J2 League: Predictions, Odds & Tips

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    Model-based predictions for the Scottish Premiership — 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, weather and more.

    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 through the week until kickoff.

    Upcoming matches

    League table2025/26

    New season with no matches played yet — the table shows the most recently completed season until the rounds get going.

    PosTeamSW–D–LGF–GAPxPxGxGAxGDFTStyle
    1Mito Hollyhock3820–10–855347054,146,040,7+5,351 %Possession control
    2V-Varen Nagasaki3819–13–663447055,656,252,8+3,456 %Possession control
    3JEF United Chiba3820–9–956346962,358,943,3+15,645 %Balanced & physical
    4Tokushima Vortis3818–11–945246560,247,136,9+10,250 %Possession control
    5Jubilo Iwata3819–7–1259516448,645,649,8−4,260 %Possession control
    6Omiya Ardija3818–9–1160396358,955,944,8+11,153 %Counter-attacks & crosses
    7Vegalta Sendai3816–14–847366258,650,939,9+11,057 %Possession control
    8Sagan Tosu3816–10–1246435857,248,640,7+7,954 %Balanced & physical
    9Iwaki FC3815–11–1255445656,854,044,5+9,557 %Counter-attacks & crosses
    10Montedio Yamagata3815–8–1558545347,447,154,3−7,248 %Possession control
    11FC Imabari3813–14–1146465359,257,042,9+14,148 %Possession control
    12Hokkaido Consadole Sapporo3816–5–1750635350,746,447,1−0,757 %Possession control
    13Ventforet Kofu3811–11–1637454443,137,251,3−14,139 %Balanced & physical
    14Blaublitz Akita3811–10–1743594344,142,254,0−11,844 %Low block & direct
    15Fujieda MYFC389–12–1741503947,043,755,5−11,851 %Possession control
    16Oita Trinita388–14–1627443851,436,939,9−3,041 %Balanced & physical
    17Kataller Toyama389–10–1934493746,041,450,2−8,844 %Possession control
    18Roasso Kumamoto389–10–1941573750,346,746,4+0,357 %Possession control
    19Renofa Yamaguchi387–15–1636473650,444,848,6−3,846 %Counter-attacks & crosses
    20Ehime FC383–13–2235712239,537,661,2−23,642 %Counter-attacks & crosses

    No settled matches yet for this selection — the scorecard fills in after every played round.

    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.