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 7 November 2026.
J-League Predictions by Market
Season 2026/2027 · Round 14 · Regular Season
Full-Time Result
54%
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
47%
SUCCESS RATE AVG.
Correct Score
14%
SUCCESS RATE AVG.
J-League 2026/2027 prediction accuracy over the last 100 matches: 1X2 54%, BTTS 57%, Over/Under 2.5 52%, Over/Under 3.5 65%, correct score 14%.
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 competitionsHome fortress
Goals a match
2.91
16th of 63
xG a match
2.74
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
6/10Gamba Osaka failed to score in 6 of their last 10 (league 26%).
Slow starters
1/10Cerezo Osaka scored first in only 1 of 10 recent matches with goal times (league 47%).
Hard to break
1/10Yokohama F. Marinos conceded first in only 1 of 10 recent matches with goal times (league 47%).
Goals at both ends
9/10Kawasaki Frontale: both teams scored in 9 of their last 10 (league 54%).
Goal-fests
9/10Fagiano Okayama games went over 2.5 goals in 9 of their last 10 (league 58%).
Banker as favourites
7/8Vissel Kobe won 7 of 8 as favourites (league 55%).
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.
· FT
Shimizu S-Pulse0
Tokyo Verdy1Winner
12 69%
BTTS*
No 55%
Correct Score
1-1 14%
Over/Under 2.5 goals
under 62%
Over/Under 3.5 goals
under 72%
· FT
Shimizu S-Pulse0Tokyo Verdy1Winner
12 69%
BTTS*
No 55%
Correct Score
1-1 14%
Over/Under 2.5 goals
under 62%
Over/Under 3.5 goals
under 72%
Full Time
134%
X30%
236%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 36% | 64% | 71% | 29% |
 | 34% | 66% | 70% | 30% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 62% | 38% | 72% | 28% |
Correct Score
1-1
13.7%
0-1
12.1%
1-0
11.9%
0-0
11.7%
1-2
7.5%
2-1
7.2%
0-2
6.9%
2-0
6.2%
· FT
Nagoya Grampus0
Kyoto Sanga2Winner
1X 72%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
· FT
Nagoya Grampus0Kyoto Sanga2Winner
1X 72%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
· FT
Yokohama F. Marinos1
Fagiano Okayama1Winner
1X 67%
BTTS*
Yes 60%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
· FT
Yokohama F. Marinos1Fagiano Okayama1Winner
1X 67%
BTTS*
Yes 60%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
· FT
Avispa Fukuoka1
V-Varen Nagasaki1Winner
1X 72%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
· FT
Avispa Fukuoka1V-Varen Nagasaki1Winner
1X 72%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
· FT
Tokyo2
Kashima Antlers0Winner
1X 71%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
· FT
Tokyo2Kashima Antlers0Winner
1X 71%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
· FT
Kashiwa Reysol2
Kawasaki Frontale1Winner
1X 72%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
· FT
Kashiwa Reysol2Kawasaki Frontale1Winner
1X 72%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Machida Zelvia–
Sanfrecce Hiroshima–Winner
X2 67%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Machida Zelvia–Sanfrecce Hiroshima–Winner
X2 67%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Vissel Kobe–
Urawa Reds–Winner
1 51%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Vissel Kobe–Urawa Reds–Winner
1 51%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Gamba Osaka–
Cerezo Osaka–Winner
1X 73%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Gamba Osaka–Cerezo Osaka–Winner
1X 73%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
JEF United–
Mito Hollyhock–Winner
1X 68%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
JEF United–Mito Hollyhock–Winner
1X 68%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Kashiwa Reysol–JEF United–Winner
1 65%
BTTS*
Yes 54%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Kashiwa Reysol–JEF United–Winner
1 65%
BTTS*
Yes 54%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Kashima Antlers–Shimizu S-Pulse–Winner
1 66%
BTTS*
Yes 52%
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 52%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Vissel Kobe–Mito Hollyhock–Winner
1 59%
BTTS*
No 54%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Vissel Kobe–Mito Hollyhock–Winner
1 59%
BTTS*
No 54%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
*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 · 1.38 xG, 1.38 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
130 matches
45.4%
Season (130) · 45.4% vs 40.9%
Season
+4.5
±8.1
30 days (50) · 44.0% vs 42.0%
30 days
+2.0
±13.0
Draws
130 matches
23.1%
Season (130) · 23.1% vs 26.4%
Season
−3.4
±7.6
30 days (50) · 26.0% vs 25.7%
30 days
+0.3
±12.1
Away wins
130 matches
31.5%
Season (130) · 31.5% vs 32.7%
Season
−1.1
±7.7
30 days (50) · 30.0% vs 32.3%
30 days
−2.3
±12.3
Over 2.5 goals
130 matches
59.2%
Season (130) · 59.2% vs 50.1%More than expected
Season
+9.1
±8.5More than expected
30 days (50) · 68.0% vs 51.7%More than expected
30 days
+16.3
±13.7More than expected
Both teams scored
130 matches
55.4%
Season (130) · 55.4% vs 52.7%
Season
+2.7
±8.5
30 days (50) · 48.0% vs 53.4%
30 days
−5.4
±13.8
Show more markets (6)Show fewer markets
Over 3.5 goals
130 matches
36.9%
Season (130) · 36.9% vs 28.6%More than expected
Season
+8.3
±7.7More than expected
30 days (50) · 42.0% vs 30.0%
30 days
+12.0
±12.6
Home side ahead at half-time
130 matches
37.7%
Season (130) · 37.7% vs 31.3%
Season
+6.4
±7.8
30 days (50) · 40.0% vs 32.2%
30 days
+7.8
±12.6
Level at half-time
130 matches
43.1%
Season (130) · 43.1% vs 42.0%
Season
+1.1
±8.5
30 days (50) · 40.0% vs 41.1%
30 days
−1.1
±13.6
Away side ahead at half-time
130 matches
19.2%
Season (130) · 19.2% vs 26.7%Fewer than expected
Season
−7.5
±7.5Fewer than expected
30 days (50) · 20.0% vs 26.6%
30 days
−6.6
±12.0
Home team scored 2+
130 matches
51.5%
Season (130) · 51.5% vs 41.0%More than expected
Season
+10.5
±8.2More than expected
30 days (50) · 56.0% vs 43.1%
30 days
+12.9
±13.2
Away team scored 2+
130 matches
38.5%
Season (130) · 38.5% vs 35.7%
Season
+2.8
±8.0
30 days (50) · 42.0% vs 36.1%
30 days
+5.9
±13.0
Outside the normal range this season: Over 2.5 goals 59.2% vs 50.1% expected (chance alone: about 1 in 30); Over 3.5 goals 36.9% vs 28.6% expected (chance alone: about 1 in 30); Away side ahead at half-time 19.2% vs 26.7% expected (chance alone: about 1 in 20); Home team scored 2+ 51.5% vs 41.0% expected (chance alone: about 1 in 85).
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 | 130 | 45.4% | 40.9% | +4.5 | ±8.1 | Normal range |
| Home wins | 30 days | 50 | 44.0% | 42.0% | +2.0 | ±13.0 | Normal range |
| Draws | Season | 130 | 23.1% | 26.4% | −3.4 | ±7.6 | Normal range |
| Draws | 30 days | 50 | 26.0% | 25.7% | +0.3 | ±12.1 | Normal range |
| Away wins | Season | 130 | 31.5% | 32.7% | −1.1 | ±7.7 | Normal range |
| Away wins | 30 days | 50 | 30.0% | 32.3% | −2.3 | ±12.3 | Normal range |
| Over 2.5 goals | Season | 130 | 59.2% | 50.1% | +9.1 | ±8.5 | More than expected |
| Over 2.5 goals | 30 days | 50 | 68.0% | 51.7% | +16.3 | ±13.7 | More than expected |
| Both teams scored | Season | 130 | 55.4% | 52.7% | +2.7 | ±8.5 | Normal range |
| Both teams scored | 30 days | 50 | 48.0% | 53.4% | −5.4 | ±13.8 | Normal range |
| Over 3.5 goals | Season | 130 | 36.9% | 28.6% | +8.3 | ±7.7 | More than expected |
| Over 3.5 goals | 30 days | 50 | 42.0% | 30.0% | +12.0 | ±12.6 | Normal range |
| Home side ahead at half-time | Season | 130 | 37.7% | 31.3% | +6.4 | ±7.8 | Normal range |
| Home side ahead at half-time | 30 days | 50 | 40.0% | 32.2% | +7.8 | ±12.6 | Normal range |
| Level at half-time | Season | 130 | 43.1% | 42.0% | +1.1 | ±8.5 | Normal range |
| Level at half-time | 30 days | 50 | 40.0% | 41.1% | −1.1 | ±13.6 | Normal range |
| Away side ahead at half-time | Season | 130 | 19.2% | 26.7% | −7.5 | ±7.5 | Fewer than expected |
| Away side ahead at half-time | 30 days | 50 | 20.0% | 26.6% | −6.6 | ±12.0 | Normal range |
| Home team scored 2+ | Season | 130 | 51.5% | 41.0% | +10.5 | ±8.2 | More than expected |
| Home team scored 2+ | 30 days | 50 | 56.0% | 43.1% | +12.9 | ±13.2 | Normal range |
| Away team scored 2+ | Season | 130 | 38.5% | 35.7% | +2.8 | ±8.0 | Normal range |
| Away team scored 2+ | 30 days | 50 | 42.0% | 36.1% | +5.9 | ±13.0 | 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+5.7 = 6 points more than their chances usually bringRiding their luck3
- Vissel Kobe+5.7
Urawa Reds+4.8- Kawasaki FrontaleClinical · +5 goals+4.3
Unlucky3
Avispa FukuokaWasteful · −3 goals−8.2- Cerezo OsakaWasteful · −5 goals−5.2
- Gamba OsakaWasteful · −6 goals−4.6
Points in line, but clinical: Tokyo (+4 goals), Kashiwa Reysol (+3).
In line with their chances: Kyoto Sanga, Machida Zelvia, Shimizu S-Pulse, Tokyo Verdy, Yokohama F. Marinos, Mito Hollyhock, Fagiano Okayama, Nagoya Grampus, V-Varen Nagasaki, JEF United, Sanfrecce Hiroshima and Kashima Antlers.
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
Oct 31–Nov 7 · 10 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 10 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 | 13 | 29 | 9 | 2 | 2 | 32:10 | +22 | W W L W W |
4  Machida Zelvia | 13 | 28 | 8 | 4 | 1 | 30:10 | +20 | D D W W W |
5  Vissel Kobe | 13 | 26 | 8 | 2 | 3 | 21:12 | +9 | W D L W L |
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.