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

Sanfrecce Hiroshima — Kyoto Sanga FC

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Model prediction for 17 October

Sanfrecce Hiroshima75%
Draw17%
Kyoto Sanga FC8%
Model estimate at MSK

In short

Sanfrecce Hiroshima are clear favourites: 75% against 8% for the opponent, draw 17%.

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

Over 2.5 goals — 55%, both teams to score — 48%.

Why

  • By the strength ratings Sanfrecce Hiroshima are about 1.2 goals per match stronger.

Facts

  • League table: Sanfrecce Hiroshima — No. 2, 20 pts; Kyoto Sanga FC — No. 16, 8 pts. A gap of 12 pts.
  • Sanfrecce Hiroshima: 3 wins in a row.
  • Last 5 meetings: Sanfrecce Hiroshima 1 win, Kyoto Sanga FC 3, 1 draw.

Probabilities

Expected goals: Sanfrecce Hiroshima — Kyoto Sanga FC What is xG?2.2–0.7
Sanfrecce Hiroshima not to lose92%
Kyoto Sanga FC not to lose25%
No draw83%
Both teams to score: yes48%
Both teams to score: no52%
Total over 2.555%
Total under 2.545%

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Form

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

Kyoto Sanga FC

  • 10.10Machida Zelvia0:1
  • 19.09away · Fagiano Okayama FC2:1
  • 11.09Kashiwa Reysol2:3
  • 06.09away · FC Tokyo0:2
  • 02.09away · Yokohama F.Marinos1:1

Head to head

  • 17.05.2026Kyoto Sanga FC — Sanfrecce Hiroshima0:4
  • 27.02.2026Sanfrecce Hiroshima — Kyoto Sanga FC1:2
  • 12.09.2025Sanfrecce Hiroshima — Kyoto Sanga FC1:1
  • 29.03.2025Kyoto Sanga FC — Sanfrecce Hiroshima1:0
  • 03.11.2024Sanfrecce Hiroshima — Kyoto Sanga FC0:1

Full record: 8 meetings →

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
1Kashiwa Reysol970221–14+721
2Sanfrecce Hiroshima962122–6+1620
3Machida Zelvia962122–10+1220
15Nagoya Grampus93069–15-69
16Kyoto Sanga FC922511–16-58
17Avispa Fukuoka921611–13-27

Season 2026/27

Full table

J1 League on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 75% will not happen in roughly 25 matches out of 100. How to read probabilities →