League intelligence hub
J1 League
Verified competition context, market disagreement signals, and model-led fixture watchlists for Japan.
Season
2026
Analytical layer
Standings + market signals
Tracked matches
907
Fixtures captured inside the current competition scope.
Prediction accuracy
53%
Settled hit rate from the verified archive only.
Active predictions
0
Upcoming or live league fixtures currently covered by logged outputs.
Featured fixtures
Active competition fixtures ranked by confidence, edge, and current market interpretation.
No fixtures in this editorial bucket for the current filters.
J1 League intelligence snapshot
SportXG ranks current league signals using verified standings data and stored prediction-market gaps. xG-only layers stay hidden until a stable league feed is available.
135 logged predictions81 settled
Most stable favorite
Kashima vs Urawa
66% model lean with 42 pt separation.
Biggest market disagreement
Kyoto Sanga vs Kashiwa Reysol
12.5 pts separate SportXG from the stored market.
Highest volatility team
Nagoya Grampus
Volatility score 94/100 across current tracked fixtures.
Strongest home advantage
Kashima
Home points pace runs 1.2 points per game above away pace.
Strongest trend shift
Vissel Kobe
Cooling trend from the last five published form markers.
League environment
These league-wide signals describe the scoring climate, confidence climate, and disagreement profile around the current competition feed.
xG trend status
Expected goals environment
2.39 projected goals per fixture
Stable league-wide xG feeds are not available here, so SportXG uses stored projected scorelines as a proxy. Current projected goals sit at 2.39 per fixture versus 4.19 actual goals per match, a -1.80 goal gap.
Historical scoring tendencies
Scoring environment
4.19 goals per match
Draws land at 4%, over-2.5 outcomes at 50%, and clean-sheet finishes at 0% across the currently stored competition record.
Model confidence environment
Model confidence environment
49%
The average selected probability is 49%, while 14% of tracked fixtures currently fall into the high-confidence bucket.
Market disagreement environment
Market disagreement environment
7.5 pts
Average model-vs-market disagreement currently runs at 7.5 pts, with 3% of tracked fixtures clearing the strong-disagreement threshold. The sharpest disagreement fixture is linked below through the featured card.
Attack and defense leaders
These table-driven leaders help frame which clubs are shaping the league's scoring environment most aggressively right now.
Match of the week
Market aligned
Kashima vs Urawa
Highest conviction active fixture in the current league feed.
Strong confidenceLow volatility
Home66%
Draw24%
Away10%
Model vs market
Model
66%
Market
—
Edge
—
No odds snapshot
Kashima to win
Biggest model disagreement
Strong market divergence
Kyoto Sanga vs Kashiwa Reysol
Largest gap between SportXG and the stored market snapshot.
Low convictionHigh volatility
Home38%
Draw24%
Away39%
Model vs market
Model
39%
Market
52%
Edge
-12.5 pts
Kashiwa Reysol to win
High volatility fixture
Market aligned
Vissel Kobe vs Kashima
Tight probability separation with elevated uncertainty.
Low convictionHigh volatility
Home35%
Draw30%
Away36%
Model vs market
Model
36%
Market
38%
Edge
-2.6 pts
Kashima to win
Key model insights
League-level watchlists and narratives prioritize what matters most, rather than stacking generic standings and fixtures equally.
Watchlist team
Gamba Osaka
Cooling trend with model strength 63/100.
Strongest home edge
Kashima
1.20 point home-vs-away pace gap.
Editorial framing
Kashima currently shows the strongest home advantage in the table data, outperforming its away points pace by 1.2 points per game.
Vissel Kobe owns the sharpest recent momentum profile in the tracked table, making it the current watchlist team for this competition.
Intelligence standings
This table stays grounded in official standings while layering model strength, volatility, and home-edge signals on top.
| # | Team | Played | GF | GA | GD | Points | Form | Model strength | Volatility | Avg edge | Home edge |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 13 | — | — | — | 26 | LLWWW | Strength69/100 | Volatility79/100 | -2.6 pts | +0.60 | |
| 1 | 14 | — | — | — | 34 | WLWWW | Strength87/100 | Volatility72/100 | -2.6 pts | +1.20 | |
| 2 | 15 | — | — | — | 25 | WLWLW | Strength63/100 | Volatility77/100 | — | -0.20 | |
| 2 | 14 | — | — | — | 32 | WWWWL | Strength79/100 | Volatility81/100 | — | -0.40 | |
| 3 | 13 | — | — | — | 25 | LWWWL | Strength67/100 | Volatility83/100 | — | +0.50 | |
| 3 | 14 | — | — | — | 25 | WLWWL | Strength57/100 | Volatility94/100 | — | +0.70 | |
| 4 | 13 | — | — | — | 24 | WWWWL | Strength50/100 | Volatility73/100 | — | +1.10 | |
| 4 | 14 | — | — | — | 21 | WWLWW | Strength64/100 | Volatility72/100 | — | +0.10 | |
| 5 | 14 | — | — | — | 20 | LLWWW | Strength61/100 | Volatility82/100 | — | +0.60 | |
| 5 | 14 | — | — | — | 20 | LLWWL | Strength45/100 | Volatility79/100 | — | +0.60 | |
| 6 | 14 | — | — | — | 18 | WWLLL | Strength48/100 | Volatility84/100 | — | -0.40 | |
| 6 | 14 | — | — | — | 20 | WLLLW | Strength44/100 | Volatility81/100 | — | +0.70 | |
| 7 | 14 | — | — | — | 18 | WLLWW | Strength27/100 | Volatility72/100 | — | +0.60 | |
| 7 | 14 | — | — | — | 20 | WWWLL | Strength49/100 | Volatility85/100 | — | +0.40 | |
| 8 | 14 | — | — | — | 16 | LWWLL | Strength45/100 | Volatility81/100 | — | -0.40 | |
| 8 | 13 | — | — | — | 19 | LWLWL | Strength39/100 | Volatility81/100 | -12.5 pts | +0.30 | |
| 9 | 14 | — | — | — | 11 | LLLLL | Strength39/100 | Volatility82/100 | -12.5 pts | 0.00 | |
| 9 | 15 | — | — | — | 18 | LWLWL | Strength36/100 | Volatility79/100 | — | +0.70 | |
| 10 | 14 | — | — | — | 16 | LWLLL | Strength38/100 | Volatility87/100 | — | +0.30 | |
| 10 | 14 | — | — | — | 9 | LLLLL | Strength16/100 | Volatility70/100 | — | +0.20 |
