Swedish Ettan

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    JärfällaJärfällaCounter-attacks & crosses
    vs
    KarlbergKarlbergBalanced & physical
    The model's lean: 2 · Karlberg (45%)Best value by the model: 1 · Järfälla @ 3.25 (+6 %)

    Järfälla vs Karlberg · Swedish Ettan

    1 · Järfälla 33%X 23%45% Karlberg · 2

    Analysis: JärfällaKarlberg

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT (corrected):

    Since 2023, Järfälla and Karlberg have faced off just once, with Järfälla securing the win. With such a small sample size, this head-to-head result should be taken with a grain of salt, especially given the stark contrast in their current trajectories. Järfälla are grappling with a troubling seven-match losing streak. In contrast, Karlberg's form and league standing suggest a team better equipped to claim points.

    Järfälla's style hinges on counter-attacks and crosses, yet this approach has failed to yield results lately. Their expected goals (xG) of 1.2 per match indicate a struggle to create quality chances. Defensively, they concede too much, with an expected goals against (xGA) of 1.8 per game, leaving them vulnerable against a balanced and physical Karlberg side. The visitors have an edge with their xG of 1.5 and a sturdier xGA of 1.4, underpinning their superior league position and points tally.

    The model's probabilities underscore Karlberg's advantage: a 45% chance of winning compared to Järfälla's 33%. The most likely scorelines suggest a close contest, with 1-1 and 1-2 being the top predictions. However, the looming question of goals remains intriguing. The model projects a high-scoring encounter with a 67% likelihood of over 2.5 goals and both teams finding the net. This aligns with the expectation that, despite Järfälla's struggles, their counter-attacking style might still breach Karlberg's defense.

    For those seeking potential value, Betsafe, Betsson, and Nordicbet offer odds of 3.25 on a Järfälla win, which represents a 6% edge based on the model’s assessment. While this is an attractive proposition from a value perspective, it doesn't mitigate the underdogs' recent form struggles. Nonetheless, this edge is worth considering for those drawn to calculated risk, emphasizing potential value over certain payoff.

    JärfällaJärfälla
    Form LLLLL
    League ranking xG #25xGA #29xT #29xP/match #29Points #30
    Key players
    • Adhavan RajamohanFxG 0.08 · xT 0.29
    • Adam WürtzFxG 0.19 · xT 0.23
    • Kahin DahirFxG 0.32 · xT 0.08
    KarlbergKarlberg
    Form WLDLW
    League ranking xG #11xGA #16xT #14xP/match #10Points #16
    Key players
    • Noah Tesfai NegashLWxG 0.20 · xT 0.26
    • Adam JemalFxG 0.44 · xT 0.17
    • Mattias MitkuFxG 0.27 · xT 0.15

    Match prediction: JärfällaKarlberg

    Predicted score matrix

    Karlberg
    Järfälla
    0
    1
    2
    3
    4+
    0
    0–03.4%
    0–15.8%
    0–25.8%
    0–33.7%
    0–4+2.8%
    1
    1–04.6%
    1–19.6%
    1–28.9%
    1–35.7%
    1–4+4.3%
    2
    2–03.7%
    2–17.1%
    2–26.9%
    2–34.4%
    2–4+3.3%
    3
    3–01.9%
    3–13.7%
    3–23.5%
    3–32.3%
    3–4+1.7%
    4+
    4+–01.0%
    4+–12.0%
    4+–21.9%
    4+–31.2%
    4+–4+0.9%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.2-27%
    5. 5.0-26%
    Expected goals
    1,541,92
    Both teams to score
    67%

    Over/under goals

    Expected goals: 3,5
    Under 2,533%
    @2.35
    Over 2,567%
    @1.52EV+2%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Karlberg or draw (X2)69%
    • Over 1.5 goals86%

    Combined probability

    60%

    Fair odds

    1.66

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

    02 · 3 legs

    Balanced

    • Double chance Karlberg or draw (X2)69%
    • Over 2.5 goals67%
    • Adam Jemal to score32%

    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 score67%
    • Over 2.5 goals67%
    • Abdulmannan Khalil to score35%
    • Adrian Hamidi 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Järfälla33% probability@3.25BetsafeEV+6%reference odds
    • 1 · Järfälla33% probability@3.25BetssonEV+6%reference odds
    • 1 · Järfälla33% probability@3.25NordicbetEV+6%reference odds
    Bookmaker1 · JärfällaX2 · Karlberg
    Betsafe
    EV+ 6%
    3.25
    3.551.95
    Betsson
    EV+ 6%
    3.25
    3.551.95
    Nordicbet
    EV+ 6%
    3.25
    3.551.95

    Odds updated 17 Sept, 04:36

    Odds movement

    1+10 %
    31 %26 %

    2.953.25

    X0 %
    28 %23 %

    3.553.55

    2-5 %
    49 %44 %

    2.051.95

    Betsson · 11 recorded price levels · 12/09/2026 → 17/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Järfälla 1Draw 0Karlberg 0
    Goals: 31 (⌀ 4)

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

    Key facts

    • FC Järfälla have lost 7 in a row.
    xG & xGA per match — 3-game rolling average

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

    Järfälla
    Karlberg
    When goals are scored and conceded 2026
    Järfälla (2447)
    Karlberg (2931)
    Pass networks

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

    Järfälla
    Yosef Aksoy: 263 passningar, xT 0.5AksoyKenan Nisic: 258 passningar, xT 0.89NisicAnthony Portilla: 213 passningar, xT 0.1PortillaPeter Saweris: 172 passningar, xT 0.09SawerisNathnael Medhin T: 157 passningar, xT 0.17TOscar Möller: 146 passningar, xT 0.16MöllerAdrian Hamidi: 138 passningar, xT 0.15HamidiCedrik Freado Danha: 118 passningar, xT 0.42DanhaAdhavan Rajamohan: 96 passningar, xT 0.45RajamohanNaramsin Akdemir: 85 passningar, xT 0.27AkdemirDjoseph Bangala: 78 passningar, xT 0.14Bangala
    Karlberg
    Filip Nieminen Eriksson: 237 passningar, xT 0.46ErikssonLukas Sietsema: 204 passningar, xT 0.98SietsemaAbiel Sequar: 196 passningar, xT 0.49SequarAdam Backman: 193 passningar, xT 0.26BackmanHugo Åslund: 190 passningar, xT 0.28ÅslundFelix Högberg: 183 passningar, xT 0.22HögbergMattias Mitku: 141 passningar, xT 0.6MitkuArgyrios Gkoulios: 125 passningar, xT 0.29GkouliosAladji Fati: 117 passningar, xT 0.01FatiNoah Tesfai Negash: 108 passningar, xT 0.23NegashMilan Lalic: 97 passningar, xT 0.76Lalic
    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: 263 passningar, xT 0.5AksoyKenan Nisic: 258 passningar, xT 0.89NisicAnthony Portilla: 213 passningar, xT 0.1PortillaPeter Saweris: 172 passningar, xT 0.09SawerisNathnael Medhin T: 157 passningar, xT 0.17TOscar Möller: 146 passningar, xT 0.16MöllerAdrian Hamidi: 138 passningar, xT 0.15HamidiCedrik Freado Danha: 118 passningar, xT 0.42DanhaAdhavan Rajamohan: 96 passningar, xT 0.45RajamohanNaramsin Akdemir: 85 passningar, xT 0.27AkdemirDjoseph Bangala: 78 passningar, xT 0.14Bangala
    Karlberg
    Filip Nieminen Eriksson: 237 passningar, xT 0.46ErikssonLukas Sietsema: 204 passningar, xT 0.98SietsemaAbiel Sequar: 196 passningar, xT 0.49SequarAdam Backman: 193 passningar, xT 0.26BackmanHugo Åslund: 190 passningar, xT 0.28ÅslundFelix Högberg: 183 passningar, xT 0.22HögbergMattias Mitku: 141 passningar, xT 0.6MitkuArgyrios Gkoulios: 125 passningar, xT 0.29GkouliosAladji Fati: 117 passningar, xT 0.01FatiNoah Tesfai Negash: 108 passningar, xT 0.23NegashMilan Lalic: 97 passningar, xT 0.76Lalic

    The teams in numbers

    PerformanceJärfällaKarlberg
    Points1528
    xPoints23.431.4
    xG per match1.21.5
    xGA per match1.81.4
    xG within 8s of winning the ball0.250.22
    xGA within 8s of losing the ball0.350.37
    Playing styleJärfällaKarlberg
    Build-up efficiency0.320.35
    Field tilt0.370.48
    xT per match1.21.4
    xTA per match1.61.5
    Won balls, offensive half2128
    Pressing intensity0.450.53
    Pressing efficiency0.220.23
    Pressing efficiency, offensive half0.220.24
    Entries into the box per match1013
    Entries into the box against1714
    Pass completion %0.820.82
    Pass completion % under pressure0.780.77
    Passes per match391374
    Passes against per match391375
    Switches of play per match15.913
    Long balls per match3027
    Set piecesJärfällaKarlberg
    xG from free kicks0.20.21
    Corners per match3.94.4
    Corners against per match54.3
    xG per corner0.030.03
    xGA per corner against0.030.01
    First touch, offensive corners %0.350.44
    First touch, defensive corners %0.490.66
    OtherJärfällaKarlberg
    Throw-in control0.570.6
    The goalkeepersErik von Feilitzen (Järfälla)Argyrios Gkoulios (Karlberg)
    Saves6159
    Save %66%73%
    xG prevented45%52%
    Claims69 (91%)76 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Järfälla vs Karlberg according to our model?

    The model gives Karlberg a 45% win probability. Full 1X2 picture: Järfälla 33%, draw 23%, Karlberg 45%.

    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 67% and under at 33%.

    Will both teams score?

    The probability of both teams scoring is 67% 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.