Jeonnam Dragons vs Daejeon Citizen: result 1-3 and analysis
K League 2Regular Season - 2Kick-off on March 10, 2019 at 06:00 AM (UTC)Gwangyang Stadium, Gwangyang
Full time
What was the result of Jeonnam Dragons vs Daejeon Citizen?
Daejeon Citizen won 1-3 on March 10, 2019.
Goalscorers
- 22′Lee Zi-SolDaejeon Citizen
- 33′In-Hyeok ParkDaejeon Citizen
- 40′In-Hyeok ParkDaejeon Citizen
- 90′Bruno NunesJeonnam Dragons
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jeonnam Dragons have 4 wins, 1 draw and 10 defeats; Daejeon Citizen have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Asan Mugunghwa(home) | 0-3 | K League 2 |
| Dec 1, 2018 | Incheon United(away) | 1-3 | K League 1 |
| Nov 24, 2018 | Daegu FC(home) | 1-2 | K League 1 |
| Nov 11, 2018 | FC Seoul(away) | 2-3 | K League 1 |
| Nov 4, 2018 | Gangwon FC(away) | 0-1 | K League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Ansan Greeners(away) | 2-1 | K League 2 |
| Dec 1, 2018 | Busan I Park(away) | 0-3 | K League 2 |
| Nov 28, 2018 | Gwangju FC(home) | 1-0 | K League 2 |
| Nov 11, 2018 | FC Anyang(home) | 2-2 | K League 2 |
| Nov 3, 2018 | Bucheon FC 1995(home) | 3-0 | K League 2 |
How many goals should we expect?
Jeonnam Dragons score 1.1 and concede 1.7 goals per match over their last 15; Daejeon Citizen score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jeonnam Dragons | 1.1 | 1.7 | 2 | 8/15 | 9/15 |
| Daejeon Citizen | 1.3 | 1.1 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Jeonnam Dragons | 30 | 5 | 10 | 15 | 37 | 55 | 25 |
A question about Jeonnam Dragons vs Daejeon Citizen?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy