J1 League (Japan), round 10 · Saturday, 17 October, MSK

Kashiwa Reysol — Nagoya Grampus

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Model prediction for 17 October

Kashiwa Reysol56%
Draw25%
Nagoya Grampus18%
Model estimate at MSK

In short

Kashiwa Reysol are clear favourites: 56% against 18% for the opponent, draw 25%.

2.8 goals expected in total — close to the competition average (2.6).

Over 2.5 goals — 53%, both teams to score — 56%.

Why

  • By the strength ratings Kashiwa Reysol are about 0.3 goals per match stronger.

Facts

  • League table: Kashiwa Reysol — No. 1, 21 pts; Nagoya Grampus — No. 15, 9 pts. A gap of 12 pts.
  • Kashiwa Reysol: 3 wins in a row.
  • Last 5 meetings: Kashiwa Reysol 2 wins, Nagoya Grampus 2, 1 draw.
  • Days of rest before the match: Kashiwa Reysol 8, Nagoya Grampus 6.

Probabilities

Expected goals: Kashiwa Reysol — Nagoya Grampus What is xG?1.8–1.0
Kashiwa Reysol not to lose82%
Nagoya Grampus not to lose44%
No draw75%
Both teams to score: yes56%
Both teams to score: no44%
Total over 2.553%
Total under 2.547%

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Form

Kashiwa Reysol

  • 09.10Vissel Kobe4:2
  • 20.09away · Machida Zelvia4:2
  • 11.09away · Kyoto Sanga FC3:2
  • 06.09Yokohama F.Marinos0:2
  • 02.09away · Cerezo Osaka0:2

Nagoya Grampus

  • 11.10away · Kawasaki Frontale2:1
  • 19.09away · FC Tokyo0:1
  • 12.09away · V-Varen Nagasaki0:2
  • 06.09Machida Zelvia1:3
  • 02.09away · Sanfrecce Hiroshima0:3

Head to head

  • 08.11.2025Kashiwa Reysol — Nagoya Grampus1:0
  • 29.04.2025Nagoya Grampus — Kashiwa Reysol1:2
  • 14.07.2024Nagoya Grampus — Kashiwa Reysol2:1
  • 16.03.2024Kashiwa Reysol — Nagoya Grampus0:2
  • 03.12.2023Nagoya Grampus — Kashiwa Reysol1:1

Full record: 6 meetings →

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
1Kashiwa Reysol970221–14+721
2Sanfrecce Hiroshima962122–6+1620
14V-Varen Nagasaki923411–16-59
15Nagoya Grampus93069–15-69
16Kyoto Sanga FC922511–16-58

Season 2026/27

Full table

J1 League on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 56% will not happen in roughly 44 matches out of 100. How to read probabilities →