Swedish SuperettanNP3 Arena, Sundsvall13°1,6 mm19 km/h

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    GIF SundsvallGIF SundsvallLow block & direct
    vs
    Örebro SKÖrebro SKPossession control
    The model's lean: 2 · Örebro SK (43%)Best value by the model: 1 · GIF Sundsvall @ 3.72 (+9 %)

    GIF SundsvallÖrebro SK · Swedish Superettan

    1 · GIF Sundsvall 29%X 28%43% Örebro SK · 2

    Analysis: GIF SundsvallÖrebro SK

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT:

    There's a tension here: Örebro SK is favored by the model, yet GIF Sundsvall boasts a better xPoints tally—29.0 to Örebro's 23.3—and historically has the upper hand in this matchup. The model shows a clear lean toward the visitors with a 43% win probability, but the hosts' underlying numbers suggest they might defy those odds. This is not merely a clash of form but of playing styles as well, as Sundsvall's direct approach could disrupt Örebro's possession-heavy game.

    Looking at expected goals, both teams are nearly identical: Sundsvall at 1.30 and Örebro at 1.42. This suggests a closely contested battle where marginal gains might tip the scales. Despite the historical dominance of Sundsvall, the sample size of five matches is small and offers limited predictive power compared to current form and xG data.

    The odds favor an over 2.5 goals scenario at 51%, with both teams to score at 55%. Yet, the most likely scoreline according to the model is a 1-1 draw at 13%, reflecting the balance in expected goals. While Örebro has the edge in current standings, Sundsvall's xPoints suggest they could outperform expectations, especially on home turf.

    In terms of betting value, the model implies an advantage for Örebro SK. This assessment, however, is complicated by Sundsvall's better xPoints and marginally superior xG performance. Still, a 1-1 draw seems plausible, with a slight tilt toward over 2.5 goals given the balanced attacking numbers, though the visitors' control-oriented style could still make life difficult for Sundsvall's direct attacks.

    Ultimately, the sharpest angle may lie in betting on a tight contest with both teams finding the net. Sundsvall's knack for punching above their weight in expected metrics suggests they're not to be underestimated, even if the odds lean toward Örebro.

    GIF SundsvallGIF Sundsvall
    Form LDLWW
    League ranking xG #15xGA #11xT #16xP/match #12Points #16
    Key players
    • Suwaibou KebbehFxG 0.32 · xT 0.03
    • Taiki KagayamaFxG 0.10 · xT 0.11
    • Miguel SandbergLWxG 0.07 · xT 0.24
    Örebro SKÖrebro SK
    Form LLDWD
    League ranking xG #16xGA #10xT #14xP/match #15Points #15
    Key players
    • Antonio YakoubFxG 0.24 · xT 0.05
    • Christopher RedenstrandLWxG 0.04 · xT 0.42
    • Rasmus Wiedesheim-PaulFxG 0.39 · xT -0.02

    Match prediction: GIF SundsvallÖrebro SK

    Predicted score matrix

    Örebro SK
    GIF Sundsvall
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–19.0%
    0–26.6%
    0–33.1%
    0–4+1.5%
    1
    1–08.2%
    1–112.5%
    1–28.6%
    1–34.1%
    1–4+2.0%
    2
    2–05.6%
    2–17.9%
    2–25.6%
    2–32.7%
    2–4+1.3%
    3
    3–02.4%
    3–13.4%
    3–22.4%
    3–31.1%
    3–4+0.6%
    4+
    4+–01.0%
    4+–11.5%
    4+–21.0%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-19%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,301,42
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.04
    Over 2,551%
    @1.80

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Örebro SK or draw (X2)66%
    • Over 1.5 goals76%

    Combined probability

    50%

    Fair odds

    2.00

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

    02 · 3 legs

    Balanced

    • Double chance Örebro SK or draw (X2)66%
    • Over 2.5 goals51%
    • Antonio Yakoub 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 score55%
    • Over 2.5 goals51%
    • Suwaibou Kebbeh to score26%
    • Hugo Aviander 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 · GIF Sundsvall29% probability@3.72BetsafeEV+9%reference odds
    • 1 · GIF Sundsvall29% probability@3.72BetssonEV+9%reference odds
    • 1 · GIF Sundsvall29% probability@3.72NordicbetEV+9%reference odds
    Bookmaker1 · GIF SundsvallX2 · Örebro SK
    Betfair Exchange1.101.101.10
    Betsafe
    EV+ 9%
    3.72
    3.501.97
    Betsson
    EV+ 9%
    3.72
    3.501.97
    Nordicbet
    EV+ 9%
    3.72
    3.501.97
    Pinnacle
    EV+ 8%
    3.66
    EV+ 2%
    3.71
    1.95

    Odds updated 9 Sept, 20:31

    Odds movement

    1-3 %
    28 %23 %

    3.773.66

    X-3 %
    28 %23 %

    3.813.71

    2+5 %
    52 %47 %

    1.851.95

    Over 2,5-1 %
    56 %51 %

    1.791.78

    Pinnacle · 9 recorded price levels · 08/09/2026 → 09/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    GIF Sundsvall 2Draw 2Örebro SK 1
    Goals: 55 (⌀ 2)

    Head-to-head based on Superettan data since 2024.

    Key facts

    • GIF Sundsvall dominate this fixture historically: 2 wins to 1 in 5 meetings.
    xG & xGA per match — 3-game rolling average

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

    GIF Sundsvall
    Örebro SK
    When goals are scored and conceded 2026
    GIF Sundsvall (1644)
    Örebro SK (2133)
    Pass networks

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

    GIF Sundsvall
    Lucas Forsberg: 235 passningar, xT 0.48ForsbergAlper Demirol: 228 passningar, xT 1.36DemirolMalte Hallin: 168 passningar, xT 0.34HallinJakob Hedenquist: 158 passningar, xT 0.11HedenquistAlieu Atlee Manneh: 136 passningar, xT 0.36MannehLudvig Nåvik: 112 passningar, xT 0.27NåvikEdvard Carrick: 90 passningar, xT 0.02CarrickTaiki Kagayama: 88 passningar, xT 0.49KagayamaJonas Olsson: 87 passningar, xT 0.08OlssonEron Gojani: 68 passningar, xT 0.74GojaniMarc Manchon I Armans: 64 passningar, xT 0.5Armans
    Örebro SK
    Victor Sandberg: 235 passningar, xT 0.45SandbergManasse Kusu: 219 passningar, xT -0.05KusuJohn Stenberg: 218 passningar, xT 0.78StenbergJacob Ouro Ortmark: 157 passningar, xT 0.38OrtmarkAhmed Yasin: 152 passningar, xT 0.61YasinChristopher Redenstrand: 140 passningar, xT 1.06RedenstrandJetmir Haliti: 134 passningar, xT 0.13HalitiSamuel Wikman: 133 passningar, xT 1.57WikmanErik McCue: 107 passningar, xT 0.15McCueAntonio Yakoub: 82 passningar, xT 0.01YakoubDino Salihovic: 80 passningar, xT 0.09Salihovic
    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.

    GIF Sundsvall
    Lucas Forsberg: 235 passningar, xT 0.48ForsbergAlper Demirol: 228 passningar, xT 1.36DemirolMalte Hallin: 168 passningar, xT 0.34HallinJakob Hedenquist: 158 passningar, xT 0.11HedenquistAlieu Atlee Manneh: 136 passningar, xT 0.36MannehLudvig Nåvik: 112 passningar, xT 0.27NåvikEdvard Carrick: 90 passningar, xT 0.02CarrickTaiki Kagayama: 88 passningar, xT 0.49KagayamaJonas Olsson: 87 passningar, xT 0.08OlssonEron Gojani: 68 passningar, xT 0.74GojaniMarc Manchon I Armans: 64 passningar, xT 0.5Armans
    Örebro SK
    Victor Sandberg: 235 passningar, xT 0.45SandbergManasse Kusu: 219 passningar, xT -0.05KusuJohn Stenberg: 218 passningar, xT 0.78StenbergJacob Ouro Ortmark: 157 passningar, xT 0.38OrtmarkAhmed Yasin: 152 passningar, xT 0.61YasinChristopher Redenstrand: 140 passningar, xT 1.06RedenstrandJetmir Haliti: 134 passningar, xT 0.13HalitiSamuel Wikman: 133 passningar, xT 1.57WikmanErik McCue: 107 passningar, xT 0.15McCueAntonio Yakoub: 82 passningar, xT 0.01YakoubDino Salihovic: 80 passningar, xT 0.09Salihovic

    The teams in numbers

    PerformanceGIF SundsvallÖrebro SK
    Points1620
    xPoints2923.3
    xG per match0.950.94
    xGA per match1.41.4
    xG within 8s of winning the ball0.230.15
    xGA within 8s of losing the ball0.240.26
    Playing styleGIF SundsvallÖrebro SK
    Build-up efficiency0.30.37
    Field tilt0.370.51
    xT per match1.11.3
    xTA per match1.71.5
    Won balls, offensive half2829
    Pressing intensity0.50.57
    Pressing efficiency0.240.26
    Pressing efficiency, offensive half0.250.3
    Entries into the box per match1112
    Entries into the box against1415
    Pass completion %0.760.81
    Pass completion % under pressure0.690.76
    Passes per match306409
    Passes against per match466379
    Switches of play per match1716.1
    Long balls per match3029
    Set piecesGIF SundsvallÖrebro SK
    xG from free kicks0.060.13
    Corners per match4.84.8
    Corners against per match5.35.2
    xG per corner0.020.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.460.48
    First touch, defensive corners %0.590.64
    OtherGIF SundsvallÖrebro SK
    Throw-in control0.570.53
    The goalkeepersJonas Olsson (GIF Sundsvall)Jakub Ojrzynski (Örebro SK)
    Saves7881
    Save %64%71%
    xG prevented44%59%
    Claims129 (93%)121 (90%)

    Frequently asked questions

    Who wins GIF Sundsvall vs Örebro SK according to our model?

    The model gives Örebro SK a 43% win probability. Full 1X2 picture: GIF Sundsvall 29%, draw 28%, Örebro SK 43%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.