Austrian Bundesliga6°0,1 mm4 km/h

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    Sturm GrazSturm GrazPossession & high press
    2–2
    RiedRiedPossession control
    The model's lean: 1 · Sturm Graz (54%)Best value by the model: X · Draw @ 4.48 (+16 %)

    Sturm Graz vs Ried · Austrian Bundesliga

    1 · Sturm Graz 54%X 26%21% Ried · 2

    Prediction summary

    Final score 2–2. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Sturm Graz vs Ried (Austrian Bundesliga, Sunday, 25 October 2026): Sturm Graz win 54%, draw 26%, Ried win 21%. Expected goals (xG): Sturm Graz 1.97, Ried 1.04. Most likely score: 1-1 (10%). Over 2.5 goals 58%, both teams to score 56%. Double chance: Sturm Graz or draw 79%, Ried or draw 46%. Prediction updated Friday, 16 October 2026.

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    Analysis: Sturm Graz – Ried

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

    Sturm Graz's 54% win probability against Ried is backed by a solid head-to-head record since 2022, with three wins and a draw in their last four encounters. Yet, the visitors are in excellent form, riding a three-game winning streak and having found the net in nine consecutive league matches. This clash of styles—Sturm's high pressing and possession against Ried's control and recent scoring consistency—sets up an intriguing contest.

    Sturm's home advantage is substantial, winning 62% of their all-time matches in Graz. However, the expected goals figures hint at a closer contest than those historical stats suggest. While Sturm Graz's xG of 1.8 slightly trails Ried's 1.9, the visitors' ability to score in recent games levels the playing field. Ried's xGA of 1.6 compared to Sturm's 1.3 further suggests that the hosts might control the game defensively, making it tough for Ried to continue their scoring streak.

    The model's most likely scorelines—1-1, 2-1, and 2-0—all reflect the slim margins that could define this match. Both teams are expected to score, with a 56% probability, but the 58% likelihood of over 2.5 goals does not fully align with the expected goals, suggesting a tight match where defenses may play a crucial role.

    Despite the model's slight lean towards a higher-scoring affair, there is value in the under 2.5 goals market. Betsafe and Nordicbet offer odds of 2.48, which represents a 4% edge against the model's 42% probability. For slightly safer ground, the under 3.5 at odds of 1.58 with Betsafe presents a smaller but still notable 2% edge, considering the tactical setups and form lines.

    Ultimately, the consistent metrics lead us towards a likely 2-1 victory for Sturm Graz, but the value lies in anticipating a more restrained scoreline.

    Sturm GrazSturm Graz
    Form LWLWW
    League ranking xG #5xGA #4xT #4xP/match #5Points #4
    Key players
    • Jon Gorenc StankovicCMxG 0.06 · xT 0.15
    • Emran SogloLWBxG 0.03 · xT 0.27
    • Arjan MalicCBxG 0.06 · xT 0.06
    RiedRied
    Form LDWWW
    League ranking xG #4xGA #6xT #6xP/match #4Points #5
    Key players
    • Philipp PomerLWBxG 0.11 · xT 0.24
    • Moegamat Yusuf MaartCMxG 0.04 · xT 0.09
    • Yussef NasraweCMxG 0.04 · xT 0.15
    Final score
    2 – 2
    The model missed the outcome
    Predicted probabilities: Sturm Graz 54% · Draw 26% · Ried 21%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - SK Sturm GrazBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,82fair 5,39-29 %
    Miss
    Matchresultat - SV RiedBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,50fair 19,43-46 %
    Miss

    Match prediction: Sturm Graz – Ried

    Predicted score matrix

    Ried →
    Sturm Graz →
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–14.8%
    0–22.7%
    0–30.9%
    0–4+0.3%
    1
    1–09.4%
    1–110.4%
    1–25.2%
    1–31.8%
    1–4+0.6%
    2
    2–09.6%
    2–19.9%
    2–25.2%
    2–31.8%
    2–4+0.6%
    3
    3–06.3%
    3–16.5%
    3–23.4%
    3–31.2%
    3–4+0.4%
    4+
    4+–04.9%
    4+–15.1%
    4+–22.6%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-010%
    4. 4.1-09%
    5. 5.3-17%
    Expected goals
    1,97–1,04
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.72EV+14%
    Over 2,558%
    @1.44

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Sturm Graz to win54%
    • Over 1.5 goals81%

    Combined probability

    49%

    Fair odds

    2.03

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

    02 · 3 legs

    Balanced

    • Sturm Graz to win54%
    • Over 2.5 goals58%
    • Jon Gorenc Stankovič to score39%

    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 goals58%
    • Jon Gorenc Stankovič to score39%
    • Samuel Johansen Chukwudi to be booked25%

    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+).

    • X · Draw26% probability@4.48PinnacleEV+16%reference odds
    • Under 2.542% probability@2.72BetsafeEV+14%reference odds
    • Under 2.542% probability@2.72NordicbetEV+14%reference odds
    Bookmaker1 · Sturm GrazX2 · Ried
    Betfair Exchange1.121.121.12
    Betsafe1.62
    EV+ 5%
    4.05
    4.40
    LeoVegas1.64
    EV+ 9%
    4.20
    4.33
    Nordicbet1.62
    EV+ 5%
    4.05
    4.40
    Pinnacle1.67
    EV+ 16%
    4.48
    4.57

    Odds updated 25 Oct, 12:35

    Odds movement

    1-1 %
    59 %54 %

    1.69 → 1.67

    X+6 %
    25 %20 %

    4.22 → 4.48

    2+6 %
    24 %19 %

    4.33 → 4.57

    Pinnacle · 12 recorded price levels · 22/10/2026 → 25/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Sturm Graz 3Draw 1Ried 0
    Goals: 7–3 (⌀ 2,5)

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

    Key facts

    • SV Ried come into this round on 3 straight wins.
    • SV Ried have scored in 9 consecutive league matches.
    • SK Sturm Graz win 62% of their home matches all-time (68 played).
    xG & xGA per match — 3-game rolling average

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

    Sturm Graz
    Ried
    When goals are scored and conceded — 2026
    Sturm Graz (16–10)
    Ried (16–15)
    Pass networks

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

    Sturm Graz
    Jon Gorenc Stankovic: 126 passningar, xT 0.53StankovicPaul Koller: 115 passningar, xT 0.2KollerArjan Malic: 108 passningar, xT 0.15MalicJürgen Heil: 108 passningar, xT 0.46HeilJoshua Quarshie: 82 passningar, xT 0.08QuarshieSimon Seidl: 76 passningar, xT 0.79SeidlJacob Peter Hödl: 75 passningar, xT 0.06HödlValmir Matoshi: 66 passningar, xT 0.58MatoshiLuca Weinhandl: 65 passningar, xT 1.06WeinhandlDaniil Khudyakov: 63 passningar, xT 0.08KhudyakovAlbert Vallci: 56 passningar, xT 0.11Vallci
    Ried
    Moegamat Yusuf Maart: 223 passningar, xT 0.31MaartOliver Steurer: 163 passningar, xT 0.16SteurerSamuel Johansen Chukwudi: 152 passningar, xT 0.3ChukwudiStefan Schwab: 136 passningar, xT 0.29SchwabAndreas Leitner: 132 passningar, xT 0.28LeitnerPhilipp Pomer: 113 passningar, xT 0.95PomerMartin Rasner: 97 passningar, xT 0.33RasnerAnte Bajić: 83 passningar, xT 0.31BajićYussef Nasrawe: 66 passningar, xT 0.42NasraweFabian Rossdorfer: 57 passningar, xT 0.16RossdorferDejan Radonjic: 56 passningar, xT 0.11Radonjic
    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.

    Sturm Graz
    Jon Gorenc Stankovic: 126 passningar, xT 0.53StankovicPaul Koller: 115 passningar, xT 0.2KollerArjan Malic: 108 passningar, xT 0.15MalicJürgen Heil: 108 passningar, xT 0.46HeilJoshua Quarshie: 82 passningar, xT 0.08QuarshieSimon Seidl: 76 passningar, xT 0.79SeidlJacob Peter Hödl: 75 passningar, xT 0.06HödlValmir Matoshi: 66 passningar, xT 0.58MatoshiLuca Weinhandl: 65 passningar, xT 1.06WeinhandlDaniil Khudyakov: 63 passningar, xT 0.08KhudyakovAlbert Vallci: 56 passningar, xT 0.11Vallci
    Ried
    Moegamat Yusuf Maart: 223 passningar, xT 0.31MaartOliver Steurer: 163 passningar, xT 0.16SteurerSamuel Johansen Chukwudi: 152 passningar, xT 0.3ChukwudiStefan Schwab: 136 passningar, xT 0.29SchwabAndreas Leitner: 132 passningar, xT 0.28LeitnerPhilipp Pomer: 113 passningar, xT 0.95PomerMartin Rasner: 97 passningar, xT 0.33RasnerAnte Bajić: 83 passningar, xT 0.31BajićYussef Nasrawe: 66 passningar, xT 0.42NasraweFabian Rossdorfer: 57 passningar, xT 0.16RossdorferDejan Radonjic: 56 passningar, xT 0.11Radonjic

    The teams in numbers

    PerformanceSturm GrazRied
    Points1714
    xPoints14.314.6
    xG per match1.81.9
    xGA per match1.31.6
    xG within 8s of winning the ball0.330.23
    xGA within 8s of losing the ball0.20.31
    Playing styleSturm GrazRied
    Build-up efficiency0.310.28
    Field tilt0.570.48
    xT per match1.31
    xTA per match0.891.1
    Won balls, offensive half3126
    Pressing intensity0.240.23
    Pressing efficiency0.370.26
    Pressing efficiency, offensive half0.350.22
    Entries into the box per match1512
    Entries into the box against1215
    Pass completion %0.670.74
    Pass completion % under pressure0.620.68
    Passes per match266313
    Passes against per match272392
    Switches of play per match18.919.6
    Long balls per match2828
    Set piecesSturm GrazRied
    xG from free kicks0.040.07
    Corners per match7.54
    Corners against per match4.46
    xG per corner0.020.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.350.39
    First touch, defensive corners %0.570.56
    OtherSturm GrazRied
    Throw-in control0.740.7
    The goalkeepersDaniil Khudyakov (Sturm Graz)Andreas Leitner (Ried)
    Saves1330
    Save %68%67%
    xG prevented62%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sturm Graz vs Ried according to our model?

    The model gives Sturm Graz a 54% win probability. Full 1X2 picture: Sturm Graz 54%, draw 26%, Ried 21%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in Sturm Graz vs Ried?

    The model expects 1.97 goals (xG) for Sturm Graz and 1.04 for Ried, 3.01 in total.

    What does the model say about double chance?

    Sturm Graz or draw (1X) 79%, Ried or draw (X2) 46% and no draw (12) 74%.

    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.