Brick wall
8/10Tokyo kept 8 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 24 October 2026.
J-League Predictions by Market
Season 2026/2027 · Round 11 · Regular Season
Full-Time Result
52%
SUCCESS RATE AVG.
Both Teams To Score
55%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
51%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
66%
SUCCESS RATE AVG.
First Half Result
50%
SUCCESS RATE AVG.
Correct Score
11%
SUCCESS RATE AVG.
J-League 2026/2027 prediction accuracy over the last 100 matches: 1X2 52%, BTTS 55%, Over/Under 2.5 51%, Over/Under 3.5 66%, correct score 11%.
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 · 150 matchesrank 1 = highest of 63 competitionsGoals a match
2.8
27th of 63
xG a match
2.71
42nd of 62
Corners a match
9.21
43rd of 62
Cards a match
2.88
63rd of 63
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 games8/10Shot-shy
6/10Tokyo Verdy failed to score in 6 of their last 10 (league 26%).
Slow starters
1/10Gamba 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 53%).
Goal-fests
8/10Urawa Reds games went over 2.5 goals in 8 of their last 10 (league 53%).
Banker as favourites
6/8Vissel Kobe won 6 of 8 as favourites (league 56%).
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
V-Varen Nagasaki4
Sanfrecce Hiroshima0Winner
2 54%
BTTS*
Yes 52%
Correct Score
0-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
· FT
V-Varen Nagasaki4Sanfrecce Hiroshima0Winner
2 54%
BTTS*
Yes 52%
Correct Score
0-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Full Time
122%
X23%
254%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 43% | 57% | 75% | 25% |
 | 19% | 81% | 50% | 50% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 48% | 52% | 61% | 39% |
Correct Score
0-1
11.5%
1-1
11.0%
1-2
10.1%
0-2
9.4%
0-0
6.5%
1-0
6.3%
2-1
6.0%
· FT
Avispa Fukuoka1
Gamba Osaka2Winner
X2 67%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
· FT
Avispa Fukuoka1Gamba Osaka2Winner
X2 67%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
· FT
Fagiano Okayama2
Mito Hollyhock0Winner
1X 68%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
· FT
Fagiano Okayama2Mito Hollyhock0Winner
1X 68%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
· FT
Kyoto Sanga2
Kashima Antlers2Winner
X2 71%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
· FT
Kyoto Sanga2Kashima Antlers2Winner
X2 71%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
· FT
Nagoya Grampus1
Cerezo Osaka1Winner
12 74%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
· FT
Nagoya Grampus1Cerezo Osaka1Winner
12 74%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
· FT
Shimizu S-Pulse0
Machida Zelvia5Winner
X2 77%
BTTS*
No 53%
Correct Score
0-1 14%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 68%
· FT
Shimizu S-Pulse0Machida Zelvia5Winner
X2 77%
BTTS*
No 53%
Correct Score
0-1 14%
Over/Under 2.5 goals
under 58%
Over/Under 3.5 goals
under 68%
· FT
Yokohama F. Marinos2
Tokyo Verdy2Winner
1X 72%
BTTS*
No 55%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 71%
· FT
Yokohama F. Marinos2Tokyo Verdy2Winner
1X 72%
BTTS*
No 55%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 71%
· FT
Kawasaki Frontale2
Vissel Kobe1Winner
12 75%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
· FT
Kawasaki Frontale2Vissel Kobe1Winner
12 75%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
· FT
Tokyo0
Kashiwa Reysol0Winner
1X 70%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
· FT
Tokyo0Kashiwa Reysol0Winner
1X 70%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
· FT
Urawa Reds3
JEF United2Winner
1 55%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
· FT
Urawa Reds3JEF United2Winner
1 55%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 60%
· FT
Sanfrecce Hiroshima4Shimizu S-Pulse0Winner
1 63%
BTTS*
Yes 51%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
· FT
Sanfrecce Hiroshima4Shimizu S-Pulse0Winner
1 63%
BTTS*
Yes 51%
Correct Score
2-0 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
· FT
Vissel Kobe0Machida Zelvia0Winner
12 71%
BTTS*
No 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 59%
Over/Under 3.5 goals
under 69%
· FT
Vissel Kobe0Machida Zelvia0Winner
12 71%
BTTS*
No 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 59%
Over/Under 3.5 goals
under 69%
· FT
Tokyo Verdy3Avispa Fukuoka1Winner
X2 72%
BTTS*
No 52%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 67%
· FT
Tokyo Verdy3Avispa Fukuoka1Winner
X2 72%
BTTS*
No 52%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 67%
· FT
Kashima Antlers2Kashiwa Reysol3Winner
1X 75%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
· FT
Kashima Antlers2Kashiwa Reysol3Winner
1X 75%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
· FT
Gamba Osaka2Kyoto Sanga2Winner
1 54%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
· FT
Gamba Osaka2Kyoto Sanga2Winner
1 54%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Nagoya Grampus–Yokohama F. Marinos–Winner
12 72%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
Nagoya Grampus–Yokohama F. Marinos–Winner
12 72%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
Cerezo Osaka–JEF United–Winner
1X 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 63%
Cerezo Osaka–JEF United–Winner
1X 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 63%
Urawa Reds–V-Varen Nagasaki–Winner
1 56%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Urawa Reds–V-Varen Nagasaki–Winner
1 56%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Kawasaki Frontale–Fagiano Okayama–Winner
1X 73%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Kawasaki Frontale–Fagiano Okayama–Winner
1X 73%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Tokyo–Mito Hollyhock–Winner
1 55%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Tokyo–Mito Hollyhock–Winner
1 55%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Kyoto Sanga–Shimizu S-Pulse–Winner
X2 66%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Kyoto Sanga–Shimizu S-Pulse–Winner
X2 66%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Mito Hollyhock–Sanfrecce Hiroshima–Winner
2 65%
BTTS*
No 54%
Correct Score
0-1 13%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Mito Hollyhock–Sanfrecce Hiroshima–Winner
2 65%
BTTS*
No 54%
Correct Score
0-1 13%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Fagiano Okayama–Tokyo–Winner
X2 77%
BTTS*
No 54%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Fagiano Okayama–Tokyo–Winner
X2 77%
BTTS*
No 54%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Vissel Kobe–Nagoya Grampus–Winner
1 54%
BTTS*
No 50%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Vissel Kobe–Nagoya Grampus–Winner
1 54%
BTTS*
No 50%
Correct Score
1-0 13%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Kashima Antlers–Cerezo Osaka–Winner
1 59%
BTTS*
No 52%
Correct Score
1-0 13%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Kashima Antlers–Cerezo Osaka–Winner
1 59%
BTTS*
No 52%
Correct Score
1-0 13%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Kashiwa Reysol–Urawa Reds–Winner
1X 72%
BTTS*
Yes 64%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
Kashiwa Reysol–Urawa Reds–Winner
1X 72%
BTTS*
Yes 64%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
Yokohama F. Marinos–Kawasaki Frontale–Winner
X2 71%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 65%
Yokohama F. Marinos–Kawasaki Frontale–Winner
X2 71%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 65%
V-Varen Nagasaki–Tokyo Verdy–Winner
12 70%
BTTS*
No 55%
Correct Score
1-1 14%
Over/Under 2.5 goals
under 62%
Over/Under 3.5 goals
under 71%
V-Varen Nagasaki–Tokyo Verdy–Winner
12 70%
BTTS*
No 55%
Correct Score
1-1 14%
Over/Under 2.5 goals
under 62%
Over/Under 3.5 goals
under 71%
JEF United–Avispa Fukuoka–Winner
12 72%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 67%
JEF United–Avispa Fukuoka–Winner
12 72%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 67%
Machida Zelvia–Gamba Osaka–Winner
1X 69%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Machida Zelvia–Gamba Osaka–Winner
1X 69%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
*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 · 1.37 xG, 1.37 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
110 matches
43.6%
Season (110) · 43.6% vs 40.2%
Season
+3.4
±8.7
30 days (30) · 36.7% vs 40.2%
30 days
−3.6
±16.6
Draws
110 matches
22.7%
Season (110) · 22.7% vs 26.6%
Season
−3.9
±8.2
30 days (30) · 26.7% vs 25.9%
30 days
+0.8
±15.6
Away wins
110 matches
33.6%
Season (110) · 33.6% vs 33.2%
Season
+0.4
±8.4
30 days (30) · 36.7% vs 33.9%
30 days
+2.8
±16.0
Over 2.5 goals
110 matches
56.4%
Season (110) · 56.4% vs 49.7%
Season
+6.6
±9.3
30 days (30) · 63.3% vs 51.5%
30 days
+11.9
±17.7
Both teams scored
110 matches
56.4%
Season (110) · 56.4% vs 52.6%
Season
+3.8
±9.3
30 days (30) · 46.7% vs 53.4%
30 days
−6.7
±17.8
Show more markets (6)Show fewer markets
Over 3.5 goals
110 matches
33.6%
Season (110) · 33.6% vs 28.3%
Season
+5.3
±8.3
30 days (30) · 33.3% vs 29.9%
30 days
+3.4
±16.2
Home side ahead at half-time
110 matches
36.4%
Season (110) · 36.4% vs 30.8%
Season
+5.5
±8.4
30 days (30) · 36.7% vs 31.0%
30 days
+5.6
±16.1
Level at half-time
110 matches
46.4%
Season (110) · 46.4% vs 42.1%
Season
+4.2
±9.2
30 days (30) · 50.0% vs 41.3%
30 days
+8.7
±17.6
Away side ahead at half-time
110 matches
17.3%
Season (110) · 17.3% vs 27.0%Fewer than expected
Season
−9.8
±8.1Fewer than expected
30 days (30) · 13.3% vs 27.7%
30 days
−14.4
±15.6
Home team scored 2+
110 matches
49.1%
Season (110) · 49.1% vs 40.3%
Season
+8.8
±8.9
30 days (30) · 50.0% vs 41.9%
30 days
+8.1
±16.9
Away team scored 2+
110 matches
39.1%
Season (110) · 39.1% vs 35.9%
Season
+3.2
±8.7
30 days (30) · 46.7% vs 37.2%
30 days
+9.5
±16.9
Outside the normal range this season: Away side ahead at half-time 17.3% vs 27.0% expected (chance alone: about 1 in 55).
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 | 110 | 43.6% | 40.2% | +3.4 | ±8.7 | Normal range |
| Home wins | 30 days | 30 | 36.7% | 40.2% | −3.6 | ±16.6 | Normal range |
| Draws | Season | 110 | 22.7% | 26.6% | −3.9 | ±8.2 | Normal range |
| Draws | 30 days | 30 | 26.7% | 25.9% | +0.8 | ±15.6 | Normal range |
| Away wins | Season | 110 | 33.6% | 33.2% | +0.4 | ±8.4 | Normal range |
| Away wins | 30 days | 30 | 36.7% | 33.9% | +2.8 | ±16.0 | Normal range |
| Over 2.5 goals | Season | 110 | 56.4% | 49.7% | +6.6 | ±9.3 | Normal range |
| Over 2.5 goals | 30 days | 30 | 63.3% | 51.5% | +11.9 | ±17.7 | Normal range |
| Both teams scored | Season | 110 | 56.4% | 52.6% | +3.8 | ±9.3 | Normal range |
| Both teams scored | 30 days | 30 | 46.7% | 53.4% | −6.7 | ±17.8 | Normal range |
| Over 3.5 goals | Season | 110 | 33.6% | 28.3% | +5.3 | ±8.3 | Normal range |
| Over 3.5 goals | 30 days | 30 | 33.3% | 29.9% | +3.4 | ±16.2 | Normal range |
| Home side ahead at half-time | Season | 110 | 36.4% | 30.8% | +5.5 | ±8.4 | Normal range |
| Home side ahead at half-time | 30 days | 30 | 36.7% | 31.0% | +5.6 | ±16.1 | Normal range |
| Level at half-time | Season | 110 | 46.4% | 42.1% | +4.2 | ±9.2 | Normal range |
| Level at half-time | 30 days | 30 | 50.0% | 41.3% | +8.7 | ±17.6 | Normal range |
| Away side ahead at half-time | Season | 110 | 17.3% | 27.0% | −9.8 | ±8.1 | Fewer than expected |
| Away side ahead at half-time | 30 days | 30 | 13.3% | 27.7% | −14.4 | ±15.6 | Normal range |
| Home team scored 2+ | Season | 110 | 49.1% | 40.3% | +8.8 | ±8.9 | Normal range |
| Home team scored 2+ | 30 days | 30 | 50.0% | 41.9% | +8.1 | ±16.9 | Normal range |
| Away team scored 2+ | Season | 110 | 39.1% | 35.9% | +3.2 | ±8.7 | Normal range |
| Away team scored 2+ | 30 days | 30 | 46.7% | 37.2% | +9.5 | ±16.9 | 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+5.3 = 5 points more than their chances usually bringRiding their luck1
Machida ZelviaClinical · +8 goals+5.3
Unlucky3
Avispa Fukuoka−7.1- Gamba OsakaWasteful · −5 goals−4.3
JEF United−4.0
Points in line, but wasteful: Cerezo Osaka (−5 goals). Clinical: Kashiwa Reysol (+3).
In line with their chances: Urawa Reds, Yokohama F. Marinos, Vissel Kobe, Tokyo, Kawasaki Frontale, Mito Hollyhock, Nagoya Grampus, Fagiano Okayama, Kashima Antlers, Shimizu S-Pulse, Kyoto Sanga, V-Varen Nagasaki, Tokyo Verdy and Sanfrecce Hiroshima.
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 17–Oct 24 · 17 matches · odds: closing, margin removedCalculated 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  Machida Zelvia | 12 | 27 | 8 | 3 | 1 | 30:10 | +20 | D W W W L |
2  Sanfrecce Hiroshima | 12 | 26 | 8 | 2 | 2 | 29:10 | +19 | W L W W W |
3  Kashiwa Reysol | 12 | 25 | 8 | 1 | 3 | 25:19 | +6 | W D L W W |
4  Tokyo | 11 | 24 | 7 | 3 | 1 | 21:8 | +13 | D W W W W |
5  Vissel Kobe | 12 | 23 | 7 | 2 | 3 | 18:11 | +7 | D L W L W |
AFC Champions League
AFC Champions League Qualifiers
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.