Gimcheon Sangmu FC vs Seongnam FC: result 2-3 and analysis
K League 1Regular Season - 11Kick-off on May 21, 2016 at 05:00 AM (UTC)Gimcheon Stadium, Gimcheon
Full time
What was the result of Gimcheon Sangmu FC vs Seongnam FC?
Seongnam FC won 2-3 on May 21, 2016.
Goalscorers
- 10′Lim Sang-HyubGimcheon Sangmu FC
- 19′Tiago AlvesSeongnam FC
- 32′Tiago AlvesSeongnam FC
- 48′Young-Cheol ChoGimcheon Sangmu FC
- 57′Lee Woong-HeeSeongnam FC (o.g.)
What is the recent form of both teams?
Over their last 10 matches in all competitions, Gimcheon Sangmu FC have 4 wins, 2 draws and 4 defeats; Seongnam FC have 5, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | Incheon United(home) | 4-2 | K League 1 |
| May 5, 2016 | Gwangju FC(away) | 0-1 | K League 1 |
| May 1, 2016 | Jeonnam Dragons(away) | 4-3 | K League 1 |
| Apr 24, 2016 | Jeonbuk Motors(home) | 2-2 | K League 1 |
| Apr 16, 2016 | Pohang Steelers(home) | 2-0 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | FC Seoul(home) | 2-3 | K League 1 |
| May 5, 2016 | Ulsan Hyundai FC(away) | 3-0 | K League 1 |
| May 1, 2016 | Gwangju FC(home) | 2-0 | K League 1 |
| Apr 23, 2016 | Jeju United FC(away) | 2-2 | K League 1 |
| Apr 16, 2016 | Jeonbuk Motors(away) | 2-3 | K League 1 |
How many goals should we expect?
Gimcheon Sangmu FC score 1.8 and concede 1.9 goals per match over their last 10; Seongnam FC score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gimcheon Sangmu FC | 1.8 | 1.9 | 2 | 6/10 | 6/10 |
| Seongnam FC | 1.8 | 1.1 | 5 | 5/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Gimcheon Sangmu FC | 24 | 4 | 14 | 6 | 23 | 29 | 26 |
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