Swedish Ettan11°7,2 mm15 km/h

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    SollentunaSollentunaPossession control
    vs
    IFK StocksundIFK StocksundPossession control
    The model's lean: 1 · Sollentuna (52%)

    Sollentuna vs IFK Stocksund · Swedish Ettan

    1 · Sollentuna 52%X 22%27% IFK Stocksund · 2

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    Analysis: Sollentuna – IFK Stocksund

    Anna Karlsson · · A data-driven preview · How the predictions work

    The text contains a factual error: the "1.90 odds" cited for Bet365 is not supported by the facts. The 1.90 figure in the data refers to Sollentuna's expected goals (xG), not betting odds. This appears to be a fabricated/conflated statistic.

    Corrected text:

    The key question in Sollentuna's clash with IFK Stocksund is whether the visitors can break free from their current losing streak. Stocksund have dropped their last three matches, a run that casts a shadow over their trip to face a Sollentuna side that not only holds a points advantage but also a psychological edge. Sollentuna's 24 points versus Stocksund's 14 underline the hosts' stronger position this season, yet the visitors' capacity to create chances, reflected in their higher xG per match, suggests they could still pose a threat.

    While both teams enjoy controlling possession, Sollentuna's ability to convert this into fewer goals against them might be the critical differentiator. Their xGA of 1.2 per match is significantly better than Stocksund's 1.9, highlighting a more reliable defense. This defensive stability will be vital, especially given the forecast for rain, which often dampens goal-scoring opportunities despite the model's high expectations for goals.

    Historically, the head-to-head record is split evenly with three wins each, but a single draw. With only seven encounters on record, this small sample size shouldn't overshadow current form and expected goals. The model favors Sollentuna with a 52% chance of victory, and they appear poised to capitalize on their superior defensive metrics.

    The most probable outcomes—1-1 at 10% and 2-1 at 9%—reflect a likely tight game, yet lean towards Sollentuna given their current form. The match is expected to surpass 2.5 goals, with a 64% probability, indicative of both sides' aggressive styles and historical fixture averages.

    For bettors, Sollentuna's expected goals figure of 1.90 presents a stronger attacking outlook compared to Stocksund, particularly considering Stocksund's recent form slump. It's a gamble on the hosts to affirm their home advantage and maintain their upper hand in the standings.

    SollentunaSollentuna
    Form WLLDL
    League ranking xG #29xGA #11xT #25xP/match #27Points #26
    Key players
    • Johannes DanhoLWxG 0.02 · xT 0.29
    • Dida RashidiFxG 0.20 · xT 0.13
    • Salim NkubiriLWxG 0.04 · xT 0.08
    IFK StocksundIFK Stocksund
    Form LWLLL
    League ranking xG #11xGA #31xT #8xP/match #30Points #31
    Key players
    • Dary Izia BotoLWxG 0.18 · xT 0.07
    • Alexander JohanssonCMxG 0.15 · xT 0.57
    • Yosef RaufFxG 0.40 · xT 0.05

    Match prediction: Sollentuna – IFK Stocksund

    Predicted score matrix

    IFK Stocksund →
    Sollentuna →
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–14.8%
    0–23.6%
    0–31.7%
    0–4+0.8%
    1
    1–06.6%
    1–110.0%
    1–26.9%
    1–33.3%
    1–4+1.6%
    2
    2–06.6%
    2–19.3%
    2–26.6%
    2–33.1%
    2–4+1.5%
    3
    3–04.2%
    3–15.9%
    3–24.2%
    3–32.0%
    3–4+1.0%
    4+
    4+–03.1%
    4+–14.3%
    4+–23.1%
    4+–31.4%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-27%
    4. 4.1-07%
    5. 5.2-27%
    Expected goals
    1,90–1,42
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    –
    Over 2,564%
    –

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Sollentuna to win52%
    • Over 1.5 goals85%

    Combined probability

    42%

    Fair odds

    2.38

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

    02 · 3 legs

    Balanced

    • Sollentuna to win52%
    • Over 2.5 goals64%
    • Filip Rosenquist to score25%

    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 score65%
    • Over 2.5 goals64%
    • Yosef Rauf to score33%
    • Dary Izia Boto 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

    No odds available yet.

    Statistics

    Head-to-head

    7 matches
    Sollentuna 3Draw 1IFK Stocksund 3
    Goals: 16–15 (⌀ 4,4)

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

    Key facts

    • A high-scoring fixture: 4.4 goals per meeting on average.
    • IFK Stocksund have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Sollentuna
    IFK Stocksund
    When goals are scored and conceded — 2026
    Sollentuna (22–33)
    IFK Stocksund (44–60)
    Pass networks

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

    Sollentuna
    Umit Aras: 304 passningar, xT 0.19ArasCharlie Axelsson: 269 passningar, xT 0.21AxelssonLudvig Ennart: 249 passningar, xT 0.46EnnartJohannes Danho: 172 passningar, xT 0.29DanhoJonathan Zeberga: 152 passningar, xT 0.29ZebergaOskar Käck: 143 passningar, xT 0.23KäckSalim Nkubiri: 133 passningar, xT 0.02NkubiriLukas Johansson: 131 passningar, xT 0.45JohanssonJakob Bäckström: 110 passningar, xT 0BäckströmErik Lundell: 89 passningar, xT -0.08LundellViktor Blumenthal: 81 passningar, xT 0.11Blumenthal
    IFK Stocksund
    Enzo Stone Gibson Mougnol: 223 passningar, xT 0.18MougnolAxel Floric: 192 passningar, xT 0.44FloricSebastian Lager: 171 passningar, xT 0.06LagerDary Izia Boto: 168 passningar, xT 0.07BotoClaus Emilio Royo: 162 passningar, xT 0.1RoyoLangston Jasper Wennerlind: 147 passningar, xT 1.88WennerlindBen Magnusson: 116 passningar, xT -0.05MagnussonJames Nene Sibeene: 102 passningar, xT -0.02SibeeneKasper Engström: 88 passningar, xT 0.18EngströmLuka Daniel Mihajlovic: 72 passningar, xT 0.11MihajlovicEskil Bodvik: 72 passningar, xT 0.1Bodvik
    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.

    Sollentuna
    Umit Aras: 304 passningar, xT 0.19ArasCharlie Axelsson: 269 passningar, xT 0.21AxelssonLudvig Ennart: 249 passningar, xT 0.46EnnartJohannes Danho: 172 passningar, xT 0.29DanhoJonathan Zeberga: 152 passningar, xT 0.29ZebergaOskar Käck: 143 passningar, xT 0.23KäckSalim Nkubiri: 133 passningar, xT 0.02NkubiriLukas Johansson: 131 passningar, xT 0.45JohanssonJakob Bäckström: 110 passningar, xT 0BäckströmErik Lundell: 89 passningar, xT -0.08LundellViktor Blumenthal: 81 passningar, xT 0.11Blumenthal
    IFK Stocksund
    Enzo Stone Gibson Mougnol: 223 passningar, xT 0.18MougnolAxel Floric: 192 passningar, xT 0.44FloricSebastian Lager: 171 passningar, xT 0.06LagerDary Izia Boto: 168 passningar, xT 0.07BotoClaus Emilio Royo: 162 passningar, xT 0.1RoyoLangston Jasper Wennerlind: 147 passningar, xT 1.88WennerlindBen Magnusson: 116 passningar, xT -0.05MagnussonJames Nene Sibeene: 102 passningar, xT -0.02SibeeneKasper Engström: 88 passningar, xT 0.18EngströmLuka Daniel Mihajlovic: 72 passningar, xT 0.11MihajlovicEskil Bodvik: 72 passningar, xT 0.1Bodvik

    The teams in numbers

    PerformanceSollentunaIFK Stocksund
    Points2414
    xPoints29.225.7
    xG per match1.11.4
    xGA per match1.21.9
    xG within 8s of winning the ball0.220.29
    xGA within 8s of losing the ball0.20.31
    Playing styleSollentunaIFK Stocksund
    Build-up efficiency0.320.34
    Field tilt0.480.49
    xT per match1.31.5
    xTA per match1.31.4
    Won balls, offensive half2725
    Pressing intensity0.460.53
    Pressing efficiency0.220.25
    Pressing efficiency, offensive half0.230.26
    Entries into the box per match1113
    Entries into the box against1215
    Pass completion %0.830.81
    Pass completion % under pressure0.770.77
    Passes per match391376
    Passes against per match401349
    Switches of play per match12.912.9
    Long balls per match3328
    Set piecesSollentunaIFK Stocksund
    xG from free kicks0.110.22
    Corners per match44.1
    Corners against per match4.94.8
    xG per corner0.040.02
    xGA per corner against0.020.04
    First touch, offensive corners %0.470.51
    First touch, defensive corners %0.620.51
    OtherSollentunaIFK Stocksund
    Throw-in control0.590.57
    The goalkeepersOscar Franck (Sollentuna)Jakob Rhawi (IFK Stocksund)
    Saves4272
    Save %70%61%
    xG prevented40%37%
    Claims76 (93%)101 (86%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sollentuna vs IFK Stocksund according to our model?

    The model gives Sollentuna a 52% win probability. Full 1X2 picture: Sollentuna 52%, draw 22%, IFK Stocksund 27%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 65% 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.