Ligue 2Nouste Camp, Pau20°0,4 mm15 km/h

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    PauPau
    vs
    NancyNancy
    The model's lean: 1 · Pau (47%)

    PauNancy · Ligue 2

    1 · Pau 47%X 28%25% Nancy · 2

    Analysis: PauNancy

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

    47% — that's the number that leaps off the page when we assess this clash between Pau FC and Nancy. The model gives Pau FC a clear edge in terms of victory probability, pointing to them as the likely victors in this Ligue 2 showdown. With two matches in the head-to-head record since 2023, Nancy might feel they have the upper hand with a win and a draw, but the sample is small and doesn't outweigh the current form and expected goals.

    Pau FC is aiming to leverage the model's expectations, with an anticipated 1.61 expected goals compared to Nancy's modest 1.05. This suggests a tight contest, with Pau FC having the better chance to edge it, particularly in front of their home fans. The most likely scorelines further underline this point: a 1-1 draw holds at 12%, while a 1-0 victory for Pau FC isn't far behind at 11%. Given these figures, expecting a narrow home win seems quite reasonable.

    Nancy, with a 25% chance of victory, will have to pull out all the stops to defy the odds stacked against them. The 50% probability of over 2.5 goals and a 52% chance of both teams scoring suggest a match that could tilt either way in terms of goals. But the absence of any disruptive weather means the scoring likelihood remains stable, with no hidden meteorological variables to muddy the waters.

    Nancy's slight psychological advantage from their head-to-head record is overshadowed by a more pressing reality: Pau FC's 47% chance of victory offers tantalizing value for punters. At odds of 2.29 with Pinnacle, 2.25 with Betsafe, and 2.25 with Betsson, the home side presents a clear betting opportunity, boasting a 7% edge at Pinnacle and a 5% edge with Betsafe and Betsson. The sharpest angle? Betting on Pau FC to secure a home win with those enticing odds.

    PauPau
    Form LLLLW
    Key players
    • Joseph KaluluLWBxG 0.01 · xT 0.09
    • Axel BambaCBxG 0.02 · xT 0.06
    • Axel DodoteCBxG 0.00 · xT 0.14
    NancyNancy
    Form DWWDL
    Key players
    • Brandon BokangouFxG 0.33 · xT 0.00
    • Zakaria FdaouchLWxG 0.14 · xT 0.07
    • Ilyes HousniRWxG 0.07 · xT 0.08

    Match prediction: PauNancy

    Predicted score matrix

    Nancy
    Pau
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–17.0%
    0–23.9%
    0–31.4%
    0–4+0.4%
    1
    1–010.9%
    1–112.2%
    1–26.2%
    1–32.2%
    1–4+0.7%
    2
    2–09.0%
    2–19.5%
    2–25.0%
    2–31.8%
    2–4+0.6%
    3
    3–04.8%
    3–15.1%
    3–22.7%
    3–30.9%
    3–4+0.3%
    4+
    4+–02.8%
    4+–12.9%
    4+–21.5%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,611,05
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.00EV+1%
    Over 2,550%
    @1.85

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    01 · 2 legs

    Safe

    • Pau to win47%
    • Under 3.5 goals72%

    Combined probability

    34%

    Fair odds

    2.92

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

    02 · 3 legs

    Balanced

    • Pau to win47%
    • Under 2.5 goals50%
    • Giovani Versini to score33%

    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 score52%
    • Over 2.5 goals50%
    • Giovani Versini to score33%
    • Kouroufia Kebe 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+).

    • 1 · Pau47% probability@2.29PinnacleEV+7%reference odds
    • 1 · Pau47% probability@2.18BetsafeEV+2%reference odds
    • 1 · Pau47% probability@2.18BetssonEV+2%reference odds
    Bookmaker1 · PauX2 · Nancy
    Betsafe
    EV+ 2%
    2.18
    3.203.10
    Betsson
    EV+ 2%
    2.18
    3.203.10
    Nordicbet
    EV+ 2%
    2.18
    3.203.10
    Pinnacle
    EV+ 7%
    2.29
    3.403.04

    Odds updated 17 Aug, 17:35

    Statistics

    Head-to-head

    2 matches
    Pau 0Draw 1Nancy 1
    Goals: 35 (⌀ 4)

    Head-to-head based on Ligue 2 data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Pau
    Nancy
    When goals are scored and conceded 2026
    Pau (11)
    Nancy (01)
    Pass networks

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

    Pau
    Gaëtan Paquiez: 119 passningar, xT 0.46PaquiezAxel Dodote: 112 passningar, xT 0.26DodoteAxel Bamba: 99 passningar, xT 0.1BambaTom Pouilly: 94 passningar, xT 0.28PouillyJessy Benet: 69 passningar, xT 0.1BenetJoseph Kalulu: 69 passningar, xT 0.1KaluluBrice Maubleu: 51 passningar, xT 0MaubleuCheikh Fall: 36 passningar, xT 0.02FallMathys Tourraine: 32 passningar, xT -0.03TourraineGiovani Versini: 28 passningar, xT 0.42VersiniLorenzo Rajot: 22 passningar, xT 0.34Rajot
    Nancy
    Nehemiah Fernandez-Veliz: 124 passningar, xT 0.27Fernandez-VelizElydjah Mendy: 95 passningar, xT 0.12MendyEnzo Tacafred: 69 passningar, xT 0.06TacafredEnzo Basilio: 58 passningar, xT 0.05BasilioWalid Bouabdelli: 57 passningar, xT -0.39BouabdelliKouroufia Kebe: 53 passningar, xT 0.53KebeZakaria Fdaouch: 46 passningar, xT 0.12FdaouchIlyes Housni: 45 passningar, xT 0.16HousniJérémy Pierre Sincère Gélin: 42 passningar, xT 0.04GélinLogan Yves Ndenbe: 41 passningar, xT 0.02NdenbeMamadou Fofana: 30 passningar, xT 0.26Fofana
    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.

    Pau
    Gaëtan Paquiez: 119 passningar, xT 0.46PaquiezAxel Dodote: 112 passningar, xT 0.26DodoteAxel Bamba: 99 passningar, xT 0.1BambaTom Pouilly: 94 passningar, xT 0.28PouillyJessy Benet: 69 passningar, xT 0.1BenetJoseph Kalulu: 69 passningar, xT 0.1KaluluBrice Maubleu: 51 passningar, xT 0MaubleuCheikh Fall: 36 passningar, xT 0.02FallMathys Tourraine: 32 passningar, xT -0.03TourraineGiovani Versini: 28 passningar, xT 0.42VersiniLorenzo Rajot: 22 passningar, xT 0.34Rajot
    Nancy
    Nehemiah Fernandez-Veliz: 124 passningar, xT 0.27Fernandez-VelizElydjah Mendy: 95 passningar, xT 0.12MendyEnzo Tacafred: 69 passningar, xT 0.06TacafredEnzo Basilio: 58 passningar, xT 0.05BasilioWalid Bouabdelli: 57 passningar, xT -0.39BouabdelliKouroufia Kebe: 53 passningar, xT 0.53KebeZakaria Fdaouch: 46 passningar, xT 0.12FdaouchIlyes Housni: 45 passningar, xT 0.16HousniJérémy Pierre Sincère Gélin: 42 passningar, xT 0.04GélinLogan Yves Ndenbe: 41 passningar, xT 0.02NdenbeMamadou Fofana: 30 passningar, xT 0.26Fofana
    The goalkeepersBrice Maubleu (Pau)Enzo Basilio (Nancy)
    Saves134
    Save %93%80%
    xG prevented85%57%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Pau vs Nancy according to our model?

    The model gives Pau a 47% win probability. Full 1X2 picture: Pau 47%, draw 28%, Nancy 25%.

    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 52% 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.