Swedish Allsvenskan3Arena, Stockholm18°2,4 mm16 km/h

    Läs på svenska
    DjurgårdenDjurgårdenPossession & high press
    vs
    MjällbyMjällbyPossession control
    The model's lean: 1 · Djurgården (49%)Best value by the model: 2 · Mjällby @ 5.49 (+47 %)

    DjurgårdenMjällby · Swedish Allsvenskan

    1 · Djurgården 49%X 24%27% Mjällby · 2

    Analysis: DjurgårdenMjällby

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

    TEXT: Djurgården's recent strength against Mjällby is indisputable, having secured three wins and two draws in their last six encounters since 2023. Despite the small sample, the historical edge aligns with their current form, where they lead on both points and expected points—26 to 20 and 26.9 to 17.6, respectively. The hosts' approach, characterized by possession and a high press, should allow them to impose their game plan, especially given Mjällby's more conservative possession control style.

    The expected goals model also tilts the balance in Djurgården's favor, projecting 1.75 expected goals for them versus 1.22 for the visitors. This suggests a tighter match than the raw probabilities indicate, but still gives the hosts an edge. The most likely scorelines of 1-1, 2-1, and 1-0 reflect a competitive fixture, yet one where Djurgården's superior xG potential might just see them edge ahead.

    In terms of goals, the over 2.5 goals probability sits at 57%, indicating a slight lean towards a match with three or more goals. Djurgården's ability to create chances is evident in their average of 1.9 xG per game, significantly higher than Mjällby's 1.3. However, the high likelihood of both teams scoring at 59% suggests that while Djurgården are favorites, Mjällby will have their moments.

    The most likely outcome appears to be a narrow victory for Djurgården, perhaps a 2-1 win that reflects their edge both in form and scoring potential. The model gives Djurgården a 49% win probability, the highest of the three outcomes, aligning with both the form guide and xG analysis.

    DjurgårdenDjurgården
    Form DWWLL
    League ranking xG #3xGA #5xT #4xP/match #3Points #6
    Key players
    • Bo HeglandFxG 0.36 · xT 0.29
    • Max LarssonLWxG 0.07 · xT 0.24
    • Kristian LienFxG 0.57 · xT 0.05
    MjällbyMjällby
    Form LDLLW
    League ranking xG #9xGA #14xT #6xP/match #13Points #11
    Key players
    • Abdoulie MannehFxG 0.30 · xT 0.07
    • Elliot StroudCAMxG 0.14 · xT 0.49
    • Jacob BergströmFxG 0.31 · xT -0.02

    Match prediction: DjurgårdenMjällby

    Predicted score matrix

    Mjällby
    Djurgården
    0
    1
    2
    3
    4+
    0
    0–05.5%
    0–16.0%
    0–23.8%
    0–31.6%
    0–4+0.6%
    1
    1–08.6%
    1–111.3%
    1–26.7%
    1–32.7%
    1–4+1.1%
    2
    2–07.8%
    2–19.6%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.6%
    3–15.6%
    3–23.4%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.9%
    4+–13.6%
    4+–22.2%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,751,22
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.38EV+2%
    Over 2,557%
    @1.55

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Djurgården to win49%
    • Over 1.5 goals80%

    Combined probability

    41%

    Fair odds

    2.46

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

    02 · 3 legs

    Balanced

    • Djurgården to win49%
    • Over 2.5 goals57%
    • Kristian Lien to score35%

    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 score59%
    • Over 2.5 goals57%
    • Kristian Lien to score35%
    • Viktor Gustafson to be booked25%

    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+).

    • 2 · Mjällby27% probability@5.49BetsafeEV+47%reference odds
    • 2 · Mjällby27% probability@5.49BetssonEV+47%reference odds
    • 2 · Mjällby27% probability@5.49NordicbetEV+47%reference odds
    Bookmaker1 · DjurgårdenX2 · Mjällby
    Betsafe1.58
    EV+ 2%
    4.23
    EV+ 47%
    5.49
    Betsson1.58
    EV+ 2%
    4.23
    EV+ 47%
    5.49
    Nordicbet1.58
    EV+ 2%
    4.23
    EV+ 47%
    5.49
    Pinnacle1.51
    EV+ 13%
    4.69
    EV+ 38%
    5.16

    Odds updated 27 Aug, 08:37

    Odds movement

    10 %
    64 %59 %

    1.521.51

    X-1 %
    22 %17 %

    4.754.69

    2+2 %
    21 %16 %

    5.085.16

    Pinnacle · 3 recorded price levels · 25/08/2026 → 26/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Djurgården 3Draw 2Mjällby 1
    Goals: 96 (⌀ 2,5)

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

    Key facts

    • Djurgården dominate this fixture historically: 3 wins to 1 in 6 meetings.
    xG & xGA per match — 3-game rolling average

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

    Djurgården
    Mjällby
    When goals are scored and conceded 2026
    Djurgården (3419)
    Mjällby (2423)
    Pass networks

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

    Djurgården
    Jacob Une: 336 passningar, xT 0.29UneMatias Siltanen: 290 passningar, xT 0.45SiltanenMax Larsson: 224 passningar, xT 1.09LarssonMiro Tenho: 217 passningar, xT 0.21TenhoHampus Finndell: 183 passningar, xT 0.28FinndellAdam Ståhl: 171 passningar, xT 0.21StåhlBo Hegland: 159 passningar, xT 1.55HeglandJacob Rinne: 152 passningar, xT 0.61RinnePatric Åslund: 116 passningar, xT 0.42ÅslundPiotr Johansson: 98 passningar, xT 0.08JohanssonOskar Fallenius: 88 passningar, xT -0.05Fallenius
    Mjällby
    Axel Norén: 236 passningar, xT 0.62NorénTony Miettinen: 204 passningar, xT 0.2MiettinenAbdullah Iqbal: 203 passningar, xT 0.63IqbalJesper Gustavsson: 184 passningar, xT 0.3GustavssonÁki Samuelsen: 155 passningar, xT 1.18SamuelsenViktor Gustafson: 110 passningar, xT 0.16GustafsonJeppe Kjaer Jensen: 108 passningar, xT 0.75JensenTom Pettersson: 106 passningar, xT 0.21PetterssonLudvig Svanberg: 96 passningar, xT 0.1SvanbergRobin Wallinder: 93 passningar, xT 0.15WallinderVilliam Granath: 80 passningar, xT 0.08Granath
    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.

    Djurgården
    Jacob Une: 336 passningar, xT 0.29UneMatias Siltanen: 290 passningar, xT 0.45SiltanenMax Larsson: 224 passningar, xT 1.09LarssonMiro Tenho: 217 passningar, xT 0.21TenhoHampus Finndell: 183 passningar, xT 0.28FinndellAdam Ståhl: 171 passningar, xT 0.21StåhlBo Hegland: 159 passningar, xT 1.55HeglandJacob Rinne: 152 passningar, xT 0.61RinnePatric Åslund: 116 passningar, xT 0.42ÅslundPiotr Johansson: 98 passningar, xT 0.08JohanssonOskar Fallenius: 88 passningar, xT -0.05Fallenius
    Mjällby
    Axel Norén: 236 passningar, xT 0.62NorénTony Miettinen: 204 passningar, xT 0.2MiettinenAbdullah Iqbal: 203 passningar, xT 0.63IqbalJesper Gustavsson: 184 passningar, xT 0.3GustavssonÁki Samuelsen: 155 passningar, xT 1.18SamuelsenViktor Gustafson: 110 passningar, xT 0.16GustafsonJeppe Kjaer Jensen: 108 passningar, xT 0.75JensenTom Pettersson: 106 passningar, xT 0.21PetterssonLudvig Svanberg: 96 passningar, xT 0.1SvanbergRobin Wallinder: 93 passningar, xT 0.15WallinderVilliam Granath: 80 passningar, xT 0.08Granath

    The teams in numbers

    PerformanceDjurgårdenMjällby
    Points2620
    xPoints26.917.6
    xG per match1.91.3
    xGA per match1.11.6
    xG within 8s of winning the ball0.420.25
    xGA within 8s of losing the ball0.160.45
    Playing styleDjurgårdenMjällby
    Build-up efficiency0.370.31
    Field tilt0.60.54
    xT per match1.61.4
    xTA per match1.41.4
    Won balls, offensive half3334
    Pressing intensity0.520.54
    Pressing efficiency0.260.25
    Pressing efficiency, offensive half0.270.26
    Entries into the box per match1715
    Entries into the box against1214
    Pass completion %0.830.81
    Pass completion % under pressure0.780.77
    Passes per match444424
    Passes against per match322360
    Switches of play per match16.717.6
    Long balls per match2932
    Set piecesDjurgårdenMjällby
    xG from free kicks0.170.21
    Corners per match75
    Corners against per match4.14.3
    xG per corner0.030.02
    xGA per corner against0.010.03
    First touch, offensive corners %0.390.39
    First touch, defensive corners %0.620.55
    OtherDjurgårdenMjällby
    Throw-in control0.650.57
    The goalkeepersJacob Rinne (Djurgården)Robin Wallinder (Mjällby)
    Saves5054
    Save %75%70%
    xG prevented51%45%
    Claims69 (91%)91 (91%)

    Frequently asked questions

    Who wins Djurgården vs Mjällby according to our model?

    The model gives Djurgården a 49% win probability. Full 1X2 picture: Djurgården 49%, draw 24%, Mjällby 27%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.