Asan Mugunghwa vs Daegu FC: result 0-2 and analysis
K League 2Regular Season - 9Kick-off on May 8, 2016 at 06:00 AM (UTC)Yishunsin Stadium, Asan
Full time
What was the result of Asan Mugunghwa vs Daegu FC?
Daegu FC won 0-2 on May 8, 2016.
Goalscorers
- 47′ÉderDaegu FC
- 52′Paulo SérgioDaegu FC
What is the recent form of both teams?
Over their last 8 matches in all competitions, Asan Mugunghwa have 6 wins, 0 draws and 2 defeats; Daegu FC have 4, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2016 | Bucheon FC 1995(away) | 1-3 | K League 2 |
| Apr 30, 2016 | Seoul E-Land FC(home) | 1-0 | K League 2 |
| Apr 24, 2016 | Gyeongnam FC(home) | 5-0 | K League 2 |
| Apr 16, 2016 | Chungju Hummel(home) | 2-1 | K League 2 |
| Apr 13, 2016 | Gangwon FC(away) | 0-2 | K League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2016 | Busan I Park(home) | 1-0 | K League 2 |
| May 1, 2016 | Chungju Hummel(home) | 2-1 | K League 2 |
| Apr 23, 2016 | Bucheon FC 1995(away) | 0-0 | K League 2 |
| Apr 18, 2016 | FC Anyang(home) | 1-1 | K League 2 |
| Apr 13, 2016 | Goyang Hi FC(away) | 3-1 | K League 2 |
How many goals should we expect?
Asan Mugunghwa score 1.8 and concede 0.9 goals per match over their last 8; Daegu FC score 1.3 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asan Mugunghwa | 1.8 | 0.9 | 4 | 3/8 | 4/8 |
| Daegu FC | 1.3 | 0.4 | 4 | 3/7 | 2/7 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Asan Mugunghwa sit 7th in K League 2 (31 points from 22 matches) and Daegu FC sit 4th (39 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Daegu FC | 22 | 11 | 6 | 5 | 42 | 31 | 39 |
| 7 | Asan Mugunghwa | 22 | 8 | 7 | 7 | 31 | 27 | 31 |
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