Swedish AllsvenskanGuldfågeln Arena, Kalmar15°30 km/h

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    Kalmar FFKalmar FFPossession control
    vs
    DjurgårdenDjurgårdenPossession & high press
    The model's lean: 2 · Djurgården (51%)Best value by the model: 1 · Kalmar FF @ 4.27 (+6 %)

    Kalmar FFDjurgården · Swedish Allsvenskan

    1 · Kalmar FF 25%X 24%51% Djurgården · 2

    Analysis: Kalmar FFDjurgården

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

    The numerical landscape is clear: Djurgården enters the fray as the stronger side both statistically and tactically. A glance at the expected goals reveals a compelling picture: 1.80 for the visitors against Kalmar's 1.24. The model leans heavily towards Djurgården, assigning them a 51% chance of victory. In contrast, Kalmar is pegged at a modest 25%, with the draw sitting at 24%. This is a clash where the visitors’ high press meets the hosts’ possession control, likely dictating the game's tempo and flow.

    Despite Kalmar's ability to hold possession, Djurgården's more aggressive pressing style tends to break such structures down, often leading to high-scoring affairs. The historical data since 2023, albeit a small sample of five games, shows a balanced head-to-head record (2 wins each and 1 draw) but leans less heavily in analysis than current form and expected goals. Indeed, the average of 3.4 goals per match in this fixture suggests an openness that favors Djurgården's approach.

    The over 2.5 goals market is an enticing angle here, with a 59% probability supporting it. Meanwhile, both teams scoring sits at 60%, indicating that while Kalmar might struggle to dominate, they are still likely to find the net. Most probable scorelines like 1-1 (11%) and 1-2 (10%) underscore the likelihood of an engaging contest, yet with Djurgården having the edge.

    Value hunters have a clear path: the home victory at odds of 4.82 with Betsafe, Betsson, and Nordicbet. This presents a 20% edge, despite Kalmar's underdog status. While the model clearly favors Djurgården on balance, this betting value cannot be ignored, offering a calculated risk for those backing the unexpected.

    Kalmar FFKalmar FF
    Form DLLDL
    League ranking xG #10xGA #7xT #6xP/match #9Points #13
    Key players
    • Anthony OlusanyaFxG 0.37 · xT -0.03
    • Charles Sagoe JrLWxG 0.18 · xT 0.26
    • Marius SöderbäckFxG 0.13 · xT 0.11
    DjurgårdenDjurgården
    Form WLLWW
    League ranking xG #2xGA #2xT #4xP/match #3Points #3
    Key players
    • Bo HeglandFxG 0.34 · xT 0.31
    • Max LarssonLWxG 0.07 · xT 0.24
    • Kristian LienFxG 0.65 · xT 0.05

    Match prediction: Kalmar FFDjurgården

    Predicted score matrix

    Djurgården
    Kalmar FF
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–18.3%
    0–27.7%
    0–34.6%
    0–4+3.1%
    1
    1–05.6%
    1–111.0%
    1–29.6%
    1–35.8%
    1–4+3.9%
    2
    2–03.7%
    2–16.6%
    2–26.0%
    2–33.6%
    2–4+2.4%
    3
    3–01.5%
    3–12.8%
    3–22.5%
    3–31.5%
    3–4+1.0%
    4+
    4+–00.6%
    4+–11.1%
    4+–21.0%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-210%
    3. 3.0-18%
    4. 4.0-28%
    5. 5.2-17%
    Expected goals
    1,241,80
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.19
    Over 2,559%
    @1.68

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Djurgården to win51%
    • Over 1.5 goals81%

    Combined probability

    42%

    Fair odds

    2.40

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

    02 · 3 legs

    Balanced

    • Djurgården to win51%
    • Over 2.5 goals59%
    • Kristian Lien to score30%

    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 goals59%
    • Kristian Lien to score30%
    • Robert Gojani to be booked24%

    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 · Kalmar FF25% probability@4.27BetsafeEV+6%reference odds
    • 1 · Kalmar FF25% probability@4.27BetssonEV+6%reference odds
    • 1 · Kalmar FF25% probability@4.27NordicbetEV+6%reference odds
    Bookmaker1 · Kalmar FFX2 · Djurgården
    Betfair Exchange1.101.101.10
    Betsafe
    EV+ 6%
    4.27
    3.731.82
    Betsson
    EV+ 6%
    4.27
    3.731.82
    Nordicbet
    EV+ 6%
    4.27
    3.731.82
    Pinnacle
    EV+ 3%
    4.13
    3.841.78

    Odds updated 6 Sept, 05:12

    Odds movement

    1+1 %
    25 %20 %

    4.074.13

    X+1 %
    27 %22 %

    3.823.84

    2-1 %
    55 %50 %

    1.801.78

    Over 2,50 %
    59 %54 %

    1.681.68

    Pinnacle · 3 recorded price levels · 04/09/2026 → 06/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Kalmar FF 2Draw 1Djurgården 2
    Goals: 89 (⌀ 3,4)

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

    Key facts

    • A high-scoring fixture: 3.4 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Kalmar FF
    Djurgården
    When goals are scored and conceded 2026
    Kalmar FF (2129)
    Djurgården (4119)
    Pass networks

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

    Kalmar FF
    Lars Sætra: 276 passningar, xT 0.28SætraRobert Gojani: 241 passningar, xT 0.58GojaniAlexander Almqvist: 226 passningar, xT 0.15AlmqvistSivert Engh Øverby: 207 passningar, xT 0.79ØverbyMelker Hallberg: 153 passningar, xT 0.72HallbergVictor Larsson: 138 passningar, xT 0.88LarssonCharles Sagoe Jr: 134 passningar, xT 0.81JrNassef Chourak: 123 passningar, xT 0.5ChourakCharlie Rosenqvist: 92 passningar, xT 0RosenqvistSamuel Brolin: 83 passningar, xT 0.14BrolinMarius Söderbäck: 74 passningar, xT 0.11Söderbäck
    Djurgården
    Jacob Une: 334 passningar, xT 0.05UneMatias Siltanen: 286 passningar, xT 0.53SiltanenMiro Tenho: 241 passningar, xT 0.09TenhoBo Hegland: 197 passningar, xT 1.95HeglandAdam Ståhl: 193 passningar, xT 0.18StåhlPiotr Johansson: 183 passningar, xT 0.35JohanssonMax Larsson: 179 passningar, xT 0.96LarssonJacob Rinne: 153 passningar, xT 0.63RinnePatric Åslund: 136 passningar, xT 0.76ÅslundHampus Finndell: 112 passningar, xT 0.26FinndellDaniel Stensson: 108 passningar, xT -0.06Stensson
    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.

    Kalmar FF
    Lars Sætra: 276 passningar, xT 0.28SætraRobert Gojani: 241 passningar, xT 0.58GojaniAlexander Almqvist: 226 passningar, xT 0.15AlmqvistSivert Engh Øverby: 207 passningar, xT 0.79ØverbyMelker Hallberg: 153 passningar, xT 0.72HallbergVictor Larsson: 138 passningar, xT 0.88LarssonCharles Sagoe Jr: 134 passningar, xT 0.81JrNassef Chourak: 123 passningar, xT 0.5ChourakCharlie Rosenqvist: 92 passningar, xT 0RosenqvistSamuel Brolin: 83 passningar, xT 0.14BrolinMarius Söderbäck: 74 passningar, xT 0.11Söderbäck
    Djurgården
    Jacob Une: 334 passningar, xT 0.05UneMatias Siltanen: 286 passningar, xT 0.53SiltanenMiro Tenho: 241 passningar, xT 0.09TenhoBo Hegland: 197 passningar, xT 1.95HeglandAdam Ståhl: 193 passningar, xT 0.18StåhlPiotr Johansson: 183 passningar, xT 0.35JohanssonMax Larsson: 179 passningar, xT 0.96LarssonJacob Rinne: 153 passningar, xT 0.63RinnePatric Åslund: 136 passningar, xT 0.76ÅslundHampus Finndell: 112 passningar, xT 0.26FinndellDaniel Stensson: 108 passningar, xT -0.06Stensson

    The teams in numbers

    PerformanceKalmar FFDjurgården
    Points1932
    xPoints25.731.7
    xG per match1.22
    xGA per match1.31.1
    xG within 8s of winning the ball0.250.44
    xGA within 8s of losing the ball0.230.15
    Playing styleKalmar FFDjurgården
    Build-up efficiency0.310.37
    Field tilt0.470.6
    xT per match1.41.5
    xTA per match1.11.3
    Won balls, offensive half3133
    Pressing intensity0.520.51
    Pressing efficiency0.220.26
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1617
    Entries into the box against1412
    Pass completion %0.820.83
    Pass completion % under pressure0.770.78
    Passes per match397455
    Passes against per match451328
    Switches of play per match14.116.8
    Long balls per match2930
    Set piecesKalmar FFDjurgården
    xG from free kicks0.110.17
    Corners per match4.96.9
    Corners against per match5.73.9
    xG per corner0.030.03
    xGA per corner against0.020.01
    First touch, offensive corners %0.410.42
    First touch, defensive corners %0.590.63
    OtherKalmar FFDjurgården
    Throw-in control0.620.63
    The goalkeepersSamuel Brolin (Kalmar FF)Jacob Rinne (Djurgården)
    Saves4756
    Save %73%77%
    xG prevented56%53%
    Claims70 (88%)76 (91%)

    Frequently asked questions

    Who wins Kalmar FF vs Djurgården according to our model?

    The model gives Djurgården a 51% win probability. Full 1X2 picture: Kalmar FF 25%, draw 24%, Djurgården 51%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    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.