Jeonbuk Motors vs Seongnam FC: result 3-2 and analysis
K League 1Regular Season - 6Kick-off on April 16, 2016 at 06:00 AM (UTC)Jeonju World Cup Stadium, Jeonju
Full time
What was the result of Jeonbuk Motors vs Seongnam FC?
Jeonbuk Motors won 3-2 on April 16, 2016.
Goalscorers
- 13′Ricardo LopesJeonbuk Motors
- 55′Jae-Cheol JoSeongnam FC
- 69′LeonardoJeonbuk Motors
- 76′Tiago AlvesSeongnam FC
- 86′Kim Bo-KyungJeonbuk Motors
What is the recent form of both teams?
Over their last 9 matches in all competitions, Jeonbuk Motors have 4 wins, 3 draws and 2 defeats; Seongnam FC have 3, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2016 | Incheon United(home) | 1-1 | K League 1 |
| Apr 10, 2016 | Pohang Steelers(away) | 1-1 | K League 1 |
| Apr 6, 2016 | Binh Duong(away) | 2-3 | AFC Champions League Elite |
| Apr 2, 2016 | Jeju United FC(home) | 2-1 | K League 1 |
| Mar 20, 2016 | Ulsan Hyundai FC(away) | 0-0 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2016 | Jeonnam Dragons(home) | 0-0 | K League 1 |
| Apr 9, 2016 | Incheon United(away) | 3-2 | K League 1 |
| Apr 2, 2016 | Pohang Steelers(home) | 1-0 | K League 1 |
| Mar 19, 2016 | Suwon City FC(away) | 1-1 | K League 1 |
| Mar 12, 2016 | Suwon Bluewings(home) | 2-0 | K League 1 |
How many goals should we expect?
Jeonbuk Motors score 1.4 and concede 1.1 goals per match over their last 9; Seongnam FC score 1.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jeonbuk Motors | 1.4 | 1.1 | 3 | 6/9 | 4/9 |
| Seongnam FC | 1.4 | 0.6 | 3 | 2/5 | 1/5 |
Over the last 9 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