Suwon Bluewings vs Jeonbuk Motors: result 2-3 and analysis
K League 1Regular Season - 9Kick-off on May 8, 2016 at 08:00 AM (UTC)Suwon World Cup Stadium, Suwon
Full time
What was the result of Suwon Bluewings vs Jeonbuk Motors?
Jeonbuk Motors won 2-3 on May 8, 2016.
Goalscorers
- 15′Ku Ja-RyongSuwon Bluewings
- 47′Han Kyo-WonJeonbuk Motors
- 55′Luiz Henrique da Silva AlvesJeonbuk Motors
- 88′Lee Dong-GookJeonbuk Motors
- 90′Yeom Ki-HunSuwon Bluewings
What is the recent form of both teams?
Over their last 14 matches in all competitions, Suwon Bluewings have 3 wins, 9 draws and 2 defeats; Jeonbuk Motors have 7, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2016 | SHANGHAI SIPG(home) | 3-0 | AFC Champions League Elite |
| Apr 30, 2016 | FC Seoul(home) | 1-1 | K League 1 |
| Apr 24, 2016 | Gwangju FC(away) | 1-1 | K League 1 |
| Apr 19, 2016 | Gamba Osaka(away) | 2-1 | AFC Champions League Elite |
| Apr 16, 2016 | Incheon United(away) | 1-1 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2016 | Jiangsu Suning(home) | 2-2 | AFC Champions League Elite |
| Apr 30, 2016 | Suwon City FC(home) | 3-1 | K League 1 |
| Apr 24, 2016 | Gimcheon Sangmu FC(away) | 2-2 | K League 1 |
| Apr 20, 2016 | FC Tokyo(away) | 3-0 | AFC Champions League Elite |
| Apr 16, 2016 | Seongnam FC(home) | 3-2 | K League 1 |
How many goals should we expect?
Suwon Bluewings score 1.2 and concede 1.1 goals per match over their last 14; Jeonbuk Motors score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Suwon Bluewings | 1.2 | 1.1 | 3 | 10/14 | 6/14 |
| Jeonbuk Motors | 1.9 | 1.2 | 4 | 10/14 | 9/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Jeonbuk Motors | 24 | 10 | 7 | 7 | 31 | 22 | 37 |
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