J1 League (Japan), round 11 · Wednesday, 21 October, MSK

V-Varen Nagasaki — Sanfrecce Hiroshima

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Model prediction for 21 October

V-Varen Nagasaki14%
Draw22%
Sanfrecce Hiroshima64%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Sanfrecce Hiroshima are clear favourites: 64% against 14% for the opponent, draw 22%.

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

Over 2.5 goals — 52%, both teams to score — 50%.

Why

  • By the strength ratings Sanfrecce Hiroshima are about 1.0 goals per match stronger.

Facts

  • League table: V-Varen Nagasaki — No. 14, 9 pts; Sanfrecce Hiroshima — No. 2, 20 pts. A gap of 11 pts.
  • Sanfrecce Hiroshima: 3 wins in a row.
  • Last 2 meetings: V-Varen Nagasaki 0 wins, Sanfrecce Hiroshima 2.

Probabilities

Expected goals: V-Varen Nagasaki — Sanfrecce Hiroshima What is xG?0.8–2.0
V-Varen Nagasaki not to lose36%
Sanfrecce Hiroshima not to lose86%
No draw78%
Both teams to score: yes50%
Both teams to score: no50%
Total over 2.552%
Total under 2.548%

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Form

V-Varen Nagasaki

  • 11.10away · JEF United Chiba1:1
  • 19.09Cerezo Osaka1:1
  • 12.09Nagoya Grampus2:0
  • 06.09away · Vissel Kobe1:3
  • 02.09Gamba Osaka2:2

Sanfrecce Hiroshima

  • 11.10away · Tokyo Verdy2:0
  • 19.09away · Avispa Fukuoka1:0
  • 12.09Cerezo Osaka6:1
  • 06.09away · Fagiano Okayama FC2:3
  • 02.09Nagoya Grampus3:0

Head to head

  • 18.04.2026Sanfrecce Hiroshima — V-Varen Nagasaki2:0
  • 06.02.2026V-Varen Nagasaki — Sanfrecce Hiroshima1:3

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
1Kashiwa Reysol970221–14+721
2Sanfrecce Hiroshima962122–6+1620
3Machida Zelvia962122–10+1220
13Mito Hollyhock923412–13-19
14V-Varen Nagasaki923411–16-59
15Nagoya Grampus93069–15-69

Season 2026/27

Full table

J1 League on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 64% will not happen in roughly 36 matches out of 100. How to read probabilities →