Swedish Ettan17°15,6 mm26 km/h

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    IFK StocksundIFK StocksundBalanced & physical
    23
    ArlandaArlandaCounter-attacks & crosses
    The model's lean: 1 · IFK Stocksund (40%)Best value by the model: Under 2,5 @ 3.35 (+31 %)

    IFK StocksundArlanda · Swedish Ettan

    1 · IFK Stocksund 40%X 21%40% Arlanda · 2

    Analysis: IFK StocksundArlanda

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

    FC Arlanda holds a 2-1 advantage in a small sample of three head-to-head encounters with IFK Stocksund, a record that may suggest a slight psychological edge. However, these matches are just a fraction of the broader context. The visitors have a substantial 33-point tally this season, significantly outpacing Stocksund's 11 points. Yet, the expected points paint a slightly less bleak picture for the hosts, suggesting they have underperformed relative to their potential.

    The most telling numbers come from expected goals, where Stocksund edges Arlanda with 1.6 xG per match against Arlanda's 1.4. This suggests the hosts create more quality chances, even if their points haul doesn’t reflect it. Defensively, though, Stocksund struggles, conceding 2.0 xGA per match compared to Arlanda's 1.3, indicating vulnerability at the back. The model gives both sides a 40% chance to win, with a slight lean towards Stocksund, highlighting how evenly matched they are despite the table disparity.

    Given the expected goals and playing styles, a match with over 2.5 goals and both teams finding the net looks likely. Stocksund's physicality might challenge Arlanda's counter-attacking strategy, especially on a rainy evening where the slippery conditions could lead to errors. The most probable scoreline according to the model is 1-1, but a 2-1 win for Stocksund is also on the cards, adding intrigue to the contest.

    The standout angle here is the value on a home win. With Betsafe, Betsson, and Nordicbet offering odds of 3.0 on Stocksund, the model identifies a 19% edge. For those trusting the numbers over the table standing, backing Stocksund might just be the shrewd move.

    IFK StocksundIFK Stocksund
    Form LLWLL
    League ranking xG #7xGA #31xT #2xP/match #30Points #31
    Key players
    • Yosef RaufFxG 0.43 · xT 0.08
    • Alexander JohanssonCMxG 0.16 · xT 0.57
    • Langston Jasper WennerlindLWxG 0.33 · xT 0.36
    ArlandaArlanda
    Form WLDLW
    League ranking xG #17xGA #15xT #18xP/match #13Points #7
    Key players
    • Mario ButrosCAMxG 0.14 · xT 0.29
    • Anton CharbachiLWxG 0.47 · xT 0.16
    • Samuel Dawid RydzFxG 0.28 · xT 0.06
    Final score
    23
    The model missed the outcome
    Predicted probabilities: IFK Stocksund 40% · Draw 21% · Arlanda 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 - IFK StocksundBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,08fair 6,32-20 %
    Miss
    Matchresultat - FC ArlandaBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,84fair 9,35-59 %
    Hit

    Match prediction: IFK StocksundArlanda

    Predicted score matrix

    Arlanda
    IFK Stocksund
    0
    1
    2
    3
    4+
    0
    0–04.6%
    0–15.8%
    0–24.3%
    0–32.1%
    0–4+1.0%
    1
    1–07.1%
    1–110.8%
    1–27.5%
    1–33.5%
    1–4+1.7%
    2
    2–06.4%
    2–19.1%
    2–26.5%
    2–33.1%
    2–4+1.5%
    3
    3–03.7%
    3–15.2%
    3–23.7%
    3–31.8%
    3–4+0.9%
    4+
    4+–02.4%
    4+–13.3%
    4+–22.4%
    4+–31.1%
    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. 3.1-27%
    4. 4.1-07%
    5. 5.2-26%
    Expected goals
    1,731,42
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    @3.35EV+31%
    Over 2,561%
    @1.28

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance IFK Stocksund or draw (1X)69%
    • Over 1.5 goals83%

    Combined probability

    57%

    Fair odds

    1.75

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

    02 · 3 legs

    Balanced

    • Double chance IFK Stocksund or draw (1X)69%
    • Over 2.5 goals61%
    • Yosef Rauf to score40%

    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%
    • Yosef Rauf to score40%
    • Dary Izia Boto to be booked18%

    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 2.539% probability@3.35BetsafeEV+31%reference odds
    • Under 2.539% probability@3.35BetssonEV+31%reference odds
    • Under 2.539% probability@3.35NordicbetEV+31%reference odds
    Bookmaker1 · IFK StocksundX2 · Arlanda
    Betsafe
    EV+ 9%
    2.75
    3.852.05
    Betsson
    EV+ 9%
    2.75
    3.852.05
    Nordicbet
    EV+ 9%
    2.75
    3.852.05

    Odds updated 29 Aug, 13:36

    Odds movement

    1+1 %
    37 %27 %

    2.722.75

    X+4 %
    29 %19 %

    3.703.85

    2-5 %
    49 %39 %

    2.152.05

    Betsson · 13 recorded price levels · 24/08/2026 → 29/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    3 matches
    IFK Stocksund 1Draw 0Arlanda 2
    Goals: 57 (⌀ 4)

    Head-to-head based on Ettan data since 2023.

    xG & xGA per match — 3-game rolling average

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

    IFK Stocksund
    Arlanda
    When goals are scored and conceded 2026
    IFK Stocksund (3644)
    Arlanda (3020)
    Pass networks

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

    IFK Stocksund
    Sebastian Lager: 349 passningar, xT 1.42LagerDary Izia Boto: 176 passningar, xT -0.08BotoMax Vogele: 171 passningar, xT 0.31VogeleLuka Daniel Mihajlovic: 158 passningar, xT 0.2MihajlovicBen Magnusson: 145 passningar, xT 0.19MagnussonAxel Floric: 142 passningar, xT 1.01FloricLangston Jasper Wennerlind: 106 passningar, xT 1.51WennerlindKasper Engström: 93 passningar, xT 0.36EngströmJames Nene Sibeene: 88 passningar, xT 0.15SibeeneEskil Bodvik: 80 passningar, xT 0.12BodvikJakob Rhawi: 78 passningar, xT -0.01Rhawi
    Arlanda
    Erik Johansson Olsson: 187 passningar, xT 0.23OlssonCarl Norberg: 172 passningar, xT 1.48NorbergIsac Giordano Eriksson: 136 passningar, xT 0.16ErikssonYoas Yemane: 120 passningar, xT 0.15YemaneLeonard Kleist: 118 passningar, xT 0.55KleistMark Gorgos: 105 passningar, xT 0.13GorgosAdam Smedberg Lagh: 76 passningar, xT 0.63LaghJoel Carlsson: 67 passningar, xT 0.05CarlssonIsac Antholm: 56 passningar, xT 0.11AntholmMario Butros: 54 passningar, xT 1.22ButrosLudvig Lars Johan Nyman: 53 passningar, xT -0.02Nyman
    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.

    IFK Stocksund
    Sebastian Lager: 349 passningar, xT 1.42LagerDary Izia Boto: 176 passningar, xT -0.08BotoMax Vogele: 171 passningar, xT 0.31VogeleLuka Daniel Mihajlovic: 158 passningar, xT 0.2MihajlovicBen Magnusson: 145 passningar, xT 0.19MagnussonAxel Floric: 142 passningar, xT 1.01FloricLangston Jasper Wennerlind: 106 passningar, xT 1.51WennerlindKasper Engström: 93 passningar, xT 0.36EngströmJames Nene Sibeene: 88 passningar, xT 0.15SibeeneEskil Bodvik: 80 passningar, xT 0.12BodvikJakob Rhawi: 78 passningar, xT -0.01Rhawi
    Arlanda
    Erik Johansson Olsson: 187 passningar, xT 0.23OlssonCarl Norberg: 172 passningar, xT 1.48NorbergIsac Giordano Eriksson: 136 passningar, xT 0.16ErikssonYoas Yemane: 120 passningar, xT 0.15YemaneLeonard Kleist: 118 passningar, xT 0.55KleistMark Gorgos: 105 passningar, xT 0.13GorgosAdam Smedberg Lagh: 76 passningar, xT 0.63LaghJoel Carlsson: 67 passningar, xT 0.05CarlssonIsac Antholm: 56 passningar, xT 0.11AntholmMario Butros: 54 passningar, xT 1.22ButrosLudvig Lars Johan Nyman: 53 passningar, xT -0.02Nyman

    The teams in numbers

    PerformanceIFK StocksundArlanda
    Points1133
    xPoints18.926.1
    xG per match1.61.4
    xGA per match21.3
    xG within 8s of winning the ball0.380.23
    xGA within 8s of losing the ball0.320.28
    Playing styleIFK StocksundArlanda
    Build-up efficiency0.350.35
    Field tilt0.520.4
    xT per match1.71.4
    xTA per match1.41.4
    Won balls, offensive half2534
    Pressing intensity0.520.49
    Pressing efficiency0.250.29
    Pressing efficiency, offensive half0.250.32
    Entries into the box per match1411
    Entries into the box against1514
    Pass completion %0.810.73
    Pass completion % under pressure0.770.66
    Passes per match377258
    Passes against per match340340
    Switches of play per match12.718.1
    Long balls per match2733
    Set piecesIFK StocksundArlanda
    xG from free kicks0.250.13
    Corners per match3.83.5
    Corners against per match4.24.5
    xG per corner0.010.03
    xGA per corner against0.040.03
    First touch, offensive corners %0.490.4
    First touch, defensive corners %0.490.58
    OtherIFK StocksundArlanda
    Throw-in control0.560.41
    The goalkeepersJakob Rhawi (IFK Stocksund)Adam Smedberg Lagh (Arlanda)
    Saves6558
    Save %61%75%
    xG prevented37%63%
    Claims91 (87%)87 (95%)

    Teams & more matches this round

    Frequently asked questions

    Who wins IFK Stocksund vs Arlanda according to our model?

    The model gives IFK Stocksund a 40% win probability. Full 1X2 picture: IFK Stocksund 40%, draw 21%, Arlanda 40%.

    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.