Ligue 1Stade de la Meinau, Strasbourg18°8 km/h

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    StrasbourgStrasbourgLow block & direct
    vs
    MonacoMonacoLow block & direct
    The model's lean: 2 · Monaco (44%)Best value by the model: Under 2,5 @ 2.47 (+2 %)

    StrasbourgMonaco · Ligue 1

    1 · Strasbourg 30%X 26%44% Monaco · 2

    Analysis: StrasbourgMonaco

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

    The most likely outcome leans towards Monaco, possibly eking out a 2-1 victory. But for those looking at the betting markets, the under 2.5 goals at attractive odds could be an avenue worth exploring.

    Correction: the model's single most likely scoreline is actually a 1-1 draw (11%), with 1-2 (9%) and 2-1 (8%) close behind — so while Monaco is favored overall (44% vs 30%), the most probable exact scoreline is a stalemate rather than a 2-1 win.

    Strasbourg's 57% home win rate is up against Monaco's recent form, with the visitors riding a wave of three consecutive victories. This clash at the Stade de la Meinau centers around whether the hosts can leverage their home advantage to halt Monaco's momentum. While Strasbourg's historical home performance hints at resilience, the visitors' current streak suggests they might have the upper hand.

    In terms of expected goals, both teams are surprisingly matched, with Strasbourg slightly tipping the scales at 1.6 xG compared to Monaco's 1.2 xG per match. Yet, defensively, the Alsatians have shown vulnerability, conceding an average of 2.2 xGA per match. This defensive frailty might be a chink in their armor, especially against a side like Monaco, which has proven adept at capitalizing on such opportunities.

    The head-to-head record between these two is thin, with only four matches since 2022. Monaco holds a slight edge with two victories, but such a small sample size doesn't carry much weight compared to current form and expected goals. What remains clear is that both teams adopt a similar playing style, which could either nullify or amplify their respective strengths and weaknesses.

    Despite the model favoring over 2.5 goals (59%) and both teams to score (61%), there's hidden value in betting on fewer goals. The odds of 2.47 for under 2.5 goals with Betsafe, Betsson, and Nordicbet present a 2% edge according to the model. While this isn't a guarantee, the slight edge points to a potential angle for those looking to capitalize on the market's inefficiency.

    The model favors Monaco to win overall, though the most likely single scoreline is actually a 1-1 draw, with 1-2 and 2-1 close behind. For those looking at the betting markets, the under 2.5 goals at attractive odds could be an avenue worth exploring.

    StrasbourgStrasbourg
    Form WWLWW
    League ranking xG #10xGA #17xT #12xP/match #16Points #5
    Key players
    • Jacobo Ortega CondeFxG 0.27 · xT 0.08
    • Gessime YassineRWxG 0.28 · xT 0.19
    • Diogo Lobão de SousaRWxG 0.31 · xT 0.10
    MonacoMonaco
    Form LLWWW
    League ranking xG #16xGA #11xT #15xP/match #8Points #1
    Key players
    • Lamine CamaraCMxG 0.01 · xT -0.01
    • Paris BrunnerFxG 0.71 · xT -0.06
    • Stanis IdumboLWxG 0.29 · xT 0.07

    Match prediction: StrasbourgMonaco

    Predicted score matrix

    Monaco
    Strasbourg
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–17.2%
    0–26.0%
    0–33.2%
    0–4+1.8%
    1
    1–06.6%
    1–111.3%
    1–28.8%
    1–34.7%
    1–4+2.7%
    2
    2–05.0%
    2–18.0%
    2–26.4%
    2–33.4%
    2–4+1.9%
    3
    3–02.4%
    3–13.9%
    3–23.1%
    3–31.6%
    3–4+0.9%
    4+
    4+–01.2%
    4+–11.9%
    4+–21.6%
    4+–30.8%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-07%
    Expected goals
    1,451,60
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.47EV+2%
    Over 2,559%
    @1.56

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Monaco or draw (X2)65%
    • Over 1.5 goals81%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Double chance Monaco or draw (X2)65%
    • Over 2.5 goals59%
    • Maghnes Akliouche to score25%

    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 score61%
    • Over 2.5 goals59%
    • Maghnes Akliouche to score25%
    • Aladji Bamba 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 2.541% probability@2.47BetsafeEV+2%reference odds
    • Under 2.541% probability@2.47BetssonEV+2%reference odds
    • Under 2.541% probability@2.47NordicbetEV+2%reference odds
    Bookmaker1 · StrasbourgX2 · Monaco
    Betsafe3.203.602.12
    Betsson3.203.602.12
    Nordicbet3.203.602.12
    Pinnacle3.133.762.21

    Odds updated 7 Sept, 16:17

    Odds movement

    1-1 %
    33 %28 %

    3.163.13

    X+3 %
    28 %23 %

    3.663.76

    2+3 %
    46 %41 %

    2.152.21

    Pinnacle · 3 recorded price levels · 04/09/2026 → 07/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Strasbourg 1Draw 1Monaco 2
    Goals: 810 (⌀ 4,5)

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

    Key facts

    • Monaco come into this round on 3 straight wins.
    • Strasbourg win 57% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Strasbourg
    Monaco
    When goals are scored and conceded 2026
    Strasbourg (87)
    Monaco (51)
    Pass networks

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

    Strasbourg
    Pape Demba Diop: 135 passningar, xT -0.09DiopJeyland Yahir Mitchell Baltodano: 128 passningar, xT 0.14BaltodanoFilip Jørgensen: 121 passningar, xT 0.12JørgensenLucas Høgsberg: 96 passningar, xT 0.14HøgsbergAndrew Omobamidele: 90 passningar, xT 0.05OmobamideleGenesis Antwi: 89 passningar, xT 0.1AntwiAlgot Sebastian Nanasi: 65 passningar, xT 0.56NanasiGessime Yassine: 61 passningar, xT 0.5YassineDiogo Lobão de Sousa: 60 passningar, xT 0.21SousaGiovanni Alejandro Reyna: 60 passningar, xT 0.2ReynaIsmaël Landry Doukouré: 47 passningar, xT 0.04Doukouré
    Monaco
    Lamine Camara: 149 passningar, xT -0.01CamaraSadibou Sané: 112 passningar, xT 0.16SanéEric Dier: 112 passningar, xT 0.15DierFlávio Basilua Jacinto Nazinho: 99 passningar, xT 0.19NazinhoVanderson de Oliveira Campos: 97 passningar, xT 0.23CamposDenis Zakaria: 84 passningar, xT 0.03ZakariaMamadou Coulibaly: 71 passningar, xT 0.13CoulibalyLukas Hradecky: 68 passningar, xT 0.11HradeckyStanis Idumbo: 57 passningar, xT 0.17IdumboAleksandr Golovin: 51 passningar, xT 0.48GolovinParis Brunner: 25 passningar, xT -0.08Brunner
    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.

    Strasbourg
    Pape Demba Diop: 135 passningar, xT -0.09DiopJeyland Yahir Mitchell Baltodano: 128 passningar, xT 0.14BaltodanoFilip Jørgensen: 121 passningar, xT 0.12JørgensenLucas Høgsberg: 96 passningar, xT 0.14HøgsbergAndrew Omobamidele: 90 passningar, xT 0.05OmobamideleGenesis Antwi: 89 passningar, xT 0.1AntwiAlgot Sebastian Nanasi: 65 passningar, xT 0.56NanasiGessime Yassine: 61 passningar, xT 0.5YassineDiogo Lobão de Sousa: 60 passningar, xT 0.21SousaGiovanni Alejandro Reyna: 60 passningar, xT 0.2ReynaIsmaël Landry Doukouré: 47 passningar, xT 0.04Doukouré
    Monaco
    Lamine Camara: 149 passningar, xT -0.01CamaraSadibou Sané: 112 passningar, xT 0.16SanéEric Dier: 112 passningar, xT 0.15DierFlávio Basilua Jacinto Nazinho: 99 passningar, xT 0.19NazinhoVanderson de Oliveira Campos: 97 passningar, xT 0.23CamposDenis Zakaria: 84 passningar, xT 0.03ZakariaMamadou Coulibaly: 71 passningar, xT 0.13CoulibalyLukas Hradecky: 68 passningar, xT 0.11HradeckyStanis Idumbo: 57 passningar, xT 0.17IdumboAleksandr Golovin: 51 passningar, xT 0.48GolovinParis Brunner: 25 passningar, xT -0.08Brunner

    The teams in numbers

    PerformanceStrasbourgMonaco
    Points69
    xPoints2.84.3
    xG per match1.61.2
    xGA per match2.21.6
    xG within 8s of winning the ball0.310.17
    xGA within 8s of losing the ball0.410.19
    Playing styleStrasbourgMonaco
    Build-up efficiency0.290.3
    Field tilt0.410.3
    xT per match0.930.73
    xTA per match1.31.2
    Won balls, offensive half1927
    Pressing intensity0.230.24
    Pressing efficiency0.250.23
    Pressing efficiency, offensive half0.220.19
    Entries into the box per match1511
    Entries into the box against1616
    Pass completion %0.810.78
    Pass completion % under pressure0.790.71
    Passes per match370321
    Passes against per match430542
    Switches of play per match19.421.2
    Long balls per match2431
    Set piecesStrasbourgMonaco
    xG from free kicks0.020.1
    Corners per match2.33
    Corners against per match6.66.7
    xG per corner0.010.02
    xGA per corner against0.010.03
    First touch, offensive corners %0.430.33
    First touch, defensive corners %0.450.8
    OtherStrasbourgMonaco
    Throw-in control0.750.68
    The goalkeepersFilip Jørgensen (Strasbourg)Lukas Hradecky (Monaco)
    Saves1414
    Save %67%93%
    xG prevented27%76%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Strasbourg vs Monaco according to our model?

    The model gives Monaco a 44% win probability. Full 1X2 picture: Strasbourg 30%, draw 26%, Monaco 44%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.