Austrian Bundesliga18°13 km/h

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    Rapid WienRapid WienCounter-attacks & crosses
    30
    WSG TirolWSG TirolPossession control
    The model's lean: 1 · Rapid Wien (71%)Best value by the model: Under 3,5 @ 1.85 (+11 %)

    Rapid Wien vs WSG Tirol · Austrian Bundesliga

    1 · Rapid Wien 71%X 17%12% WSG Tirol · 2

    Analysis: Rapid WienWSG Tirol

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    SK Rapid Vienna's offensive momentum presents a formidable challenge for WSG Tirol. With the hosts scoring in eight consecutive league matches, their attacking prowess is undeniable, particularly at home where they win 59% of their matches. The model suggests a dominant home performance with a 71% probability of victory for Rapid, underscored by a robust expected goals figure of 2.26. The numbers favor a 2-0 or 2-1 outcome, both sitting at a 10% likelihood.

    Despite Tirol's inclination towards possession control, this approach hasn't translated into tangible success against Rapid. In a small head-to-head sample of four matches since 2022, Tirol has failed to secure a single win, highlighting a persistent difficulty in overcoming the hosts. This is further compounded by Rapid's superior xG and xGA metrics, which reflect both their attacking efficiency and defensive solidity.

    Considering the statistical edge Rapid holds in nearly every analytical category, such as points and xPoints, this clash seems to skew heavily in favor of the hosts. Rapid’s style of counter-attacking play, combined with effective use of crosses, could exploit any lapses in Tirol’s defensive setup, which concedes 1.6 expected goals per match on average.

    The odds imply a total goals tally exceeding 2.5 at 63%, suggesting an open game. However, given Rapid’s defensive strengths and Tirol's struggle to break through, the under might still hold appeal for those cautious about goal-happy forecasts. Still, with both teams to score at 56%, the model leans slightly towards both finding the net at least once.

    Given the statistical dominance and home advantage, backing Rapid to win aligns with their strong form and historical home record. While not exhilarating, it fits the mold of a reliable selection that could pay off.

    Rapid WienRapid Wien
    Form WWWLW
    League ranking xG #3xGA #3xT #2xP/match #3Points #2
    Key players
    • Ercan KaraFxG 0.79 · xT -0.08
    • Yusuf DemirRWxG 0.33 · xT 0.29
    • Matthias SeidlCDMxG 0.09 · xT 0.15
    WSG TirolWSG Tirol
    Form LLWWD
    League ranking xG #4xGA #7xT #10xP/match #4Points #5
    Key players
    • David GugganigCBxG 0.06 · xT 0.11
    • Nikolai Baden FrederiksenFxG 0.50 · xT 0.00
    • Moritz OswaldLBxG 0.04 · xT 0.07
    Final score
    30
    The model called the outcome
    Predicted probabilities: Rapid Wien 71% · Draw 17% · WSG Tirol 12%

    Match prediction: Rapid WienWSG Tirol

    Predicted score matrix

    WSG Tirol
    Rapid Wien
    0
    1
    2
    3
    4+
    0
    0–04.2%
    0–13.6%
    0–21.8%
    0–30.6%
    0–4+0.2%
    1
    1–08.7%
    1–18.9%
    1–24.2%
    1–31.3%
    1–4+0.4%
    2
    2–010.2%
    2–19.8%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–07.7%
    3–17.4%
    3–23.6%
    3–31.1%
    3–4+0.3%
    4+
    4+–07.4%
    4+–17.1%
    4+–23.4%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-010%
    2. 2.2-110%
    3. 3.1-19%
    4. 4.1-09%
    5. 5.3-08%
    Expected goals
    2,260,96
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    @2.60
    Over 2,563%
    @1.48

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rapid Wien to win71%
    • Over 1.5 goals83%

    Combined probability

    58%

    Fair odds

    1.74

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

    02 · 3 legs

    Balanced

    • Rapid Wien to win71%
    • Over 2.5 goals63%
    • Tonni Adamsen to score40%

    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 score56%
    • Over 2.5 goals63%
    • Tonni Adamsen to score40%
    • Marc Striednig to be booked24%

    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 3.560% probability@1.85PinnacleEV+11%reference odds
    Bookmaker1 · Rapid WienX2 · WSG Tirol
    Bet3651.404.506.50
    Pinnacle1.375.617.37

    Odds updated 18 Sept, 10:18

    Odds movement

    1-2 %
    72 %67 %

    1.401.37

    X+9 %
    20 %15 %

    5.175.61

    2+11 %
    16 %11 %

    6.637.37

    Pinnacle · 15 recorded price levels · 13/09/2026 → 18/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Rapid Wien 2Draw 2WSG Tirol 0
    Goals: 72 (⌀ 2,2)

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

    Key facts

    • SK Rapid Vienna have scored in 8 consecutive league matches.
    • SK Rapid Vienna win 59% of their home matches all-time (37 played).
    xG & xGA per match — 3-game rolling average

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

    Rapid Wien
    WSG Tirol
    When goals are scored and conceded 2026
    Rapid Wien (187)
    WSG Tirol (99)
    Pass networks

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

    Rapid Wien
    Bendeguz Bolla: 345 passningar, xT 1.27BollaSerge Philippe Raux Yao: 330 passningar, xT 0.33YaoMatthias Seidl: 320 passningar, xT 0.63SeidlNenad Cvetkovic: 249 passningar, xT 0.28CvetkovicNicolas Bajlicz: 230 passningar, xT 0.19BajliczYusuf Demir: 185 passningar, xT 0.64DemirJannes-Kilian Horn: 184 passningar, xT 0.9HornNiklas Hedl: 178 passningar, xT 0.06HedlRomeo Amane: 113 passningar, xT 0.08AmaneTonni Adamsen: 93 passningar, xT 0.18AdamsenJakob Maximilian Schöller: 91 passningar, xT 0.06Schöller
    WSG Tirol
    Drew Murray: 284 passningar, xT 0.38MurrayMarco Boras: 283 passningar, xT 0.53BorasMarc Striednig: 187 passningar, xT -0.05StriednigDavid Gugganig: 168 passningar, xT 0.36GugganigSalko Hamzic: 163 passningar, xT 0.16HamzicMoritz Oswald: 154 passningar, xT 0.15OswaldMurat Satin: 111 passningar, xT 0.14SatinDavid Kubatta: 70 passningar, xT 0.04KubattaRaphael Gschösser: 69 passningar, xT 0.06GschösserHusein Balić: 67 passningar, xT 0.07BalićThomas Goiginger: 60 passningar, xT 0.48Goiginger
    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.

    Rapid Wien
    Bendeguz Bolla: 345 passningar, xT 1.27BollaSerge Philippe Raux Yao: 330 passningar, xT 0.33YaoMatthias Seidl: 320 passningar, xT 0.63SeidlNenad Cvetkovic: 249 passningar, xT 0.28CvetkovicNicolas Bajlicz: 230 passningar, xT 0.19BajliczYusuf Demir: 185 passningar, xT 0.64DemirJannes-Kilian Horn: 184 passningar, xT 0.9HornNiklas Hedl: 178 passningar, xT 0.06HedlRomeo Amane: 113 passningar, xT 0.08AmaneTonni Adamsen: 93 passningar, xT 0.18AdamsenJakob Maximilian Schöller: 91 passningar, xT 0.06Schöller
    WSG Tirol
    Drew Murray: 284 passningar, xT 0.38MurrayMarco Boras: 283 passningar, xT 0.53BorasMarc Striednig: 187 passningar, xT -0.05StriednigDavid Gugganig: 168 passningar, xT 0.36GugganigSalko Hamzic: 163 passningar, xT 0.16HamzicMoritz Oswald: 154 passningar, xT 0.15OswaldMurat Satin: 111 passningar, xT 0.14SatinDavid Kubatta: 70 passningar, xT 0.04KubattaRaphael Gschösser: 69 passningar, xT 0.06GschösserHusein Balić: 67 passningar, xT 0.07BalićThomas Goiginger: 60 passningar, xT 0.48Goiginger

    The teams in numbers

    PerformanceRapid WienWSG Tirol
    Points158
    xPoints10.39.9
    xG per match2.31.6
    xGA per match1.11.6
    xG within 8s of winning the ball0.780.43
    xGA within 8s of losing the ball0.170.24
    Playing styleRapid WienWSG Tirol
    Build-up efficiency0.330.27
    Field tilt0.650.42
    xT per match1.50.68
    xTA per match0.841.2
    Won balls, offensive half2322
    Pressing intensity0.250.23
    Pressing efficiency0.30.31
    Pressing efficiency, offensive half0.250.23
    Entries into the box per match1510
    Entries into the box against1015
    Pass completion %0.840.75
    Pass completion % under pressure0.780.72
    Passes per match520350
    Passes against per match357373
    Switches of play per match28.317.9
    Long balls per match3326
    Set piecesRapid WienWSG Tirol
    xG from free kicks0.030
    Corners per match66.1
    Corners against per match2.76.2
    xG per corner0.020.04
    xGA per corner against0.030.02
    First touch, offensive corners %0.610.5
    First touch, defensive corners %0.620.7
    OtherRapid WienWSG Tirol
    Throw-in control0.720.72
    The goalkeepersNiklas Hedl (Rapid Wien)Salko Hamzic (WSG Tirol)
    Saves2324
    Save %77%75%
    xG prevented51%57%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Rapid Wien vs WSG Tirol according to our model?

    The model gives Rapid Wien a 71% win probability. Full 1X2 picture: Rapid Wien 71%, draw 17%, WSG Tirol 12%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.