Ligue 1Stade de la Meinau, Strasbourg13°2,2 mm15 km/h

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    StrasbourgStrasbourgBalanced & physical
    1–3
    Paris Saint-GermainParis Saint-GermainPossession & high press
    The model's lean: 2 · Paris Saint-Germain (73%)Best value by the model: Over 3,5 @ 1.89 (+4 %)

    Strasbourg vs Paris Saint-Germain · Ligue 1

    1 · Strasbourg 12%X 16%73% Paris Saint-Germain · 2

    Prediction summary

    Final score 1–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Strasbourg vs Paris Saint-Germain (Ligue 1, Saturday, 17 October 2026): Strasbourg win 12%, draw 16%, Paris Saint-Germain win 73%. Expected goals (xG): Strasbourg 1.12, Paris Saint-Germain 2.80. Most likely score: 1-2 (9%). Over 2.5 goals 75%, both teams to score 64%. Double chance: Strasbourg or draw 27%, Paris Saint-Germain or draw 88%. Prediction updated Friday, 9 October 2026.

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    Analysis: Strasbourg – Paris Saint-Germain

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: Paris Saint-Germain's 73% win probability against Strasbourg highlights a stark contrast in team form and expectations. The visitors have not only claimed three consecutive victories but also found the back of the net in 26 straight league games, underscoring their attacking prowess. With expected goals tipping heavily in PSG's favor at 2.80 compared to Strasbourg's 1.12, the numbers suggest a decisive away win is likely. However, there is an intriguing element: Strasbourg's decent home record, winning 56% of their matches in their own backyard.

    The small head-to-head sample since 2022, where Strasbourg managed one win and one draw but also suffered two losses in four encounters, offers only a modest glimmer of hope for the home side. Yet, it pales in comparison to the broader dominance shown by PSG in league form and metrics. The visitors' high press and possession style will likely impose control, dictating the rhythm and limiting Strasbourg's physical approach. With both teams expected to score at a 64% probability, the hosts may find some joy, though not enough to tip the balance.

    Weather conditions with rain might influence the goal count slightly, but these have already been factored into the model's 75% probability for over 2.5 goals. The most probable scorelines — 1-2, 1-3, and 0-2 — all favor PSG, aligning with this narrative of a high-scoring affair where the Parisians come out on top.

    For bettors, the standout value lies in backing PSG at odds of 1.4 with LeoVegas, which edges out the model's estimation by 2%. Additionally, the over 3.5 goals market holds a slight advantage at odds of 1.833, as the model rates this outcome at 55%. These propositions offer the sharpest angles in a match where PSG's attack should prove too much for Strasbourg to handle.

    StrasbourgStrasbourg
    Form WWDLL
    League ranking xG #16xGA #12xT #16xP/match #18Points #12
    Key players
    • Ismaël Landry DoukouréCBxG 0.03 · xT 0.02
    • Gessime YassineRWxG 0.17 · xT 0.16
    • Jeyland Yahir Mitchell BaltodanoCBxG 0.05 · xT 0.05
    Paris Saint-GermainParis Saint-Germain
    Form DLWWW
    League ranking xG #1xGA #2xT #1xP/match #3Points #6
    Key players
    • Achraf HakimiRWBxG 0.25 · xT 0.16
    • Khvicha KvaratskheliaLWxG 0.40 · xT 0.23
    • Marcos Aoás CorrêaCBxG 0.30 · xT 0.18
    Final score
    1 – 3
    The model called the outcome
    Predicted probabilities: Strasbourg 12% · Draw 16% · Paris Saint-Germain 73%

    Match prediction: Strasbourg – Paris Saint-Germain

    Predicted score matrix

    Paris Saint-Germain →
    Strasbourg →
    0
    1
    2
    3
    4+
    0
    0–02.2%
    0–15.4%
    0–27.8%
    0–37.2%
    0–4+10.0%
    1
    1–02.0%
    1–16.4%
    1–28.7%
    1–38.1%
    1–4+11.2%
    2
    2–01.3%
    2–13.5%
    2–24.9%
    2–34.6%
    2–4+6.3%
    3
    3–00.5%
    3–11.3%
    3–21.8%
    3–31.7%
    3–4+2.4%
    4+
    4+–00.2%
    4+–10.5%
    4+–20.7%
    4+–30.6%
    4+–4+0.8%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-29%
    2. 2.1-38%
    3. 3.0-28%
    4. 4.0-37%
    5. 5.1-16%
    Expected goals
    1,12–2,80
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,9
    Under 2,525%
    @3.20
    Over 2,575%
    @1.33

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Paris Saint-Germain to win73%
    • Over 1.5 goals90%

    Combined probability

    66%

    Fair odds

    1.51

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

    02 · 3 legs

    Balanced

    • Paris Saint-Germain to win73%
    • Over 2.5 goals75%
    • Khvicha Kvaratskhelia 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 score64%
    • Over 2.5 goals75%
    • Khvicha Kvaratskhelia to score25%
    • Pape Demba Diop to be booked21%

    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+).

    • Over 3.555% probability@1.89PinnacleEV+4%reference odds
    • Over 4.536% probability@2.88LeoVegasEV+2%reference odds
    • Over 3.555% probability@1.85LeoVegasEV+2%reference odds
    Bookmaker1 · StrasbourgX2 · Paris Saint-Germain
    LeoVegas6.505.50
    EV+ 2%
    1.40
    Pinnacle6.705.60
    EV+ 2%
    1.40

    Odds updated 17 Oct, 13:38

    Odds movement

    1+2 %
    17 %12 %

    6.55 → 6.70

    X+2 %
    20 %15 %

    5.51 → 5.60

    2-1 %
    71 %66 %

    1.41 → 1.40

    Pinnacle · 13 recorded price levels · 15/10/2026 → 17/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Strasbourg 1Draw 1Paris Saint-Germain 2
    Goals: 8–10 (⌀ 4,5)

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

    Key facts

    • Paris Saint-Germain come into this round on 3 straight wins.
    • Paris Saint-Germain have scored in 26 consecutive league matches.
    • Strasbourg win 56% of their home matches all-time (36 played).
    xG & xGA per match — 3-game rolling average

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

    Strasbourg
    Paris Saint-Germain
    When goals are scored and conceded — 2026
    Strasbourg (11–12)
    Paris Saint-Germain (11–8)
    Pass networks

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

    Strasbourg
    Jeyland Yahir Mitchell Baltodano: 300 passningar, xT 0.29BaltodanoPape Demba Diop: 267 passningar, xT 0.04DiopFilip Jørgensen: 212 passningar, xT 0.07JørgensenGenesis Antwi: 200 passningar, xT 0.18AntwiJoaquín Martínez Gauna: 180 passningar, xT 0.35GaunaIsmaël Landry Doukouré: 144 passningar, xT 0.08DoukouréDiogo Lobão de Sousa: 120 passningar, xT 0.14SousaGiovanni Alejandro Reyna: 115 passningar, xT 0.18ReynaSebastian Nanasi: 104 passningar, xT 0.97NanasiGessime Yassine: 96 passningar, xT 0.82YassineKarim Coulibaly: 82 passningar, xT 0.08Coulibaly
    Paris Saint-Germain
    Vítor Machado Ferreira: 406 passningar, xT 0.99FerreiraMarcos Aoás Corrêa: 302 passningar, xT 0.53CorrêaWarren Zaïre-Emery: 295 passningar, xT 0.26Zaïre-EmeryWillian Pacho: 248 passningar, xT 0.05PachoAchraf Hakimi: 245 passningar, xT 0.2HakimiFabian Ruiz: 212 passningar, xT 0.48RuizJoao Neves: 211 passningar, xT -0.15NevesMaghnes Akliouche: 181 passningar, xT 0.47AklioucheKhvicha Kvaratskhelia: 143 passningar, xT 0.32KvaratskheliaDesire Doue: 127 passningar, xT 1.1DoueNuno Mendes: 126 passningar, xT 1.22Mendes
    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
    Jeyland Yahir Mitchell Baltodano: 300 passningar, xT 0.29BaltodanoPape Demba Diop: 267 passningar, xT 0.04DiopFilip Jørgensen: 212 passningar, xT 0.07JørgensenGenesis Antwi: 200 passningar, xT 0.18AntwiJoaquín Martínez Gauna: 180 passningar, xT 0.35GaunaIsmaël Landry Doukouré: 144 passningar, xT 0.08DoukouréDiogo Lobão de Sousa: 120 passningar, xT 0.14SousaGiovanni Alejandro Reyna: 115 passningar, xT 0.18ReynaSebastian Nanasi: 104 passningar, xT 0.97NanasiGessime Yassine: 96 passningar, xT 0.82YassineKarim Coulibaly: 82 passningar, xT 0.08Coulibaly
    Paris Saint-Germain
    Vítor Machado Ferreira: 406 passningar, xT 0.99FerreiraMarcos Aoás Corrêa: 302 passningar, xT 0.53CorrêaWarren Zaïre-Emery: 295 passningar, xT 0.26Zaïre-EmeryWillian Pacho: 248 passningar, xT 0.05PachoAchraf Hakimi: 245 passningar, xT 0.2HakimiFabian Ruiz: 212 passningar, xT 0.48RuizJoao Neves: 211 passningar, xT -0.15NevesMaghnes Akliouche: 181 passningar, xT 0.47AklioucheKhvicha Kvaratskhelia: 143 passningar, xT 0.32KvaratskheliaDesire Doue: 127 passningar, xT 1.1DoueNuno Mendes: 126 passningar, xT 1.22Mendes

    The teams in numbers

    PerformanceStrasbourgParis Saint-Germain
    Points711
    xPoints6.310.4
    xG per match1.12.4
    xGA per match1.70.98
    xG within 8s of winning the ball0.20.39
    xGA within 8s of losing the ball0.30.29
    Playing styleStrasbourgParis Saint-Germain
    Build-up efficiency0.290.34
    Field tilt0.440.79
    xT per match0.771.6
    xTA per match1.20.74
    Won balls, offensive half1929
    Pressing intensity0.230.22
    Pressing efficiency0.240.3
    Pressing efficiency, offensive half0.20.24
    Entries into the box per match1220
    Entries into the box against158
    Pass completion %0.810.86
    Pass completion % under pressure0.770.8
    Passes per match400648
    Passes against per match448286
    Switches of play per match20.756.1
    Long balls per match2455
    Set piecesStrasbourgParis Saint-Germain
    xG from free kicks0.020.12
    Corners per match25.7
    Corners against per match5.31.7
    xG per corner0.040.02
    xGA per corner against0.010.08
    First touch, offensive corners %0.420.65
    First touch, defensive corners %0.440.6
    OtherStrasbourgParis Saint-Germain
    Throw-in control0.760.75
    The goalkeepersFilip Jørgensen (Strasbourg)Matvey Safonov (Paris Saint-Germain)
    Saves2513
    Save %69%62%
    xG prevented42%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Strasbourg vs Paris Saint-Germain according to our model?

    The model gives Paris Saint-Germain a 73% win probability. Full 1X2 picture: Strasbourg 12%, draw 16%, Paris Saint-Germain 73%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 75% and under at 25%.

    Will both teams score?

    The probability of both teams scoring is 64% according to the model.

    How many goals are expected in Strasbourg vs Paris Saint-Germain?

    The model expects 1.12 goals (xG) for Strasbourg and 2.80 for Paris Saint-Germain, 3.92 in total.

    What does the model say about double chance?

    Strasbourg or draw (1X) 27%, Paris Saint-Germain or draw (X2) 88% and no draw (12) 84%.

    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.