Ligue 1Stade de l'Abbé-Deschamps, Auxerre19°8 km/h

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    AuxerreAuxerreBalanced & physical
    vs
    NiceNiceBalanced & physical
    The model's lean: 1 · Auxerre (40%)Best value by the model: X · Draw @ 3.45 (+9 %)

    AuxerreNice · Ligue 1

    1 · Auxerre 40%X 32%29% Nice · 2

    Analysis: AuxerreNice

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

    TEXT: A small sample of four head-to-head encounters since 2022 has seen Auxerre edge Nice with two wins, one draw, and one loss. While past meetings provide a slight psychological edge to the hosts, they hold less weight than the current form and expected goals for this matchup. Notably, Auxerre, despite a troubling streak of three consecutive losses, has managed to find the net in their last eight league games, highlighting a persistent offensive threat.

    Auxerre's recent form might be wobbly, but they still draw probabilities in their favor with a 40% chance of victory according to model predictions. This is juxtaposed against Nice's 29% chance, offering a window into the balanced yet competitive nature of both sides. Despite their recent defeats, Auxerre's ability to score consistently keeps expectations alive for a positive result at home. Nice, on the other hand, has accrued more points in the current run, yet they produce lower expected goals per match than their hosts, at a modest 0.81.

    The model forecasts a tight affair with both teams likely to score, pegging the most likely scorelines at 1-1 and 1-0. With expected goals standing at 1.40 for Auxerre and 1.22 for Nice, there's a slight lean towards a scoreline favoring the home side, likely a narrow 1-0 or 2-1 victory. The over 2.5 goals probability of 49% suggests a fairly even split between a high- and low-scoring outcome, rather than a clear lean either way. Given both teams' balanced and physical styles, a tight, competitive encounter fits the script.

    For those seeking value, Auxerre's victory at odds of 2.55 with Betsafe, Betsson, and Nordicbet carries a slight edge, given the model's 40% win probability assessment. It's a calculated play for those who prefer a well-considered wager over chasing long shots.

    AuxerreAuxerre
    Form WWLLL
    League ranking xG #15xGA #18xT #13xP/match #15Points #18
    Key players
    • Daniel Namaso Edi-Mesumbe LoaderFxG 0.35 · xT 0.01
    • Kévin DanoisCDMxG 0.09 · xT 0.06
    • Lamine SyRWBxG 0.16 · xT 0.12
    NiceNice
    Form LDDLD
    League ranking xG #18xGA #10xT #10xP/match #18Points #15
    Key players
    • Sepe Elye Delmas WahiFxG 0.16 · xT -0.07
    • Jonathan ClaussRWxG 0.19 · xT 0.48
    • Mohamed AbdelmonemRWxG 0.07 · xT 0.21

    Match prediction: AuxerreNice

    Predicted score matrix

    Nice
    Auxerre
    0
    1
    2
    3
    4+
    0
    0–07.7%
    0–18.6%
    0–25.5%
    0–32.2%
    0–4+0.9%
    1
    1–09.8%
    1–112.8%
    1–27.6%
    1–33.1%
    1–4+1.2%
    2
    2–07.1%
    2–18.7%
    2–25.3%
    2–32.2%
    2–4+0.9%
    3
    3–03.3%
    3–14.0%
    3–22.5%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.6%
    4+–11.9%
    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. 4.0-19%
    5. 5.0-08%
    Expected goals
    1,401,22
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @1.90
    Over 2,549%
    @1.97

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Auxerre or draw (1X)67%
    • Under 3.5 goals73%

    Combined probability

    49%

    Fair odds

    2.03

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

    02 · 3 legs

    Balanced

    • Double chance Auxerre or draw (1X)67%
    • Under 2.5 goals51%
    • Lassine Fanta Mady Sinayoko to score31%

    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 goals49%
    • Lassine Fanta Mady Sinayoko to score31%
    • Salis Abdul Samed to be booked20%

    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+).

    • X · Draw32% probability@3.45PinnacleEV+9%reference odds
    • X · Draw32% probability@3.30BetsafeEV+4%reference odds
    • X · Draw32% probability@3.30BetssonEV+4%reference odds
    Bookmaker1 · AuxerreX2 · Nice
    Betsafe
    EV+ 1%
    2.55
    EV+ 4%
    3.30
    2.70
    Betsson
    EV+ 1%
    2.55
    EV+ 4%
    3.30
    2.70
    Nordicbet
    EV+ 1%
    2.55
    EV+ 4%
    3.30
    2.70
    Pinnacle
    EV+ 3%
    2.60
    EV+ 9%
    3.45
    2.76

    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 2.09 to 1.97 (−6%).

    1+5 %
    40 %35 %

    2.482.60

    X+8 %
    31 %26 %

    3.203.45

    2-7 %
    36 %31 %

    2.962.76

    Over 2,5-6 %
    50 %45 %

    2.091.97

    Pinnacle · 12 recorded price levels · 04/09/2026 → 10/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Auxerre 2Draw 1Nice 1
    Goals: 66 (⌀ 3)

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

    Key facts

    • Auxerre have lost 3 in a row.
    • Auxerre have scored in 8 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Auxerre
    Nice
    When goals are scored and conceded 2026
    Auxerre (411)
    Nice (14)
    Pass networks

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

    Auxerre
    Kévin Danois: 138 passningar, xT 0.18DanoisClément Akpa: 119 passningar, xT 0.24AkpaArthur Piedfort: 104 passningar, xT 0.04PiedfortLamine Sy: 101 passningar, xT 0.35SySinaly Diomandé: 81 passningar, xT 0.08DiomandéNaouirou Mohamed Ahamada: 76 passningar, xT 0.56AhamadaRomain Faivre: 65 passningar, xT 0.07FaivreMamadou Diop: 51 passningar, xT 0.06DiopDaniel Namaso Edi-Mesumbe Loader: 50 passningar, xT 0LoaderElikya Legros: 49 passningar, xT 0.08LegrosChrist Melik Makosso: 40 passningar, xT 0Makosso
    Nice
    Youssouf Ndayishimiye: 290 passningar, xT 0.19NdayishimiyeXavier Junior Mandza Tsiendi: 235 passningar, xT 0.18TsiendiMohamed Abdelmonem: 160 passningar, xT 0.31AbdelmonemGauthier Hein: 143 passningar, xT 0.15HeinJonathan Clauss: 122 passningar, xT 1.03ClaussYehvann Diouf: 121 passningar, xT 0.08DioufAntoine Mendy: 114 passningar, xT 0.16MendySofiane Daouda Diop: 94 passningar, xT 0.45DiopDjibril Coulibaly: 88 passningar, xT 0.01CoulibalyAxel Laurent Angel Lambert Witsel: 80 passningar, xT -0.05WitselMelvin Bard: 71 passningar, xT 0.02Bard
    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.

    Auxerre
    Kévin Danois: 138 passningar, xT 0.18DanoisClément Akpa: 119 passningar, xT 0.24AkpaArthur Piedfort: 104 passningar, xT 0.04PiedfortLamine Sy: 101 passningar, xT 0.35SySinaly Diomandé: 81 passningar, xT 0.08DiomandéNaouirou Mohamed Ahamada: 76 passningar, xT 0.56AhamadaRomain Faivre: 65 passningar, xT 0.07FaivreMamadou Diop: 51 passningar, xT 0.06DiopDaniel Namaso Edi-Mesumbe Loader: 50 passningar, xT 0LoaderElikya Legros: 49 passningar, xT 0.08LegrosChrist Melik Makosso: 40 passningar, xT 0Makosso
    Nice
    Youssouf Ndayishimiye: 290 passningar, xT 0.19NdayishimiyeXavier Junior Mandza Tsiendi: 235 passningar, xT 0.18TsiendiMohamed Abdelmonem: 160 passningar, xT 0.31AbdelmonemGauthier Hein: 143 passningar, xT 0.15HeinJonathan Clauss: 122 passningar, xT 1.03ClaussYehvann Diouf: 121 passningar, xT 0.08DioufAntoine Mendy: 114 passningar, xT 0.16MendySofiane Daouda Diop: 94 passningar, xT 0.45DiopDjibril Coulibaly: 88 passningar, xT 0.01CoulibalyAxel Laurent Angel Lambert Witsel: 80 passningar, xT -0.05WitselMelvin Bard: 71 passningar, xT 0.02Bard

    The teams in numbers

    PerformanceAuxerreNice
    Points02
    xPoints2.92.6
    xG per match1.20.81
    xGA per match2.41.5
    xG within 8s of winning the ball0.290.1
    xGA within 8s of losing the ball0.350.51
    Playing styleAuxerreNice
    Build-up efficiency0.310.28
    Field tilt0.540.68
    xT per match0.871.1
    xTA per match1.51
    Won balls, offensive half2433
    Pressing intensity0.230.24
    Pressing efficiency0.250.23
    Pressing efficiency, offensive half0.210.19
    Entries into the box per match1116
    Entries into the box against149
    Pass completion %0.770.84
    Pass completion % under pressure0.710.8
    Passes per match323567
    Passes against per match364406
    Switches of play per match25.435.1
    Long balls per match3239
    Set piecesAuxerreNice
    xG from free kicks00
    Corners per match6.16.1
    Corners against per match7.42.4
    xG per corner0.010.03
    xGA per corner against0.020.06
    First touch, offensive corners %0.530.44
    First touch, defensive corners %0.730.29
    OtherAuxerreNice
    Throw-in control0.750.8
    The goalkeepersMamadou Diop (Auxerre)Yehvann Diouf (Nice)
    Saves126
    Save %52%60%
    xG prevented26%31%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Auxerre vs Nice according to our model?

    The model gives Auxerre a 40% win probability. Full 1X2 picture: Auxerre 40%, draw 32%, Nice 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 49% and under at 51%.

    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.