Kyoto Sanga vs Sagan Tosu: result 2-1 and analysis
J-League CupGroup Stage - 2Kick-off on March 2, 2022 at 09:30 AM (UTC)Sanga Stadium by Kyocera, Kameoka
Full time
What was the result of Kyoto Sanga vs Sagan Tosu?
Kyoto Sanga won 2-1 on March 2, 2022.
Goalscorers
- 37′F. YamadaKyoto Sanga
- 75′Y. ToyokawaKyoto Sanga
- 86′S. ArakiSagan Tosu
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyoto Sanga have 6 wins, 7 draws and 2 defeats; Sagan Tosu have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2022 | Cerezo Osaka(away) | 1-1 | J1 League |
| Feb 23, 2022 | Kashiwa Reysol(home) | 1-1 | J-League Cup |
| Feb 19, 2022 | Urawa(home) | 1-0 | J1 League |
| Dec 5, 2021 | Kanazawa(home) | 0-0 | J2 League |
| Nov 28, 2021 | JEF United Chiba(away) | 0-0 | J2 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2022 | Shonan Bellmare(home) | 1-1 | J1 League |
| Feb 23, 2022 | Consadole Sapporo(home) | 2-2 | J-League Cup |
| Feb 19, 2022 | Sanfrecce Hiroshima(away) | 0-0 | J1 League |
| Dec 4, 2021 | Vissel Kobe(home) | 0-2 | J1 League |
| Nov 27, 2021 | Kashima(away) | 0-1 | J1 League |
How many goals should we expect?
Kyoto Sanga score 0.9 and concede 0.6 goals per match over their last 15; Sagan Tosu score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyoto Sanga | 0.9 | 0.6 | 7 | 6/15 | 2/15 |
| Sagan Tosu | 0.7 | 1.1 | 5 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kyoto Sanga sit 3rd in J-League Cup (9 points from 6 matches) and Sagan Tosu sit 4th (4 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kyoto Sanga | 6 | 3 | 0 | 3 | 9 | 11 | 9 |
| 4 | Sagan Tosu | 6 | 1 | 1 | 4 | 4 | 15 | 4 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy