Swedish Ettan14°24 km/h

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    AFC EskilstunaAFC EskilstunaPossession & high press
    vs
    GefleGefleCounter-attacks & crosses
    The model's lean: 1 · AFC Eskilstuna (45%)

    AFC Eskilstuna vs Gefle · Swedish Ettan

    1 · AFC Eskilstuna 45%X 26%29% Gefle · 2

    Analysis: AFC EskilstunaGefle

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

    FAKTA does not include any head-to-head history between the teams, so the claim about meeting "only three times in 2023" is unsupported and should be removed.

    AFC Eskilstuna and Gefle face off in a contest where the broader season trends carry more weight than any head-to-head history. The hosts hold a statistical edge in expected goals, suggesting a slight upper hand in this encounter. Eskilstuna's 40 points compared to Gefle's 27 further highlight their advantage, as does their model probability of 45% compared to Gefle's 29%. The numbers suggest Eskilstuna's high-pressing game could dictate the tempo.

    Eskilstuna's strategy of possession and high press could be particularly effective against Gefle's counter-attacking style. With an expected goals figure of 1.59 versus Gefle's 1.15, the home side should generate more opportunities. However, Gefle's proficiency with crosses on the break could pose challenges if Eskilstuna's press leaves gaps at the back. This tactical chess match tilts slightly towards Eskilstuna, but the risk remains if they fail to convert possession into goals.

    The probability of a 1-1 draw at 12% emerges as the most likely scoreline, hinting at a competitive affair where both sides find the net. Despite the model showing a 52% chance of over 2.5 goals, the 2.1 mm of expected rain could suppress scoring, as wet conditions tend to favour defensive solidity over attacking fluidity. This weather factor is, however, already accounted for in the model, leaving the over/under line finely balanced.

    In terms of betting value, AFC Eskilstuna's implicit edge might offer a slight advantage. With the bookmakers setting odds reflecting a closer contest, there's potential value in backing the hosts at odds above their 45% implied probability. The judgement here is that while goals might be stifled by the weather, Eskilstuna's tactical edge could be decisive if the odds reflect this imbalance correctly.

    AFC EskilstunaAFC Eskilstuna
    League ranking xG #15xGA #11xT #31xP/match #11Points #4
    Key players
    • Robin BjörkmanFxG 0.27 · xT 0.10
    • Lee HanssonFxG 0.36 · xT 0.20
    • Albin FlodkvistFxG 0.29 · xT -0.01
    GefleGefle
    Form WWDLW
    League ranking xG #27xGA #18xT #24xP/match #19Points #20
    Key players
    • Deniz YaldirLWxG 0.03 · xT 0.27
    • Måns BerggrenFxG 0.18 · xT 0.04
    • Lukas VikgrenLWxG 0.21 · xT 0.31

    Match prediction: AFC EskilstunaGefle

    Predicted score matrix

    Gefle
    AFC Eskilstuna
    0
    1
    2
    3
    4+
    0
    0–06.8%
    0–17.1%
    0–24.2%
    0–31.6%
    0–4+0.6%
    1
    1–010.0%
    1–112.1%
    1–26.8%
    1–32.6%
    1–4+0.9%
    2
    2–08.2%
    2–19.4%
    2–25.4%
    2–32.1%
    2–4+0.8%
    3
    3–04.4%
    3–15.0%
    3–22.9%
    3–31.1%
    3–4+0.4%
    4+
    4+–02.5%
    4+–12.8%
    4+–21.6%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,591,15
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,548%
    Over 2,552%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • AFC Eskilstuna to win45%
    • Over 1.5 goals76%

    Combined probability

    37%

    Fair odds

    2.68

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

    02 · 3 legs

    Balanced

    • AFC Eskilstuna to win45%
    • Over 2.5 goals52%
    • Armin Culum 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 score55%
    • Over 2.5 goals52%
    • Armin Culum to score25%
    • Ryan Williams 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 · AFC EskilstunaX2 · Gefle
    Betsafe2.023.553.00
    Betsson2.023.553.00
    Nordicbet2.023.553.00

    Odds updated 17 Sept, 08:37

    Odds movement

    1-3 %
    47 %42 %

    2.082.02

    X0 %
    28 %23 %

    3.553.55

    2+3 %
    33 %28 %

    2.903.00

    Betsson · 2 recorded price levels · 15/09/2026 → 17/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    AFC Eskilstuna
    Gefle
    When goals are scored and conceded 2026
    AFC Eskilstuna (3627)
    Gefle (2839)
    Pass networks

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

    Gefle
    Theodor Hansemon: 284 passningar, xT -0.15HansemonDillan Ismail: 252 passningar, xT 0.14IsmailDeniz Yaldir: 209 passningar, xT 0.74YaldirRasmus Nehrman: 177 passningar, xT 0.48NehrmanEric Larsson: 170 passningar, xT 0.73LarssonMamadou Kouyate: 158 passningar, xT 0.05KouyateMelker Spångberg: 105 passningar, xT 0.14SpångbergMax Croon: 98 passningar, xT 0.55CroonKevin Persson: 87 passningar, xT 0.05PerssonLukas Vikgren: 80 passningar, xT 0.73VikgrenAlen Zahirovic: 65 passningar, xT 0.15Zahirovic
    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
    Theodor Hansemon: 284 passningar, xT -0.15HansemonDillan Ismail: 252 passningar, xT 0.14IsmailDeniz Yaldir: 209 passningar, xT 0.74YaldirRasmus Nehrman: 177 passningar, xT 0.48NehrmanEric Larsson: 170 passningar, xT 0.73LarssonMamadou Kouyate: 158 passningar, xT 0.05KouyateMelker Spångberg: 105 passningar, xT 0.14SpångbergMax Croon: 98 passningar, xT 0.55CroonKevin Persson: 87 passningar, xT 0.05PerssonLukas Vikgren: 80 passningar, xT 0.73VikgrenAlen Zahirovic: 65 passningar, xT 0.15Zahirovic

    The teams in numbers

    PerformanceAFC EskilstunaGefle
    Points4027
    xPoints31.427.8
    xG per match1.41.1
    xGA per match1.31.4
    xG within 8s of winning the ball0.330.21
    xGA within 8s of losing the ball0.180.26
    Playing styleAFC EskilstunaGefle
    Build-up efficiency0.380.35
    Field tilt0.460.43
    xT per match1.11.3
    xTA per match1.41.4
    Won balls, offensive half2730
    Pressing intensity0.50.47
    Pressing efficiency0.230.23
    Pressing efficiency, offensive half0.240.24
    Entries into the box per match1210
    Entries into the box against1213
    Pass completion %0.80.8
    Pass completion % under pressure0.740.75
    Passes per match363340
    Passes against per match397434
    Switches of play per match16.416.3
    Long balls per match3328
    Set piecesAFC EskilstunaGefle
    xG from free kicks0.140.15
    Corners per match4.54
    Corners against per match4.25.1
    xG per corner0.020.03
    xGA per corner against0.040.03
    First touch, offensive corners %0.450.48
    First touch, defensive corners %0.570.6
    OtherAFC EskilstunaGefle
    Throw-in control0.550.59
    The goalkeepersAFC EskilstunaMax Croon (Gefle)
    Saves65
    Save %63%
    xG prevented39%
    Claims90 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AFC Eskilstuna vs Gefle according to our model?

    The model gives AFC Eskilstuna a 45% win probability. Full 1X2 picture: AFC Eskilstuna 45%, draw 26%, Gefle 29%.

    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 55% 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.