Milton Keynes Dons vs Chelsea U21: result 0-4 and analysis
EFL Trophy2nd RoundKick-off on December 6, 2017 at 07:45 PM (UTC)Stadium mk, Milton Keynes, Buckinghamshire
Full time
What was the result of Milton Keynes Dons vs Chelsea U21?
Chelsea U21 won 0-4 on December 6, 2017.
Goalscorers
- 22′M. BatshuayiChelsea U21
- 42′M. BatshuayiChelsea U21
- 45′C. Hudson-OdoiChelsea U21
- 56′C. MusondaChelsea U21
What is the recent form of both teams?
Over their last 15 matches in all competitions, Milton Keynes Dons have 5 wins, 6 draws and 4 defeats; Chelsea U21 have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2017 | Maidstone Utd(home) | 4-1 | FA Cup |
| Nov 25, 2017 | Doncaster(away) | 1-2 | League One |
| Nov 21, 2017 | Southend(home) | 1-1 | League One |
| Nov 18, 2017 | Charlton(away) | 2-2 | League One |
| Nov 11, 2017 | Fleetwood Town(home) | 1-0 | League One |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2017 | Exeter City(away) | 3-1 | EFL Trophy |
| Oct 25, 2017 | Yeovil Town(away) | 1-1 | EFL Trophy |
| Aug 15, 2017 | Plymouth(away) | 2-2 | EFL Trophy |
How many goals should we expect?
Milton Keynes Dons score 1.7 and concede 1.5 goals per match over their last 15; Chelsea U21 score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Milton Keynes Dons | 1.7 | 1.5 | 5 | 8/15 | 7/15 |
| Chelsea U21 | 2.0 | 1.3 | 0 | 3/3 | 2/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Milton Keynes Dons sit 4th in EFL Trophy (0 points from 3 matches) and Chelsea U21 sit 4th (1 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Milton Keynes Dons | 3 | 0 | 0 | 3 | 1 | 10 | 0 |
| 4 | Chelsea U21 | 3 | 0 | 0 | 3 | 1 | 6 | 1 |
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