Swedish Superettan: Predictions, Odds & Tips

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    Model-based predictions for Superettan, the Swedish second tier — powered by the same match model behind PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team.

    We compare the predictions against live odds 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.

    Upcoming matches

    Odds on the move
    ÖstersundÖstersund
    vs
    GIF SundsvallGIF Sundsvall
    1 60%X 23%2 17%
    LjungskileLjungskile
    vs
    OddevoldOddevold
    1 39%X 26%2 35%
    FalkenbergFalkenberg
    vs
    Nordic UnitedNordic United
    1 39%X 26%2 35%
    IFK NorrköpingIFK Norrköping
    vs
    BrageBrage
    1 63%X 18%2 19%
    Varbergs BoISVarbergs BoIS
    vs
    SandvikenSandviken
    1 48%X 24%2 28%
    NorrbyNorrby
    vs
    Örebro SKÖrebro SK
    1 41%X 26%2 33%
    Odds on the move
    Helsingborgs IFHelsingborgs IF
    vs
    IFK VärnamoIFK Värnamo
    1 50%X 22%2 28%

    League table2026

    PosTeamSW–D–LGF–GAPxPxGxGAxGDFTStyle
    1IFK Norrköping1711–2–429–103527,530,117,9+12,260 %Possession control
    2Varbergs BoIS1710–3–434–233326,325,221,8+3,445 %Counter-attacks & crosses
    3Falkenberg179–4–433–263122,521,622,6−1,042 %Possession control
    4Östersund178–5–427–212922,221,920,6+1,362 %Possession & high press
    5Nordic United177–6–428–252727,525,320,9+4,447 %Counter-attacks & crosses
    6Öster178–2–727–262618,619,029,2−10,250 %Possession & high press
    7Landskrona BoIS177–4–623–192522,826,025,2+0,855 %Possession control
    8Helsingborgs IF177–3–730–342418,823,126,7−3,654 %Possession control
    9Ljungskile176–5–625–232325,428,022,1+5,951 %Possession control
    10Sandviken176–4–730–252223,325,223,0+2,259 %Possession control
    11Oddevold175–7–528–262227,124,617,9+6,748 %Counter-attacks & crosses
    12Brage175–5–730–302023,925,023,8+1,249 %Possession control
    13Norrby173–10–421–231925,622,625,2−2,635 %Counter-attacks & crosses
    14Örebro SK173–6–814–251518,715,124,5−9,450 %Low block & direct
    15IFK Värnamo174–2–1120–351418,817,221,6−4,453 %Possession control
    16GIF Sundsvall173–0–1413–41923,115,823,3−7,535 %Low block & direct

    Played matches

    Prediction track record
    Örebro SKÖrebro SK
    1–3
    IFK VärnamoIFK Värnamo
    1 41%X 24%2 35%
    The model missed the outcome
    Nordic UnitedNordic United
    2–2
    LjungskileLjungskile
    1 47%X 25%2 27%
    The model missed the outcome
    BrageBrage
    2–1
    Landskrona BoISLandskrona BoIS
    1 34%X 27%2 39%
    The model missed the outcome
    IFK NorrköpingIFK Norrköping
    2–0
    Helsingborgs IFHelsingborgs IF
    1 63%X 18%2 19%
    The model called the outcome
    Varbergs BoISVarbergs BoIS
    2–1
    FalkenbergFalkenberg
    1 40%X 26%2 35%
    The model called the outcome
    SandvikenSandviken
    5–0
    GIF SundsvallGIF Sundsvall
    1 55%X 23%2 21%
    The model called the outcome
    OddevoldOddevold
    0–0
    NorrbyNorrby
    1 47%X 24%2 29%
    The model missed the outcome
    Helsingborgs IFHelsingborgs IF
    1–1
    Nordic UnitedNordic United
    1 32%X 24%2 44%
    The model missed the outcome
    Landskrona BoISLandskrona BoIS
    0–1
    IFK NorrköpingIFK Norrköping
    1 32%X 25%2 43%
    The model called the outcome
    Örebro SKÖrebro SK
    0–0
    OddevoldOddevold
    1 27%X 24%2 49%
    The model missed the outcome
    NorrbyNorrby
    2–2
    ÖstersundÖstersund
    1 32%X 26%2 42%
    The model missed the outcome
    LjungskileLjungskile
    2–1
    SandvikenSandviken
    1 43%X 25%2 32%
    The model called the outcome
    GIF SundsvallGIF Sundsvall
    1–2
    FalkenbergFalkenberg
    1 21%X 23%2 55%
    The model called the outcome
    IFK VärnamoIFK Värnamo
    0–0
    BrageBrage
    1 37%X 24%2 39%
    The model missed the outcome
    FalkenbergFalkenberg
    2–3
    Helsingborgs IFHelsingborgs IF
    1 48%X 25%2 27%
    The model missed the outcome
    NorrbyNorrby
    3–1
    GIF SundsvallGIF Sundsvall
    1 41%X 29%2 31%
    The model called the outcome
    IFK VärnamoIFK Värnamo
    2–3
    LjungskileLjungskile
    1 33%X 24%2 43%
    The model called the outcome
    Nordic UnitedNordic United
    2–0
    Örebro SKÖrebro SK
    1 58%X 22%2 20%
    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.