Swedish Ettan14°0,3 mm15 km/h

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    GefleGefleCounter-attacks & crosses
    vs
    ArlandaArlandaCounter-attacks & crosses
    The model's lean: 2 · Arlanda (40%)

    GefleArlanda · Swedish Ettan

    1 · Gefle 34%X 25%40% Arlanda · 2

    Analysis: GefleArlanda

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

    Arlanda's 40% win probability in the model suggests they've got the upper hand over Gefle, despite the tight expected goals of 1.54 to 1.44. This clash sees two counter-attacking teams squaring off, both relying on crosses, which could result in a cagey encounter. However, with a 57% probability for over 2.5 goals, the numbers hint at a match that might break open, especially considering the high likelihood of both teams finding the net at 60%.

    The rain — 7.5 mm expected — might dampen fiery attacking play, but it's factored into the model already. Despite this, Arlanda's slight advantage in points and expected points suggests they're better equipped to handle such conditions. Gefle's single win in their three recent encounters with Arlanda, while balanced by a draw and a loss, doesn't paint a definitive picture of dominance. It's a small sample, so season form takes precedence.

    Arlanda's superior xG of 1.4 per match compared to Gefle's 1.1 underscores their edge in creating quality chances. Defensively, both teams face the same xGA of 1.4, pointing to potential vulnerabilities at the back. Gefle's reliance on counter-attacks might struggle against a side that mirrors their style but does it a touch more effectively.

    Given these factors, a 1-2 scoreline seems plausible, just edging out the 1-1 model favorite. The betting value lies with Unibet's odds for Arlanda at 2.5, reflecting their edge in key metrics, even if the rain might flatten out attacking verve briefly. This one's Arlanda's to lose, with an entertaining edge should they unlock Gefle's defense.

    GefleGefle
    Form LWWDL
    League ranking xG #26xGA #20xT #22xP/match #19Points #22
    Key players
    • Deniz YaldirLWxG 0.03 · xT 0.28
    • Måns BerggrenFxG 0.16 · xT 0.03
    • Lukas VikgrenLWxG 0.21 · xT 0.31
    ArlandaArlanda
    Form DLWWL
    League ranking xG #15xGA #16xT #13xP/match #14Points #8
    Key players
    • Carl NorbergRWxG 0.06 · xT 0.64
    • Mario ButrosCAMxG 0.14 · xT 0.27
    • Isac AntholmLWxG 0.33 · xT 0.12

    Match prediction: GefleArlanda

    Predicted score matrix

    Arlanda
    Gefle
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–17.0%
    0–25.2%
    0–32.5%
    0–4+1.2%
    1
    1–07.5%
    1–111.6%
    1–28.1%
    1–33.9%
    1–4+1.9%
    2
    2–06.0%
    2–18.7%
    2–26.2%
    2–33.0%
    2–4+1.5%
    3
    3–03.1%
    3–14.5%
    3–23.2%
    3–31.5%
    3–4+0.8%
    4+
    4+–01.7%
    4+–12.4%
    4+–21.8%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,541,44
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    Over 2,557%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Arlanda or draw (X2)60%
    • Over 1.5 goals80%

    Combined probability

    48%

    Fair odds

    2.09

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

    02 · 3 legs

    Balanced

    • Double chance Arlanda or draw (X2)60%
    • Over 2.5 goals57%
    • Samuel Dawid Rydz to score22%

    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 score60%
    • Over 2.5 goals57%
    • Lukas Vikgren to score30%
    • Mario Butros to be booked18%

    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

    3 matches
    Gefle 1Draw 1Arlanda 1
    Goals: 45 (⌀ 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
    Arlanda
    When goals are scored and conceded 2026
    Gefle (2538)
    Arlanda (3424)
    Pass networks

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

    Gefle
    Dillan Ismail: 234 passningar, xT 0.08IsmailTheodor Hansemon: 215 passningar, xT 0.06HansemonEric Larsson: 208 passningar, xT 1.22LarssonDeniz Yaldir: 200 passningar, xT 0.65YaldirMamadou Kouyate: 170 passningar, xT -0.02KouyateRasmus Nehrman: 143 passningar, xT 0.14NehrmanMax Croon: 101 passningar, xT 0.51CroonMelker Spångberg: 92 passningar, xT 0.3SpångbergLukas Vikgren: 81 passningar, xT 0.51VikgrenSemin Zulum: 65 passningar, xT 0.22ZulumKevin Persson: 62 passningar, xT 0.09Persson
    Arlanda
    Erik Johansson Olsson: 232 passningar, xT 0.42OlssonCarl Norberg: 226 passningar, xT 3.18NorbergYoas Yemane: 175 passningar, xT 0.56YemaneLeonard Kleist: 168 passningar, xT 0.59KleistMark Gorgos: 133 passningar, xT 0.28GorgosIsac Giordano Eriksson: 106 passningar, xT 0.13ErikssonMuktar Ahmed: 83 passningar, xT 0.06AhmedAdam Smedberg Lagh: 78 passningar, xT 0.2LaghIsac Antholm: 65 passningar, xT 0.19AntholmSaifur Rehman: 54 passningar, xT -0.06RehmanLudvig Lars Johan Nyman: 52 passningar, xT -0.03Nyman
    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: 234 passningar, xT 0.08IsmailTheodor Hansemon: 215 passningar, xT 0.06HansemonEric Larsson: 208 passningar, xT 1.22LarssonDeniz Yaldir: 200 passningar, xT 0.65YaldirMamadou Kouyate: 170 passningar, xT -0.02KouyateRasmus Nehrman: 143 passningar, xT 0.14NehrmanMax Croon: 101 passningar, xT 0.51CroonMelker Spångberg: 92 passningar, xT 0.3SpångbergLukas Vikgren: 81 passningar, xT 0.51VikgrenSemin Zulum: 65 passningar, xT 0.22ZulumKevin Persson: 62 passningar, xT 0.09Persson
    Arlanda
    Erik Johansson Olsson: 232 passningar, xT 0.42OlssonCarl Norberg: 226 passningar, xT 3.18NorbergYoas Yemane: 175 passningar, xT 0.56YemaneLeonard Kleist: 168 passningar, xT 0.59KleistMark Gorgos: 133 passningar, xT 0.28GorgosIsac Giordano Eriksson: 106 passningar, xT 0.13ErikssonMuktar Ahmed: 83 passningar, xT 0.06AhmedAdam Smedberg Lagh: 78 passningar, xT 0.2LaghIsac Antholm: 65 passningar, xT 0.19AntholmSaifur Rehman: 54 passningar, xT -0.06RehmanLudvig Lars Johan Nyman: 52 passningar, xT -0.03Nyman

    The teams in numbers

    PerformanceGefleArlanda
    Points2436
    xPoints26.428.7
    xG per match1.11.4
    xGA per match1.41.4
    xG within 8s of winning the ball0.210.26
    xGA within 8s of losing the ball0.270.29
    Playing styleGefleArlanda
    Build-up efficiency0.350.34
    Field tilt0.430.41
    xT per match1.31.4
    xTA per match1.41.4
    Won balls, offensive half3033
    Pressing intensity0.470.5
    Pressing efficiency0.230.29
    Pressing efficiency, offensive half0.240.32
    Entries into the box per match1011
    Entries into the box against1314
    Pass completion %0.790.73
    Pass completion % under pressure0.750.67
    Passes per match337263
    Passes against per match439334
    Switches of play per match16.317.7
    Long balls per match2832
    Set piecesGefleArlanda
    xG from free kicks0.150.13
    Corners per match3.83.6
    Corners against per match5.14.8
    xG per corner0.030.03
    xGA per corner against0.040.03
    First touch, offensive corners %0.470.45
    First touch, defensive corners %0.580.58
    OtherGefleArlanda
    Throw-in control0.580.42
    The goalkeepersMax Croon (Gefle)Adam Smedberg Lagh (Arlanda)
    Saves6269
    Save %62%75%
    xG prevented38%56%
    Claims83 (97%)98 (95%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Gefle vs Arlanda according to our model?

    The model gives Arlanda a 40% win probability. Full 1X2 picture: Gefle 34%, draw 25%, Arlanda 40%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.