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.

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    League table2026

    PosTeamPSW–D–LGF–GAxPxGxGAxGDFTStyle
    1IFK Norrköping552517–4–448–1641,745,825,5+20,362 %Possession & high press
    2Falkenberg452513–6–646–3334,733,032,2+0,842 %Possession control
    3Varbergs BoIS442513–5–744–3334,033,234,8−1,645 %Counter-attacks & crosses
    4Östersund432511–10–433–2434,032,025,8+6,265 %Possession & high press
    5Landskrona BoIS402511–7–739–2636,640,029,8+10,258 %Possession control
    6Oddevold36259–9–738–3440,334,527,8+6,744 %Low block & direct
    7Öster362511–3–1138–3829,830,042,0−12,045 %Counter-attacks & crosses
    8Nordic United36259–9–738–4035,535,835,5+0,353 %Counter-attacks & crosses
    9Sandviken34259–7–941–3535,437,831,5+6,361 %Possession & high press
    10Helsingborgs IF29248–5–1136–4525,627,634,8−7,253 %Possession control
    11IFK Värnamo29258–5–1233–4530,026,231,5−5,350 %Possession control
    12Ljungskile28247–7–1031–3333,235,333,6+1,748 %Possession control
    13Örebro SK24255–9–1127–3929,426,032,8−6,852 %Possession control
    14Norrby23244–11–928–3536,631,434,8−3,437 %Counter-attacks & crosses
    15Brage23255–8–1239–4833,331,034,2−3,244 %Possession control
    16GIF Sundsvall16245–1–1816–5131,222,135,3−13,236 %Low block & direct

    Latest articles

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    Superettan simulerad en miljon gånger: Norrköping mot Allsvenskan

    2026-08-07 · 4 min

    Superettan simulerad en miljon gånger: Norrköping mot Allsvenskan

    17 omgångar spelade, resten simulerad en miljon gånger. IFK Norrköping har 74,8 % chans till serieseger och 91 % till direktuppflyttning — medan GIF Sundsvall åker ur i 98 fall av 100.

    Played matches

    Prediction track record
    Helsingborgs IFHelsingborgs IF
    0–0
    NorrbyNorrby
    1 39%X 24%2 37%
    The model missed the outcome
    GIF SundsvallGIF Sundsvall
    3–2
    LjungskileLjungskile
    1 26%X 24%2 50%
    The model missed the outcome
    SandvikenSandviken
    4–2
    Örebro SKÖrebro SK
    1 48%X 24%2 27%
    The model called the outcome
    Varbergs BoISVarbergs BoIS
    3–2
    BrageBrage
    1 46%X 25%2 29%
    The model called the outcome
    OddevoldOddevold
    1–2
    IFK VärnamoIFK Värnamo
    1 45%X 27%2 27%
    The model missed the outcome
    Nordic UnitedNordic United
    1–4
    Landskrona BoISLandskrona BoIS
    1 43%X 24%2 33%
    The model missed the outcome
    ÖsterÖster
    1–3
    IFK NorrköpingIFK Norrköping
    1 22%X 23%2 55%
    The model called the outcome
    FalkenbergFalkenberg
    0–0
    ÖstersundÖstersund
    1 34%X 26%2 40%
    The model missed the outcome
    IFK VärnamoIFK Värnamo
    1–3
    ÖsterÖster
    1 46%X 25%2 30%
    The model missed the outcome
    BrageBrage
    1–1
    SandvikenSandviken
    1 31%X 24%2 45%
    The model missed the outcome
    Landskrona BoISLandskrona BoIS
    4–0
    GIF SundsvallGIF Sundsvall
    1 63%X 20%2 17%
    The model called the outcome
    ÖstersundÖstersund
    1–0
    Helsingborgs IFHelsingborgs IF
    1 59%X 24%2 17%
    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.

    Swedish Superettan FAQ

    Where do I find Swedish Superettan predictions?

    Right here: every match in the Swedish Superettan has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.

    How are the Swedish Superettan predictions made?

    Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.

    What is the xP table?

    xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which the Swedish Superettan teams are over- and underrated right now.

    Which teams play in Swedish Superettan 2026?

    Swedish Superettan 2026 has 16 teams: IFK Norrköping, Falkenberg, Varbergs BoIS, Östersund, Landskrona BoIS, Oddevold, Öster, Nordic United, Sandviken, Helsingborgs IF, IFK Värnamo, Ljungskile, Örebro SK, Norrby, Brage, GIF Sundsvall.

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