Swedish AllsvenskanStrandvallen, Sölvesborg11°0,6 mm14 km/h

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    MjällbyMjällbyPossession control
    vs
    DegerforsDegerforsBalanced & physical
    The model's lean: 1 · Mjällby (50%)Best value by the model: Over 3,5 @ 3.05 (+4 %)

    Mjällby vs Degerfors · Swedish Allsvenskan

    1 · Mjällby 50%X 25%25% Degerfors · 2

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    Analysis: Mjällby – Degerfors

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

    TEXT: Mjällby's dominance in this fixture is undeniable, having won all five matches against Degerfors in their recent encounters. This pattern sets the stage for a clash where the hosts are favored to continue their winning streak. Despite their historical supremacy, the underlying numbers suggest this may not be as straightforward as past results imply.

    The model leans towards a Mjällby victory, with a 50% probability and expected goals of 1.78 against Degerfors' 1.17. However, the most likely scoreline of 1-1 at 11% hints at a close contest. Mjällby holds a slight advantage in points, but Degerfors edges them in expected points, underscoring a potential for an upset. The visitors' physical and balanced style might disrupt Mjällby's possession control strategy, especially in rainy conditions expected to dampen the goal count.

    Despite the high-scoring history between these teams, the 56% chance of over 2.5 goals leaves room for skepticism. Degerfors' marginally superior xGA at 1.6 compared to Mjällby's 1.8 suggests they may be more resilient defensively. This defensive edge, combined with the weather, could suppress the expected offensive fireworks, making the outcome less predictable.

    The market's inclination towards both teams scoring at 58% aligns with a tight, competitive match. Yet, with Mjällby's historical edge and superior xG per match at 1.2 versus Degerfors' 0.9, the hosts have the upper hand. The 2-1 scoreline at 10% probability captures this nuanced balance, reflecting a likely but hard-fought Mjällby triumph.

    For bettors, the value lies in Mjällby securing the win, given their past record against Degerfors and the model's lean in their favor.

    MjällbyMjällby
    Form LLDDL
    League ranking xG #11xGA #14xT #9xP/match #15Points #12
    Key players
    • Abdoulie MannehFxG 0.30 · xT 0.07
    • Elliot StroudCAMxG 0.14 · xT 0.49
    • Jacob BergströmFxG 0.27 · xT -0.01
    DegerforsDegerfors
    Form LLWLL
    League ranking xG #16xGA #11xT #11xP/match #14Points #14
    Key players
    • Dijan VukojevicFxG 0.23 · xT 0.20
    • Nahom Girmai NetabayRWxG 0.07 · xT 0.33
    • Daniel SundgrenRWxG 0.03 · xT 0.25

    Match prediction: Mjällby – Degerfors

    Predicted score matrix

    Degerfors →
    Mjällby →
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–15.8%
    0–23.6%
    0–31.4%
    0–4+0.5%
    1
    1–09.0%
    1–111.2%
    1–26.4%
    1–32.5%
    1–4+0.9%
    2
    2–08.3%
    2–19.7%
    2–25.7%
    2–32.2%
    2–4+0.8%
    3
    3–04.9%
    3–15.8%
    3–23.4%
    3–31.3%
    3–4+0.5%
    4+
    4+–03.3%
    4+–13.8%
    4+–22.2%
    4+–30.9%
    4+–4+0.3%
    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. 5.1-26%
    Expected goals
    1,78–1,17
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @1.98
    Over 2,556%
    @1.82EV+3%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Mjällby to win50%
    • Over 1.5 goals80%

    Combined probability

    42%

    Fair odds

    2.36

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

    02 · 3 legs

    Balanced

    • Mjällby to win50%
    • Over 2.5 goals56%
    • Jacob Bergström to score31%

    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 score58%
    • Over 2.5 goals56%
    • Jacob Bergström to score31%
    • Bilal Hussein to be booked22%

    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+).

    • Over 3.534% probability@3.05BetsafeEV+4%reference odds
    • Over 3.534% probability@3.05NordicbetEV+4%reference odds
    • Over 4.518% probability@5.90BetsafeEV+4%reference odds
    Bookmaker1 · MjällbyX2 · Degerfors
    Betsafe1.913.643.96
    LeoVegas1.953.603.70
    Nordicbet1.913.643.96

    Odds updated 3 Oct, 17:36

    Odds movement

    10 %
    51 %46 %

    1.95 → 1.95

    X+1 %
    29 %24 %

    3.55 → 3.60

    20 %
    28 %23 %

    3.70 → 3.70

    Over 2,5+2 %
    55 %50 %

    1.77 → 1.80

    LeoVegas · 2 recorded price levels · 02/10/2026 → 03/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Mjällby 5Draw 0Degerfors 0
    Goals: 13–3 (⌀ 3,2)

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

    Key facts

    • Mjällby AIF dominate this fixture historically: 5 wins to 0 in 5 meetings.
    • A high-scoring fixture: 3.2 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Mjällby
    Degerfors
    When goals are scored and conceded — 2026
    Mjällby (27–38)
    Degerfors (19–34)
    Pass networks

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

    Mjällby
    Abdullah Iqbal: 256 passningar, xT 0.38IqbalAxel Norén: 197 passningar, xT 0.38NorénJesper Gustavsson: 185 passningar, xT 0.45GustavssonMads Enggård: 142 passningar, xT 0.39EnggårdVilliam Granath: 125 passningar, xT 0.15GranathTom Pettersson: 107 passningar, xT 0.15PetterssonViktor Gustafson: 98 passningar, xT 0.54GustafsonTony Miettinen: 97 passningar, xT 0.35MiettinenMax Nielsen: 72 passningar, xT 0.11NielsenJacob Bergström: 71 passningar, xT 0.06BergströmJeppe Kjaer Jensen: 65 passningar, xT 0.68Jensen
    Degerfors
    Nikolai Skuseth: 279 passningar, xT 0.02SkusethBilal Hussein: 272 passningar, xT 0.22HusseinAhmad Faqa: 254 passningar, xT 0.45FaqaDaniel Sundgren: 240 passningar, xT 0.99SundgrenCR Sebastian Ohlsson: 184 passningar, xT 0.54OhlssonDijan Vukojevic: 113 passningar, xT 0.68VukojevicNahom Girmai Netabay: 107 passningar, xT 0.95NetabayMatvei Igonen: 87 passningar, xT 0.13IgonenYiriyon Gideon Yaw: 87 passningar, xT 0.02YawRobin Dzabic: 83 passningar, xT 0.12DzabicSamba Diatara: 69 passningar, xT 0.36Diatara
    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.

    Mjällby
    Abdullah Iqbal: 256 passningar, xT 0.38IqbalAxel Norén: 197 passningar, xT 0.38NorénJesper Gustavsson: 185 passningar, xT 0.45GustavssonMads Enggård: 142 passningar, xT 0.39EnggårdVilliam Granath: 125 passningar, xT 0.15GranathTom Pettersson: 107 passningar, xT 0.15PetterssonViktor Gustafson: 98 passningar, xT 0.54GustafsonTony Miettinen: 97 passningar, xT 0.35MiettinenMax Nielsen: 72 passningar, xT 0.11NielsenJacob Bergström: 71 passningar, xT 0.06BergströmJeppe Kjaer Jensen: 65 passningar, xT 0.68Jensen
    Degerfors
    Nikolai Skuseth: 279 passningar, xT 0.02SkusethBilal Hussein: 272 passningar, xT 0.22HusseinAhmad Faqa: 254 passningar, xT 0.45FaqaDaniel Sundgren: 240 passningar, xT 0.99SundgrenCR Sebastian Ohlsson: 184 passningar, xT 0.54OhlssonDijan Vukojevic: 113 passningar, xT 0.68VukojevicNahom Girmai Netabay: 107 passningar, xT 0.95NetabayMatvei Igonen: 87 passningar, xT 0.13IgonenYiriyon Gideon Yaw: 87 passningar, xT 0.02YawRobin Dzabic: 83 passningar, xT 0.12DzabicSamba Diatara: 69 passningar, xT 0.36Diatara

    The teams in numbers

    PerformanceMjällbyDegerfors
    Points2219
    xPoints22.322.5
    xG per match1.20.9
    xGA per match1.81.6
    xG within 8s of winning the ball0.20.22
    xGA within 8s of losing the ball0.430.34
    Playing styleMjällbyDegerfors
    Build-up efficiency0.310.35
    Field tilt0.50.44
    xT per match1.41.4
    xTA per match1.41.4
    Won balls, offensive half3332
    Pressing intensity0.560.48
    Pressing efficiency0.230.24
    Pressing efficiency, offensive half0.240.26
    Entries into the box per match1411
    Entries into the box against1514
    Pass completion %0.80.79
    Pass completion % under pressure0.770.75
    Passes per match402359
    Passes against per match398422
    Switches of play per match17.414
    Long balls per match3128
    Set piecesMjällbyDegerfors
    xG from free kicks0.250.1
    Corners per match4.84.7
    Corners against per match4.65.3
    xG per corner0.030.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.380.26
    First touch, defensive corners %0.540.63
    OtherMjällbyDegerfors
    Throw-in control0.570.55
    The goalkeepersRobin Wallinder (Mjällby)Matvei Igonen (Degerfors)
    Saves7186
    Save %69%72%
    xG prevented47%44%
    Claims112 (89%)105 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Mjällby vs Degerfors according to our model?

    The model gives Mjällby a 50% win probability. Full 1X2 picture: Mjällby 50%, draw 25%, Degerfors 25%.

    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 56% and under at 44%.

    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.