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Nagoya Grampus vs Vissel Kobe 2-2 Score & Prediction Review

J-League - Season 2025 (Round 2)

Fair result
Nagoya GrampusNagoya Grampus

2–2

Vissel KobeVissel Kobe
1.6Chances (xG)1.7

On these chances Nagoya Grampus would usually take 1.4 points and Vissel Kobe 1.4; they took 1 and 1. Bookmakers' favourite: Vissel Kobe.

Nagoya Grampus −0.4 pts vs chancesVissel Kobe −0.4 pts vs chances

Calculated by MyGameOdds · xG: our own model

How it works

Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.

Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.

Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.

How we measure →

Nagoya Grampus vs Vissel Kobe stats: how the match was played

J-League

Whether the result matched the chances each side created, measured with our own xG.

Vissel Kobe had clearly more shots on target

Nagoya Grampus

Vissel Kobe

5

Shots on target

7

1

Big chances

2

3

Corners

6

1

Yellow cards

0

47%

Possession

53%

The match between Nagoya Grampus and Vissel Kobe ended 2-2. Our AI model predicted an Vissel Kobe win at 42% confidence — the final result went a different way, but individual market predictions still offer useful insight. Overall a solid read on this match, with 2 out of 4 key markets predicted correctly, including Both Teams To Score & Over/Under 2.5 Goals.
This match is finished — the model has already priced the next one: Vissel Kobe – Mito Hollyhock prediction & betting tips (Nov 20, 2026).

Nagoya Grampus vs Vissel Kobe — Our Model vs the Bookmakers

Market check · J-League

How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.

How to read it

our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers

Our model’s pick

Vissel Kobe to win

Wrong
Our model 42%Bookmakers 43%

Our track record

In 3,613 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 47.8% of the time (bookmakers said 47.0%).

Both Teams to Score →Disagrees with bookmakers

Our model’s pick

Yes, both score

Correct

The bookmakers’ favourite was wrong: No, not both.

Our model 54%Bookmakers 42%

Our track record

In 3,086 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 46.9% of the time: closer to the bookmakers’ 46.4% than to our 50–55%.

Over/Under 2.5 Goals →Disagrees with bookmakers

Our model’s pick

Over 2.5 goals

Correct

The bookmakers’ favourite was wrong: Under 2.5 goals.

Our model 52%Bookmakers 34%

Our track record

In 2,877 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 44.5% of the time: closer to the bookmakers’ 45.2% than to our 50–55%.

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Wrong
Our model 71%Bookmakers 85%

Our track record

In 4,571 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.4% of the time (bookmakers said 71.3%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 43%Bookmakers 50%

Our track record

In 6,662 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.6% of the time (bookmakers said 44.0%).

Nagoya Grampus Goals →Agrees with bookmakers

Our model’s pick

Nagoya Grampus 0–1 goals

Wrong
Our model 67%Bookmakers 77%

Our track record

In 2,647 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 69.4% of the time (bookmakers said 67.6%).

Vissel Kobe Goals →Agrees with bookmakers

Our model’s pick

Vissel Kobe 0–1 goals

Wrong
Our model 58%Bookmakers 68%

Our track record

In 1,580 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 59.9% of the time (bookmakers said 60.9%).

Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

Nagoya Grampus vs Vissel Kobe 2-2 — How Our Predictions Performed

The prediction cards below show the pre-match probabilities our AI model generated for Nagoya Grampus vs Vissel Kobe. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.

· FT
J-League - Japan
Nagoya GrampusNagoya Grampus2
Vissel KobeVissel Kobe2

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%

Full Time

132%
X26%
242%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT25%75%49%51%
<3.5>3.5<4.5>4.5
FT61%39%83%17%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
Nagoya Grampus34%66%67%33%
Vissel Kobe26%74%58%42%
<2.5>2.5<3.5>3.5
Nagoya Grampus87%13%96%4%
Vissel Kobe82%18%93%7%

1st Half

124%
X43%
234%

1st Score

140%
X7%
253%

Half Time/Full Time

2-2

26%

X-X

17%

1-1

15%

X-2

14%

X-1

12%

1-X

6%

2-X

5%

1-2

3%

2-1

2%

Correct Score

1-1

11.8%

0-1

9.6%

1-2

8.6%

1-0

8.4%

2-1

7.7%

0-0

7.0%

0-2

7.0%

2-2

5.5%

2-0

4.7%

1-3

4.1%

0-3

3.8%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

This match is finished — the model has already priced the next one: Vissel Kobe – Mito Hollyhock prediction & betting tips (Nov 20, 2026).

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