Always chasing
8/10Nagoya Grampus conceded first in 8 of their last 10 (league 47%).
Kashiwa Reysol vs Nagoya Grampus Prediction, Stats & Betting Tips
J-League - Season 2026/2027 (Round 10)
Riding their luck
Kashiwa Reysol are taking more points than their chances usually bring
+7points more than their chances usually bring in their last 10
85% of teams this far ahead of their chances got fewer points in their next 10 games. Nagoya Grampus are the other way round, behind their chances: about −4 points.
Kashiwa Reysol vs Nagoya Grampus score prediction
J-League
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Kashiwa Reysol expected to score more than twice as many as Nagoya Grampus
2.9 goals in total, a little over the J-League average of 2.8.
goals expected
Kashiwa Reysol1.9Nagoya Grampus0.9Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →The match Kashiwa Reysol vs Nagoya Grampus will be played on Saturday, October 17 as part of the 2026/2027 season. This fixture will be played in the Round 10 of the J-League, played in Japan. On this page, you’ll find our detailed football prediction for Kashiwa Reysol vs Nagoya Grampus, including full-time result (1X2) probabilities, draw chances, and additional betting insights. Our predictions are generated using data-driven models that analyze team form, recent performances, and historical trends to deliver reliable match forecasts.
Kashiwa Reysol vs Nagoya Grampus — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Kashiwa Reysol vs Nagoya Grampus. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Kashiwa Reysol–
Nagoya Grampus–Winner
1 55%
BTTS*
Yes 57%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Kashiwa Reysol–Nagoya Grampus–Winner
1 55%
BTTS*
Yes 57%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Full Time
155%
X24%
222%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 21% | 79% | 43% | 57% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 56% | 44% | 79% | 21% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 17% | 83% | 46% | 54% |
| 41% | 59% | 73% | 27% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 73% | 27% | 88% | 12% |
| 91% | 9% | 98% | 2% |
1st Half
139%
X41%
220%
1st Score
161%
X5%
234%
Half Time/Full Time
1-1
34%
X-1
19%
X-X
14%
2-2
11%
X-2
7%
1-X
5%
2-X
5%
2-1
3%
1-2
2%
Correct Score
1-1
10.9%
2-1
10.2%
1-0
9.7%
2-0
8.8%
1-2
5.9%
2-2
5.8%
3-1
5.7%
0-0
5.5%
0-1
5.5%
3-0
5.4%
3-2
3.3%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Kashiwa Reysol vs Nagoya Grampus: the stats that stand out
J-League
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Nagoya Grampus: always chasing and leaky · Kashiwa Reysol: banker as favourites
8/10Banker as favourites
7/9Kashiwa Reysol won 7 of 9 as favourites (league 57%).
Leaky
1/10Nagoya Grampus kept only 1 clean sheet in their last 10 (league 27%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Kashiwa Reysol vs Nagoya Grampus: attack vs defence
J-League
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other J-League teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Kashiwa Reysol: good attack, good defence (1.49 xG, 1.22 xGA a game)
- Nagoya Grampus: good attack, weak defence (1.49 xG, 1.45 xGA)
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 →Kashiwa Reysol vs Nagoya Grampus form and luck check
J-League
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 J-League gamesKashiwa Reysol riding their luck, Nagoya Grampus unlucky
- Kashiwa ReysolClinical · +6 goals+6.7
- Nagoya GrampusWasteful · −6 goals−4.4
Last 5 matches
Kashiwa ReysolW
W
W
L
L
Nagoya GrampusL
L
L
L
W
W
D
L
Strength rank: Kashiwa Reysol 2nd of 20 · Nagoya Grampus 15th of 20
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.
Strength rank: we rank this season's 20 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Kashiwa Reysol vs Nagoya Grampus: Over 2.5 & BTTS?
J-League
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 J-League gamesBTTS = both teams scoredKashiwa Reysol and Nagoya Grampus games both go over 2.5 goals more often than the J-League average (51%).
Over 2.5 goalsleague 51%
Kashiwa Reysol6 of 10
Nagoya Grampus6 of 10
BTTSleague 54%
Kashiwa Reysol6 of 10
Nagoya Grampus5 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 132 games played here in the last 12 months.
How we measure →Kashiwa Reysol vs Nagoya Grampus corners, cards and goal times
J-League
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gameNagoya Grampus score late
Kashiwa Reysol
Nagoya Grampus
5.5
Corners won · league 4.7
5.0
4.0
Corners conceded · league 4.7
3.9
1.1
Cards · league 1.4
1.2
0.8
Opponents' cards · league 1.4
2.4
23%
Goals before half-time · league 41%
22%
23%
Goals after 75' · league 25%
44%
43%
Conceded before half-time · league 41%
41%
21%
Conceded after 75' · league 25%
24%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Kashiwa Reysol2/5
Nagoya Grampus5/5
Both Teams to Score
Kashiwa Reysol3/5
Nagoya Grampus3/5
Over/Under 2.5 Goals
Kashiwa Reysol3/5
Nagoya Grampus2/5
Over/Under 3.5 Goals
Kashiwa Reysol2/5
Nagoya Grampus4/5
First Half Result
Kashiwa Reysol0/5
Nagoya Grampus2/5
Correct Score
Kashiwa Reysol0/5
Nagoya Grampus0/5
correct predictionwrong prediction