Daegu FC vs FC Seoul: result 2-2 and analysis
K League 1Regular Season - 15Kick-off on July 8, 2018 at 10:00 AM (UTC)DGB Arena, Daegu
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What was the result of Daegu FC vs FC Seoul?
Daegu FC and FC Seoul drew 2-2 on July 8, 2018.
Goalscorers
- 12′Cho Young-WookFC Seoul
- 18′Anderson LopesFC Seoul
- 37′EdgarDaegu FC
- 45′CesinhaDaegu FC (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Daegu FC have 2 wins, 4 draws and 9 defeats; FC Seoul have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Jeonnam Dragons(away) | 1-1 | K League 1 |
| May 13, 2018 | Suwon Bluewings(away) | 0-2 | K League 1 |
| May 5, 2018 | Gyeongnam FC(home) | 0-2 | K League 1 |
| May 2, 2018 | Jeonbuk Motors(away) | 1-2 | K League 1 |
| Apr 28, 2018 | Jeju United FC(home) | 1-4 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | Jeonbuk Motors(home) | 0-4 | K League 1 |
| May 12, 2018 | Gangwon FC(away) | 1-1 | K League 1 |
| May 5, 2018 | Suwon Bluewings(home) | 2-1 | K League 1 |
| May 2, 2018 | Gyeongnam FC(away) | 0-0 | K League 1 |
| Apr 28, 2018 | Gimcheon Sangmu FC(home) | 0-0 | K League 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Daegu FC win(s), 0 draw(s), 1 FC Seoul win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2018 | FC Seoul 3-0 Daegu FC | K League 1 |
How many goals should we expect?
Daegu FC score 0.6 and concede 1.7 goals per match over their last 15; FC Seoul score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Daegu FC | 0.6 | 1.7 | 2 | 7/15 | 6/15 |
| FC Seoul | 0.9 | 1.0 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Seoul | 24 | 15 | 5 | 4 | 46 | 19 | 50 |
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