Swedish Ettan14°2,4 mm13 km/h

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    SollentunaSollentunaPossession & high press
    10
    GefleGefleCounter-attacks & crosses
    The model's lean: 1 · Sollentuna (41%)

    SollentunaGefle · Swedish Ettan

    1 · Sollentuna 41%X 25%34% Gefle · 2

    Analysis: SollentunaGefle

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

    TEXT: The brief head-to-head history between Sollentuna and Gefle, consisting of only three matches, shows a slight edge for the visitors, with two wins to Sollentuna's one. However, this small sample size holds less weight against the current form and statistical expectations for the upcoming clash. The model's numbers suggest a tighter contest, with Sollentuna slightly favored to win. This is a game where the hosts' possession-based approach will meet the visitors’ counter-attacking style, making strategic execution pivotal.

    The slight statistical edge in points and xPoints leans towards Gefle, yet the expected goals and model lean suggest a narrow preference for Sollentuna. Gefle's ability to capitalize on counter-attacks could pose a threat, especially against Sollentuna's high press, which might leave spaces open. Despite the visitors' superior historical record, the underlying data paints a picture of balance, with both teams expected to score approximately 1.2 goals per match.

    In terms of scoring potential, the expected goals (xG) figures hint at a closely contested match. Both sides average 1.2 xG per match, indicating similar offensive capabilities. However, Sollentuna boasts a better defensive metric with a lower expected goals against (xGA) of 1.2 compared to Gefle's 1.5. This defensive solidity could be crucial in a match where fine margins are likely to decide the outcome.

    With both teams expected to find the net, the probability of over 2.5 goals stands at 52%, suggesting a slight lean towards a high-scoring game. The model's top predicted scoreline is a 1-1 draw. In a game with balanced expectations, focusing on defensive discipline might be the key to unlocking value.

    SollentunaSollentuna
    Form DLWWL
    League ranking xG #26xGA #9xT #16xP/match #25Points #26
    Key players
    • Dida RashidiFxG 0.20 · xT 0.13
    • Johannes DanhoLWxG 0.02 · xT 0.34
    • Emil StenstrandCDMxG 0.03 · xT 0.48
    GefleGefle
    Form WLWWD
    League ranking xG #23xGA #20xT #23xP/match #18Points #19
    Key players
    • Måns BerggrenFxG 0.16 · xT 0.03
    • Lukas VikgrenLWxG 0.21 · xT 0.32
    • Mirza HasanbegovicFxG 0.30 · xT -0.02
    Final score
    10
    The model called the outcome
    Predicted probabilities: Sollentuna 41% · Draw 25% · Gefle 34%

    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 - Sollentuna FFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,13fair 8,65-18 %
    Miss
    Matchresultat - Gefle IFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,80fair 11,90-34 %
    Miss

    Match prediction: SollentunaGefle

    Predicted score matrix

    Gefle
    Sollentuna
    0
    1
    2
    3
    4+
    0
    0–06.7%
    0–17.7%
    0–25.1%
    0–32.2%
    0–4+0.9%
    1
    1–09.1%
    1–112.4%
    1–27.6%
    1–33.2%
    1–4+1.3%
    2
    2–07.0%
    2–18.9%
    2–25.6%
    2–32.4%
    2–4+1.0%
    3
    3–03.5%
    3–14.4%
    3–22.8%
    3–31.2%
    3–4+0.5%
    4+
    4+–01.8%
    4+–12.3%
    4+–21.4%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,491,27
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,548%
    @1.98
    Over 2,552%
    @1.72

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Sollentuna or draw (1X)68%
    • Over 1.5 goals76%

    Combined probability

    52%

    Fair odds

    1.91

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

    02 · 3 legs

    Balanced

    • Double chance Sollentuna or draw (1X)68%
    • Over 2.5 goals52%
    • Jonathan Zeberga to score35%

    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 score56%
    • Over 2.5 goals52%
    • Jonathan Zeberga to score35%
    • Mamadou Kouyate to be booked19%

    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

    Bookmaker1 · SollentunaX2 · Gefle
    Betsafe2.423.302.62
    Betsson2.423.302.62
    Nordicbet2.423.302.62

    Odds updated 4 Sept, 14:38

    Odds movement

    10 %
    40 %35 %

    2.422.42

    X0 %
    30 %25 %

    3.303.30

    20 %
    37 %32 %

    2.622.62

    Betsson · 3 recorded price levels · 31/08/2026 → 04/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Sollentuna 1Draw 0Gefle 2
    Goals: 37 (⌀ 3,3)

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

    xG & xGA per match — 3-game rolling average

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

    Sollentuna
    Gefle
    When goals are scored and conceded 2026
    Sollentuna (1827)
    Gefle (2537)
    Pass networks

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

    Sollentuna
    Umit Aras: 217 passningar, xT 0.16ArasDavid Bengtsson: 189 passningar, xT 0.12BengtssonOskar Käck: 138 passningar, xT 0.45KäckErik Lundell: 120 passningar, xT -0.04LundellKalle Selin Stregart: 116 passningar, xT 0.1StregartEmil Stenstrand: 115 passningar, xT 1.11StenstrandJohannes Danho: 112 passningar, xT 1.16DanhoSalim Nkubiri: 86 passningar, xT 0.7NkubiriLukas Johansson: 72 passningar, xT 0.3JohanssonJonathan Zeberga: 62 passningar, xT 0.07ZebergaLudvig Ennart: 60 passningar, xT 0.41Ennart
    Gefle
    Eric Larsson: 265 passningar, xT 1.33LarssonDillan Ismail: 226 passningar, xT 0.12IsmailMamadou Kouyate: 203 passningar, xT -0.04KouyateDeniz Yaldir: 188 passningar, xT 0.51YaldirTheodor Hansemon: 160 passningar, xT 0.08HansemonMax Croon: 104 passningar, xT 0.41CroonRasmus Nehrman: 99 passningar, xT 0.15NehrmanSemin Zulum: 94 passningar, xT 0.15ZulumLukas Vikgren: 76 passningar, xT 0.44VikgrenMelker Spångberg: 69 passningar, xT 0.29SpångbergKevin Persson: 63 passningar, xT 0.3Persson
    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: 217 passningar, xT 0.16ArasDavid Bengtsson: 189 passningar, xT 0.12BengtssonOskar Käck: 138 passningar, xT 0.45KäckErik Lundell: 120 passningar, xT -0.04LundellKalle Selin Stregart: 116 passningar, xT 0.1StregartEmil Stenstrand: 115 passningar, xT 1.11StenstrandJohannes Danho: 112 passningar, xT 1.16DanhoSalim Nkubiri: 86 passningar, xT 0.7NkubiriLukas Johansson: 72 passningar, xT 0.3JohanssonJonathan Zeberga: 62 passningar, xT 0.07ZebergaLudvig Ennart: 60 passningar, xT 0.41Ennart
    Gefle
    Eric Larsson: 265 passningar, xT 1.33LarssonDillan Ismail: 226 passningar, xT 0.12IsmailMamadou Kouyate: 203 passningar, xT -0.04KouyateDeniz Yaldir: 188 passningar, xT 0.51YaldirTheodor Hansemon: 160 passningar, xT 0.08HansemonMax Croon: 104 passningar, xT 0.41CroonRasmus Nehrman: 99 passningar, xT 0.15NehrmanSemin Zulum: 94 passningar, xT 0.15ZulumLukas Vikgren: 76 passningar, xT 0.44VikgrenMelker Spångberg: 69 passningar, xT 0.29SpångbergKevin Persson: 63 passningar, xT 0.3Persson

    The teams in numbers

    PerformanceSollentunaGefle
    Points2024
    xPoints23.325.6
    xG per match1.21.2
    xGA per match1.21.5
    xG within 8s of winning the ball0.190.21
    xGA within 8s of losing the ball0.220.26
    Playing styleSollentunaGefle
    Build-up efficiency0.320.35
    Field tilt0.540.42
    xT per match1.41.3
    xTA per match1.31.4
    Won balls, offensive half2830
    Pressing intensity0.440.48
    Pressing efficiency0.240.23
    Pressing efficiency, offensive half0.240.24
    Entries into the box per match1210
    Entries into the box against1214
    Pass completion %0.820.79
    Pass completion % under pressure0.760.75
    Passes per match385335
    Passes against per match386437
    Switches of play per match13.416.4
    Long balls per match3428
    Set piecesSollentunaGefle
    xG from free kicks0.120.15
    Corners per match4.33.9
    Corners against per match55.2
    xG per corner0.050.04
    xGA per corner against0.030.04
    First touch, offensive corners %0.450.47
    First touch, defensive corners %0.640.6
    OtherSollentunaGefle
    Throw-in control0.570.58
    The goalkeepersOscar Franck (Sollentuna)Max Croon (Gefle)
    Saves3360
    Save %67%62%
    xG prevented37%38%
    Claims68 (93%)75 (96%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Sollentuna vs Gefle according to our model?

    The model gives Sollentuna a 41% win probability. Full 1X2 picture: Sollentuna 41%, draw 25%, Gefle 34%.

    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 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.