Europa League12°2,1 mm17 km/h

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    Sturm GrazSturm GrazLow block & direct
    vs
    MarseilleMarseilleBalanced & physical
    The model's lean: 1 · Sturm Graz (42%)

    Sturm Graz vs Marseille · Europa League

    1 · Sturm Graz 42%X 25%33% Marseille · 2

    Prediction summary

    BetBuilders AI model prediction for Sturm Graz vs Marseille (Europa League, Thursday, 22 October 2026): Sturm Graz win 42%, draw 25%, Marseille win 33%. Expected goals (xG): Sturm Graz 1.54, Marseille 1.36. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 59%. Double chance: Sturm Graz or draw 67%, Marseille or draw 58%. Prediction updated Wednesday, 14 October 2026.

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    Analysis: Sturm Graz – Marseille

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

    Sturm Graz enters this Europa League clash against Marseille with a slight edge according to the model, offering intriguing value for the home side. Graz is given a 42% chance of securing a victory, a stark contrast to the 33% allotted to the visitors. The bookmakers seem to have overlooked this, with odds of 3.45 at Betsafe and Nordicbet showing a clear value play. This discrepancy invites a closer examination of what might play out on the pitch.

    Sturm Graz's approach is low on defense but direct in execution, promising a physical matchup against Marseille's balanced style. Expect the hosts to play incisively, bypassing midfield battles. Despite a modest xPoints advantage for the French side, the hosts hold the upper hand in actual points. This suggests that while Marseille might look better on paper with superior expected goals per match and fewer expected goals against, Graz's pragmatic style could counterbalance their theoretical strengths.

    The most likely scorelines of 1-1 and 2-1 reinforce a tight contest, with expected goals closely matched at 1.54 for Graz and 1.36 for Marseille. Weather conditions, specifically the forecasted 11.8 mm of rain, could hamper fluid play and lean towards a more conservative scoreline. The rain is already factored into the model, contributing to the expected undercurrent of caution.

    With over 2.5 goals predicted at 55%, there's no strong conviction leaning either way on total goals, but the model does lean towards both teams finding the net at 59%. However, the standout angle remains the value on a home win. Odds of 3.45 with Betsafe and Nordicbet are particularly tempting, given the 42% model probability for a home triumph. It's a classic case of market mispricing waiting to be exploited.

    Sturm GrazSturm Graz
    Form LLWDL
    League ranking xG #53xGA #53xT #57xP/match #53Points #35
    Key players
    • Tomi HorvatRWxG 0.17 · xT 0.10
    • Otar KiteishviliCAMxG 0.17 · xT 0.14
    • Tochi ChukwuaniCMxG 0.10 · xT 0.05
    MarseilleMarseille
    Form LL
    League ranking xG #49xGA #24xT #43xP/match #39Points #46
    Key players
    • Amine HaritRWxG 0.09 · xT 0.13
    • Geoffrey Edwin KondogbiaCBxG 0.00 · xT 0.05
    • Amine Ferid GouiriFxG 0.52 · xT 0.13
    • Numbers from Ligue 1 2026

    Match prediction: Sturm Graz – Marseille

    Predicted score matrix

    Marseille →
    Sturm Graz →
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–17.1%
    0–25.1%
    0–32.3%
    0–4+1.1%
    1
    1–08.1%
    1–111.9%
    1–27.9%
    1–33.6%
    1–4+1.6%
    2
    2–06.5%
    2–18.9%
    2–26.0%
    2–32.7%
    2–4+1.3%
    3
    3–03.3%
    3–14.5%
    3–23.1%
    3–31.4%
    3–4+0.6%
    4+
    4+–01.8%
    4+–12.5%
    4+–21.7%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-17%
    Expected goals
    1,54–1,36
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.21
    Over 2,555%
    @1.69

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Sturm Graz or draw (1X)67%
    • Over 1.5 goals79%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Sturm Graz or draw (1X)67%
    • Over 2.5 goals55%
    • Jacob Peter Hödl to score18%

    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 score59%
    • Over 2.5 goals55%
    • Keyliane Hikram Abdallah to score21%
    • Tochukwu Nnadi 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+).

    • 1 · Sturm Graz42% probability@3.81PinnacleEV+61%reference odds
    • 1 · Sturm Graz42% probability@3.70BetsafeEV+56%reference odds
    • 1 · Sturm Graz42% probability@3.70NordicbetEV+56%reference odds
    Bookmaker1 · Sturm GrazX2 · Marseille
    Betsafe
    EV+ 56%
    3.70
    3.651.98
    LeoVegas
    EV+ 50%
    3.55
    3.601.95
    Nordicbet
    EV+ 56%
    3.70
    3.651.98
    Pinnacle
    EV+ 61%
    3.81
    3.741.96

    Odds updated 22 Oct, 08:36

    Odds movement

    1+7 %
    28 %23 %

    3.56 → 3.81

    X+2 %
    28 %23 %

    3.65 → 3.74

    2-2 %
    51 %46 %

    2.00 → 1.96

    Over 2,50 %
    59 %54 %

    1.69 → 1.69

    Pinnacle · 8 recorded price levels · 20/10/2026 → 22/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Sturm Graz
    Marseille
    When goals are scored and conceded — 2026
    Sturm Graz (0–3)
    Marseille (1–5)
    Pass networks

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

    Sturm Graz
    Joshua Quarshie: 51 passningar, xT 0.01QuarshieJürgen Heil: 45 passningar, xT 0.14HeilValmir Matoshi: 39 passningar, xT 0.02MatoshiArjan Malic: 36 passningar, xT 0.04MalicDaniil Khudyakov: 33 passningar, xT 0.02KhudyakovLuís Francisco Balbo Vieira: 30 passningar, xT 0.03VieiraSimon Seidl: 25 passningar, xT 0SeidlJon Gorenc Stankovic: 25 passningar, xT 0.04StankovicJacob Peter Hödl: 24 passningar, xT -0.01HödlPaul Koller: 19 passningar, xT 0.02KollerAlbert Vallci: 18 passningar, xT 0.02Vallci
    Marseille
    Timothy Weah: 91 passningar, xT 0.13WeahJeffrey de Lange: 91 passningar, xT 0.04LangeHimad Said Abdelli: 91 passningar, xT -0.02AbdelliNayef Aguerd: 87 passningar, xT -0.01AguerdBamo Meite: 60 passningar, xT 0.05MeiteAngel Gomes: 58 passningar, xT 0.13GomesPierre Emile Hojbjerg: 52 passningar, xT 0.02HojbjergEmerson Palmieri dos Santos: 51 passningar, xT 0.57SantosCj Egan Riley: 43 passningar, xT 0.08RileyUlisses Alexandre Garcia Lopes: 42 passningar, xT 0.01LopesIgor Paixao: 34 passningar, xT -0.01Paixao
    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.

    Sturm Graz
    Joshua Quarshie: 51 passningar, xT 0.01QuarshieJürgen Heil: 45 passningar, xT 0.14HeilValmir Matoshi: 39 passningar, xT 0.02MatoshiArjan Malic: 36 passningar, xT 0.04MalicDaniil Khudyakov: 33 passningar, xT 0.02KhudyakovLuís Francisco Balbo Vieira: 30 passningar, xT 0.03VieiraSimon Seidl: 25 passningar, xT 0SeidlJon Gorenc Stankovic: 25 passningar, xT 0.04StankovicJacob Peter Hödl: 24 passningar, xT -0.01HödlPaul Koller: 19 passningar, xT 0.02KollerAlbert Vallci: 18 passningar, xT 0.02Vallci
    Marseille
    Timothy Weah: 91 passningar, xT 0.13WeahJeffrey de Lange: 91 passningar, xT 0.04LangeHimad Said Abdelli: 91 passningar, xT -0.02AbdelliNayef Aguerd: 87 passningar, xT -0.01AguerdBamo Meite: 60 passningar, xT 0.05MeiteAngel Gomes: 58 passningar, xT 0.13GomesPierre Emile Hojbjerg: 52 passningar, xT 0.02HojbjergEmerson Palmieri dos Santos: 51 passningar, xT 0.57SantosCj Egan Riley: 43 passningar, xT 0.08RileyUlisses Alexandre Garcia Lopes: 42 passningar, xT 0.01LopesIgor Paixao: 34 passningar, xT -0.01Paixao

    The teams in numbers

    PerformanceSturm GrazMarseille
    Points10
    xPoints1.31.9
    xG per match0.580.76
    xGA per match2.71.4
    xG within 8s of winning the ball0.140.16
    xGA within 8s of losing the ball0.60.18
    Playing styleSturm GrazMarseille
    Build-up efficiency0.310.3
    Field tilt0.340.5
    xT per match0.330.8
    xTA per match0.880.88
    Won balls, offensive half2533
    Pressing intensity0.240.23
    Pressing efficiency0.30.22
    Pressing efficiency, offensive half0.320.18
    Entries into the box per match512
    Entries into the box against1213
    Pass completion %0.620.81
    Pass completion % under pressure0.590.74
    Passes per match197429
    Passes against per match395423
    Switches of play per match11.818.3
    Long balls per match2319
    Set piecesSturm GrazMarseille
    xG from free kicks00.03
    Corners per match3.95.9
    Corners against per match5.42
    xG per corner0.010
    xGA per corner against0.110.07
    First touch, offensive corners %0.120.18
    First touch, defensive corners %0.360.25
    OtherSturm GrazMarseille
    Throw-in control0.640.73
    The goalkeepersDaniil Khudyakov (Sturm Graz)Jeffrey de Lange (Marseille)
    Saves86
    Save %73%55%
    xG prevented57%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sturm Graz vs Marseille according to our model?

    The model gives Sturm Graz a 42% win probability. Full 1X2 picture: Sturm Graz 42%, draw 25%, Marseille 33%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Sturm Graz vs Marseille?

    The model expects 1.54 goals (xG) for Sturm Graz and 1.36 for Marseille, 2.90 in total.

    What does the model say about double chance?

    Sturm Graz or draw (1X) 67%, Marseille or draw (X2) 58% and no draw (12) 75%.

    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.