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J1 League · 2026-10-31

Vissel Kobe vs Nagoya Grampus stat: vissel kobe at home meet nagoya grampus on the road

Vissel Kobe at home meet Nagoya Grampus on the road. Goals by half, venue form and the pressure behind the total.

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If you are looking for Vissel Kobe vs Nagoya Grampus predictions, my current preference is over 1.5 match goals. For this pairing I want a total that fits the way the sides actually score at these venues. A stronger badge or a familiar league position cannot replace the attack-versus-allowance comparison. Vissel Kobe at home meet Nagoya Grampus on the road.

Prediction Vissel Kobe vs Nagoya Grampus

Over 1.5 match goals — The relevant venue comparison is 2.53 total goals; 8/11 distinct sampled games support this line.

Over 0.5 second-half goals — At least one goal in 10/11 recorded relevant games.

Goals: the argument behind the line

For this free betting tips assessment, Vissel Kobe bring 1.50 scored / 0.92 conceded per league game from 12 recorded matches. Nagoya Grampus have 1.18 scored / 1.55 conceded from 11. Those averages describe different opponents; I do not add the four columns together and call the result an expected score.

Goals — averages per match
For
Vissel Kobe1.50
Nagoya Grampus1.18
Against
Vissel Kobe0.92
Nagoya Grampus1.55

Vissel Kobe: 12 matches · Nagoya Grampus: 11 matches. Same scale for both teams; recorded samples, not probabilities.

Home and away: the relevant comparison

At home, Vissel Kobe score 1.60 and allow 0.80 per match (5 games). Away, Nagoya Grampus score 1.00 and concede 1.67 (6). Averaging each attack with the opposing allowance and combining the two sides yields 2.53 goals as a descriptive comparison.

The proposed over 1.5 held in 8/11 distinct venue-sample games. That is a historical count, not a calibrated probability. The caution for an over is that Nagoya Grampus supply the weaker attacking contribution at the relevant venue; a high combined total can otherwise disguise a one-sided scoring pattern.

First-half and second-half goals

The full-match total and the busier half are different questions. I check the interval score before giving the closing period more weight.

The first half averages 1.00 goals, against 1.55 in the second half, across 11 matched records. More goals came before the interval in 2, after it in 5, while 4 had equal totals. Goalless games remain in the equal category.

The later scoring is the more useful angle here: it gives a reason to consider the second-half market rather than merely raising the full-match line.

At least one first-half goal occurred in 6/11 games. I would keep this as context rather than force it into the final selections.

At least one second-half goal occurred in 10/11 games. That is sufficient historical support for my more cautious half-total angle.

Handicap and both teams to score

Both sides scored in 6/11 venue-sample games. The descriptive attack-versus-defence margin is 0.73 towards Vissel Kobe. That does not support demanding a large winning margin. I prefer the goal-total argument to a negative handicap.

Corners

Nagoya Grampus have the higher corner production, but the allowance column decides whether that pressure is likely to meet resistance. I would not use a goals view as a substitute for this check.

Corners — averages per match
For
Vissel Kobe4.25
Nagoya Grampus4.73
Against
Vissel Kobe4.58
Nagoya Grampus3.91

Vissel Kobe: 12 matches · Nagoya Grampus: 11 matches. Same scale for both teams; recorded samples, not probabilities.

Vissel Kobe: 4.25 for / 4.58 against, from 12 reports. Nagoya Grampus: 4.73 for / 3.91 against, from 11. The two columns are kept separate so attacking output is not mistaken for the entire match total.

I do not see enough agreement between the line and the recorded frequency to make this an additional final selection.

Shots on target

The more accurate attack in this sample is Vissel Kobe. The useful next question is what each defence allows on target, rather than who has the larger share of possession.

Shots on target — averages per match
For
Vissel Kobe4.50
Nagoya Grampus3.73
Against
Vissel Kobe3.50
Nagoya Grampus4.45

Vissel Kobe: 12 matches · Nagoya Grampus: 11 matches. Same scale for both teams; recorded samples, not probabilities.

Vissel Kobe: 4.50 for / 3.50 against, from 12 reports. Nagoya Grampus: 3.73 for / 4.45 against, from 11. The two columns are kept separate so attacking output is not mistaken for the entire match total.

I do not see enough agreement between the line and the recorded frequency to make this an additional final selection.

Vissel Kobe: 5.00 missed attempts per game, n=1. Shots off target provide finishing context; I do not convert them into hypothetical future shots on target or subtract accurate attempts from total shots to manufacture a missed-shot figure.

Yellow cards

Nagoya Grampus receive more bookings per game in the available reports. That is a discipline observation; it does not establish that both sides will be booked equally or that every foul becomes a card.

Yellow cards — averages per match
Received
Vissel Kobe0.64
Nagoya Grampus1.18
Opponents received
Vissel Kobe2.18
Nagoya Grampus2.09

Vissel Kobe: 11 matches · Nagoya Grampus: 11 matches. Same scale for both teams; recorded samples, not probabilities.

Vissel Kobe: 0.64 for / 2.18 against, from 11 reports. Nagoya Grampus: 1.18 for / 2.09 against, from 11. For cards, the second column means opposition cards received.

The observed over 1.5 threshold held in 20/22 records. I retain that as statistical context; my final selections for this competition stay with goals and timing rather than assume a corner, shooting or booking market is offered.

Vissel Kobe commit 8.67 fouls per game from 12 reports; Nagoya Grampus commit 10.45 fouls per game from 11 reports. A verified appointment and season sample for this fixture’s referee are not yet included. I have applied no numerical referee adjustment; an official assignment must be checked before this angle is refreshed.

Head-to-head: the previous official meetings

A verified previous meeting for this pair is not present in the collected dataset. I do not replace it with another opponent or an unconfirmed score; the argument rests on the explicitly stated league and venue samples.

The statistical window and the next update

This j1 league predictions analysis uses collected 2026 league matches from 2026-08-08 to 2026-10-24 for these teams, with separate counts for each metric. The latest league round and any intervening official game must be checked before the target fixture. The selected line is an editorial interpretation of that dated evidence, not a claim to have included a result played after the cutoff.