Swedish AllsvenskanStrandvallen, Sölvesborg14°7,8 mm33 km/h

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    MjällbyMjällbyPossession control
    vs
    GAISGAISPossession & high press
    The model's lean: 1 · Mjällby (38%)Soft draw

    Mjällby vs GAIS · Swedish Allsvenskan

    1 · Mjällby 38%X 25%38% GAIS · 2

    Analysis: MjällbyGAIS

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

    TEXT: Both Mjällby and GAIS are pegged at a 38% chance of winning, yet the hosts hold a slight model lean. This tension signals balance, but the tactical clash could break it. Mjällby relies on controlling possession, while GAIS thrives on a high press. The visitors lead the table in points and expected points, showcasing sharper execution and efficiency. Mjällby will need to exploit every inch of their possession as they face a GAIS side adept at suppressing goal chances, highlighted by their lower xGA.

    The historical head-to-head is a wash, with a small sample of five games yielding one win apiece and three draws. Mjällby's challenge is underscored by their inferior xG per match (1.2) compared to GAIS's 1.6. The expected goals suggest a tight affair, with a slight tilt towards over 2.5 goals despite the weather: the forecasted 7.8 mm of rain could still muddle passing lanes and slow transitions.

    However, there's a betting angle here. Mjällby is valued at odds of 2.72 with Betsafe, Betsson, and Nordicbet, offering a 2% edge according to the model. Given the model's lean and the home advantage, this market value deserves a closer look for those keen on finding a positive EV play.

    MjällbyMjällby
    Form LLLDD
    League ranking xG #11xGA #14xT #8xP/match #15Points #12
    Key players
    • Abdoulie MannehFxG 0.30 · xT 0.07
    • Elliot StroudCAMxG 0.14 · xT 0.49
    • Jacob BergströmFxG 0.28 · xT -0.01
    GAISGAIS
    Form LLWDL
    League ranking xG #4xGA #5xT #2xP/match #4Points #10
    Key players
    • Róbert Frosti ÞorkelssonLWxG 0.30 · xT 0.25
    • Samuel SalterFxG 0.51 · xT 0.05
    • Rasmus Niklasson PetrovicLWxG 0.29 · xT 0.20

    Match prediction: MjällbyGAIS

    Predicted score matrix

    GAIS
    Mjällby
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–18.0%
    0–25.6%
    0–32.5%
    0–4+1.1%
    1
    1–08.6%
    1–112.3%
    1–28.0%
    1–33.6%
    1–4+1.6%
    2
    2–06.4%
    2–18.6%
    2–25.8%
    2–32.6%
    2–4+1.2%
    3
    3–03.1%
    3–14.1%
    3–22.8%
    3–31.2%
    3–4+0.6%
    4+
    4+–01.5%
    4+–12.0%
    4+–21.4%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.1-28%
    5. 5.0-18%
    Expected goals
    1,441,34
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.13EV+1%
    Over 2,553%
    @1.72

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Mjällby or draw (1X)65%
    • Over 1.5 goals77%

    Combined probability

    50%

    Fair odds

    2.00

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

    02 · 3 legs

    Balanced

    • Double chance Mjällby or draw (1X)65%
    • Over 2.5 goals53%
    • Jacob Bergström to score25%

    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 score57%
    • Over 2.5 goals53%
    • Jacob Bergström to score25%
    • Jesper Gustavsson 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 · Mjällby38% probability@2.72BetsafeEV+2%reference odds
    • 1 · Mjällby38% probability@2.72BetssonEV+2%reference odds
    • 1 · Mjällby38% probability@2.72NordicbetEV+2%reference odds
    Bookmaker1 · MjällbyX2 · GAIS
    Betfair Exchange1.591.571.12
    Betsafe
    EV+ 2%
    2.72
    3.472.52
    Betsson
    EV+ 2%
    2.72
    3.472.52
    Nordicbet
    EV+ 2%
    2.72
    3.472.52
    Pinnacle
    EV+ 1%
    2.70
    3.572.45

    Odds updated 19 Sept, 14:37

    Odds movement

    10 %
    37 %32 %

    2.702.70

    X0 %
    29 %24 %

    3.573.57

    20 %
    41 %36 %

    2.452.45

    Over 2,50 %
    58 %53 %

    1.711.72

    Pinnacle · 2 recorded price levels · 17/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Mjällby 1Draw 3GAIS 1
    Goals: 54 (⌀ 1,8)

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

    xG & xGA per match — 3-game rolling average

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

    Mjällby
    GAIS
    When goals are scored and conceded 2026
    Mjällby (2735)
    GAIS (2520)
    Pass networks

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

    Mjällby
    Axel Norén: 190 passningar, xT 0.35NorénAbdullah Iqbal: 189 passningar, xT 0.38IqbalMads Enggård: 172 passningar, xT 0.71EnggårdJesper Gustavsson: 170 passningar, xT 0.35GustavssonVilliam Granath: 125 passningar, xT 0.24GranathTom Pettersson: 124 passningar, xT 0.23PetterssonTony Miettinen: 97 passningar, xT 0.35MiettinenViktor Gustafson: 86 passningar, xT 0.41GustafsonMax Nielsen: 76 passningar, xT 0.09NielsenJeppe Kjaer Jensen: 75 passningar, xT 0.74JensenJacob Bergström: 74 passningar, xT -0.01Bergström
    GAIS
    Oskar Ågren: 291 passningar, xT 0.35ÅgrenAugust Wängberg: 243 passningar, xT 0.83WängbergFilip Beckman: 240 passningar, xT 0.25BeckmanJoackim Fagerjord: 213 passningar, xT 0.62FagerjordMatteo De Brienne: 186 passningar, xT 0.48BrienneHenry Sletsjøe: 99 passningar, xT -0.05SletsjøeRobin Frej: 97 passningar, xT 0.35FrejMergim Krasniqi: 87 passningar, xT 0.22KrasniqiRóbert Frosti Þorkelsson: 86 passningar, xT 0.75ÞorkelssonWilliam Milovanovic: 81 passningar, xT 0.41MilovanovicRasmus Niklasson Petrovic: 76 passningar, xT 0.67Petrovic
    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
    Axel Norén: 190 passningar, xT 0.35NorénAbdullah Iqbal: 189 passningar, xT 0.38IqbalMads Enggård: 172 passningar, xT 0.71EnggårdJesper Gustavsson: 170 passningar, xT 0.35GustavssonVilliam Granath: 125 passningar, xT 0.24GranathTom Pettersson: 124 passningar, xT 0.23PetterssonTony Miettinen: 97 passningar, xT 0.35MiettinenViktor Gustafson: 86 passningar, xT 0.41GustafsonMax Nielsen: 76 passningar, xT 0.09NielsenJeppe Kjaer Jensen: 75 passningar, xT 0.74JensenJacob Bergström: 74 passningar, xT -0.01Bergström
    GAIS
    Oskar Ågren: 291 passningar, xT 0.35ÅgrenAugust Wängberg: 243 passningar, xT 0.83WängbergFilip Beckman: 240 passningar, xT 0.25BeckmanJoackim Fagerjord: 213 passningar, xT 0.62FagerjordMatteo De Brienne: 186 passningar, xT 0.48BrienneHenry Sletsjøe: 99 passningar, xT -0.05SletsjøeRobin Frej: 97 passningar, xT 0.35FrejMergim Krasniqi: 87 passningar, xT 0.22KrasniqiRóbert Frosti Þorkelsson: 86 passningar, xT 0.75ÞorkelssonWilliam Milovanovic: 81 passningar, xT 0.41MilovanovicRasmus Niklasson Petrovic: 76 passningar, xT 0.67Petrovic

    The teams in numbers

    PerformanceMjällbyGAIS
    Points2227
    xPoints21.334
    xG per match1.21.6
    xGA per match1.81.1
    xG within 8s of winning the ball0.220.43
    xGA within 8s of losing the ball0.440.17
    Playing styleMjällbyGAIS
    Build-up efficiency0.310.33
    Field tilt0.50.55
    xT per match1.41.6
    xTA per match1.41.3
    Won balls, offensive half3338
    Pressing intensity0.560.5
    Pressing efficiency0.230.24
    Pressing efficiency, offensive half0.240.25
    Entries into the box per match1417
    Entries into the box against1512
    Pass completion %0.80.81
    Pass completion % under pressure0.770.77
    Passes per match404418
    Passes against per match399411
    Switches of play per match17.612.5
    Long balls per match3127
    Set piecesMjällbyGAIS
    xG from free kicks0.240.17
    Corners per match4.85.3
    Corners against per match4.84.4
    xG per corner0.030.02
    xGA per corner against0.020.01
    First touch, offensive corners %0.370.35
    First touch, defensive corners %0.540.67
    OtherMjällbyGAIS
    Throw-in control0.560.62
    The goalkeepersRobin Wallinder (Mjällby)Mergim Krasniqi (GAIS)
    Saves6944
    Save %70%79%
    xG prevented45%50%
    Claims106 (89%)80 (94%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Mjällby vs GAIS according to our model?

    The model gives Mjällby a 38% win probability. Full 1X2 picture: Mjällby 38%, draw 25%, GAIS 38%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.