Melbourne City vs Jeonnam Dragons: result 2-1 and analysis
AFC Champions League EliteGroup Stage - 3Kick-off on April 21, 2022 at 02:00 PM (UTC)BG Stadium, Pathum Thani
Full time
What was the result of Melbourne City vs Jeonnam Dragons?
Melbourne City won 2-1 on April 21, 2022.
Goalscorers
- 12′C. JenkinsonMelbourne City
- 16′Lee Kyu-HyukJeonnam Dragons
- 22′A. NabboutMelbourne City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Melbourne City have 9 wins, 4 draws and 2 defeats; Jeonnam Dragons have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2022 | Ceres(home) | 3-0 | AFC Champions League Elite |
| Apr 15, 2022 | BG Pathum United(away) | 1-1 | AFC Champions League Elite |
| Apr 9, 2022 | Melbourne Victory(away) | 0-3 | A-League |
| Apr 6, 2022 | Sydney(home) | 4-0 | A-League |
| Apr 2, 2022 | Wellington Phoenix(away) | 6-0 | A-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2022 | BG Pathum United(home) | 0-2 | AFC Champions League Elite |
| Apr 15, 2022 | Ceres(away) | 1-0 | AFC Champions League Elite |
| Apr 10, 2022 | Gwangju FC(away) | 0-1 | K League 2 |
| Apr 5, 2022 | Daejeon Citizen(home) | 0-1 | K League 2 |
| Apr 2, 2022 | Seoul E-Land FC(home) | 1-1 | K League 2 |
How many goals should we expect?
Melbourne City score 2.3 and concede 1.1 goals per match over their last 15; Jeonnam Dragons score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Melbourne City | 2.3 | 1.1 | 5 | 9/15 | 12/15 |
| Jeonnam Dragons | 0.9 | 1.0 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Melbourne City | 8 | 4 | 2 | 2 | 9 | 7 | 14 |
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