Vissel Kobe vs Jeonbuk Motors: result 1-3 and analysis
AFC Champions League EliteQuarter-finalsKick-off on August 22, 2022 at 07:00 AM (UTC)Saitama Stadium 2002, Saitama
Full time
What was the result of Vissel Kobe vs Jeonbuk Motors?
Jeonbuk Motors won 1-3 on August 22, 2022.
Goalscorers
- 64′K. YurukiVissel Kobe
- 66′Modou BarrowJeonbuk Motors
- 104′GustavoJeonbuk Motors
- 120′Moon Seon-MinJeonbuk Motors
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vissel Kobe have 8 wins, 1 draws and 6 defeats; Jeonbuk Motors have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2022 | Yokohama F. Marinos(home) | 3-2 | AFC Champions League Elite |
| Aug 13, 2022 | Consadole Sapporo(away) | 2-0 | J1 League |
| Aug 10, 2022 | Avispa Fukuoka(away) | 0-1 | J-League Cup |
| Aug 6, 2022 | Cerezo Osaka(away) | 0-3 | J1 League |
| Aug 3, 2022 | Avispa Fukuoka(home) | 1-2 | J-League Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2022 | Daegu FC(away) | 2-1 | AFC Champions League Elite |
| Aug 13, 2022 | Incheon United(away) | 1-3 | K League 1 |
| Aug 10, 2022 | Suwon City FC(away) | 1-0 | K League 1 |
| Aug 7, 2022 | Ulsan Hyundai FC(home) | 1-1 | K League 1 |
| Aug 3, 2022 | Gangwon FC(away) | 1-2 | K League 1 |
How many goals should we expect?
Vissel Kobe score 1.3 and concede 1.3 goals per match over their last 15; Jeonbuk Motors score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vissel Kobe | 1.3 | 1.3 | 3 | 8/15 | 8/15 |
| Jeonbuk Motors | 1.6 | 1.1 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Vissel Kobe | 8 | 5 | 1 | 2 | 14 | 7 | 16 |
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