Austrian Bundesliga16°9 km/h

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    HartbergHartbergCounter-attacks & crosses
    vs
    LASKLASKPossession & high press
    The model's lean: 2 · LASK (77%)Best value by the model: No @ 2.25 (+17 %)

    Hartberg vs LASK · Austrian Bundesliga

    1 · Hartberg 8%X 15%77% LASK · 2

    Analysis: HartbergLASK

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT (corrected):

    LASK has dominated their recent matchups against Hartberg, winning four out of nine encounters since 2022, while the hosts have yet to claim a victory. This sets the stage for another uphill battle for Hartberg, whose counter-attacking style could struggle against LASK's relentless high press and possession strategy. The visitors are riding high on a nine-match winning streak, having scored in 14 consecutive league games, which only amplifies the challenges facing the home side.

    Hartberg's odds of an upset appear slim, with a win probability of just 8% according to the models. This is underscored by their expected goals standing at a mere 0.72 compared to LASK's imposing 2.80. The numbers paint a picture of a likely one-sided affair, with the most probable scorelines being 0-2 and 0-3 in favor of LASK. The visitors' ability to sustain pressure and convert chances could prove decisive, especially against a Hartberg defense conceding an average of 2.0 goals per match.

    Despite the one-sided expectations, Hartberg's playstyle, focusing on counter-attacks and crosses, suggests they may have sporadic opportunities. However, breaking through LASK's disciplined defense, which averages just 0.39 xGA per match, will be a monumental task. With an over 2.5 goals probability at 68%, the model sees a high-scoring outcome as more likely than not, but Hartberg's chances of contributing to that tally seem limited.

    With LASK's form and statistical superiority, the expected narrative of the match strongly favors the visitors.

    HartbergHartberg
    Form LLLWW
    League ranking xG #10xGA #10xT #9xP/match #10Points #6
    Key players
    • Angelo GattermayerFxG 0.17 · xT 0.14
    • Tobias KainzRWxG 0.03 · xT 0.07
    • Marco HoffmannFxG 0.44 · xT 0.00
    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: HartbergLASK

    Predicted score matrix

    LASK
    Hartberg
    0
    1
    2
    3
    4+
    0
    0–03.2%
    0–18.2%
    0–211.7%
    0–310.9%
    0–4+15.0%
    1
    1–02.0%
    1–16.1%
    1–28.3%
    1–37.8%
    1–4+10.8%
    2
    2–00.8%
    2–12.1%
    2–23.0%
    2–32.8%
    2–4+3.9%
    3
    3–00.2%
    3–10.5%
    3–20.7%
    3–30.7%
    3–4+0.9%
    4+
    4+–00.0%
    4+–10.1%
    4+–20.1%
    4+–30.1%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-212%
    2. 2.0-311%
    3. 3.1-28%
    4. 4.0-18%
    5. 5.1-38%
    Expected goals
    0,722,80
    Both teams to score
    48%

    Over/under goals

    Expected goals: 3,5
    Under 2,532%
    Over 2,568%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • LASK to win77%
    • Over 1.5 goals87%

    Combined probability

    72%

    Fair odds

    1.39

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

    02 · 3 legs

    Balanced

    • LASK to win77%
    • Over 2.5 goals68%
    • Robert Ljubičić to score32%

    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 score48%
    • Over 2.5 goals68%
    • Robert Ljubičić to score32%
    • Benjamin Markuš to be booked20%

    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+).

    • Both teams to score: No52% probability@2.25Bet365EV+17%reference odds
    • 2 · LASK77% probability@1.48Bet365EV+14%reference odds
    Bookmaker1 · HartbergX2 · LASK
    Bet3655.754.33
    EV+ 14%
    1.48

    Odds updated 11 Sept, 05:04

    Statistics

    Head-to-head

    9 matches
    Hartberg 0Draw 5LASK 4
    Goals: 816 (⌀ 2,7)

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

    Key facts

    • LASK dominate this fixture historically: 4 wins to 0 in 9 meetings.
    • 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).

    Hartberg
    LASK
    When goals are scored and conceded 2026
    Hartberg (58)
    LASK (152)
    Pass networks

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

    Hartberg
    Paul Komposch: 165 passningar, xT 0.36KomposchBenjamin Markus: 164 passningar, xT 0.25MarkusFabian Wilfinger: 152 passningar, xT 0.44WilfingerÁrmin Pécsi: 151 passningar, xT 0.06PécsiKonstantin Schopp: 117 passningar, xT 0.2SchoppTobias Kainz: 115 passningar, xT 0.3KainzHabib Anas Coulibaly: 100 passningar, xT 0.18CoulibalyLukas Spendlhofer: 92 passningar, xT 0.2SpendlhoferOliver Lukic: 73 passningar, xT 0.1LukicMarco Hoffmann: 64 passningar, xT 0.01HoffmannYouba Diarra: 59 passningar, xT 0.24Diarra
    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.

    Hartberg
    Paul Komposch: 165 passningar, xT 0.36KomposchBenjamin Markus: 164 passningar, xT 0.25MarkusFabian Wilfinger: 152 passningar, xT 0.44WilfingerÁrmin Pécsi: 151 passningar, xT 0.06PécsiKonstantin Schopp: 117 passningar, xT 0.2SchoppTobias Kainz: 115 passningar, xT 0.3KainzHabib Anas Coulibaly: 100 passningar, xT 0.18CoulibalyLukas Spendlhofer: 92 passningar, xT 0.2SpendlhoferOliver Lukic: 73 passningar, xT 0.1LukicMarco Hoffmann: 64 passningar, xT 0.01HoffmannYouba Diarra: 59 passningar, xT 0.24Diarra
    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

    PerformanceHartbergLASK
    Points615
    xPoints5.412.1
    xG per match0.932.7
    xGA per match20.39
    xG within 8s of winning the ball0.190.57
    xGA within 8s of losing the ball0.390.16
    Playing styleHartbergLASK
    Build-up efficiency0.280.32
    Field tilt0.260.8
    xT per match0.761.6
    xTA per match1.90.5
    Won balls, offensive half1832
    Pressing intensity0.250.22
    Pressing efficiency0.260.37
    Pressing efficiency, offensive half0.180.32
    Entries into the box per match918
    Entries into the box against194
    Pass completion %0.720.8
    Pass completion % under pressure0.670.74
    Passes per match289447
    Passes against per match430273
    Switches of play per match21.751.1
    Long balls per match3456
    Set piecesHartbergLASK
    xG from free kicks0.020.1
    Corners per match3.78.2
    Corners against per match9.60.81
    xG per corner0.040.06
    xGA per corner against0.030.01
    First touch, offensive corners %0.390.68
    First touch, defensive corners %0.571
    OtherHartbergLASK
    Throw-in control0.720.75
    The goalkeepersÁrmin Pécsi (Hartberg)Lukas Jungwirth (LASK)
    Saves206
    Save %71%75%
    xG prevented55%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hartberg vs LASK according to our model?

    The model gives LASK a 77% win probability. Full 1X2 picture: Hartberg 8%, draw 15%, LASK 77%.

    What is the most likely scoreline?

    The model's most likely final score is 0-2 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 68% and under at 32%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.