Gamba Osaka vs Kyoto Sanga Prediction
Japan · Regular Season - 12
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Gamba Osaka vs Kyoto Sanga: result, form and history
Gamba Osaka and Kyoto Sanga drew 2-2 in the J1 League on 24 Oct 2026. The two went into the match with similar recent form.
Their 10 previous meetings averaged 2.4 goals, with both teams scoring in 6 of them. Referee Koichiro Fukushima averages 1.36 cards a game, 1.22 fewer than other referees in the same competitions.
Match Forecasts
Match Events
Lineups
Gamba Osaka
Avg ratingAvg rating
22J. Ichimori
15T. Kishimoto
4S. Nakatani
2S. Fukuoka
47S. Nakano
16T. Suzuki
27R. Mito
17R. Yamashita
7T. Usami
39K. Sumi
11I. Jebali
90Halls
43Weverton
50Y. Suzuki
15K. Nagata
40Y. Ishida
10S. Fukuoka
24H. Morooka
44K. Sato
48R. Nakano
77H. Arai
17A. NeguebaGamba Osaka Substitutes
Kyoto Sanga Substitutes
Match Stats
Gamba OsakaKyoto Sanga Team Comparison
Gamba OsakaKyoto SangaAI Insights
Game State Tendencies
Gamba Osaka- Tied at half-time in 60% of matches
- Comeback tendency: recovers from HT deficit 50% of the time
- Scores more in 2nd half (1.4 vs 0.4 in first half)
- Concedes more in 1st half - tightens up after the break
Kyoto Sanga- Tied at half-time in 80% of matches
- Concedes more in 2nd half - can tire late
Head to Head
Last 10 meetings, all competitions
Gamba Osaka4Wins · 40%3Wins · 30%Previous meetings
29/04/2026Kyoto SangaGamba Osaka04/04/2026Gamba OsakaKyoto Sanga28/06/2025Kyoto SangaGamba Osaka29/04/2025Gamba OsakaKyoto Sanga22/09/2024Kyoto SangaGamba Osaka03/04/2024Gamba OsakaKyoto Sanga08/07/2023Gamba OsakaKyoto Sanga
24/05/2023Gamba OsakaKyoto Sanga15/04/2023Kyoto SangaGamba Osaka08/03/2023Kyoto SangaGamba OsakaRecent Form
Gamba Osaka
Avispa FukuokaGamba Osaka
Shimizu S-pulseGamba Osaka
Newcastle JetsGamba Osaka
KashimaGamba Osaka
Kashiwa ReysolGamba OsakaGamba Osaka
Tokushima VortisGamba Osaka
Vissel KobeGamba Osaka
Công An Nhân DânGamba Osaka
FC Tokyo
JEF United ChibaGamba OsakaKyoto SangaKyoto SangaKashima
Sanfrecce HiroshimaKyoto SangaKyoto Sanga
RatchaburiKyoto Sanga
Machida ZelviaMachida ZelviaKyoto SangaKyoto Sanga
Fujieda MYFC
Fagiano OkayamaKyoto Sanga
Daejeon CitizenKyoto SangaKyoto SangaKashiwa ReysolFC TokyoKyoto SangaReferee Profile
Compared with other referees
1.36 cards a match, 1.22 fewer than other referees in the same competitions and seasons (2.58).
Cards come from 123 matches with official statistics.
Full referee statsLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Machida Zelvia | 12 | 8 | 3 | 1 | 30:10 | +20 | 27 | DWWWL |
| 2 | FC Tokyo | 12 | 8 | 3 | 1 | 27:8 | +19 | 27 | WDWWW |
| 3 | Sanfrecce Hiroshima | 12 | 8 | 2 | 2 | 29:10 | +19 | 26 | WLWWW |
| 4 | Kashiwa Reysol | 12 | 8 | 1 | 3 | 25:19 | +6 | 25 | WDLWW |
| 5 | Vissel Kobe | 12 | 7 | 2 | 3 | 18:11 | +7 | 23 | DLWLW |
| 6 |  Kawasaki Frontale | 12 | 6 | 4 | 2 | 25:18 | +7 | 22 | WWWLD |
| 7 |  Urawa | 12 | 7 | 0 | 5 | 21:23 | -2 | 21 | WWWLW |
| 8 | Kashima | 12 | 6 | 2 | 4 | 25:21 | +4 | 20 | LDWWD |
| 9 |  Yokohama F. Marinos | 12 | 4 | 6 | 2 | 16:12 | +4 | 18 | DDDDW |
| 10 | Fagiano Okayama | 12 | 5 | 1 | 6 | 15:17 | -2 | 16 | LWLLL |
| 11 |  Nagoya Grampus | 12 | 4 | 2 | 6 | 14:18 | -4 | 14 | DDWWL |
| 12 |  Cerezo Osaka | 12 | 3 | 5 | 4 | 12:19 | -7 | 14 | DDLDD |
| 13 | Shimizu S-pulse | 12 | 4 | 2 | 6 | 10:20 | -10 | 14 | LLDWW |
| 14 |  V-varen Nagasaki | 12 | 3 | 3 | 6 | 15:19 | -4 | 12 | LWLDD |
| 15 | Gamba Osaka | 12 | 2 | 5 | 5 | 14:21 | -7 | 11 | DWDLL |
| 16 | Kyoto Sanga | 12 | 2 | 4 | 6 | 15:23 | -8 | 10 | DDLLW |
| 17 |  Mito Hollyhock | 12 | 2 | 3 | 7 | 12:22 | -10 | 9 | LLLLL |
| 18 |  Tokyo Verdy | 12 | 1 | 5 | 6 | 9:21 | -12 | 8 | WDLLL |
| 19 | Avispa Fukuoka | 12 | 2 | 1 | 9 | 13:21 | -8 | 7 | LLLWL |
| 20 | JEF United Chiba | 12 | 1 | 4 | 7 | 12:24 | -12 | 7 | DLDDL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | Machida Zelvia | 12 | 30:10 | 27 |
| 2 | FC Tokyo | 12 | 27:8 | 27 |
| 3 | Sanfrecce Hiroshima | 12 | 29:10 | 26 |
| 4 | Kashiwa Reysol | 12 | 25:19 | 25 |
| 5 | Vissel Kobe | 12 | 18:11 | 23 |
| 6 | Kawasaki Frontale | 12 | 25:18 | 22 |
| 7 | Urawa | 12 | 21:23 | 21 |
| 8 | Kashima | 12 | 25:21 | 20 |
| 9 | Yokohama F. Marinos | 12 | 16:12 | 18 |
| 10 | Fagiano Okayama | 12 | 15:17 | 16 |
| 11 | Nagoya Grampus | 12 | 14:18 | 14 |
| 12 | Cerezo Osaka | 12 | 12:19 | 14 |
| 13 | Shimizu S-pulse | 12 | 10:20 | 14 |
| 14 | V-varen Nagasaki | 12 | 15:19 | 12 |
| 15 | Gamba Osaka | 12 | 14:21 | 11 |
| 16 | Kyoto Sanga | 12 | 15:23 | 10 |
| 17 | Mito Hollyhock | 12 | 12:22 | 9 |
| 18 | Tokyo Verdy | 12 | 9:21 | 8 |
| 19 | Avispa Fukuoka | 12 | 13:21 | 7 |
| 20 | JEF United Chiba | 12 | 12:24 | 7 |
Explore more predictions
This match
More J1 League matches
- Urawa vs JEF United Chiba 21/10/26
- Sanfrecce Hiroshima vs Shimizu S-pulse 24/10/26
- Kashima vs Kashiwa Reysol 24/10/26
- Tokyo Verdy vs Avispa Fukuoka 24/10/26
- Nagoya Grampus vs Yokohama F. Marinos 25/10/26
- Cerezo Osaka vs JEF United Chiba 25/10/26
- Urawa vs V-varen Nagasaki 25/10/26
- FC Tokyo vs Mito Hollyhock 25/10/26
About the Gamba Osaka vs Kyoto Sanga forecast
Every forecast on this page comes from the same model inputs: team ratings, recent form, goals scored and conceded, and how these sides have fared against each other.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
Gamba Osaka and Kyoto Sanga in the J1 League table
Gamba Osaka and Kyoto Sanga are close in the J1 League table, 15th and 16th, with 1 point between them. League goal record so far: Gamba Osaka 14-21, Kyoto Sanga 15-23. The full standings are on the J1 League Table 2027 page.
Key Factors for This Match
This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.