Chelsea U21 vs Peterborough: result 1-3 and analysis
EFL Trophy3rd RoundKick-off on January 9, 2019 at 07:00 PM (UTC)Stamford Bridge, London
Full time
What was the result of Chelsea U21 vs Peterborough?
Peterborough won 1-3 on January 9, 2019.
Goalscorers
- 45′Richard Nicos Tettey NarteyChelsea U21
- 65′S. DembéléPeterborough
- 72′I. ToneyPeterborough
- 74′M. MaddisonPeterborough
What is the recent form of both teams?
Over their last 11 matches in all competitions, Chelsea U21 have 7 wins, 3 draws and 1 defeats; Peterborough have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2018 | AFC Wimbledon(home) | 2-1 | EFL Trophy |
| Oct 30, 2018 | Plymouth(away) | 5-0 | EFL Trophy |
| Sep 25, 2018 | Newport County(away) | 0-3 | EFL Trophy |
| Aug 7, 2018 | Swindon Town(away) | 4-0 | EFL Trophy |
| Feb 6, 2018 | Lincoln(away) | 2-2 | EFL Trophy |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2019 | Middlesbrough(away) | 0-5 | FA Cup |
| Jan 1, 2019 | Scunthorpe(home) | 0-2 | League One |
| Dec 29, 2018 | Accrington ST(away) | 4-0 | League One |
| Dec 26, 2018 | Barnsley(away) | 0-2 | League One |
| Dec 22, 2018 | Walsall(home) | 1-1 | League One |
How many goals should we expect?
Chelsea U21 score 2.5 and concede 1.0 goals per match over their last 11; Peterborough score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chelsea U21 | 2.5 | 1.0 | 4 | 6/11 | 10/11 |
| Peterborough | 1.9 | 1.9 | 3 | 9/15 | 8/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Chelsea U21 sit 4th in EFL Trophy (1 points from 3 matches) and Peterborough sit 2nd (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Peterborough | 3 | 2 | 0 | 1 | 7 | 6 | 6 |
| 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