Austrian Bundesliga18°7 km/h

    Läs på svenska
    Sturm GrazSturm GrazPossession & high press
    vs
    LASKLASKPossession & high press
    The model's lean: 2 · LASK (49%)

    Sturm Graz vs LASK · Austrian Bundesliga

    1 · Sturm Graz 27%X 25%49% LASK · 2

    Analysis: Sturm GrazLASK

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

    A fascinating collision of form and history awaits as Sturm Graz host LASK in a matchup that could redefine the momentum in the Austrian Bundesliga. The visitors arrive with a staggering streak of nine consecutive victories, a testament to their current dominance. While both teams favor a high-press, possession-based approach, it is LASK's prolific xG of 2.7 per match that hints at their potential to outscore the hosts, who manage 1.4 xG on average.

    Despite a solid head-to-head record against LASK, with three wins in their last six encounters, Graz finds themselves on the back foot. The historical data shows only a slight advantage, which may not hold much weight against their opponents' red-hot form. LASK also have the upper hand in xPoints, leading 12.1 to Graz's 7.0, suggesting their recent performances are no fluke.

    The likelihood of both teams finding the net stands at 54%, with expected goals of 1.11 for Graz and 1.60 for LASK. This suggests a closely contested affair, leaning towards a 1-2 victory for the visitors. A 51% chance of over 2.5 goals further supports the notion of a competitive match, although history notes the fixture averages 3.2 goals per meeting.

    For astute bettors, the most intriguing angle lies in the under 0.5 goals market. Offered at 17.0 odds with Betsafe, Betsson, and Nordicbet, it carries a substantial 19% value edge. While the probability remains low at 7%, the potential payoff is significant, showcasing a rare opportunity for those willing to consider an unlikely stalemate in an otherwise goal-friendly matchup.

    Sturm GrazSturm Graz
    Form DWWDL
    League ranking xG #6xGA #3xT #4xP/match #5Points #4
    Key players
    • Jon Gorenc StankovicCMxG 0.03 · xT 0.16
    • Emran SogloLWBxG 0.03 · xT 0.27
    • Albert VallciCBxG 0.06 · xT 0.12
    LASKLASK
    Form WWWWW
    League ranking xG #2xGA #1xT #1xP/match #1Points #1
    Key players
    • Moses UsorFxG 0.86 · xT 0.17
    • George BelloLWxG 0.12 · xT 0.15
    • Christoph LangLWxG 0.39 · xT 0.05

    Match prediction: Sturm GrazLASK

    Predicted score matrix

    LASK
    Sturm Graz
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–110.3%
    0–28.5%
    0–34.5%
    0–4+2.6%
    1
    1–07.0%
    1–112.2%
    1–29.4%
    1–35.0%
    1–4+2.9%
    2
    2–04.1%
    2–16.6%
    2–25.3%
    2–32.8%
    2–4+1.6%
    3
    3–01.5%
    3–12.4%
    3–21.9%
    3–31.0%
    3–4+0.6%
    4+
    4+–00.5%
    4+–10.9%
    4+–20.7%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.0-28%
    5. 5.1-07%
    Expected goals
    1,111,60
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.42EV+8%
    Over 2,551%
    @1.65

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • LASK to win49%
    • Over 1.5 goals76%

    Combined probability

    38%

    Fair odds

    2.64

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

    02 · 3 legs

    Balanced

    • LASK to win49%
    • Over 2.5 goals51%
    • Robert Ljubičić to score22%

    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 score54%
    • Over 2.5 goals51%
    • Robert Ljubičić to score22%
    • Andrés Alberto Andrade Cedeño 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+).

    • 2 · LASK49% probability@2.50Bet365EV+22%reference odds
    • Under 1.524% probability@4.90BetsafeEV+19%reference odds
    • Under 1.524% probability@4.90BetssonEV+19%reference odds
    Bookmaker1 · Sturm GrazX2 · LASK
    Bet3652.503.50
    EV+ 22%
    2.50
    Betsafe2.953.60
    EV+ 5%
    2.15
    Betsson2.953.60
    EV+ 5%
    2.15
    Nordicbet2.953.60
    EV+ 5%
    2.15
    Pinnacle2.873.87
    EV+ 8%
    2.23

    Odds updated 11 Sept, 18:38

    Odds movement

    1-8 %
    34 %29 %

    3.112.87

    X+7 %
    28 %23 %

    3.623.87

    2+2 %
    46 %41 %

    2.192.23

    Pinnacle · 13 recorded price levels · 04/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Sturm Graz 3Draw 2LASK 1
    Goals: 118 (⌀ 3,2)

    Head-to-head based on Austrian Bundesliga data since 2022.

    Key facts

    • SK Sturm Graz dominate this fixture historically: 3 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.2 goals per meeting on average.
    • SK Sturm Graz have scored in 11 consecutive league matches.
    • LASK come into this round on 9 straight wins.
    • LASK have scored in 14 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Sturm Graz
    LASK
    When goals are scored and conceded 2026
    Sturm Graz (65)
    LASK (152)
    Pass networks

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

    Sturm Graz
    Albert Vallci: 235 passningar, xT 0.56VallciJon Gorenc Stankovic: 203 passningar, xT 0.79StankovicJürgen Heil: 190 passningar, xT 1HeilEmran Soglo: 117 passningar, xT 0.84SogloLuca Weinhandl: 113 passningar, xT 0.16WeinhandlSimon Seidl: 105 passningar, xT 0.93SeidlPaul Koller: 87 passningar, xT 0.1KollerJacob Peter Hödl: 87 passningar, xT 0.33HödlPetar Petrović: 65 passningar, xT 0.12PetrovićAmmar Helac: 63 passningar, xT 0.07HelacLuís Francisco Balbo Vieira: 51 passningar, xT 0.19Vieira
    LASK
    Andres Andrade: 293 passningar, xT 1.57AndradeJoão Victor Tornich: 287 passningar, xT 0.43TornichXavier Tshimanga Kamaluba Ntite Mukendi Mpoyi Mbuyamba: 275 passningar, xT 0.76MbuyambaSascha Horvath: 206 passningar, xT 0.68HorvathKasper Poul Mølgaard Jørgensen: 150 passningar, xT 0.65JørgensenGeorge Bello: 150 passningar, xT 0.57BelloAlessandro André Schöpf: 122 passningar, xT -0.04SchöpfMelayro Bogarde: 115 passningar, xT 0.88BogardeKrystof Danek: 110 passningar, xT 0.41DanekLukas Jungwirth: 108 passningar, xT 0.11JungwirthRobert Ljubičić: 108 passningar, xT 0.27Ljubičić
    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
    Albert Vallci: 235 passningar, xT 0.56VallciJon Gorenc Stankovic: 203 passningar, xT 0.79StankovicJürgen Heil: 190 passningar, xT 1HeilEmran Soglo: 117 passningar, xT 0.84SogloLuca Weinhandl: 113 passningar, xT 0.16WeinhandlSimon Seidl: 105 passningar, xT 0.93SeidlPaul Koller: 87 passningar, xT 0.1KollerJacob Peter Hödl: 87 passningar, xT 0.33HödlPetar Petrović: 65 passningar, xT 0.12PetrovićAmmar Helac: 63 passningar, xT 0.07HelacLuís Francisco Balbo Vieira: 51 passningar, xT 0.19Vieira
    LASK
    Andres Andrade: 293 passningar, xT 1.57AndradeJoão Victor Tornich: 287 passningar, xT 0.43TornichXavier Tshimanga Kamaluba Ntite Mukendi Mpoyi Mbuyamba: 275 passningar, xT 0.76MbuyambaSascha Horvath: 206 passningar, xT 0.68HorvathKasper Poul Mølgaard Jørgensen: 150 passningar, xT 0.65JørgensenGeorge Bello: 150 passningar, xT 0.57BelloAlessandro André Schöpf: 122 passningar, xT -0.04SchöpfMelayro Bogarde: 115 passningar, xT 0.88BogardeKrystof Danek: 110 passningar, xT 0.41DanekLukas Jungwirth: 108 passningar, xT 0.11JungwirthRobert Ljubičić: 108 passningar, xT 0.27Ljubičić

    The teams in numbers

    PerformanceSturm GrazLASK
    Points815
    xPoints712.1
    xG per match1.42.7
    xGA per match1.20.39
    xG within 8s of winning the ball0.240.57
    xGA within 8s of losing the ball0.240.16
    Playing styleSturm GrazLASK
    Build-up efficiency0.310.32
    Field tilt0.660.8
    xT per match1.41.6
    xTA per match0.660.5
    Won balls, offensive half3332
    Pressing intensity0.240.22
    Pressing efficiency0.380.37
    Pressing efficiency, offensive half0.350.32
    Entries into the box per match1818
    Entries into the box against114
    Pass completion %0.710.8
    Pass completion % under pressure0.630.74
    Passes per match311447
    Passes against per match249273
    Switches of play per match21.851.1
    Long balls per match2856
    Set piecesSturm GrazLASK
    xG from free kicks0.010.1
    Corners per match8.18.2
    Corners against per match4.80.81
    xG per corner0.010.06
    xGA per corner against0.020.01
    First touch, offensive corners %0.370.68
    First touch, defensive corners %0.671
    OtherSturm GrazLASK
    Throw-in control0.760.75
    The goalkeepersAmmar Helac (Sturm Graz)Lukas Jungwirth (LASK)
    Saves86
    Save %67%75%
    xG prevented34%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sturm Graz vs LASK according to our model?

    The model gives LASK a 49% win probability. Full 1X2 picture: Sturm Graz 27%, draw 25%, LASK 49%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.

    More matches in the league

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