Suwon City FC vs Jeju United FC: result 2-5 and analysis
K League 1Regular Season - 9Kick-off on May 7, 2016 at 05:00 AM (UTC)Suwon Sports Complex, Suwon
Full time
What was the result of Suwon City FC vs Jeju United FC?
Jeju United FC won 2-5 on May 7, 2016.
Goalscorers
- 12′M. OgunjimiSuwon City FC
- 32′Vladan AdžićJeju United FC (o.g.)
- 34′Marcelo ToscanoJeju United FC
- 45′Marcelo ToscanoJeju United FC
- 54′34316Suwon City FC
- 61′Song Jin-HyungJeju United FC
- 83′Kwon Soon-HyungJeju United FC
What is the recent form of both teams?
Over their last 8 matches in all competitions, Suwon City FC have 1 wins, 5 draws and 2 defeats; Jeju United FC have 3, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Jeonbuk Motors(away) | 1-3 | K League 1 |
| Apr 23, 2016 | Incheon United(home) | 0-0 | K League 1 |
| Apr 16, 2016 | FC Seoul(away) | 0-3 | K League 1 |
| Apr 13, 2016 | Ulsan Hyundai FC(home) | 1-1 | K League 1 |
| Apr 9, 2016 | Gimcheon Sangmu FC(away) | 1-1 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Pohang Steelers(away) | 0-1 | K League 1 |
| Apr 23, 2016 | Seongnam FC(home) | 2-2 | K League 1 |
| Apr 17, 2016 | Ulsan Hyundai FC(away) | 1-0 | K League 1 |
| Apr 13, 2016 | Gimcheon Sangmu FC(home) | 4-2 | K League 1 |
| Apr 10, 2016 | Suwon Bluewings(home) | 2-2 | K League 1 |
How many goals should we expect?
Suwon City FC score 0.8 and concede 1.3 goals per match over their last 8; Jeju United FC score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Suwon City FC | 0.8 | 1.3 | 2 | 5/8 | 3/8 |
| Jeju United FC | 1.6 | 1.4 | 1 | 5/8 | 5/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Jeju United FC | 24 | 9 | 8 | 7 | 27 | 24 | 35 |
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