Swedish SuperettanMyresjöhus Arena, Växjö3°21 km/h

    Läs på svenska
    ÖsterÖsterCounter-attacks & crosses
    vs
    OddevoldOddevoldLow block & direct
    The model's lean: 2 · Oddevold (39%)Soft drawBest value by the model: 1 · Öster @ 2.91 (+1 %)

    Öster vs Oddevold · Swedish Superettan

    1 · Öster 35%X 26%39% Oddevold · 2

    Prediction summary

    BetBuilders AI model prediction for Öster vs Oddevold (Swedish Superettan, Saturday, 17 October 2026): Öster win 35%, draw 26%, Oddevold win 39%. Expected goals (xG): Öster 1.53, Oddevold 1.40. Most likely score: 1-1 (12%). Over 2.5 goals 56%, both teams to score 59%. Double chance: Öster or draw 61%, Oddevold or draw 65%. Prediction updated Friday, 9 October 2026.

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    Analysis: Öster – Oddevold

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

    TEXT: A striking feature in this matchup is the model's probabilities: Oddevold holds a slight edge at 39%, while Öster sits at 35%. This suggests that the visitors have a sharper edge than bookmakers might reflect. In terms of expected goals, Öster actually leads with 1.53 to Oddevold's 1.40, indicating a closely contested battle. The most likely scorelines also reflect this tight matchup, with the model nodding towards a 1-1 draw at 12%.

    Despite Öster's strong home win rate at 57% across 28 matches, their recent head-to-head record against Oddevold is small and may not significantly influence the outcome here. A deeper look into the metrics—like xPoints and xGA—reinforces Oddevold's superior form this season. They boast xPoints of 43.1 compared to Öster's 30.6, while also maintaining a much sturdier defense with only 1.1 xGA per match.

    Given these insights, Oddevold seems undervalued at odds around 2.60 with Bet365. The potential for both teams scoring is high at 59%, and with a 56% chance of over 2.5 goals, expecting a lively game isn't unreasonable. A 1-2 win for Oddevold is a plausible outcome, predicated on their stronger all-around metrics in this matchup.

    ÖsterÖster
    Form LLWLL
    League ranking xG #12xGA #16xT #11xP/match #13Points #7
    Key players
    • Tatu VarmanenRBxG 0.02 · xT 0.13
    • Mattis AdolfssonCBxG 0.07 · xT 0.09
    • Raymond AdjeiRBxG 0.06 · xT 0.08
    OddevoldOddevold
    Form WWDLW
    League ranking xG #4xGA #3xT #7xP/match #2Points #6
    Key players
    • Alexander AlmqvistLBxG 0.06 · xT 0.19
    • Oscar Iglicar BerntssonLWxG 0.14 · xT 0.18
    • Gustav ForssellFxG 0.21 · xT 0.07

    Match prediction: Öster – Oddevold

    Predicted score matrix

    Oddevold →
    Öster →
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–17.1%
    0–25.2%
    0–32.4%
    0–4+1.1%
    1
    1–07.9%
    1–111.8%
    1–28.0%
    1–33.7%
    1–4+1.8%
    2
    2–06.3%
    2–18.8%
    2–26.1%
    2–32.8%
    2–4+1.4%
    3
    3–03.2%
    3–14.5%
    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
    1,53–1,40
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.18
    Over 2,556%
    @1.62

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Oddevold or draw (X2)60%
    • Over 1.5 goals79%

    Combined probability

    47%

    Fair odds

    2.13

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

    02 · 3 legs

    Balanced

    • Double chance Oddevold or draw (X2)60%
    • Over 2.5 goals56%
    • Leonardo Farah Shahin to score19%

    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%
    • Samuel Burakowsky to score20%
    • Erik Hedenquist to be booked20%

    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 · Öster35% probability@2.91BetsafeEV+1%reference odds
    • 1 · Öster35% probability@2.91NordicbetEV+1%reference odds
    Bookmaker1 · ÖsterX2 · Oddevold
    Betsafe
    EV+ 1%
    2.91
    3.562.28
    LeoVegas2.853.502.20
    Nordicbet
    EV+ 1%
    2.91
    3.562.28

    Odds updated 14 Oct, 17:37

    Odds movement

    Market signal

    The market has moved clearly towards an Oddevold win since 10 October — the odds have shortened from 2.70 to 2.20 (−19%).

    1+24 %
    41 %31 %

    2.30 → 2.85

    X+3 %
    31 %21 %

    3.40 → 3.50

    2-19 %
    43 %33 %

    2.70 → 2.20

    LeoVegas · 9 recorded price levels · 10/10/2026 → 14/10/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    3 matches
    Öster 2Draw 1Oddevold 0
    Goals: 6–2 (⌀ 2,7)

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

    Key facts

    • Östers IF win 57% of their home matches all-time (28 played).
    xG & xGA per match — 3-game rolling average

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

    Öster
    Oddevold
    When goals are scored and conceded — 2026
    Öster (38–40)
    Oddevold (40–34)
    Pass networks

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

    Öster
    Sebastian Hedlund: 293 passningar, xT 0.2HedlundDennis Olsson: 235 passningar, xT 2.56OlssonKingsley Gyamfi: 215 passningar, xT 0.16GyamfiHannes Bladh Pijaca: 194 passningar, xT 0.35PijacaTatu Varmanen: 189 passningar, xT 0.81VarmanenKeyano Marrah: 134 passningar, xT 0.01MarrahDaniel Ask: 129 passningar, xT 0.44AskOscar Uddenäs: 116 passningar, xT 0.33UddenäsCarl Lundahl Persson: 101 passningar, xT 0.17PerssonFilip Wilthorn Olsson: 74 passningar, xT 0.41OlssonMagnus Christensen: 63 passningar, xT -0.02Christensen
    Oddevold
    Jesper Merbom Adolfsson: 261 passningar, xT 1.45AdolfssonGabriel Sandberg: 209 passningar, xT 0.24SandbergOliver Thoreson: 190 passningar, xT 0.31ThoresonElias Forsberg: 165 passningar, xT 0.07ForsbergOskar Cotton: 127 passningar, xT 0.11CottonHugo Engström: 111 passningar, xT 0.67EngströmMattias Bahno: 105 passningar, xT 0.07BahnoDaniel Krezic: 75 passningar, xT 0.32KrezicMorten Sætra: 70 passningar, xT 0.37SætraLeonardo Farah Shahin: 70 passningar, xT 0.59ShahinOscar Iglicar Berntsson: 57 passningar, xT 0.59Berntsson
    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.

    Öster
    Sebastian Hedlund: 293 passningar, xT 0.2HedlundDennis Olsson: 235 passningar, xT 2.56OlssonKingsley Gyamfi: 215 passningar, xT 0.16GyamfiHannes Bladh Pijaca: 194 passningar, xT 0.35PijacaTatu Varmanen: 189 passningar, xT 0.81VarmanenKeyano Marrah: 134 passningar, xT 0.01MarrahDaniel Ask: 129 passningar, xT 0.44AskOscar Uddenäs: 116 passningar, xT 0.33UddenäsCarl Lundahl Persson: 101 passningar, xT 0.17PerssonFilip Wilthorn Olsson: 74 passningar, xT 0.41OlssonMagnus Christensen: 63 passningar, xT -0.02Christensen
    Oddevold
    Jesper Merbom Adolfsson: 261 passningar, xT 1.45AdolfssonGabriel Sandberg: 209 passningar, xT 0.24SandbergOliver Thoreson: 190 passningar, xT 0.31ThoresonElias Forsberg: 165 passningar, xT 0.07ForsbergOskar Cotton: 127 passningar, xT 0.11CottonHugo Engström: 111 passningar, xT 0.67EngströmMattias Bahno: 105 passningar, xT 0.07BahnoDaniel Krezic: 75 passningar, xT 0.32KrezicMorten Sætra: 70 passningar, xT 0.37SætraLeonardo Farah Shahin: 70 passningar, xT 0.59ShahinOscar Iglicar Berntsson: 57 passningar, xT 0.59Berntsson

    The teams in numbers

    PerformanceÖsterOddevold
    Points3639
    xPoints30.643.1
    xG per match1.21.4
    xGA per match1.71.1
    xG within 8s of winning the ball0.220.28
    xGA within 8s of losing the ball0.310.21
    Playing styleÖsterOddevold
    Build-up efficiency0.350.37
    Field tilt0.450.44
    xT per match1.41.5
    xTA per match1.81.4
    Won balls, offensive half2840
    Pressing intensity0.540.55
    Pressing efficiency0.260.26
    Pressing efficiency, offensive half0.270.28
    Entries into the box per match1314
    Entries into the box against2014
    Pass completion %0.790.75
    Pass completion % under pressure0.740.7
    Passes per match381330
    Passes against per match387451
    Switches of play per match14.116.1
    Long balls per match2929
    Set piecesÖsterOddevold
    xG from free kicks0.210.12
    Corners per match5.15.8
    Corners against per match6.34.3
    xG per corner0.030.03
    xGA per corner against0.030.04
    First touch, offensive corners %0.40.26
    First touch, defensive corners %0.570.54
    OtherÖsterOddevold
    Throw-in control0.570.45
    The goalkeepersCarl Lundahl Persson (Öster)Morten Sætra (Oddevold)
    Saves11272
    Save %76%71%
    xG prevented54%51%
    Claims149 (86%)159 (94%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Öster vs Oddevold according to our model?

    The model gives Oddevold a 39% win probability. Full 1X2 picture: Öster 35%, draw 26%, Oddevold 39%.

    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.

    How many goals are expected in Öster vs Oddevold?

    The model expects 1.53 goals (xG) for Öster and 1.40 for Oddevold, 2.93 in total.

    What does the model say about double chance?

    Öster or draw (1X) 61%, Oddevold or draw (X2) 65% 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.