Swedish Allsvenskan: Predictions, Odds & Tips

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    Model-based predictions for Allsvenskan, the Swedish top flight — powered by the same match model behind PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals, over/under lines and both-teams-to-score, built from hundreds of data points per team: strength, form, playing style, squad and weather.

    We compare the predictions against live odds from multiple bookmakers and flag positive expected value (EV+) where the model's probability beats the implied odds. Once matches are played, we grade every prediction openly — hit or miss. Everything updates continuously until kickoff.

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    League table2026

    PosTeamSW–D–LGF–GAPxPxGxGAxGDFTStyle
    1Sirius1513–2–042174129,731,015,8+15,244 %Balanced & physical
    2Hammarby158–3–433152724,530,416,5+13,974 %Possession & high press
    3Djurgården148–2–433152623,226,716,5+10,259 %Possession & high press
    4Häcken156–7–228232523,323,916,8+7,150 %Possession & high press
    5Malmö FF157–2–630252319,622,520,7+1,857 %Possession & high press
    6AIK156–4–518212216,117,724,3−6,656 %Possession & high press
    7Västerås SK156–4–524292218,717,223,7−6,544 %Balanced & physical
    8Elfsborg155–6–420182119,818,120,2−2,143 %Balanced & physical
    9GAIS155–5–519152025,225,315,9+9,456 %Possession & high press
    10Kalmar FF155–3–719211822,720,417,7+2,748 %Possession control
    11Mjällby144–5–520191715,818,821,7−2,955 %Possession control
    12Brommapojkarna154–5–620241721,018,021,9−3,938 %Balanced & physical
    13IFK Göteborg154–4–719331622,624,020,7+3,350 %Counter-attacks & crosses
    14Örgryte153–4–817331316,516,128,1−12,037 %Balanced & physical
    15Degerfors152–4–912261014,413,124,0−10,949 %Balanced & physical
    16Halmstad151–4–101131714,113,732,7−19,040 %Counter-attacks & crosses

    Latest articles

    All articles
    HalmstadHalmstad
    02
    SiriusSirius
    1 13%X 19%2 68%
    The model called the outcome
    DjurgårdenDjurgården
    60
    Västerås SKVästerås SK
    1 60%X 20%2 20%
    The model called the outcome
    AIKAIK
    03
    ÖrgryteÖrgryte
    1 59%X 21%2 20%
    The model missed the outcome
    BrommapojkarnaBrommapojkarna
    12
    Malmö FFMalmö FF
    1 28%X 24%2 48%
    The model called the outcome
    IFK GöteborgIFK Göteborg
    20
    DegerforsDegerfors
    1 50%X 25%2 25%
    The model called the outcome
    HäckenHäcken
    11
    Kalmar FFKalmar FF
    1 51%X 25%2 24%
    The model missed the outcome
    HäckenHäcken
    00
    AIKAIK
    1 51%X 27%2 22%
    The model missed the outcome
    Malmö FFMalmö FF
    12
    ElfsborgElfsborg
    1 49%X 26%2 25%
    The model missed the outcome
    GAISGAIS
    11
    HalmstadHalmstad
    1 70%X 18%2 13%
    The model missed the outcome
    SiriusSirius
    41
    IFK GöteborgIFK Göteborg
    1 55%X 23%2 22%
    The model called the outcome
    BrommapojkarnaBrommapojkarna
    11
    HammarbyHammarby
    1 19%X 21%2 61%
    The model missed the outcome
    Kalmar FFKalmar FF
    21
    MjällbyMjällby
    1 33%X 24%2 43%
    The model missed the outcome
    DegerforsDegerfors
    01
    DjurgårdenDjurgården
    1 20%X 25%2 55%
    The model called the outcome
    Västerås SKVästerås SK
    20
    ÖrgryteÖrgryte
    1 50%X 25%2 25%
    The model called the outcome
    Kalmar FFKalmar FF
    22
    Malmö FFMalmö FF
    1 36%X 27%2 37%
    The model missed the outcome
    ÖrgryteÖrgryte
    00
    DjurgårdenDjurgården
    1 18%X 19%2 62%
    The model missed the outcome
    HammarbyHammarby
    40
    DegerforsDegerfors
    1 72%X 16%2 12%
    The model called the outcome
    HalmstadHalmstad
    02
    HäckenHäcken
    1 19%X 22%2 59%
    The model called the outcome
    ElfsborgElfsborg
    13
    SiriusSirius
    1 23%X 24%2 53%
    The model called the outcome

    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

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