Swedish SuperettanJernvallen, Sandviken15°6,7 mm18 km/h

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    SandvikenSandvikenPossession control
    01
    OddevoldOddevoldLow block & direct
    The model's lean: 1 · Sandviken (39%)Best value by the model: 2 · Oddevold @ 3.82 (+37 %)

    SandvikenOddevold · Swedish Superettan

    1 · Sandviken 39%X 25%36% Oddevold · 2

    Analysis: SandvikenOddevold

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Sandvikens IF will rely heavily on their possession control to tilt the odds slightly in their favor in this clash against IK Oddevold. Despite only a modest edge in the model, the home side's propensity for holding the ball could be crucial against a team like Oddevold, who prefer to sit deep and strike directly. The hosts' expected goals metric of 1.65 hints at a solid offensive output, yet the rain might act as a dampener on their fluid style.

    Oddevold, meanwhile, comes into this match with a marginal advantage in the league table and a noticeable edge in xPoints. Their defensive resilience, reflected in an xGA of 1.1 per match, suggests they won't easily roll over. Despite conceding control, Oddevold has shown they can capitalize on their direct play, making them a threat on the break, especially given Sandviken's tendency to push forward.

    In head-to-head encounters since 2024, both teams have been evenly matched, each securing one win alongside three draws in the small sample size. This history suggests a balanced matchup yet points more heavily towards current form and tactical tendencies. The model indicates a 1-1 draw as the most likely scenario, and with a 59% chance of over 2.5 goals, bettors could expect both teams to find the net.

    Considering the betting landscape, the value lies with the visitors. Odds of 3.01 offered by Betsafe, Betsson, and Nordicbet present an 8% edge on Oddevold, according to the model's 36% probability assessment. It's a bet that weighs the visitors' potential to exploit Sandviken’s aggressive play while also managing the conditions effectively. Ending the day, such a calculated punt could indeed pay the bills, proving again that a methodical approach often trumps chasing big odds.

    SandvikenSandviken
    Form WLDDW
    League ranking xG #2xGA #5xT #9xP/match #5Points #9
    Key players
    • Adam KianiLWxG 0.10 · xT 0.16
    • Linus TagessonRWxG 0.11 · xT 0.28
    • Karl BohmFxG 0.24 · xT 0.25
    OddevoldOddevold
    Form WDWLW
    League ranking xG #6xGA #2xT #5xP/match #2Points #8
    Key players
    • Gustav ForssellFxG 0.22 · xT 0.07
    • Vincent SundbergRWxG 0.31 · xT 0.16
    • Leonardo Farah ShahinFxG 0.48 · xT 0.03
    Final score
    01
    The model missed the outcome
    Predicted probabilities: Sandviken 39% · Draw 25% · Oddevold 36%

    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 - IK OddevoldBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,97fair 9,47+5 %
    Miss
    Matchresultat - Sandvikens IFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,00fair 6,93-28 %
    Miss

    Match prediction: SandvikenOddevold

    Predicted score matrix

    Oddevold
    Sandviken
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–16.3%
    0–24.7%
    0–32.2%
    0–4+1.1%
    1
    1–07.4%
    1–111.2%
    1–27.7%
    1–33.6%
    1–4+1.7%
    2
    2–06.4%
    2–19.0%
    2–26.3%
    2–33.0%
    2–4+1.4%
    3
    3–03.5%
    3–14.9%
    3–23.5%
    3–31.6%
    3–4+0.8%
    4+
    4+–02.1%
    4+–12.9%
    4+–22.1%
    4+–31.0%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.2-06%
    Expected goals
    1,651,41
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.25
    Over 2,559%
    @1.60

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Sandviken or draw (1X)68%
    • Over 1.5 goals81%

    Combined probability

    55%

    Fair odds

    1.82

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

    02 · 3 legs

    Balanced

    • Double chance Sandviken or draw (1X)68%
    • Over 2.5 goals59%
    • Johan Arvidsson to score26%

    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 score61%
    • Over 2.5 goals59%
    • Johan Arvidsson to score26%
    • Daniel Bergman to be booked21%

    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+).

    • 2 · Oddevold36% probability@3.82BetsafeEV+37%reference odds
    • 2 · Oddevold36% probability@3.82BetssonEV+37%reference odds
    • 2 · Oddevold36% probability@3.82NordicbetEV+37%reference odds
    Bookmaker1 · SandvikenX2 · Oddevold
    Betsafe1.883.70
    EV+ 37%
    3.82
    Betsson1.883.70
    EV+ 37%
    3.82
    Nordicbet1.883.70
    EV+ 37%
    3.82
    Paddy Power2.503.602.40
    Pinnacle1.86
    EV+ 0%
    4.00
    EV+ 36%
    3.79

    Odds updated 9 Sept, 18:31

    Odds movement

    Market signal

    The market has moved clearly towards a Sandviken win since 6 September — the odds have shortened from 2.35 to 1.86 (−21%).

    1-21 %
    56 %36 %

    2.351.86

    X+11 %
    36 %16 %

    3.604.00

    2+37 %
    39 %19 %

    2.773.79

    Pinnacle · 16 recorded price levels · 06/09/2026 → 09/09/2026 · fixed scale 20 percentage points

    Statistics

    Head-to-head

    5 matches
    Sandviken 1Draw 3Oddevold 1
    Goals: 77 (⌀ 2,8)

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

    xG & xGA per match — 3-game rolling average

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

    Sandviken
    Oddevold
    When goals are scored and conceded 2026
    Sandviken (3631)
    Oddevold (3632)
    Pass networks

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

    Sandviken
    Gustav Thörn: 387 passningar, xT 0.27ThörnKasper Harletun: 336 passningar, xT 0.48HarletunFabian Andersson: 281 passningar, xT 0.47AnderssonMohammed Abubakari: 231 passningar, xT 0.23AbubakariLinus Tagesson: 186 passningar, xT 1TagessonMohammed Mahammed: 165 passningar, xT 0.09MahammedKarl Bohm: 142 passningar, xT 1.17BohmHannes Sveijer: 133 passningar, xT 0.13SveijerJohan Arvidsson: 129 passningar, xT 0.91ArvidssonAlan Carleton: 124 passningar, xT 0CarletonValassina Solo Diomande: 121 passningar, xT 0.19Diomande
    Oddevold
    Jesper Merbom Adolfsson: 200 passningar, xT 2.99AdolfssonGabriel Sandberg: 145 passningar, xT 0.23SandbergJohan Albin: 124 passningar, xT 0.08AlbinElias Forsberg: 118 passningar, xT 0.22ForsbergErik Hedenquist: 84 passningar, xT 0.12HedenquistOscar Iglicar Berntsson: 80 passningar, xT 0.62BerntssonMattias Bahno: 72 passningar, xT -0.06BahnoHugo Engström: 67 passningar, xT 0.55EngströmLeonardo Farah Shahin: 59 passningar, xT -0.11ShahinMorten Sætra: 56 passningar, xT 0.45SætraAwaka Franck Aurelien Djoro: 52 passningar, xT 0.22Djoro
    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.

    Sandviken
    Gustav Thörn: 387 passningar, xT 0.27ThörnKasper Harletun: 336 passningar, xT 0.48HarletunFabian Andersson: 281 passningar, xT 0.47AnderssonMohammed Abubakari: 231 passningar, xT 0.23AbubakariLinus Tagesson: 186 passningar, xT 1TagessonMohammed Mahammed: 165 passningar, xT 0.09MahammedKarl Bohm: 142 passningar, xT 1.17BohmHannes Sveijer: 133 passningar, xT 0.13SveijerJohan Arvidsson: 129 passningar, xT 0.91ArvidssonAlan Carleton: 124 passningar, xT 0CarletonValassina Solo Diomande: 121 passningar, xT 0.19Diomande
    Oddevold
    Jesper Merbom Adolfsson: 200 passningar, xT 2.99AdolfssonGabriel Sandberg: 145 passningar, xT 0.23SandbergJohan Albin: 124 passningar, xT 0.08AlbinElias Forsberg: 118 passningar, xT 0.22ForsbergErik Hedenquist: 84 passningar, xT 0.12HedenquistOscar Iglicar Berntsson: 80 passningar, xT 0.62BerntssonMattias Bahno: 72 passningar, xT -0.06BahnoHugo Engström: 67 passningar, xT 0.55EngströmLeonardo Farah Shahin: 59 passningar, xT -0.11ShahinMorten Sætra: 56 passningar, xT 0.45SætraAwaka Franck Aurelien Djoro: 52 passningar, xT 0.22Djoro

    The teams in numbers

    PerformanceSandvikenOddevold
    Points3032
    xPoints32.336.6
    xG per match1.51.4
    xGA per match1.31.1
    xG within 8s of winning the ball0.260.28
    xGA within 8s of losing the ball0.30.22
    Playing styleSandvikenOddevold
    Build-up efficiency0.350.37
    Field tilt0.580.46
    xT per match1.51.6
    xTA per match1.41.3
    Won balls, offensive half2840
    Pressing intensity0.550.55
    Pressing efficiency0.260.27
    Pressing efficiency, offensive half0.270.28
    Entries into the box per match1514
    Entries into the box against1514
    Pass completion %0.830.74
    Pass completion % under pressure0.780.7
    Passes per match492326
    Passes against per match344436
    Switches of play per match14.416.6
    Long balls per match2929
    Set piecesSandvikenOddevold
    xG from free kicks0.090.13
    Corners per match4.55.4
    Corners against per match5.94.2
    xG per corner0.030.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.480.31
    First touch, defensive corners %0.650.56
    OtherSandvikenOddevold
    Throw-in control0.630.42
    The goalkeepersOtto Lindell (Sandviken)Morten Sætra (Oddevold)
    Saves5759
    Save %70%68%
    xG prevented48%48%
    Claims103 (97%)135 (93%)

    Frequently asked questions

    Who wins Sandviken vs Oddevold according to our model?

    The model gives Sandviken a 39% win probability. Full 1X2 picture: Sandviken 39%, draw 25%, Oddevold 36%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.