Swedish SuperettanDomnarvsvallen, Borlänge12°2,7 mm16 km/h

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    BrageBragePossession control
    vs
    SandvikenSandvikenPossession control
    The model's lean: 2 · Sandviken (45%)

    BrageSandviken · Swedish Superettan

    1 · Brage 31%X 24%45% Sandviken · 2

    Analysis: BrageSandviken

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

    The five-match head-to-head record between Brage and Sandviken leans slightly towards the visitors, who have claimed victory in three out of these encounters. Although the sample size is relatively small, it hints at a pattern that could extend into the upcoming match. Sandviken's recent form and attacking metrics suggest they have the upper hand, despite the hosts' historical familiarity at home.

    Brage's current form is concerning, with three consecutive losses casting a shadow over their campaign. Contrast that with Sandviken, whose points tally of 30 surpasses Brage's 21, and the visitors seem better poised to capitalize. The expected goals data further supports this narrative: Sandviken's xG of 1.72 outstrips Brage's 1.45, indicating a likely edge in offensive output. Even though both teams share a similar playing style focused on possession control, Sandviken have executed it with more success this season.

    The expectation for goals is high. With a 61% probability for over 2.5 goals and a 63% chance for both teams to score, the statistics suggest a lively contest. However, the anticipated rain, measuring 2.7 mm, could dampen the attacking flow, potentially affecting scoring efficiency. Nonetheless, these conditions are already factored into the model's projections.

    For those eyeing value in the betting markets, Sandviken's win at odds 2.61 with Betsafe, Betsson, and Nordicbet presents a clear opportunity. Rated at a 45% probability by the model, this carries a substantial 17% value edge. Sandviken's recent form, coupled with Brage's struggles, makes the visitors a compelling play in this matchup.

    BrageBrage
    Form LDLLL
    League ranking xG #9xGA #13xT #6xP/match #10Points #14
    Key players
    • Alex MortensenFxG 0.31 · xT 0.14
    • Filip TrpcevskiFxG 0.29 · xT 0.07
    • Gustav NordhLWxG 0.28 · xT 0.65
    SandvikenSandviken
    Form LDDWL
    League ranking xG #2xGA #4xT #8xP/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

    Match prediction: BrageSandviken

    Predicted score matrix

    Sandviken
    Brage
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–16.9%
    0–26.2%
    0–33.6%
    0–4+2.3%
    1
    1–05.8%
    1–110.8%
    1–29.0%
    1–35.2%
    1–4+3.3%
    2
    2–04.4%
    2–17.6%
    2–26.5%
    2–33.7%
    2–4+2.4%
    3
    3–02.1%
    3–13.7%
    3–23.1%
    3–31.8%
    3–4+1.1%
    4+
    4+–01.1%
    4+–11.8%
    4+–21.6%
    4+–30.9%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.2-27%
    Expected goals
    1,451,72
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @2.28
    Over 2,561%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Sandviken or draw (X2)68%
    • Over 1.5 goals83%

    Combined probability

    56%

    Fair odds

    1.77

    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 (X2)68%
    • Over 2.5 goals61%
    • 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 score63%
    • Over 2.5 goals61%
    • Lasse Bruun Madsen to score27%
    • Ozor Victor Okeke to be booked22%

    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 · Sandviken45% probability@2.55BetsafeEV+14%reference odds
    • 2 · Sandviken45% probability@2.55BetssonEV+14%reference odds
    • 2 · Sandviken45% probability@2.55NordicbetEV+14%reference odds
    Bookmaker1 · BrageX2 · Sandviken
    Betsafe2.553.59
    EV+ 14%
    2.55
    Betsson2.553.59
    EV+ 14%
    2.55
    Nordicbet2.553.59
    EV+ 14%
    2.55
    Pinnacle2.603.63
    EV+ 10%
    2.47

    Odds updated 11 Sept, 16:16

    Odds movement

    1+6 %
    40 %35 %

    2.462.60

    X0 %
    28 %23 %

    3.633.63

    2-5 %
    39 %34 %

    2.612.47

    Pinnacle · 2 recorded price levels · 11/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Brage 2Draw 0Sandviken 3
    Goals: 109 (⌀ 3,8)

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

    Key facts

    • A high-scoring fixture: 3.8 goals per meeting on average.
    • IK Brage have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Brage
    Sandviken
    When goals are scored and conceded 2026
    Brage (3543)
    Sandviken (3632)
    Pass networks

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

    Brage
    Tobias Stagaard: 278 passningar, xT 0.8StagaardAlexander Zetterström: 261 passningar, xT 0.29ZetterströmLasse Bruun Madsen: 179 passningar, xT 0.05MadsenAlbin Sporrong: 149 passningar, xT 0.79SporrongAnders Hellblom: 118 passningar, xT 0.8HellblomOzor Victor Okeke: 118 passningar, xT 0.22OkekeMalte Persson: 93 passningar, xT 0.61PerssonAlex Mortensen: 89 passningar, xT 0.52MortensenNoah Östberg: 89 passningar, xT 0.62ÖstbergGideon Granström: 82 passningar, xT 0.09GranströmViktor Frodig: 75 passningar, xT 0.27Frodig
    Sandviken
    Gustav Thörn: 447 passningar, xT 0.47ThörnKasper Harletun: 407 passningar, xT 0.71HarletunFabian Andersson: 342 passningar, xT 0.4AnderssonMohammed Abubakari: 256 passningar, xT 0.4AbubakariLinus Tagesson: 216 passningar, xT 1.16TagessonMohammed Mahammed: 195 passningar, xT 0.05MahammedAlan Carleton: 163 passningar, xT 0.25CarletonHannes Sveijer: 155 passningar, xT 0.16SveijerJohan Arvidsson: 155 passningar, xT 0.84ArvidssonKarl Bohm: 150 passningar, xT 1.29BohmWilhelm Nilsson: 116 passningar, xT 0.21Nilsson
    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.

    Brage
    Tobias Stagaard: 278 passningar, xT 0.8StagaardAlexander Zetterström: 261 passningar, xT 0.29ZetterströmLasse Bruun Madsen: 179 passningar, xT 0.05MadsenAlbin Sporrong: 149 passningar, xT 0.79SporrongAnders Hellblom: 118 passningar, xT 0.8HellblomOzor Victor Okeke: 118 passningar, xT 0.22OkekeMalte Persson: 93 passningar, xT 0.61PerssonAlex Mortensen: 89 passningar, xT 0.52MortensenNoah Östberg: 89 passningar, xT 0.62ÖstbergGideon Granström: 82 passningar, xT 0.09GranströmViktor Frodig: 75 passningar, xT 0.27Frodig
    Sandviken
    Gustav Thörn: 447 passningar, xT 0.47ThörnKasper Harletun: 407 passningar, xT 0.71HarletunFabian Andersson: 342 passningar, xT 0.4AnderssonMohammed Abubakari: 256 passningar, xT 0.4AbubakariLinus Tagesson: 216 passningar, xT 1.16TagessonMohammed Mahammed: 195 passningar, xT 0.05MahammedAlan Carleton: 163 passningar, xT 0.25CarletonHannes Sveijer: 155 passningar, xT 0.16SveijerJohan Arvidsson: 155 passningar, xT 0.84ArvidssonKarl Bohm: 150 passningar, xT 1.29BohmWilhelm Nilsson: 116 passningar, xT 0.21Nilsson

    The teams in numbers

    PerformanceBrageSandviken
    Points2130
    xPoints29.433.6
    xG per match1.31.5
    xGA per match1.41.2
    xG within 8s of winning the ball0.360.25
    xGA within 8s of losing the ball0.30.3
    Playing styleBrageSandviken
    Build-up efficiency0.350.36
    Field tilt0.480.6
    xT per match1.61.5
    xTA per match1.51.4
    Won balls, offensive half3229
    Pressing intensity0.540.56
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.280.27
    Entries into the box per match1416
    Entries into the box against1715
    Pass completion %0.770.83
    Pass completion % under pressure0.710.78
    Passes per match343504
    Passes against per match361339
    Switches of play per match18.714.3
    Long balls per match3430
    Set piecesBrageSandviken
    xG from free kicks0.120.08
    Corners per match5.14.7
    Corners against per match5.45.8
    xG per corner0.040.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.510.5
    First touch, defensive corners %0.570.65
    OtherBrageSandviken
    Throw-in control0.550.62
    The goalkeepersViktor Frodig (Brage)Otto Lindell (Sandviken)
    Saves6657
    Save %64%70%
    xG prevented45%48%
    Claims136 (97%)103 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Brage vs Sandviken according to our model?

    The model gives Sandviken a 45% win probability. Full 1X2 picture: Brage 31%, draw 24%, Sandviken 45%.

    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 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.