Brick wall
9/10Tokyo kept 9 clean sheets in their last 10 (league 26%).
J-League Predictions & Stats
Free AI predictions for every upcoming J-League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 14 November 2026.
J-League Predictions by Market
Season 2026/2027 · Round 15 · Regular Season
Full-Time Result
50%
SUCCESS RATE AVG.
Both Teams To Score
57%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
52%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
65%
SUCCESS RATE AVG.
First Half Result
48%
SUCCESS RATE AVG.
Correct Score
15%
SUCCESS RATE AVG.
J-League 2026/2027 prediction accuracy over the last 100 matches: 1X2 50%, BTTS 57%, Over/Under 2.5 52%, Over/Under 3.5 65%, correct score 15%.
J-League stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 160 matchesrank 1 = highest of 63 competitionsGoals a match
2.88
18th of 63
xG a match
2.73
42nd of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
J-League: the stats that stand out
The J-League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games9/10Shot-shy
7/10Mito Hollyhock failed to score in 7 of their last 10 (league 26%).
Low-scoring
2/10Yokohama F. Marinos games went over 2.5 goals in only 2 of their last 10 (league 56%).
Goals at both ends
9/10Kawasaki Frontale: both teams scored in 9 of their last 10 (league 54%).
Always chasing
8/10Avispa Fukuoka conceded first in 8 of 10 recent matches with goal times (league 47%).
Slow starters
2/10Cerezo Osaka scored first in only 2 of 10 recent matches with goal times (league 47%).
Banker as favourites
5/6Urawa Reds won 5 of 6 as favourites (league 54%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for J-League Japan
Free predictions for today's J-League matches: 1X2, both teams to score, over/under and correct score.
Vissel Kobe–
Mito Hollyhock–Winner
1 58%
BTTS*
No 55%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 66%
Vissel Kobe–Mito Hollyhock–Winner
1 58%
BTTS*
No 55%
Correct Score
1-0 14%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 66%
Full Time
158%
X24%
218%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 19% | 81% | 50% | 50% |
| 50% | 50% | 82% | 18% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 54% | 46% | 66% | 34% |
Correct Score
1-0
14.2%
2-0
11.7%
1-1
11.2%
2-1
9.6%
0-0
8.3%
3-0
6.6%
0-1
6.1%
Kashiwa Reysol–
JEF United–Winner
1 64%
BTTS*
Yes 55%
Correct Score
2-0 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 53%
Kashiwa Reysol–JEF United–Winner
1 64%
BTTS*
Yes 55%
Correct Score
2-0 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 53%
Kashima Antlers–
Shimizu S-Pulse–Winner
1 66%
BTTS*
Yes 51%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Kashima Antlers–Shimizu S-Pulse–Winner
1 66%
BTTS*
Yes 51%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Sanfrecce Hiroshima–
Yokohama F. Marinos–Winner
1 63%
BTTS*
No 52%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 60%
Sanfrecce Hiroshima–Yokohama F. Marinos–Winner
1 63%
BTTS*
No 52%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 60%
Kyoto Sanga–
Urawa Reds–Winner
1X 66%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Kyoto Sanga–Urawa Reds–Winner
1X 66%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Machida Zelvia–
V-Varen Nagasaki–Winner
1 60%
BTTS*
No 55%
Correct Score
1-0 15%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 66%
Machida Zelvia–V-Varen Nagasaki–Winner
1 60%
BTTS*
No 55%
Correct Score
1-0 15%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 66%
Tokyo Verdy–
Nagoya Grampus–Winner
X2 68%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Tokyo Verdy–Nagoya Grampus–Winner
X2 68%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Cerezo Osaka–
Tokyo–Winner
X2 77%
BTTS*
No 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
Cerezo Osaka–Tokyo–Winner
X2 77%
BTTS*
No 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
Kawasaki Frontale–
Avispa Fukuoka–Winner
1X 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Kawasaki Frontale–Avispa Fukuoka–Winner
1X 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Gamba Osaka–
Fagiano Okayama–Winner
1X 74%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Gamba Osaka–Fagiano Okayama–Winner
1X 74%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
V-Varen Nagasaki–Kawasaki Frontale–Winner
X2 70%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
V-Varen Nagasaki–Kawasaki Frontale–Winner
X2 70%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Avispa Fukuoka–Yokohama F. Marinos–Winner
X2 69%
BTTS*
No 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 68%
Avispa Fukuoka–Yokohama F. Marinos–Winner
X2 69%
BTTS*
No 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 68%
Fagiano Okayama–Shimizu S-Pulse–Winner
1X 70%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Fagiano Okayama–Shimizu S-Pulse–Winner
1X 70%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Tokyo–Sanfrecce Hiroshima–Winner
12 74%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Tokyo–Sanfrecce Hiroshima–Winner
12 74%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
JEF United–Nagoya Grampus–Winner
1X 66%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
JEF United–Nagoya Grampus–Winner
1X 66%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Mito Hollyhock–Tokyo Verdy–Winner
2 54%
BTTS*
No 57%
Correct Score
0-1 15%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 70%
Mito Hollyhock–Tokyo Verdy–Winner
2 54%
BTTS*
No 57%
Correct Score
0-1 15%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 70%
Urawa Reds–Cerezo Osaka–Winner
1 51%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Urawa Reds–Cerezo Osaka–Winner
1 51%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
J-League xG: chances created and allowed
Every J-League team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsJ-League average · 1.36 xG, 1.36 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 20
Good attack, good defence
Good attack, weak defence
Weak attack, good defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →J-League Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in J-League this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −20◀ fewer than expected · −20 pts odds expected+20 more ▶+20 pts · more than expected ▶
Verdict
Home wins
140 matches
44.3%
Season (140) · 44.3% vs 41.1%
Season
+3.2
±7.8
30 days (50) · 42.0% vs 43.0%
30 days
−1.0
±13.1
Draws
140 matches
24.3%
Season (140) · 24.3% vs 26.5%
Season
−2.2
±7.3
30 days (50) · 30.0% vs 25.8%
30 days
+4.2
±12.1
Away wins
140 matches
31.4%
Season (140) · 31.4% vs 32.4%
Season
−1.0
±7.4
30 days (50) · 28.0% vs 31.2%
30 days
−3.2
±12.3
Over 2.5 goals
140 matches
57.1%
Season (140) · 57.1% vs 50.3%
Season
+6.9
±8.2
30 days (50) · 64.0% vs 51.9%
30 days
+12.1
±13.7
Both teams scored
140 matches
55.0%
Season (140) · 55.0% vs 52.9%
Season
+2.1
±8.2
30 days (50) · 48.0% vs 53.6%
30 days
−5.6
±13.7
Show more markets (6)Show fewer markets
Over 3.5 goals
140 matches
35.7%
Season (140) · 35.7% vs 28.8%
Season
+7.0
±7.4
30 days (50) · 44.0% vs 30.2%More than expected
30 days
+13.8
±12.6More than expected
Home side ahead at half-time
140 matches
35.7%
Season (140) · 35.7% vs 31.4%
Season
+4.3
±7.5
30 days (50) · 34.0% vs 32.8%
30 days
+1.2
±12.7
Level at half-time
140 matches
44.3%
Season (140) · 44.3% vs 41.9%
Season
+2.3
±8.2
30 days (50) · 40.0% vs 41.2%
30 days
−1.2
±13.6
Away side ahead at half-time
140 matches
20.0%
Season (140) · 20.0% vs 26.6%
Season
−6.6
±7.2
30 days (50) · 26.0% vs 25.9%
30 days
+0.1
±11.9
Home team scored 2+
140 matches
50.7%
Season (140) · 50.7% vs 41.3%More than expected
Season
+9.4
±7.9More than expected
30 days (50) · 56.0% vs 43.9%
30 days
+12.1
±13.3
Away team scored 2+
140 matches
37.9%
Season (140) · 37.9% vs 35.7%
Season
+2.2
±7.7
30 days (50) · 40.0% vs 35.5%
30 days
+4.5
±12.9
Outside the normal range this season: Home team scored 2+ 50.7% vs 41.3% expected (chance alone: about 1 in 50).
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 140 | 44.3% | 41.1% | +3.2 | ±7.8 | Normal range |
| Home wins | 30 days | 50 | 42.0% | 43.0% | −1.0 | ±13.1 | Normal range |
| Draws | Season | 140 | 24.3% | 26.5% | −2.2 | ±7.3 | Normal range |
| Draws | 30 days | 50 | 30.0% | 25.8% | +4.2 | ±12.1 | Normal range |
| Away wins | Season | 140 | 31.4% | 32.4% | −1.0 | ±7.4 | Normal range |
| Away wins | 30 days | 50 | 28.0% | 31.2% | −3.2 | ±12.3 | Normal range |
| Over 2.5 goals | Season | 140 | 57.1% | 50.3% | +6.9 | ±8.2 | Normal range |
| Over 2.5 goals | 30 days | 50 | 64.0% | 51.9% | +12.1 | ±13.7 | Normal range |
| Both teams scored | Season | 140 | 55.0% | 52.9% | +2.1 | ±8.2 | Normal range |
| Both teams scored | 30 days | 50 | 48.0% | 53.6% | −5.6 | ±13.7 | Normal range |
| Over 3.5 goals | Season | 140 | 35.7% | 28.8% | +7.0 | ±7.4 | Normal range |
| Over 3.5 goals | 30 days | 50 | 44.0% | 30.2% | +13.8 | ±12.6 | More than expected |
| Home side ahead at half-time | Season | 140 | 35.7% | 31.4% | +4.3 | ±7.5 | Normal range |
| Home side ahead at half-time | 30 days | 50 | 34.0% | 32.8% | +1.2 | ±12.7 | Normal range |
| Level at half-time | Season | 140 | 44.3% | 41.9% | +2.3 | ±8.2 | Normal range |
| Level at half-time | 30 days | 50 | 40.0% | 41.2% | −1.2 | ±13.6 | Normal range |
| Away side ahead at half-time | Season | 140 | 20.0% | 26.6% | −6.6 | ±7.2 | Normal range |
| Away side ahead at half-time | 30 days | 50 | 26.0% | 25.9% | +0.1 | ±11.9 | Normal range |
| Home team scored 2+ | Season | 140 | 50.7% | 41.3% | +9.4 | ±7.9 | More than expected |
| Home team scored 2+ | 30 days | 50 | 56.0% | 43.9% | +12.1 | ±13.3 | Normal range |
| Away team scored 2+ | Season | 140 | 37.9% | 35.7% | +2.2 | ±7.7 | Normal range |
| Away team scored 2+ | 30 days | 50 | 40.0% | 35.5% | +4.5 | ±12.9 | Normal range |
J-League luck check: the last 10 games
J-League teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+4.5 = 5 points more than their chances usually bringRiding their luck2
- Vissel Kobe+4.5
- TokyoClinical · +4 goals+4.1
Unlucky3
- Avispa Fukuoka−6.9
Gamba OsakaWasteful · −5 goals−6.5
Kashima Antlers−4.7
Points in line, but wasteful: Nagoya Grampus (−3 goals). Clinical: Kawasaki Frontale (+3), Kashiwa Reysol (+3).
In line with their chances: Urawa Reds, Tokyo Verdy, Machida Zelvia, Yokohama F. Marinos, Kyoto Sanga, JEF United, Shimizu S-Pulse, V-Varen Nagasaki, Fagiano Okayama, Mito Hollyhock, Sanfrecce Hiroshima and Cerezo Osaka.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →J-League last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Nov 7–Nov 14 · 4 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 4 matches.
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →J-League Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Tokyo | 14 | 33 | 10 | 3 | 1 | 33:8 | +25 | W W W D W |
2  Kashiwa Reysol | 14 | 31 | 10 | 1 | 3 | 31:20 | +11 | W W W D L |
3  Sanfrecce Hiroshima | 14 | 30 | 9 | 3 | 2 | 32:10 | +22 | D W W L W |
4  Machida Zelvia | 14 | 29 | 8 | 5 | 1 | 30:10 | +20 | D D D W W |
5  Vissel Kobe | 14 | 27 | 8 | 3 | 3 | 23:14 | +9 | D W D L W |
AFC Champions League
Relegation
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares J-League with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About J-League
The J1 League is Japan’s top-tier football competition, known for its technical precision, disciplined tactics, and fast-paced gameplay. With 20 teams operating under a promotion and relegation system, the league has gained increasing global recognition. Historically dominated by clubs like Kashima Antlers and Yokohama F. Marinos, the J1 League continues to grow in competitiveness, attracting international talent and expanding its fanbase. Renowned for its innovative football approach and passionate supporters, the J1 League is a must-watch for football enthusiasts worldwide.