Austrian Bundesliga22°10 km/h

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    HartbergHartbergCounter-attacks & crosses
    32
    RiedRiedPossession control
    The model's lean: 2 · Ried (40%)Best value by the model: Under 2,5 @ 1.96 (+11 %)

    Hartberg vs Ried · Austrian Bundesliga

    1 · Hartberg 30%X 29%40% Ried · 2

    Analysis: HartbergRied

    Sofia Andersson · · The model's read on the match · How the predictions work

    Ried enters the match against Hartberg as the model's favorite, holding a 40% chance of victory compared to Hartberg's 30%. Despite historical dominance by the hosts, having won all six of their head-to-head encounters, the statistical landscape tips in favor of the visitors. Ried's possession-based style should counter Hartberg's reliance on counter-attacks and crosses, particularly given the latter's poor xG of 0.59 per match against Ried's 1.7.

    The expected goals further emphasize this imbalance, with Ried projected at 1.25 compared to Hartberg's 1.17. The head-to-head sample, though perfect for Hartberg, is small enough to be overshadowed by current form and expected goals. With Hartberg conceding an xGA of 2.1 per match against Ried's more resilient 1.3, the visitors are statistically poised to control both the flow and outcome of the game.

    Despite a near-even chance of both teams scoring, the likelihood of under 2.5 goals sits at 57%, suggesting a tight, possibly low-scoring affair. The potential for a 1-1 draw stands at 13%, making it the most probable scoreline, though a narrow 0-1 win for Ried is close behind at 11%. The layer of tension lies in whether Hartberg can break their poor xG trend or if Ried can convert possession into decisive goals.

    The sharpest angle lies in the under 2.5 market. With Betsafe, Betsson, and Nordicbet all offering it at odds of 1.82, there is a 3% edge on the model’s assessment. This provides a solid betting avenue, especially given the model's inclination towards a controlled, low-scoring encounter.

    HartbergHartberg
    Form WLLLW
    League ranking xG #11xGA #10xT #11xP/match #10Points #11
    Key players
    • Tobias KainzRWxG 0.03 · xT 0.08
    • Angelo GattermayerFxG 0.10 · xT 0.05
    • Fabian WilfingerRWBxG 0.05 · xT 0.05
    RiedRied
    Form LDLLW
    League ranking xG #4xGA #5xT #6xP/match #5Points #8
    Key players
    • Stefan SchwabCDMxG 0.09 · xT 0.07
    • Moegamat Yusuf MaartCMxG 0.06 · xT 0.12
    • Yussef NasraweCMxG 0.04 · xT 0.08
    Final score
    32
    The model missed the outcome
    Predicted probabilities: Hartberg 30% · Draw 29% · Ried 40%

    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 - HartbergBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 11,87fair 14,55-18 %
    Hit
    Matchresultat - SV RiedBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,64fair 12,67-48 %
    Miss

    Match prediction: HartbergRied

    Predicted score matrix

    Ried
    Hartberg
    0
    1
    2
    3
    4+
    0
    0–09.3%
    0–110.8%
    0–27.0%
    0–32.9%
    0–4+1.2%
    1
    1–010.0%
    1–113.4%
    1–28.1%
    1–33.4%
    1–4+1.4%
    2
    2–06.1%
    2–17.6%
    2–24.7%
    2–32.0%
    2–4+0.8%
    3
    3–02.4%
    3–12.9%
    3–21.8%
    3–30.8%
    3–4+0.3%
    4+
    4+–00.9%
    4+–11.1%
    4+–20.7%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.1-010%
    4. 4.0-09%
    5. 5.1-28%
    Expected goals
    1,171,25
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @1.96EV+6%
    Over 2,543%
    @1.91

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Ried or draw (X2)66%
    • Under 3.5 goals78%

    Combined probability

    52%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Double chance Ried or draw (X2)66%
    • Under 2.5 goals57%
    • Kingstone Mutandwa 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 score50%
    • Over 2.5 goals43%
    • Elias Havel to score24%
    • Nikki Havenaar to be booked23%

    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 2.557% probability@1.96PinnacleEV+11%reference odds
    • 1 · Hartberg30% probability@3.64PinnacleEV+10%reference odds
    • X · Draw29% probability@3.73PinnacleEV+9%reference odds
    Bookmaker1 · HartbergX2 · Ried
    Betsafe
    EV+ 8%
    3.55
    3.401.98
    Betsson
    EV+ 8%
    3.55
    3.401.98
    Nordicbet
    EV+ 8%
    3.55
    3.401.98
    Pinnacle
    EV+ 10%
    3.64
    EV+ 9%
    3.73
    2.02

    Odds updated 30 Aug, 11:35

    Odds movement

    Market signal

    The market has moved clearly towards an Ried win since 24 August — the odds have shortened from 2.19 to 2.02 (−8%).

    1+16 %
    35 %25 %

    3.133.64

    X+4 %
    32 %22 %

    3.603.73

    2-8 %
    48 %38 %

    2.192.02

    Over 2,5-2 %
    55 %45 %

    1.941.91

    Pinnacle · 14 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    6 matches
    Hartberg 6Draw 0Ried 0
    Goals: 121 (⌀ 2,2)

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

    Key facts

    • TSV Hartberg dominate this fixture historically: 6 wins to 0 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    Hartberg
    Ried
    When goals are scored and conceded 2026
    Hartberg (26)
    Ried (47)
    Pass networks

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

    Hartberg
    Benjamin Markus: 134 passningar, xT 0.25MarkusFabian Wilfinger: 128 passningar, xT 0.18WilfingerPaul Komposch: 124 passningar, xT 0.32KomposchÁrmin Pécsi: 119 passningar, xT 0.01PécsiHabib Anas Coulibaly: 99 passningar, xT 0.17CoulibalyTobias Kainz: 98 passningar, xT 0.26KainzLukas Spendlhofer: 92 passningar, xT 0.2SpendlhoferKonstantin Schopp: 87 passningar, xT 0.14SchoppOliver Lukic: 55 passningar, xT 0.13LukicMarco Hoffmann: 45 passningar, xT 0.04HoffmannYouba Diarra: 44 passningar, xT 0.15Diarra
    Ried
    Moegamat Yusuf Maart: 182 passningar, xT 0.46MaartLukas Malicsek: 167 passningar, xT 0.69MalicsekOliver Steurer: 166 passningar, xT 0.33SteurerSamuel Johansen Chukwudi: 157 passningar, xT 0.19ChukwudiStefan Schwab: 134 passningar, xT 0.26SchwabAndreas Leitner: 124 passningar, xT 0.27LeitnerOliver Sorg: 98 passningar, xT 0.57SorgYussef Nasrawe: 78 passningar, xT 0.13NasraweAnte Bajić: 67 passningar, xT 0.39BajićJaedin Rhodes: 36 passningar, xT 0.56RhodesMartin Rasner: 27 passningar, xT 0.04Rasner
    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.

    Hartberg
    Benjamin Markus: 134 passningar, xT 0.25MarkusFabian Wilfinger: 128 passningar, xT 0.18WilfingerPaul Komposch: 124 passningar, xT 0.32KomposchÁrmin Pécsi: 119 passningar, xT 0.01PécsiHabib Anas Coulibaly: 99 passningar, xT 0.17CoulibalyTobias Kainz: 98 passningar, xT 0.26KainzLukas Spendlhofer: 92 passningar, xT 0.2SpendlhoferKonstantin Schopp: 87 passningar, xT 0.14SchoppOliver Lukic: 55 passningar, xT 0.13LukicMarco Hoffmann: 45 passningar, xT 0.04HoffmannYouba Diarra: 44 passningar, xT 0.15Diarra
    Ried
    Moegamat Yusuf Maart: 182 passningar, xT 0.46MaartLukas Malicsek: 167 passningar, xT 0.69MalicsekOliver Steurer: 166 passningar, xT 0.33SteurerSamuel Johansen Chukwudi: 157 passningar, xT 0.19ChukwudiStefan Schwab: 134 passningar, xT 0.26SchwabAndreas Leitner: 124 passningar, xT 0.27LeitnerOliver Sorg: 98 passningar, xT 0.57SorgYussef Nasrawe: 78 passningar, xT 0.13NasraweAnte Bajić: 67 passningar, xT 0.39BajićJaedin Rhodes: 36 passningar, xT 0.56RhodesMartin Rasner: 27 passningar, xT 0.04Rasner

    The teams in numbers

    PerformanceHartbergRied
    Points34
    xPoints3.36.2
    xG per match0.591.7
    xGA per match2.11.3
    xG within 8s of winning the ball0.140.29
    xGA within 8s of losing the ball0.40.34
    Playing styleHartbergRied
    Build-up efficiency0.280.28
    Field tilt0.240.58
    xT per match0.71.1
    xTA per match2.10.91
    Won balls, offensive half1831
    Pressing intensity0.250.22
    Pressing efficiency0.270.25
    Pressing efficiency, offensive half0.190.2
    Entries into the box per match912
    Entries into the box against1912
    Pass completion %0.730.75
    Pass completion % under pressure0.670.67
    Passes per match297338
    Passes against per match438340
    Switches of play per match22.821.2
    Long balls per match3431
    Set piecesHartbergRied
    xG from free kicks0.020.14
    Corners per match3.94.7
    Corners against per match11.14.4
    xG per corner0.030.04
    xGA per corner against0.030.01
    First touch, offensive corners %0.40.37
    First touch, defensive corners %0.60.5
    OtherHartbergRied
    Throw-in control0.740.68
    The goalkeepersÁrmin Pécsi (Hartberg)Andreas Leitner (Ried)
    Saves1610
    Save %73%59%
    xG prevented66%51%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hartberg vs Ried according to our model?

    The model gives Ried a 40% win probability. Full 1X2 picture: Hartberg 30%, draw 29%, Ried 40%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.