, xT 0.59BellonBrandon Nsimba Nsimba Ndezi: 188 passningar, xT 0.42NdeziIsmaïl Bouleghcha: 179 passningar, xT 0.56BouleghchaSamy Olivier Chouchane: 152 passningar, xT 0.7ChouchaneJordan Marie: 140 passningar, xT 0.79MarieYlan Aka: 128 passningar, xT 0.24AkaPaul Delecroix: 110 passningar, xT 0.15DelecroixAdel Lembezat: 101 passningar, xT 0.83LembezatMoussa Faty: 89 passningar, xT 0.3Faty
    Laval
    William Bianda: 294 passningar, xT 0.54BiandaJules Gaudin: 227 passningar, xT 0.31GaudinAboubacar Lo: 217 passningar, xT 0.55LoSam Sanna: 214 passningar, xT 0.51SannaEsteban Mouton: 194 passningar, xT 0.76MoutonCyril Mandouki: 166 passningar, xT 0.07MandoukiMamadou Samassa: 147 passningar, xT 0.12SamassaJulien Maggiotti: 115 passningar, xT 0.2MaggiottiMamadou Sidibé: 83 passningar, xT 0.21SidibéSacha Mellier: 68 passningar, xT -0.04MellierMalik Sellouki: 58 passningar, xT -0.01Sellouki
    The goalkeepersPaul Delecroix (Dijon)Mamadou Samassa (Laval)
    Saves1421
    Save %70%68%
    xG prevented54%63%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Dijon vs Laval according to our model?

    The model gives Dijon a 49% win probability. Full 1X2 picture: Dijon 49%, draw 28%, Laval 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 47% 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.