Swedish Ettan

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    JärfällaJärfällaCounter-attacks & crosses
    vs
    AFC EskilstunaAFC EskilstunaPossession & high press
    The model's lean: 2 · AFC Eskilstuna (51%)

    Järfälla vs AFC Eskilstuna · Swedish Ettan

    1 · Järfälla 25%X 24%51% AFC Eskilstuna · 2

    Analysis: JärfällaAFC Eskilstuna

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

    TEXT: Järfälla's counter-attacking style faces a stern test against AFC Eskilstuna's possession-heavy approach, with the visitors looking to impose their high press. The hosts have been effective at creating chances on the break, but their defense has been leaky, conceding an average of 1.7 expected goals against per match. This vulnerability might be their undoing against Eskilstuna, who not only dominate possession but also maintain a solid defensive structure with an xGA of just 1.3 per match.

    The visitors come into this match with a clear statistical edge, sitting on 43 points compared to Järfälla's 18. Their ability to control games and apply pressure in the final third has been reflected in their expected goals, averaging 1.4 per match. While Järfälla’s offensive play has been somewhat effective with 1.2 xG per match, their reliance on crosses and counters might struggle against Eskilstuna's high press, which is designed to disrupt such transitions.

    Despite Järfälla's efforts to exploit spaces left by Eskilstuna's pressing game, the model gives Eskilstuna a 51% chance of victory. The small head-to-head sample is less informative than recent form and expected goals, but even with a 12% chance of a 1-1 draw, the model still leans heavily towards an Eskilstuna win.

    The market's expectation of over 2.5 goals at a 55% probability aligns with the styles both teams deploy, but the real intrigue lies in the betting value. A 1-2 win for Eskilstuna at 9% probability represents a plausible outcome. Notably, the combination of Eskilstuna’s pressing and Järfälla’s defensive frailties suggests a game that could tilt towards the visitors. While not a guarantee, this represents a compelling angle given the statistical disparities.

    JärfällaJärfälla
    Form LLLWL
    League ranking xG #25xGA #29xT #29xP/match #29Points #29
    Key players
    • Adhavan RajamohanFxG 0.08 · xT 0.29
    • Adam WürtzFxG 0.18 · xT 0.23
    • Kahin DahirFxG 0.33 · xT 0.07
    AFC EskilstunaAFC Eskilstuna
    League ranking xG #15xGA #13xT #31xP/match #11Points #3
    Key players
    • Robin BjörkmanFxG 0.27 · xT 0.10
    • Lee HanssonFxG 0.35 · xT 0.19
    • Albin FlodkvistFxG 0.27 · xT -0.01

    Match prediction: JärfällaAFC Eskilstuna

    Predicted score matrix

    AFC Eskilstuna
    Järfälla
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–18.9%
    0–27.7%
    0–34.3%
    0–4+2.6%
    1
    1–06.4%
    1–111.6%
    1–29.4%
    1–35.3%
    1–4+3.2%
    2
    2–04.1%
    2–16.9%
    2–25.8%
    2–33.2%
    2–4+2.0%
    3
    3–01.7%
    3–12.8%
    3–22.4%
    3–31.3%
    3–4+0.8%
    4+
    4+–00.7%
    4+–11.1%
    4+–20.9%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.0-28%
    5. 5.2-17%
    Expected goals
    1,231,67
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    Over 2,555%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • AFC Eskilstuna to win51%
    • Over 1.5 goals79%

    Combined probability

    39%

    Fair odds

    2.60

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

    02 · 2 legs

    Balanced

    • AFC Eskilstuna to win51%
    • Over 2.5 goals55%

    Combined probability

    31%

    Fair odds

    3.25

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 2 legs

    Bold

    • Both teams to score58%
    • Over 2.5 goals55%

    Combined probability

    46%

    Fair odds

    2.17

    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 · JärfällaX2 · AFC Eskilstuna
    Betsafe3.703.951.72
    Betsson3.703.951.72
    Nordicbet3.703.951.72

    Odds updated 21 Sept, 14:35

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Järfälla
    AFC Eskilstuna
    When goals are scored and conceded 2026
    Järfälla (3050)
    AFC Eskilstuna (4130)
    Pass networks

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

    Järfälla
    Yosef Aksoy: 254 passningar, xT 0.43AksoyKenan Nisic: 186 passningar, xT 0.63NisicDjoseph Bangala: 163 passningar, xT 0.29BangalaNathnael Medhin T: 118 passningar, xT 0.22TCedrik Freado Danha: 110 passningar, xT 0.51DanhaAdrian Hamidi: 107 passningar, xT 0.1HamidiEmil Drugge Stals: 104 passningar, xT 0.28StalsNaramsin Akdemir: 100 passningar, xT 0.19AkdemirAnthony Portilla: 89 passningar, xT 0.11PortillaPeter Saweris: 73 passningar, xT -0.02SawerisErik von Feilitzen: 66 passningar, xT 0.23Feilitzen
    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.

    Järfälla
    Yosef Aksoy: 254 passningar, xT 0.43AksoyKenan Nisic: 186 passningar, xT 0.63NisicDjoseph Bangala: 163 passningar, xT 0.29BangalaNathnael Medhin T: 118 passningar, xT 0.22TCedrik Freado Danha: 110 passningar, xT 0.51DanhaAdrian Hamidi: 107 passningar, xT 0.1HamidiEmil Drugge Stals: 104 passningar, xT 0.28StalsNaramsin Akdemir: 100 passningar, xT 0.19AkdemirAnthony Portilla: 89 passningar, xT 0.11PortillaPeter Saweris: 73 passningar, xT -0.02SawerisErik von Feilitzen: 66 passningar, xT 0.23Feilitzen

    The teams in numbers

    PerformanceJärfällaAFC Eskilstuna
    Points1843
    xPoints26.533.8
    xG per match1.21.4
    xGA per match1.71.3
    xG within 8s of winning the ball0.230.3
    xGA within 8s of losing the ball0.30.2
    Playing styleJärfällaAFC Eskilstuna
    Build-up efficiency0.320.38
    Field tilt0.380.47
    xT per match1.21.1
    xTA per match1.51.4
    Won balls, offensive half2228
    Pressing intensity0.470.5
    Pressing efficiency0.220.23
    Pressing efficiency, offensive half0.220.24
    Entries into the box per match1012
    Entries into the box against1612
    Pass completion %0.820.8
    Pass completion % under pressure0.770.74
    Passes per match380371
    Passes against per match386386
    Switches of play per match15.916.2
    Long balls per match3033
    Set piecesJärfällaAFC Eskilstuna
    xG from free kicks0.20.14
    Corners per match4.14.5
    Corners against per match54.2
    xG per corner0.030.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.340.46
    First touch, defensive corners %0.50.58
    OtherJärfällaAFC Eskilstuna
    Throw-in control0.570.55
    The goalkeepersErik von Feilitzen (Järfälla)AFC Eskilstuna
    Saves65
    Save %65%
    xG prevented41%
    Claims75 (90%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Järfälla vs AFC Eskilstuna according to our model?

    The model gives AFC Eskilstuna a 51% win probability. Full 1X2 picture: Järfälla 25%, draw 24%, AFC Eskilstuna 51%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.