Austrian Bundesliga16°18 km/h

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    RiedRiedPossession control
    vs
    WolfsbergWolfsbergLow block & direct
    The model's lean: 1 · Ried (54%)

    Ried vs Wolfsberg · Austrian Bundesliga

    1 · Ried 54%X 26%19% Wolfsberg · 2

    Analysis: RiedWolfsberg

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT:

    SV Ried's possession-centric approach shapes their home advantage and is central to understanding their matchup against Wolfsberg. The hosts have consistently outperformed the visitors in terms of expected goals (1.7 to 0.89) and expected points (6.9 to 5.5), indicating a trend towards dominance not fully reflected in the league table. While Wolfsberg has a slight points lead, Ried’s underlying metrics suggest they are the stronger side.

    In their last five encounters, Ried has emerged victorious three times, with the visitors claiming just one win. Although this head-to-head sample is small, it highlights a pattern: Ried's ability to control games has been a thorn in Wolfsberg's side. The clash of styles is stark: Ried's possession play against Wolfsberg's low-block defense and direct counterattacks.

    The model's probabilities favor Ried at 54%, with an expected goals tally of 1.77 compared to Wolfsberg's 1.02. This suggests a likely home win, reinforced by Ried's ability to exploit gaps in a Wolfsberg defense that concedes 1.9 xGA per match. Despite Wolfsberg's defensive posture, Ried's strategic control seems poised to crack it.

    While the most likely scorelines are 1-1 and 1-0, with 11% each, Ried's attacking prowess hints at a probable 2-1 victory. The lean towards over 2.5 goals at 53% aligns with their capabilities, even if the margin is slim. Both teams to score also stands at 53%, indicating potential vulnerability on both ends.

    Where the sharpest edge lies is in highlighting Ried's dominance at home. This matchup leans towards a Ried victory, with an eye on a 2-1 scoreline, in light of their superior xG metrics and head-to-head success.

    RiedRied
    Form DLLWL
    League ranking xG #4xGA #5xT #6xP/match #6Points #9
    Key players
    • Yussef NasraweCMxG 0.05 · xT 0.19
    • Moegamat Yusuf MaartCMxG 0.06 · xT 0.12
    • Evan Eghosa AisowierenFxG 0.40 · xT 0.00
    WolfsbergWolfsberg
    Form WDLDL
    League ranking xG #11xGA #9xT #12xP/match #9Points #7
    Key players
    • Giacomo VrioniFxG 0.50 · xT 0.04
    • Nicolas WimmerCBxG 0.01 · xT 0.07
    • Donis AvdijajFxG 0.09 · xT 0.05

    Match prediction: RiedWolfsberg

    Predicted score matrix

    Wolfsberg
    Ried
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–16.0%
    0–23.2%
    0–31.1%
    0–4+0.3%
    1
    1–010.6%
    1–111.4%
    1–25.7%
    1–31.9%
    1–4+0.6%
    2
    2–09.6%
    2–19.8%
    2–25.0%
    2–31.7%
    2–4+0.5%
    3
    3–05.6%
    3–15.8%
    3–22.9%
    3–31.0%
    3–4+0.3%
    4+
    4+–03.7%
    4+–13.8%
    4+–21.9%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-010%
    5. 5.0-06%
    Expected goals
    1,771,02
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.15EV+2%
    Over 2,553%
    @1.67

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    01 · 2 legs

    Safe

    • Ried to win54%
    • Over 1.5 goals77%

    Combined probability

    44%

    Fair odds

    2.28

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

    02 · 3 legs

    Balanced

    • Ried to win54%
    • Over 2.5 goals53%
    • Joris Boguo 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 score53%
    • Over 2.5 goals53%
    • Joris Boguo to score22%
    • Raffael Behounek to be booked19%

    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+).

    • 1 · Ried54% probability@2.20Bet365EV+20%reference odds
    • Both teams to score: No47% probability@2.25Bet365EV+5%reference odds
    • Under 2.547% probability@2.15Bet365EV+2%reference odds
    Bookmaker1 · RiedX2 · Wolfsberg
    Bet365
    EV+ 20%
    2.20
    3.502.88

    Odds updated 11 Sept, 05:04

    Statistics

    Head-to-head

    5 matches
    Ried 3Draw 1Wolfsberg 1
    Goals: 53 (⌀ 1,6)

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

    Key facts

    • SV Ried dominate this fixture historically: 3 wins to 1 in 5 meetings.
    xG & xGA per match — 3-game rolling average

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

    Ried
    Wolfsberg
    When goals are scored and conceded 2026
    Ried (610)
    Wolfsberg (66)
    Pass networks

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

    Ried
    Moegamat Yusuf Maart: 242 passningar, xT 0.57MaartOliver Steurer: 214 passningar, xT 0.39SteurerLukas Malicsek: 209 passningar, xT 0.72MalicsekSamuel Johansen Chukwudi: 204 passningar, xT 0.35ChukwudiStefan Schwab: 171 passningar, xT 0.28SchwabAndreas Leitner: 158 passningar, xT 0.36LeitnerYussef Nasrawe: 115 passningar, xT 0.53NasraweOliver Sorg: 111 passningar, xT 0.67SorgAnte Bajić: 87 passningar, xT 0.39BajićMartin Rasner: 41 passningar, xT 0.04RasnerJaedin Rhodes: 36 passningar, xT 0.56Rhodes
    Wolfsberg
    Raffael Behounek: 171 passningar, xT 0.19BehounekFabian Wohlmuth: 115 passningar, xT 0.59WohlmuthNicolas Wimmer: 112 passningar, xT 0.27WimmerMarco Sulzner: 101 passningar, xT 0.21SulznerCheikh Mamadou Diabaté: 87 passningar, xT -0.02DiabatéLukas Gütlbauer: 73 passningar, xT 0.14GütlbauerNikolas Polster: 73 passningar, xT 0.06PolsterAaron Sky Schwarz: 71 passningar, xT 0.62SchwarzOtar Mamageishvili: 69 passningar, xT 0.05MamageishviliMatteo Kitz: 48 passningar, xT 0.02KitzRene Renner: 43 passningar, xT 0.16Renner
    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.

    Ried
    Moegamat Yusuf Maart: 242 passningar, xT 0.57MaartOliver Steurer: 214 passningar, xT 0.39SteurerLukas Malicsek: 209 passningar, xT 0.72MalicsekSamuel Johansen Chukwudi: 204 passningar, xT 0.35ChukwudiStefan Schwab: 171 passningar, xT 0.28SchwabAndreas Leitner: 158 passningar, xT 0.36LeitnerYussef Nasrawe: 115 passningar, xT 0.53NasraweOliver Sorg: 111 passningar, xT 0.67SorgAnte Bajić: 87 passningar, xT 0.39BajićMartin Rasner: 41 passningar, xT 0.04RasnerJaedin Rhodes: 36 passningar, xT 0.56Rhodes
    Wolfsberg
    Raffael Behounek: 171 passningar, xT 0.19BehounekFabian Wohlmuth: 115 passningar, xT 0.59WohlmuthNicolas Wimmer: 112 passningar, xT 0.27WimmerMarco Sulzner: 101 passningar, xT 0.21SulznerCheikh Mamadou Diabaté: 87 passningar, xT -0.02DiabatéLukas Gütlbauer: 73 passningar, xT 0.14GütlbauerNikolas Polster: 73 passningar, xT 0.06PolsterAaron Sky Schwarz: 71 passningar, xT 0.62SchwarzOtar Mamageishvili: 69 passningar, xT 0.05MamageishviliMatteo Kitz: 48 passningar, xT 0.02KitzRene Renner: 43 passningar, xT 0.16Renner

    The teams in numbers

    PerformanceRiedWolfsberg
    Points45
    xPoints6.95.5
    xG per match1.70.89
    xGA per match1.51.9
    xG within 8s of winning the ball0.290.2
    xGA within 8s of losing the ball0.340.4
    Playing styleRiedWolfsberg
    Build-up efficiency0.290.33
    Field tilt0.60.28
    xT per match1.10.55
    xTA per match0.931.5
    Won balls, offensive half2923
    Pressing intensity0.220.24
    Pressing efficiency0.260.3
    Pressing efficiency, offensive half0.220.25
    Entries into the box per match147
    Entries into the box against1117
    Pass completion %0.760.66
    Pass completion % under pressure0.690.61
    Passes per match349230
    Passes against per match324391
    Switches of play per match22.320.7
    Long balls per match3231
    Set piecesRiedWolfsberg
    xG from free kicks0.110.02
    Corners per match4.53.5
    Corners against per match4.18.3
    xG per corner0.030.01
    xGA per corner against0.020.05
    First touch, offensive corners %0.430.28
    First touch, defensive corners %0.520.45
    OtherRiedWolfsberg
    Throw-in control0.70.65
    The goalkeepersAndreas Leitner (Ried)Lukas Gütlbauer (Wolfsberg)
    Saves1213
    Save %55%72%
    xG prevented36%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ried vs Wolfsberg according to our model?

    The model gives Ried a 54% win probability. Full 1X2 picture: Ried 54%, draw 26%, Wolfsberg 19%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.