Gillingham vs Milton Keynes Dons: result 3-2 and analysis
League OneRegular Season - 10Kick-off on October 5, 2013 at 02:00 PM (UTC)Priestfield Stadium, Gillingham, Kent
Full time
What was the result of Gillingham vs Milton Keynes Dons?
Gillingham won 3-2 on October 5, 2013.
Goalscorers
- 11′D. KedwellGillingham (pen.)
- 13′D. KedwellGillingham (pen.)
- 26′P. BamfordMilton Keynes Dons
- 30′P. BamfordMilton Keynes Dons
- 59′Daniel Timothy HollandsGillingham
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gillingham have 2 wins, 4 draws and 9 defeats; Milton Keynes Dons have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Crewe(away) | 3-0 | League One |
| Sep 21, 2013 | Bradford(home) | 0-1 | League One |
| Sep 15, 2013 | Coventry(away) | 1-2 | League One |
| Sep 7, 2013 | Crawley Town(away) | 2-3 | League One |
| Sep 3, 2013 | Leyton Orient(home) | 1-3 | EFL Trophy |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Stevenage(home) | 4-1 | League One |
| Sep 21, 2013 | Peterborough(away) | 1-2 | League One |
| Sep 14, 2013 | Notts County(home) | 3-1 | League One |
| Sep 7, 2013 | Swindon Town(home) | 1-1 | League One |
| Sep 3, 2013 | Northampton(home) | 2-0 | EFL Trophy |
How many goals should we expect?
Gillingham score 1.1 and concede 1.7 goals per match over their last 15; Milton Keynes Dons score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gillingham | 1.1 | 1.7 | 2 | 8/15 | 8/15 |
| Milton Keynes Dons | 1.7 | 1.0 | 6 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Milton Keynes Dons | 2 | 0 | 2 | 0 | 3 | 3 | 2 |
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