Swedish Ettan

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    JärfällaJärfällaCounter-attacks & crosses
    vs
    Umeå FCUmeå FCPossession control
    The model's lean: 2 · Umeå FC (44%)

    Järfälla vs Umeå FC · Swedish Ettan

    1 · Järfälla 31%X 25%44% Umeå FC · 2

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    Analysis: Järfälla – Umeå FC

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

    TEXT: With a 44% win probability, Umeå FC enters the clash with Järfälla as the model's preferred side. This match-up pits Järfälla's counter-attacking style against Umeå's possession-based approach. Although Järfälla claimed victory in their sole head-to-head meeting since 2023, that single encounter carries little weight against the broader backdrop of form and expected goals data. Umeå's superior xG per match of 1.6 compared to Järfälla's 1.2 highlights their attacking edge, while a marginally better defensive record also favors the visitors.

    Projected scorelines show a tight battle, with 1-1 and 1-2 both sitting at 8-10% likelihoods. These forecasts reflect the balanced nature of the encounter, despite Umeå's overall statistical superiority. The expected goals tally — Järfälla at 1.61 and Umeå at 1.66 — further underscores a potentially close contest. Yet, with a 63% chance of over 2.5 goals and 65% for both teams to score, the metrics suggest an open game where defenses could be breached multiple times.

    In terms of betting, the standout value may lie with the over 2.5 goals market, given the offensive profiles and expected high goal count. Umeå FC's slight advantage nudges the expected outcome towards a 1-2 win for the visitors.

    JärfällaJärfälla
    Form LLWLL
    League ranking xG #24xGA #29xT #28xP/match #29Points #30
    Key players
    • Adhavan RajamohanFxG 0.08 · xT 0.29
    • Kahin DahirFxG 0.36 · xT 0.07
    • Adam WürtzFxG 0.20 · xT 0.22
    Umeå FCUmeå FC
    Form WLWWL
    League ranking xG #4xGA #26xT #26xP/match #12Points #22
    Key players
    • Stefan LindmarkCMxG 0.06 · xT 0.30
    • Emmanuel OlaworeRWxG 0.24 · xT 0.35
    • Robin HadadFxG 0.66 · xT -0.02

    Match prediction: Järfälla – Umeå FC

    Predicted score matrix

    Umeå FC →
    Järfälla →
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–16.0%
    0–25.2%
    0–32.9%
    0–4+1.7%
    1
    1–05.8%
    1–110.5%
    1–28.4%
    1–34.7%
    1–4+2.8%
    2
    2–04.9%
    2–18.2%
    2–26.8%
    2–33.8%
    2–4+2.3%
    3
    3–02.6%
    3–14.4%
    3–23.6%
    3–32.0%
    3–4+1.2%
    4+
    4+–01.5%
    4+–12.5%
    4+–22.1%
    4+–31.2%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-28%
    3. 3.2-18%
    4. 4.2-27%
    5. 5.0-16%
    Expected goals
    1,61–1,66
    Both teams to score
    65%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    –
    Over 2,563%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Umeå FC or draw (X2)63%
    • Over 1.5 goals84%

    Combined probability

    53%

    Fair odds

    1.89

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

    02 · 3 legs

    Balanced

    • Double chance Umeå FC or draw (X2)63%
    • Over 2.5 goals63%
    • Robin Hadad to score23%

    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 goals63%
    • Abdulmannan Khalil to score32%
    • Fredrick Udoh Godwin 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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Järfälla 1Draw 0Umeå FC 0
    Goals: 3–1 (⌀ 4)

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

    xG & xGA per match — 3-game rolling average

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

    Järfälla
    Umeå FC
    When goals are scored and conceded — 2026
    Järfälla (32–54)
    Umeå FC (32–40)
    Pass networks

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

    Järfälla
    Yosef Aksoy: 202 passningar, xT 0.26AksoyDjoseph Bangala: 176 passningar, xT 0.43BangalaEmil Drugge Stals: 122 passningar, xT 0.21StalsKenan Nisic: 120 passningar, xT 0.36NisicNathnael Medhin T: 96 passningar, xT 0.26TNaramsin Akdemir: 93 passningar, xT 0.18AkdemirCedrik Freado Danha: 85 passningar, xT 0.48DanhaAdrian Hamidi: 78 passningar, xT 0.12HamidiDegome Dibaga: 73 passningar, xT 0.26DibagaDaniel Markovski: 65 passningar, xT 1.09MarkovskiErik von Feilitzen: 51 passningar, xT 0.23Feilitzen
    Umeå FC
    David Ekman: 240 passningar, xT 0.47EkmanNeo Lindén: 180 passningar, xT 0.36LindénRasmus Andersson: 163 passningar, xT 0.43AnderssonJerry Essombe Mambingo: 161 passningar, xT 0.25MambingoSimon Wagnsson: 160 passningar, xT 0.3WagnssonFredrick Udoh Godwin: 140 passningar, xT 0.41GodwinMusa Njie: 84 passningar, xT 0.72NjiePontus Eriksson: 64 passningar, xT 0.26ErikssonSam Forsman: 55 passningar, xT 0.8ForsmanIsak Johansson: 54 passningar, xT 0.52JohanssonSteve Zishim Bawa: 48 passningar, xT 0.17Bawa
    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: 202 passningar, xT 0.26AksoyDjoseph Bangala: 176 passningar, xT 0.43BangalaEmil Drugge Stals: 122 passningar, xT 0.21StalsKenan Nisic: 120 passningar, xT 0.36NisicNathnael Medhin T: 96 passningar, xT 0.26TNaramsin Akdemir: 93 passningar, xT 0.18AkdemirCedrik Freado Danha: 85 passningar, xT 0.48DanhaAdrian Hamidi: 78 passningar, xT 0.12HamidiDegome Dibaga: 73 passningar, xT 0.26DibagaDaniel Markovski: 65 passningar, xT 1.09MarkovskiErik von Feilitzen: 51 passningar, xT 0.23Feilitzen
    Umeå FC
    David Ekman: 240 passningar, xT 0.47EkmanNeo Lindén: 180 passningar, xT 0.36LindénRasmus Andersson: 163 passningar, xT 0.43AnderssonJerry Essombe Mambingo: 161 passningar, xT 0.25MambingoSimon Wagnsson: 160 passningar, xT 0.3WagnssonFredrick Udoh Godwin: 140 passningar, xT 0.41GodwinMusa Njie: 84 passningar, xT 0.72NjiePontus Eriksson: 64 passningar, xT 0.26ErikssonSam Forsman: 55 passningar, xT 0.8ForsmanIsak Johansson: 54 passningar, xT 0.52JohanssonSteve Zishim Bawa: 48 passningar, xT 0.17Bawa

    The teams in numbers

    PerformanceJärfällaUmeå FC
    Points1829
    xPoints27.734.6
    xG per match1.21.6
    xGA per match1.81.6
    xG within 8s of winning the ball0.260.29
    xGA within 8s of losing the ball0.310.26
    Playing styleJärfällaUmeå FC
    Build-up efficiency0.320.33
    Field tilt0.370.41
    xT per match1.21.3
    xTA per match1.61.5
    Won balls, offensive half2228
    Pressing intensity0.470.44
    Pressing efficiency0.230.27
    Pressing efficiency, offensive half0.230.29
    Entries into the box per match1013
    Entries into the box against1615
    Pass completion %0.810.78
    Pass completion % under pressure0.770.71
    Passes per match371321
    Passes against per match385359
    Switches of play per match15.917.2
    Long balls per match3031
    Set piecesJärfällaUmeå FC
    xG from free kicks0.210.15
    Corners per match4.25.8
    Corners against per match5.15.5
    xG per corner0.030.06
    xGA per corner against0.030.03
    First touch, offensive corners %0.340.25
    First touch, defensive corners %0.520.51
    OtherJärfällaUmeå FC
    Throw-in control0.560.55
    The goalkeepersErik von Feilitzen (Järfälla)Pontus Eriksson (Umeå FC)
    Saves6954
    Save %64%67%
    xG prevented38%45%
    Claims83 (88%)71 (92%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Järfälla vs Umeå FC according to our model?

    The model gives Umeå FC a 44% win probability. Full 1X2 picture: Järfälla 31%, draw 25%, Umeå FC 44%.

    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 63% and under at 37%.

    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.