Daegu II vs Busan Transportation: result 4-2 and analysis
K3 LeagueRegular Season - 9Kick-off on May 12, 2024 at 05:00 AM (UTC)
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What was the result of Daegu II vs Busan Transportation?
Daegu II won 4-2 on May 12, 2024.
Goalscorers
- 4′Ahn Chang-MinDaegu II
- 15′Kim Young-JunDaegu II
- 34′Ahn Chang-MinDaegu II
- 46′Park Se-MinDaegu II
- 90′Woo Je-WookBusan Transportation
- 90′Lee Chan-WoolBusan Transportation
What is the recent form of both teams?
Over their last 8 matches in all competitions, Daegu II have 1 wins, 1 draws and 6 defeats; Busan Transportation have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2024 | Chuncheon(away) | 1-1 | K3 League |
| Apr 27, 2024 | Paju Citizen(home) | 2-4 | K3 League |
| Apr 20, 2024 | Siheung Citizen(home) | 1-4 | K3 League |
| Apr 13, 2024 | Daejeon Korail(home) | 0-4 | K3 League |
| Apr 6, 2024 | Ulsan Citizen(home) | 1-2 | K3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2024 | Paju Citizen(home) | 1-3 | K3 League |
| Apr 27, 2024 | Daejeon Korail(home) | 0-0 | K3 League |
| Apr 20, 2024 | Gimhae City(home) | 2-3 | K3 League |
| Apr 14, 2024 | Hwaseong(home) | 1-3 | K3 League |
| Apr 7, 2024 | Changwon City(away) | 1-2 | K3 League |
How many goals should we expect?
Daegu II score 1.1 and concede 2.5 goals per match over their last 8; Busan Transportation score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Daegu II | 1.1 | 2.5 | 1 | 5/8 | 5/8 |
| Busan Transportation | 1.5 | 1.9 | 1 | 11/15 | 12/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Busan Transportation | 19 | 10 | 6 | 3 | 34 | 18 | 36 |
| 4 | Busan Transportation | 14 | 7 | 5 | 2 | 23 | 11 | 26 |
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