Ligue 2: Predictions, Odds & Tips

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    Model-based predictions for Ligue 2 — every fixture in Ligue 2 is analysed by the same match model that powers PlaymakerAI. Ahead of each round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines.

    The predictions are held against live odds, with positive expected value (EV+) flagged where the model's probability beats the implied odds. Played matches are graded openly — hit or miss.

    Upcoming matches

    BoulogneBoulogne
    vs
    NantesNantes
    1 24%X 30%2 46%
    MetzMetz
    vs
    Saint-ÉtienneSaint-Étienne
    1 28%X 26%2 46%
    Soft draw
    GuingampGuingamp
    vs
    Red StarRed Star
    1 38%X 27%2 35%

    League table2025/26

    New season with no matches played yet — the table shows the most recently completed season until the rounds get going.

    PosTeamPSW–D–LGF–GAxPxGxGAxGDFTStyle
    1Troyes673420–7–760–3353,547,631,3+16,361 %Possession & high press
    2Le Mans623416–14–450–3157,351,733,0+18,749 %Possession control
    3Rodez623616–14–648–4157,647,250,0−2,836 %Low block & direct
    4Saint-Étienne613518–7–1059–3845,648,339,9+8,463 %Possession & high press
    5Reims563414–14–653–3547,145,934,0+11,964 %Possession control
    6Red Star533414–11–945–3947,939,433,7+5,752 %Possession control
    7Annecy513315–6–1247–3751,838,632,3+6,351 %Possession control
    8Montpellier513414–9–1141–3145,944,941,5+3,450 %Possession control
    9Pau453312–9–1247–6045,739,939,90,052 %Possession control
    10Dunkerque403310–10–1349–4439,739,638,3+1,356 %Possession control
    11Guingamp403410–10–1442–4949,549,040,5+8,555 %Possession control
    12Grenoble39348–15–1133–3943,235,047,3−12,340 %Low block & direct
    13Clermont37349–10–1538–4439,333,345,2−11,941 %Balanced & physical
    14Nancy37339–10–1434–5045,435,341,2−5,943 %Low block & direct
    15Laval31336–13–1428–4640,135,046,2−11,245 %Balanced & physical
    16Bastia30345–15–1423–3851,837,432,3+5,149 %Possession control
    17Boulogne30327–9–1631–4839,329,439,0−9,647 %Possession control
    18Amiens24336–6–2136–6130,529,760,7−31,040 %Possession control
    19AC Ajaccio110–1–00–00,30,01,1−1,10 %Low block & direct

    Latest articles

    All articles
    Alma and Hulda prefer surprises with a rating of 8 out of 9

    2026-09-08 · 4 min

    Alma and Hulda prefer surprises with a rating of 8 out of 9

    The article analyzes five football matches where statistics such as xG, possession, and pressing deviate from what the odds on the betting slip suggest, focusing on Fenerbahce–Roma, Sochaux–Nantes, and AZ Alkmaar–Willem II as examples. Throughout, it is argued that the market often undervalues even matches or teams that hold their own despite being at a disadvantage, which provides value in the odds even though the numbers point to a clear favorite.

    Ellen's Surprises: value bets late summer 18/8

    2026-08-18 · 3 min

    Ellen's Surprises: value bets late summer 18/8

    The article presents five matches ahead of a football round where the writer identifies odds value by analyzing underlying statistics such as expected goals, goal threat, and playing style rather than relying on the odds line. Among the examples, KAA Gent–Hibernian (2 @ 5.00), Universitatea Craiova–FC Ararat-Armenia (2 @ 6.25), and MVV Maastricht–FC Volendam (1 @ 3.95) are highlighted as matches where the numbers point to surprising outcomes.

    Oscar Nilsson tips 6/8: upsets with value

    2026-08-06 · 3 min

    Oscar Nilsson tips 6/8: upsets with value

    The article presents three betting tips where an analysis model has identified value that the market's odds do not fully reflect: Wolfsburg–Kaiserslautern (2 @ 4.79), Vojvodina–Radnik Surdulica (2 @ 8.50), and Sochaux–Saint-Etienne (1 @ 3.61). The columnist justifies the choices with statistical probability versus odds as well as the teams' form, particularly away and at home respectively.

    Played matches

    Prediction track record
    LavalLaval
    1–1
    SochauxSochaux
    1 53%X 27%2 20%
    The model missed the outcome
    RodezRodez
    3–4
    NancyNancy
    1 53%X 24%2 22%
    The model missed the outcome
    AnnecyAnnecy
    1–2
    DijonDijon
    1 50%X 29%2 21%
    The model missed the outcome
    ReimsReims
    1–1
    MontpellierMontpellier
    1 42%X 28%2 30%
    The model missed the outcome
    GrenobleGrenoble
    1–1
    ClermontClermont
    1 34%X 33%2 32%
    The model missed the outcome
    PauPau
    2–0
    DunkerqueDunkerque
    1 39%X 27%2 34%
    The model called the outcome
    GuingampGuingamp
    2–1
    AnnecyAnnecy
    1 40%X 29%2 31%
    The model called the outcome
    DunkerqueDunkerque
    2–1
    Saint-ÉtienneSaint-Étienne
    1 27%X 27%2 46%
    The model missed the outcome
    SochauxSochaux
    1–0
    NantesNantes
    1 38%X 29%2 33%
    The model called the outcome
    RodezRodez
    0–1
    GrenobleGrenoble
    1 54%X 28%2 18%
    The model missed the outcome
    ClermontClermont
    0–0
    BoulogneBoulogne
    1 40%X 29%2 31%
    The model missed the outcome
    Red StarRed Star
    1–0
    MetzMetz
    1 51%X 28%2 21%
    The model called the outcome

    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

    Ligue 2 FAQ

    Where do I find Ligue 2 predictions?

    Right here: every match in Ligue 2 has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.

    How are the Ligue 2 predictions made?

    Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.

    What is the xP table?

    xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which Ligue 2 teams are over- and underrated right now.

    Which teams play in Ligue 2 2025/26?

    Ligue 2 2025/26 has 19 teams: Troyes, Le Mans, Rodez, Saint-Étienne, Reims, Red Star, Annecy, Montpellier, Pau, Dunkerque, Guingamp, Grenoble, Clermont, Nancy, Laval, Bastia, Boulogne, Amiens, AC Ajaccio.

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.