Austrian Bundesliga13°3,6 mm3 km/h

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    WSG TirolWSG TirolPossession control
    vs
    RiedRiedPossession control
    The model's lean: 1 · WSG Tirol (36%)Soft draw

    WSG Tirol vs Ried · Austrian Bundesliga

    1 · WSG Tirol 36%X 28%36% Ried · 2

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    Analysis: WSG Tirol – Ried

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

    TEXT: WSG Tirol and Ried possess an evenly matched head-to-head history, having split their four encounters since 2022 with Tirol winning once, Ried twice, and one draw. This limited sample indicates a slight edge to the visitors but doesn't weigh heavily against the broader metrics and team form leading into this fixture.

    Both sides lean towards possession-heavy football, which could mean a tactical battle rather than an open contest. Each team has an equal 36% chance of claiming victory, but the underlying numbers give a subtle nod to the hosts. Expected goals suggest a tight affair, with Tirol slightly ahead at 1.52 to Ried's 1.41. The model reflects this in its most likely scoreline of 1-1, suggesting a match that could be decided by fine margins.

    Rain is expected, which typically tempers offensive exploits, but the model accounts for these conditions. The over/under 2.5 goal probabilities lean towards the over at 56%, driven by both teams' inclination to score and concede — 59% likelihood for both teams to find the net underlines this. Despite each team's controlled possession style, these factors point to a potentially goal-rich game.

    The slight model lean towards Tirol, combined with home advantage, suggests a narrow edge for the hosts. The likelihood of a 2-1 victory for Tirol dovetails with this statistical lean, making it a plausible outcome for those seeking value, though the overall probabilities point to a tightly contested match.

    WSG TirolWSG Tirol
    Form LWWDL
    League ranking xG #6xGA #9xT #11xP/match #6Points #7
    Key players
    • David GugganigCBxG 0.05 · xT 0.09
    • Moritz OswaldLBxG 0.03 · xT 0.07
    • Marco BorasCBxG 0.01 · xT 0.09
    RiedRied
    Form LWLDW
    League ranking xG #4xGA #7xT #6xP/match #4Points #5
    Key players
    • Niama Pape SissokoFxG 0.76 · xT 0.03
    • Philipp PomerLWBxG 0.12 · xT 0.31
    • Evan Eghosa AisowierenFxG 0.54 · xT 0.03

    Match prediction: WSG Tirol – Ried

    Predicted score matrix

    Ried →
    WSG Tirol →
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–17.2%
    0–25.3%
    0–32.5%
    0–4+1.2%
    1
    1–07.8%
    1–111.8%
    1–28.1%
    1–33.8%
    1–4+1.8%
    2
    2–06.2%
    2–18.7%
    2–26.1%
    2–32.9%
    2–4+1.4%
    3
    3–03.1%
    3–14.4%
    3–23.1%
    3–31.5%
    3–4+0.7%
    4+
    4+–01.7%
    4+–12.4%
    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. 3.1-28%
    4. 4.1-08%
    5. 5.0-17%
    Expected goals
    1,52–1,41
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.18
    Over 2,556%
    @1.57

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    01 · 2 legs

    Safe

    • Double chance WSG Tirol or draw (1X)65%
    • Over 1.5 goals79%

    Combined probability

    52%

    Fair odds

    1.93

    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)65%
    • Over 2.5 goals56%
    • Nikolai Baden Frederiksen to score21%

    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 goals56%
    • Nikolai Baden Frederiksen to score21%
    • 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

    Bookmaker1 · WSG TirolX2 · Ried
    LeoVegas2.503.452.40

    Odds updated 2 Oct, 07:03

    Statistics

    Head-to-head

    4 matches
    WSG Tirol 1Draw 1Ried 2
    Goals: 3–5 (⌀ 2)

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

    xG & xGA per match — 3-game rolling average

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

    WSG Tirol
    Ried
    When goals are scored and conceded — 2026
    WSG Tirol (9–12)
    Ried (11–12)
    Pass networks

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

    WSG Tirol
    Marco Boras: 284 passningar, xT 0.25BorasDrew Murray: 284 passningar, xT 0.42MurrayMoritz Oswald: 203 passningar, xT 0.21OswaldMarc Striednig: 202 passningar, xT -0.06StriednigDavid Gugganig: 195 passningar, xT 0.37GugganigSalko Hamzic: 163 passningar, xT 0.15HamzicMurat Satin: 91 passningar, xT 0.02SatinMatthaus Taferner: 89 passningar, xT 0.14TafernerThomas Goiginger: 76 passningar, xT 0.45GoigingerHusein Balić: 69 passningar, xT 0.07BalićMichael Oluwakorede Olakigbe: 62 passningar, xT 0.49Olakigbe
    Ried
    Moegamat Yusuf Maart: 223 passningar, xT 0.37MaartOliver Steurer: 196 passningar, xT 0.31SteurerSamuel Johansen Chukwudi: 190 passningar, xT 0.32ChukwudiAndreas Leitner: 153 passningar, xT 0.29LeitnerStefan Schwab: 146 passningar, xT 0.36SchwabLukas Malicsek: 123 passningar, xT 0.11MalicsekYussef Nasrawe: 96 passningar, xT 0.4NasrawePhilipp Pomer: 74 passningar, xT 0.68PomerDejan Radonjic: 71 passningar, xT 0.07RadonjicMartin Rasner: 66 passningar, xT 0.05RasnerAnte Bajić: 63 passningar, xT 0.05Bajić
    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: 284 passningar, xT 0.25BorasDrew Murray: 284 passningar, xT 0.42MurrayMoritz Oswald: 203 passningar, xT 0.21OswaldMarc Striednig: 202 passningar, xT -0.06StriednigDavid Gugganig: 195 passningar, xT 0.37GugganigSalko Hamzic: 163 passningar, xT 0.15HamzicMurat Satin: 91 passningar, xT 0.02SatinMatthaus Taferner: 89 passningar, xT 0.14TafernerThomas Goiginger: 76 passningar, xT 0.45GoigingerHusein Balić: 69 passningar, xT 0.07BalićMichael Oluwakorede Olakigbe: 62 passningar, xT 0.49Olakigbe
    Ried
    Moegamat Yusuf Maart: 223 passningar, xT 0.37MaartOliver Steurer: 196 passningar, xT 0.31SteurerSamuel Johansen Chukwudi: 190 passningar, xT 0.32ChukwudiAndreas Leitner: 153 passningar, xT 0.29LeitnerStefan Schwab: 146 passningar, xT 0.36SchwabLukas Malicsek: 123 passningar, xT 0.11MalicsekYussef Nasrawe: 96 passningar, xT 0.4NasrawePhilipp Pomer: 74 passningar, xT 0.68PomerDejan Radonjic: 71 passningar, xT 0.07RadonjicMartin Rasner: 66 passningar, xT 0.05RasnerAnte Bajić: 63 passningar, xT 0.05Bajić

    The teams in numbers

    PerformanceWSG TirolRied
    Points88
    xPoints10.210.8
    xG per match1.41.9
    xGA per match1.71.6
    xG within 8s of winning the ball0.370.24
    xGA within 8s of losing the ball0.310.32
    Playing styleWSG TirolRied
    Build-up efficiency0.270.28
    Field tilt0.440.49
    xT per match0.660.99
    xTA per match1.31.2
    Won balls, offensive half2125
    Pressing intensity0.240.23
    Pressing efficiency0.290.25
    Pressing efficiency, offensive half0.220.21
    Entries into the box per match1013
    Entries into the box against1515
    Pass completion %0.760.75
    Pass completion % under pressure0.730.69
    Passes per match350329
    Passes against per match388372
    Switches of play per match18.521.1
    Long balls per match2630
    Set piecesWSG TirolRied
    xG from free kicks00.08
    Corners per match5.64
    Corners against per match6.25.2
    xG per corner0.030.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.490.43
    First touch, defensive corners %0.70.51
    OtherWSG TirolRied
    Throw-in control0.730.68
    The goalkeepersSalko Hamzic (WSG Tirol)Andreas Leitner (Ried)
    Saves2921
    Save %73%64%
    xG prevented57%43%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins WSG Tirol vs Ried according to our model?

    The model gives WSG Tirol a 36% win probability. Full 1X2 picture: WSG Tirol 36%, draw 28%, Ried 36%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.