Swedish Ettan10°14 km/h

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    GefleGefleCounter-attacks & crosses
    vs
    VasalundVasalundPossession control
    The model's lean: 1 · Gefle (39%)Best value by the model: 2 · Vasalund @ 3.30 (+15 %)

    Gefle vs Vasalund · Swedish Ettan

    1 · Gefle 39%X 26%35% Vasalund · 2

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    Analysis: Gefle – Vasalund

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

    Gefle's counter-attacking style meets a Vasalund team that favors possession control, creating an intriguing tactical clash. Despite their differing approaches, both sides are poised to find the back of the net. Notably, the hosts lead the standings with 30 points compared to the visitors' 24, giving Gefle an edge in current form. However, Vasalund's recent head-to-head superiority—winning all three encounters since 2023—raises questions about Gefle's psychological readiness. Yet, such a small sample size should be treated cautiously when weighted against season form.

    The expected goals tell a nuanced story. Gefle's 1.67 xG reflects their proficiency in creating quality chances through counter-attacks, although the visitors are not far behind at 1.62 xG. Meanwhile, the xGA figures favor Gefle, who concede an average of 1.4 goals per game compared to Vasalund's 1.6. This defensive edge could tilt the balance slightly in the hosts' favor, despite Vasalund's historical upper hand.

    The model forecasts a tight affair with Gefle holding a 39% chance of victory against Vasalund's 35%, and a draw sitting at 26%. The margins are slim, suggesting a real battle for supremacy. With a 64% probability of over 2.5 goals and a 65% chance for both teams to score, a high-scoring match seems likely, informed by both teams' attacking capacities. The most likely scorelines being 1-1 at 10% and 2-1 or 1-2 at 8% each further emphasize a close contest.

    For bettors, the standout angle lies in the value opportunity on offer. Over 3.5 goals, priced at 2.62 with Betsafe, Betsson, and Nordicbet, presents a juicy 10% edge according to the model's 42% probability. This isn't a guarantee but emerges as a compelling option in a matchup where goals appear to be the order of the day.

    GefleGefle
    Form DLWLW
    League ranking xG #26xGA #19xT #23xP/match #17Points #19
    Key players
    • Adem SipicFxG 0.29 · xT 0.09
    • Måns BerggrenFxG 0.18 · xT 0.04
    • Lukas VikgrenLWxG 0.22 · xT 0.30
    VasalundVasalund
    Form LLLDL
    League ranking xG #21xGA #27xT #25xP/match #28Points #26
    Key players
    • Ali KhanLWxG 0.32 · xT 0.40
    • Marko NikolicFxG 0.16 · xT 0.24
    • Christopher SliwoFxG 0.52 · xT 0.05

    Match prediction: Gefle – Vasalund

    Predicted score matrix

    Vasalund →
    Gefle →
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–15.7%
    0–24.9%
    0–32.6%
    0–4+1.5%
    1
    1–05.9%
    1–110.4%
    1–28.1%
    1–34.4%
    1–4+2.6%
    2
    2–05.2%
    2–18.4%
    2–26.8%
    2–33.7%
    2–4+2.1%
    3
    3–02.9%
    3–14.7%
    3–23.8%
    3–32.1%
    3–4+1.2%
    4+
    4+–01.8%
    4+–12.9%
    4+–22.3%
    4+–31.3%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-18%
    3. 3.1-28%
    4. 4.2-27%
    5. 5.1-06%
    Expected goals
    1,67–1,62
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.10
    Over 2,564%
    @1.65EV+6%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Gefle or draw (1X)63%
    • Over 1.5 goals84%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Double chance Gefle or draw (1X)63%
    • Over 2.5 goals64%
    • Lukas Vikgren 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%
    • Lukas Vikgren to score25%
    • Esaias Torppa to be booked20%

    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 · Vasalund35% probability@3.30BetsafeEV+15%reference odds
    • 2 · Vasalund35% probability@3.30BetssonEV+15%reference odds
    • 2 · Vasalund35% probability@3.30NordicbetEV+15%reference odds
    Bookmaker1 · GefleX2 · Vasalund
    Betsafe1.953.45
    EV+ 15%
    3.30
    Betsson1.953.45
    EV+ 15%
    3.30
    Nordicbet1.953.45
    EV+ 15%
    3.30

    Odds updated 27 Sept, 13:35

    Odds movement

    Market signal

    The market has moved clearly towards a Gefle win since 22 September — the odds have shortened from 2.52 to 1.95 (−23%).

    1-23 %
    51 %31 %

    2.52 → 1.95

    X-1 %
    37 %17 %

    3.50 → 3.45

    2+38 %
    43 %23 %

    2.40 → 3.30

    Betsson · 5 recorded price levels · 22/09/2026 → 27/09/2026 · fixed scale 20 percentage points

    Statistics

    Head-to-head

    3 matches
    Gefle 0Draw 0Vasalund 3
    Goals: 2–7 (⌀ 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).

    Gefle
    Vasalund
    When goals are scored and conceded — 2026
    Gefle (29–41)
    Vasalund (34–48)
    Pass networks

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

    Gefle
    Dillan Ismail: 212 passningar, xT 0.13IsmailDeniz Yaldir: 208 passningar, xT 1.07YaldirTheodor Hansemon: 208 passningar, xT -0.19HansemonRasmus Nehrman: 163 passningar, xT 0.36NehrmanKevin Persson: 141 passningar, xT 0.16PerssonMamadou Kouyate: 115 passningar, xT 0.02KouyateMelker Spångberg: 104 passningar, xT -0.12SpångbergMax Croon: 82 passningar, xT 0.51CroonAlen Zahirovic: 75 passningar, xT 0.98ZahirovicLukas Vikgren: 73 passningar, xT 1.02VikgrenMalïk Mokédé: 71 passningar, xT 0.38Mokédé
    Vasalund
    Tobias Westin: 198 passningar, xT 0.25WestinEsaias Torppa: 177 passningar, xT 0.26TorppaMartin Östergren: 164 passningar, xT 0.17ÖstergrenJohn Lundström: 152 passningar, xT 0.06LundströmPetter Soelberg: 140 passningar, xT 0.62SoelbergLudvig Lundvall: 134 passningar, xT 0.13LundvallAli Khan: 129 passningar, xT 0.62KhanFilip Lukic: 126 passningar, xT 0.48LukicMaximilian Dejene: 119 passningar, xT 0.36DejeneMelvin Vucenovic Persson: 88 passningar, xT 0.26PerssonMarko Nikolic: 82 passningar, xT 0.69Nikolic
    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.

    Gefle
    Dillan Ismail: 212 passningar, xT 0.13IsmailDeniz Yaldir: 208 passningar, xT 1.07YaldirTheodor Hansemon: 208 passningar, xT -0.19HansemonRasmus Nehrman: 163 passningar, xT 0.36NehrmanKevin Persson: 141 passningar, xT 0.16PerssonMamadou Kouyate: 115 passningar, xT 0.02KouyateMelker Spångberg: 104 passningar, xT -0.12SpångbergMax Croon: 82 passningar, xT 0.51CroonAlen Zahirovic: 75 passningar, xT 0.98ZahirovicLukas Vikgren: 73 passningar, xT 1.02VikgrenMalïk Mokédé: 71 passningar, xT 0.38Mokédé
    Vasalund
    Tobias Westin: 198 passningar, xT 0.25WestinEsaias Torppa: 177 passningar, xT 0.26TorppaMartin Östergren: 164 passningar, xT 0.17ÖstergrenJohn Lundström: 152 passningar, xT 0.06LundströmPetter Soelberg: 140 passningar, xT 0.62SoelbergLudvig Lundvall: 134 passningar, xT 0.13LundvallAli Khan: 129 passningar, xT 0.62KhanFilip Lukic: 126 passningar, xT 0.48LukicMaximilian Dejene: 119 passningar, xT 0.36DejeneMelvin Vucenovic Persson: 88 passningar, xT 0.26PerssonMarko Nikolic: 82 passningar, xT 0.69Nikolic

    The teams in numbers

    PerformanceGefleVasalund
    Points3024
    xPoints31.427
    xG per match1.21.3
    xGA per match1.41.6
    xG within 8s of winning the ball0.230.18
    xGA within 8s of losing the ball0.230.34
    Playing styleGefleVasalund
    Build-up efficiency0.350.36
    Field tilt0.430.53
    xT per match1.31.3
    xTA per match1.31.4
    Won balls, offensive half3029
    Pressing intensity0.470.52
    Pressing efficiency0.230.27
    Pressing efficiency, offensive half0.240.27
    Entries into the box per match1114
    Entries into the box against1314
    Pass completion %0.790.8
    Pass completion % under pressure0.750.75
    Passes per match331372
    Passes against per match434329
    Switches of play per match16.617.4
    Long balls per match2832
    Set piecesGefleVasalund
    xG from free kicks0.160.14
    Corners per match44.7
    Corners against per match5.15
    xG per corner0.030.04
    xGA per corner against0.030.04
    First touch, offensive corners %0.470.48
    First touch, defensive corners %0.580.59
    OtherGefleVasalund
    Throw-in control0.590.59
    The goalkeepersMax Croon (Gefle)Sindri Olafsson (Vasalund)
    Saves7661
    Save %65%67%
    xG prevented41%48%
    Claims106 (96%)93 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Gefle vs Vasalund according to our model?

    The model gives Gefle a 39% win probability. Full 1X2 picture: Gefle 39%, draw 26%, Vasalund 35%.

    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.