Austrian Bundesliga16°0,1 mm7 km/h

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    WSG TirolWSG TirolPossession control
    vs
    HartbergHartbergCounter-attacks & crosses
    The model's lean: 1 · WSG Tirol (42%)Best value by the model: Under 2,5 @ 2.11 (+3 %)

    WSG Tirol vs Hartberg · Austrian Bundesliga

    1 · WSG Tirol 42%X 27%31% Hartberg · 2

    Analysis: WSG TirolHartberg

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

    In Austrian Bundesliga matchups, a contest often hinges on tactical contrasts, and this one is no different. WSG Tirol's penchant for possession battles squarely faces Hartberg's reliance on rapid counterattacks and wing play. The home side commands a slight edge, supported by a 42% win probability from the model, yet their historical struggles against Hartberg can't be ignored. Six recent encounters show a daunting 1-1-4 record for Tirol (1 win, 1 draw, 4 losses), though this sample is modest and less weighty than current form and expected goals.

    Tirol's possession style should grant them more control, aligning with their 1.55 expected goals compared to Hartberg's 1.18. This advantage amplifies when considering their defensive comparisons: a 1.8 xGA per match versus Hartberg's leaky 2.0. While Hartberg has historically found ways to exploit Tirol's control, this time the odds might just lean differently. The playing conditions, with 2.9 mm of rain, could dampen goal-fests, yet the model still finds a slight over 2.5 goals edge at 51%.

    Despite Hartberg's head-to-head dominance, this match might finally see Tirol break the cycle. The most probable scoreline of 1-1 at 12% acknowledges the visitors' knack for making things difficult, but a 1-0 win for Tirol at 10% follows closely, hinting at a potentially pivotal shift. A tight, competitive affair appears on the horizon, with the model slightly favoring Tirol to command proceedings.

    For punters seeking value, considering WSG Tirol's win at odds offered by Bet365 at evens or better could offer an attractive proposition. While not a certainty, the blend of tactical nuances and numerical edges positions Tirol as a slightly more promising pick in the betting market. The numbers, despite Hartberg's past supremacy, suggest this may just be Tirol's moment to assert their presence.

    WSG TirolWSG Tirol
    Form DLLWW
    League ranking xG #5xGA #8xT #11xP/match #4Points #5
    Key players
    • David GugganigCBxG 0.03 · xT 0.11
    • Moritz OswaldLBxG 0.00 · xT 0.02
    • Marco BorasCBxG 0.01 · xT 0.10
    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

    Match prediction: WSG TirolHartberg

    Predicted score matrix

    Hartberg
    WSG Tirol
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–17.4%
    0–24.5%
    0–31.8%
    0–4+0.7%
    1
    1–09.8%
    1–112.3%
    1–27.0%
    1–32.8%
    1–4+1.0%
    2
    2–07.9%
    2–19.2%
    2–25.4%
    2–32.1%
    2–4+0.8%
    3
    3–04.1%
    3–14.8%
    3–22.8%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.2%
    4+–12.6%
    4+–21.5%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,551,18
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.11EV+3%
    Over 2,551%
    @1.80

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance WSG Tirol or draw (1X)71%
    • Over 1.5 goals76%

    Combined probability

    55%

    Fair odds

    1.83

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

    02 · 3 legs

    Balanced

    • Double chance WSG Tirol or draw (1X)71%
    • Over 2.5 goals51%
    • Nikolai Baden Frederiksen to score17%

    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 score55%
    • Over 2.5 goals51%
    • Marco Philip Hoffmann to score22%
    • Konstantin Schopp to be booked22%

    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 2.549% probability@2.11PinnacleEV+3%reference odds
    Bookmaker1 · WSG TirolX2 · Hartberg
    Bet3652.153.403.00
    Pinnacle2.173.603.16

    Odds updated 11 Sept, 08:26

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 4 September — the odds have shortened from 2.27 to 2.11 (−7%).

    1+8 %
    48 %43 %

    2.012.17

    X-3 %
    29 %24 %

    3.703.60

    2-9 %
    31 %26 %

    3.493.16

    Over 2,5+6 %
    59 %54 %

    1.641.73

    Pinnacle · 12 recorded price levels · 04/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    WSG Tirol 1Draw 1Hartberg 4
    Goals: 811 (⌀ 3,2)

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

    Key facts

    • TSV Hartberg dominate this fixture historically: 4 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.2 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    WSG Tirol
    Hartberg
    When goals are scored and conceded 2026
    WSG Tirol (77)
    Hartberg (58)
    Pass networks

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

    WSG Tirol
    Marco Boras: 255 passningar, xT 0.52BorasDrew Murray: 246 passningar, xT 0.32MurrayMarc Striednig: 149 passningar, xT -0.05StriednigSalko Hamzic: 148 passningar, xT 0.2HamzicMurat Satin: 115 passningar, xT 0.18SatinDavid Gugganig: 113 passningar, xT 0.24GugganigDavid Kubatta: 99 passningar, xT 0.06KubattaMoritz Oswald: 93 passningar, xT 0.02OswaldRaphael Gschösser: 92 passningar, xT 0.06GschösserMichael Oluwakorede Olakigbe: 64 passningar, xT 0.38OlakigbeNemanja Čelić: 64 passningar, xT 0.21Čelić
    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
    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.

    WSG Tirol
    Marco Boras: 255 passningar, xT 0.52BorasDrew Murray: 246 passningar, xT 0.32MurrayMarc Striednig: 149 passningar, xT -0.05StriednigSalko Hamzic: 148 passningar, xT 0.2HamzicMurat Satin: 115 passningar, xT 0.18SatinDavid Gugganig: 113 passningar, xT 0.24GugganigDavid Kubatta: 99 passningar, xT 0.06KubattaMoritz Oswald: 93 passningar, xT 0.02OswaldRaphael Gschösser: 92 passningar, xT 0.06GschösserMichael Oluwakorede Olakigbe: 64 passningar, xT 0.38OlakigbeNemanja Čelić: 64 passningar, xT 0.21Čelić
    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

    The teams in numbers

    PerformanceWSG TirolHartberg
    Points76
    xPoints7.95.4
    xG per match1.60.93
    xGA per match1.82
    xG within 8s of winning the ball0.460.19
    xGA within 8s of losing the ball0.290.39
    Playing styleWSG TirolHartberg
    Build-up efficiency0.270.28
    Field tilt0.340.26
    xT per match0.640.76
    xTA per match1.41.9
    Won balls, offensive half2018
    Pressing intensity0.230.25
    Pressing efficiency0.30.26
    Pressing efficiency, offensive half0.230.18
    Entries into the box per match99
    Entries into the box against1619
    Pass completion %0.750.72
    Pass completion % under pressure0.720.67
    Passes per match328289
    Passes against per match408430
    Switches of play per match17.121.7
    Long balls per match2534
    Set piecesWSG TirolHartberg
    xG from free kicks0.010.02
    Corners per match4.53.7
    Corners against per match6.59.6
    xG per corner0.040.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.550.39
    First touch, defensive corners %0.750.57
    OtherWSG TirolHartberg
    Throw-in control0.70.72
    The goalkeepersSalko Hamzic (WSG Tirol)Ármin Pécsi (Hartberg)
    Saves2220
    Save %79%71%
    xG prevented58%55%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins WSG Tirol vs Hartberg according to our model?

    The model gives WSG Tirol a 42% win probability. Full 1X2 picture: WSG Tirol 42%, draw 27%, Hartberg 31%.

    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 55% 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.