J1 League: Predictions, Odds & Tips
Läs på svenskaModel-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.
| Pos | Team | S | W–D–L | GF–GA | P | xP | xG | xGA | xGD | FT | Style |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 38 | 23–7–8 | 58–31 | 76 | 57,3 | 50,5 | 42,9 | +7,6 | 51 % | Possession control | |
| 2 | 38 | 21–12–5 | 60–34 | 75 | 60,9 | 53,6 | 41,8 | +11,8 | 65 % | Possession control | |
| 3 | 38 | 19–11–8 | 62–40 | 68 | 51,0 | 47,5 | 52,4 | −4,9 | 49 % | Low block & direct | |
| 4 | 38 | 20–8–10 | 46–28 | 68 | 67,6 | 59,7 | 34,2 | +25,5 | 59 % | Possession control | |
| 5 | 38 | 18–10–10 | 46–33 | 64 | 65,4 | 53,6 | 33,8 | +19,8 | 57 % | Counter-attacks & crosses | |
| 6 | 38 | 17–9–12 | 52–38 | 60 | 61,2 | 55,5 | 39,9 | +15,6 | 47 % | Low block & direct | |
| 7 | 38 | 16–11–11 | 45–39 | 59 | 49,9 | 49,0 | 57,8 | −8,8 | 49 % | Balanced & physical | |
| 8 | 38 | 15–12–11 | 67–57 | 57 | 55,5 | 55,1 | 50,5 | +4,6 | 55 % | Balanced & physical | |
| 9 | 38 | 17–6–15 | 53–55 | 57 | 51,4 | 49,0 | 50,9 | −1,9 | 56 % | Possession control | |
| 10 | 38 | 14–10–14 | 60–57 | 52 | 49,5 | 57,0 | 57,8 | −0,8 | 55 % | Possession control | |
| 11 | 38 | 13–11–14 | 41–48 | 50 | 54,1 | 49,4 | 47,1 | +2,3 | 47 % | Possession control | |
| 12 | 38 | 12–12–14 | 34–38 | 48 | 52,3 | 49,0 | 46,0 | +3,0 | 48 % | Low block & direct | |
| 13 | 38 | 12–9–17 | 34–43 | 45 | 46,5 | 42,2 | 51,3 | −9,1 | 42 % | Low block & direct | |
| 14 | 38 | 11–11–16 | 41–51 | 44 | 45,2 | 47,9 | 58,1 | −10,2 | 50 % | Possession control | |
| 15 | 38 | 12–7–19 | 46–47 | 43 | 43,4 | 41,0 | 53,6 | −12,6 | 46 % | Possession control | |
| 16 | 38 | 11–10–17 | 44–56 | 43 | 56,2 | 49,4 | 45,6 | +3,8 | 39 % | Possession control | |
| 17 | 38 | 11–10–17 | 23–41 | 43 | 43,8 | 35,0 | 44,8 | −9,8 | 48 % | Possession control | |
| 18 | 38 | 9–8–21 | 27–45 | 35 | 47,2 | 38,8 | 51,3 | −12,5 | 35 % | Low block & direct | |
| 19 | 38 | 8–8–22 | 36–63 | 32 | 41,3 | 40,3 | 54,7 | −14,4 | 45 % | Counter-attacks & crosses | |
| 20 | 38 | 4–12–22 | 36–67 | 24 | 48,5 | 44,8 | 54,0 | −9,2 | 45 % | Possession control |
Latest articles
All articles
2026-08-04 · 3 min
Oscar Nilsson tips 4/8: upsets with value
The model identifies three matches where its calculated probabilities deviate positively from the market's odds: Urawa Reds away against Gamba Osaka (36% probability, odds 3.01, value +6.9%) as well as Estoril Praia's home win against Famalicao (31% probability, odds 3.48, value +6.8%). None of the bets concern a clear favorite, but are based on the model seeing more even strength ratios and home advantage effects than the odds-setting reflects.

2026-05-13 · 1 min
Scouting Report: Nobuteru Nakagawa (Kashiwa Reysol)
Nobuteru Nakagawa, 23-year-old midfielder at Kashiwa Reysol, stands out as a strong playmaking player with a PlaymakerRank of 3.5 that exceeds the league average and impressive assist numbers of 1.68 per 90 minutes. His TransferIndex of 0.96 and ability to create goal chances rather than score goals himself makes him an interesting candidate for clubs seeking creative power in midfield.
Played matches
Prediction track recordNo 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.