Swedish Ettan

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    KarlbergKarlbergCounter-attacks & crosses
    vs
    VasalundVasalundBalanced & physical
    The model's lean: 1 · Karlberg (41%)

    Karlberg vs Vasalund · Swedish Ettan

    1 · Karlberg 41%X 24%34% Vasalund · 2

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    Analysis: Karlberg – Vasalund

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Karlberg's inclination towards counter-attacks and crosses sets the stage for an intriguing clash against Vasalund's balanced and physical approach. With the hosts slightly favored at a 41% probability to win, there's a clear expectation of a tightly contested battle. The hosts' strength in transitions could exploit any lapses from the visitors, who might try to impose their physicality in a controlled manner. This stylistic contrast hints at a match shaped by moments of disruption rather than sustained dominance.

    The model sees a slight lean towards Karlberg, backed by the numbers. They hold a narrow lead in points, both actual and expected, suggesting they've been more consistent performers. Meanwhile, the expected goals per match from both teams are nearly identical, with Vasalund just edging it at 1.77 to 1.76. This parity is mirrored in the likelihood of both sides finding the net, pegged at 69%. Despite the small head-to-head sample of just five matches, which shows them evenly matched, Karlberg's recent form and xG metrics offer them a slight edge in this contest.

    One can anticipate a match where both teams score, given the 69% probability, with a high chance of over 2.5 goals at 68%. The most likely scorelines of 1-1, 1-2, and 2-1 further indicate a close game with potential for goals. This aligns with Karlberg's propensity to capitalize on counter-attacks and Vasalund's balanced play, which could lead to an open contest.

    While no outcome is certain in football, the hosts' superior metrics and their ability to exploit mistakes could tip the balance in their favor.

    KarlbergKarlberg
    Form LWLLD
    League ranking xG #16xGA #18xT #19xP/match #14Points #23
    Key players
    • Noah Tesfai NegashLWxG 0.20 · xT 0.26
    • Adam JemalFxG 0.47 · xT 0.16
    • Hugo FernándezRWxG 0.17 · xT 0.29
    VasalundVasalund
    Form LLDLW
    League ranking xG #22xGA #23xT #27xP/match #28Points #25
    Key players
    • Ali KhanLWxG 0.32 · xT 0.40
    • Marko NikolicFxG 0.18 · xT 0.22
    • Christopher SliwoFxG 0.52 · xT 0.05

    Match prediction: Karlberg – Vasalund

    Predicted score matrix

    Vasalund →
    Karlberg →
    0
    1
    2
    3
    4+
    0
    0–03.2%
    0–14.9%
    0–24.6%
    0–32.7%
    0–4+1.8%
    1
    1–04.9%
    1–19.4%
    1–28.1%
    1–34.8%
    1–4+3.1%
    2
    2–04.6%
    2–18.0%
    2–27.1%
    2–34.2%
    2–4+2.8%
    3
    3–02.7%
    3–14.7%
    3–24.2%
    3–32.5%
    3–4+1.6%
    4+
    4+–01.8%
    4+–13.1%
    4+–22.7%
    4+–31.6%
    4+–4+1.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-19%
    2. 2.1-28%
    3. 3.2-18%
    4. 4.2-27%
    5. 5.0-15%
    Expected goals
    1,76–1,77
    Both teams to score
    69%

    Over/under goals

    Expected goals: 3,5
    Under 2,532%
    –
    Over 2,568%
    –

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Karlberg or draw (1X)62%
    • Over 1.5 goals87%

    Combined probability

    53%

    Fair odds

    1.87

    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)62%
    • Over 2.5 goals68%
    • Adam Jemal to score28%

    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 score69%
    • Over 2.5 goals68%
    • Adam Jemal to score28%
    • Hugo Åslund 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

    No odds available yet.

    Statistics

    Head-to-head

    5 matches
    Karlberg 2Draw 1Vasalund 2
    Goals: 8–6 (⌀ 2,8)

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

    xG & xGA per match — 3-game rolling average

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

    Karlberg
    Vasalund
    When goals are scored and conceded — 2026
    Karlberg (30–39)
    Vasalund (35–48)
    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: 260 passningar, xT 0.29HögbergViktor Steen: 229 passningar, xT 0.32SteenFilip Nieminen Eriksson: 217 passningar, xT 0.62ErikssonLukas Sietsema: 187 passningar, xT 0.78SietsemaHugo Åslund: 168 passningar, xT 0.15ÅslundAdam Backman: 139 passningar, xT 0.22BackmanMattias Mitku: 93 passningar, xT -0.03MitkuHugo Fernández: 90 passningar, xT 0.29FernándezNoah Tesfai Negash: 89 passningar, xT 0.38NegashMilan Lalic: 83 passningar, xT 0.48Lalic
    Vasalund
    Tobias Westin: 215 passningar, xT 0.31WestinMartin Östergren: 183 passningar, xT 0.33ÖstergrenLudvig Lundvall: 179 passningar, xT 0.15LundvallEsaias Torppa: 158 passningar, xT 0.2TorppaJohn Lundström: 149 passningar, xT 0.11LundströmPetter Soelberg: 140 passningar, xT 0.62SoelbergMelvin Vucenovic Persson: 117 passningar, xT 0.29PerssonFilip Lukic: 106 passningar, xT 0.62LukicMarko Nikolic: 98 passningar, xT 0.77NikolicMaximilian Dejene: 98 passningar, xT 0.22DejeneAli Khan: 88 passningar, xT 0.24Khan
    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: 260 passningar, xT 0.29HögbergViktor Steen: 229 passningar, xT 0.32SteenFilip Nieminen Eriksson: 217 passningar, xT 0.62ErikssonLukas Sietsema: 187 passningar, xT 0.78SietsemaHugo Åslund: 168 passningar, xT 0.15ÅslundAdam Backman: 139 passningar, xT 0.22BackmanMattias Mitku: 93 passningar, xT -0.03MitkuHugo Fernández: 90 passningar, xT 0.29FernándezNoah Tesfai Negash: 89 passningar, xT 0.38NegashMilan Lalic: 83 passningar, xT 0.48Lalic
    Vasalund
    Tobias Westin: 215 passningar, xT 0.31WestinMartin Östergren: 183 passningar, xT 0.33ÖstergrenLudvig Lundvall: 179 passningar, xT 0.15LundvallEsaias Torppa: 158 passningar, xT 0.2TorppaJohn Lundström: 149 passningar, xT 0.11LundströmPetter Soelberg: 140 passningar, xT 0.62SoelbergMelvin Vucenovic Persson: 117 passningar, xT 0.29PerssonFilip Lukic: 106 passningar, xT 0.62LukicMarko Nikolic: 98 passningar, xT 0.77NikolicMaximilian Dejene: 98 passningar, xT 0.22DejeneAli Khan: 88 passningar, xT 0.24Khan

    The teams in numbers

    PerformanceKarlbergVasalund
    Points2927
    xPoints33.828.6
    xG per match1.41.2
    xGA per match1.41.5
    xG within 8s of winning the ball0.180.18
    xGA within 8s of losing the ball0.340.33
    Playing styleKarlbergVasalund
    Build-up efficiency0.350.36
    Field tilt0.480.52
    xT per match1.41.3
    xTA per match1.51.4
    Won balls, offensive half2729
    Pressing intensity0.530.53
    Pressing efficiency0.230.27
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1314
    Entries into the box against1414
    Pass completion %0.820.8
    Pass completion % under pressure0.770.75
    Passes per match377371
    Passes against per match372331
    Switches of play per match12.817.4
    Long balls per match2832
    Set piecesKarlbergVasalund
    xG from free kicks0.190.14
    Corners per match4.54.6
    Corners against per match4.65.1
    xG per corner0.030.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.460.49
    First touch, defensive corners %0.650.61
    OtherKarlbergVasalund
    Throw-in control0.620.6
    The goalkeepersArgyrios Gkoulios (Karlberg)Sindri Olafsson (Vasalund)
    Saves6264
    Save %70%68%
    xG prevented50%49%
    Claims77 (90%)102 (92%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Karlberg vs Vasalund according to our model?

    The model gives Karlberg a 41% win probability. Full 1X2 picture: Karlberg 41%, draw 24%, Vasalund 34%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 68% and under at 32%.

    Will both teams score?

    The probability of both teams scoring is 69% 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.