Maidenhead vs Forest Green: result 1-4 and analysis
National LeagueRegular Season - 17Kick-off on November 9, 2024 at 03:00 PM (UTC)York Road Stadium, Maidenhead, Berkshire
Full time
What was the result of Maidenhead vs Forest Green?
Forest Green won 1-4 on November 9, 2024.
Goalscorers
- 20′H. BunkerForest Green
- 35′C. McCannForest Green
- 66′W. De HavillandMaidenhead
- 69′J. Moore-TaylorForest Green
- 80′T. JenksForest Green
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maidenhead have 5 wins, 5 draws and 5 defeats; Forest Green have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2024 | Derby County U21(home) | 3-3 | National League Cup |
| Nov 2, 2024 | Crawley Town(home) | 1-2 | FA Cup |
| Oct 26, 2024 | Yeovil Town(away) | 1-3 | National League |
| Oct 22, 2024 | Oldham(home) | 2-2 | National League |
| Oct 19, 2024 | Hartlepool(home) | 1-1 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2024 | Stoke City U21(home) | 0-4 | National League Cup |
| Nov 2, 2024 | Stockport County(away) | 1-2 | FA Cup |
| Oct 26, 2024 | Woking(away) | 1-1 | National League |
| Oct 22, 2024 | Ebbsfleet United(home) | 3-1 | National League |
| Oct 19, 2024 | Braintree(home) | 2-1 | National League |
How many goals should we expect?
Maidenhead score 1.5 and concede 1.5 goals per match over their last 15; Forest Green score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maidenhead | 1.5 | 1.5 | 3 | 11/15 | 9/15 |
| Forest Green | 1.7 | 1.1 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Forest Green | 3 | 2 | 0 | 1 | 5 | 6 | 6 |
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