Swedish Ettan

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    KarlbergKarlbergCounter-attacks & crosses
    vs
    SollentunaSollentunaPossession control
    The model's lean: 1 · Karlberg (39%)Soft drawBest value by the model: 2 · Sollentuna @ 3.20 (+14 %)

    Karlberg vs Sollentuna · Swedish Ettan

    1 · Karlberg 39%X 25%36% Sollentuna · 2

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    Analysis: Karlberg – Sollentuna

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

    TEXT: Karlberg holds a slight edge in this matchup through expected points and goals, with a model probability of winning at 39% compared to Sollentuna's 36%. The hosts have also outperformed in xPoints, sitting at 32.9 against the visitors' 28.3. This suggests a tilt toward Karlberg, despite their modest head-to-head disadvantage.

    Sollentuna has a small historical dominance over five encounters, but this record is less significant than the current form. Karlberg's expected goals per match of 1.4 versus Sollentuna's 1.1 highlights their sharper attack. Meanwhile, the hosts' defensive vulnerabilities are marginally greater, conceding 1.3 expected goals per match to Sollentuna's 1.2. The numbers point to a balanced but slightly Karlberg-favored game.

    With a 61% probability for over 2.5 goals and both sides likely to find the net, the most likely overall scoreline is a 1-1 draw, though a 2-1 win for Karlberg is the next most probable outcome. The historical high-scoring nature of this fixture supports the over 2.5 goals lean, making it an attractive market.

    KarlbergKarlberg
    Form DLWLL
    League ranking xG #14xGA #16xT #16xP/match #15Points #22
    Key players
    • Noah Tesfai NegashLWxG 0.20 · xT 0.26
    • Adam JemalFxG 0.44 · xT 0.17
    • Hugo FernándezRWxG 0.18 · xT 0.29
    SollentunaSollentuna
    Form LWLLD
    League ranking xG #29xGA #11xT #27xP/match #24Points #25
    Key players
    • Dida RashidiFxG 0.20 · xT 0.13
    • Johannes DanhoLWxG 0.02 · xT 0.29
    • Emil StenstrandCDMxG 0.03 · xT 0.48

    Match prediction: Karlberg – Sollentuna

    Predicted score matrix

    Sollentuna →
    Karlberg →
    0
    1
    2
    3
    4+
    0
    0–04.6%
    0–15.7%
    0–24.2%
    0–32.0%
    0–4+0.9%
    1
    1–07.2%
    1–110.8%
    1–27.4%
    1–33.4%
    1–4+1.6%
    2
    2–06.5%
    2–19.2%
    2–26.4%
    2–33.0%
    2–4+1.4%
    3
    3–03.8%
    3–15.3%
    3–23.7%
    3–31.8%
    3–4+0.8%
    4+
    4+–02.5%
    4+–13.5%
    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. 5.2-07%
    Expected goals
    1,75–1,40
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    –
    Over 2,561%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Karlberg or draw (1X)69%
    • Over 1.5 goals82%

    Combined probability

    58%

    Fair odds

    1.74

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

    02 · 3 legs

    Balanced

    • Double chance Karlberg or draw (1X)69%
    • Over 2.5 goals61%
    • Mattias Mitku to score30%

    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%
    • Mattias Mitku to score30%
    • Erik Lundell 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Sollentuna36% probability@3.20BetsafeEV+14%reference odds
    • 2 · Sollentuna36% probability@3.20BetssonEV+14%reference odds
    • 2 · Sollentuna36% probability@3.20NordicbetEV+14%reference odds
    Bookmaker1 · KarlbergX2 · Sollentuna
    Betsafe1.983.50
    EV+ 14%
    3.20
    Betsson1.983.50
    EV+ 14%
    3.20
    Nordicbet1.983.50
    EV+ 14%
    3.20

    Odds updated 27 Sept, 19:35

    Statistics

    Head-to-head

    5 matches
    Karlberg 1Draw 2Sollentuna 2
    Goals: 7–8 (⌀ 3)

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

    Key facts

    • Sollentuna FK dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.0 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Karlberg
    Sollentuna
    When goals are scored and conceded — 2026
    Karlberg (29–38)
    Sollentuna (21–31)
    Pass networks

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

    Karlberg
    Abiel Sequar: 269 passningar, xT 0.74SequarFelix Högberg: 247 passningar, xT 0.21HögbergFilip Nieminen Eriksson: 209 passningar, xT 0.5ErikssonViktor Steen: 192 passningar, xT 0.29SteenHugo Åslund: 189 passningar, xT 0.21ÅslundLukas Sietsema: 169 passningar, xT 0.74SietsemaAdam Backman: 129 passningar, xT 0.15BackmanMattias Mitku: 116 passningar, xT -0.01MitkuArgyrios Gkoulios: 102 passningar, xT 0.11GkouliosMilan Lalic: 88 passningar, xT 0.51LalicNoah Tesfai Negash: 80 passningar, xT 0.25Negash
    Sollentuna
    Umit Aras: 295 passningar, xT 0.15ArasLudvig Ennart: 216 passningar, xT 0.44EnnartJohannes Danho: 210 passningar, xT 0.83DanhoCharlie Axelsson: 207 passningar, xT 0.14AxelssonJonathan Zeberga: 154 passningar, xT 0.25ZebergaErik Lundell: 113 passningar, xT -0.09LundellOskar Käck: 112 passningar, xT 0.28KäckSalim Nkubiri: 109 passningar, xT 0.01NkubiriLukas Johansson: 109 passningar, xT 0.08JohanssonViktor Blumenthal: 94 passningar, xT 0.15BlumenthalJakob Bäckström: 79 passningar, xT 0.02Bäckström
    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.

    Karlberg
    Abiel Sequar: 269 passningar, xT 0.74SequarFelix Högberg: 247 passningar, xT 0.21HögbergFilip Nieminen Eriksson: 209 passningar, xT 0.5ErikssonViktor Steen: 192 passningar, xT 0.29SteenHugo Åslund: 189 passningar, xT 0.21ÅslundLukas Sietsema: 169 passningar, xT 0.74SietsemaAdam Backman: 129 passningar, xT 0.15BackmanMattias Mitku: 116 passningar, xT -0.01MitkuArgyrios Gkoulios: 102 passningar, xT 0.11GkouliosMilan Lalic: 88 passningar, xT 0.51LalicNoah Tesfai Negash: 80 passningar, xT 0.25Negash
    Sollentuna
    Umit Aras: 295 passningar, xT 0.15ArasLudvig Ennart: 216 passningar, xT 0.44EnnartJohannes Danho: 210 passningar, xT 0.83DanhoCharlie Axelsson: 207 passningar, xT 0.14AxelssonJonathan Zeberga: 154 passningar, xT 0.25ZebergaErik Lundell: 113 passningar, xT -0.09LundellOskar Käck: 112 passningar, xT 0.28KäckSalim Nkubiri: 109 passningar, xT 0.01NkubiriLukas Johansson: 109 passningar, xT 0.08JohanssonViktor Blumenthal: 94 passningar, xT 0.15BlumenthalJakob Bäckström: 79 passningar, xT 0.02Bäckström

    The teams in numbers

    PerformanceKarlbergSollentuna
    Points2824
    xPoints32.928.3
    xG per match1.41.1
    xGA per match1.31.2
    xG within 8s of winning the ball0.180.23
    xGA within 8s of losing the ball0.350.21
    Playing styleKarlbergSollentuna
    Build-up efficiency0.350.32
    Field tilt0.480.49
    xT per match1.41.3
    xTA per match1.51.3
    Won balls, offensive half2728
    Pressing intensity0.530.46
    Pressing efficiency0.240.22
    Pressing efficiency, offensive half0.230.23
    Entries into the box per match1311
    Entries into the box against1412
    Pass completion %0.820.83
    Pass completion % under pressure0.770.77
    Passes per match378389
    Passes against per match372399
    Switches of play per match12.913.2
    Long balls per match2834
    Set piecesKarlbergSollentuna
    xG from free kicks0.20.11
    Corners per match4.54.1
    Corners against per match4.54.8
    xG per corner0.030.04
    xGA per corner against0.010.02
    First touch, offensive corners %0.460.47
    First touch, defensive corners %0.640.64
    OtherKarlbergSollentuna
    Throw-in control0.610.59
    The goalkeepersArgyrios Gkoulios (Karlberg)Oscar Franck (Sollentuna)
    Saves6236
    Save %70%69%
    xG prevented50%38%
    Claims77 (90%)72 (92%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Karlberg vs Sollentuna according to our model?

    The model gives Karlberg a 39% win probability. Full 1X2 picture: Karlberg 39%, draw 25%, Sollentuna 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 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.