North Ferriby United vs Forest Green: result 0-3 and analysis
National LeagueRegular Season - 18Kick-off on October 8, 2016 at 02:00 PM (UTC)Eon Visual Media Stadium, North Ferriby, East Yorkshire
Full time
What was the result of North Ferriby United vs Forest Green?
Forest Green won 0-3 on October 8, 2016.
Goalscorers
- 43′E. PinnockForest Green
- 75′C. CloughForest Green
- 90′C. DoidgeForest Green
What is the recent form of both teams?
Over their last 15 matches in all competitions, North Ferriby United have 3 wins, 1 draws and 11 defeats; Forest Green have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2016 | Chester(home) | 0-1 | National League |
| Oct 1, 2016 | Macclesfield(away) | 0-1 | National League |
| Sep 24, 2016 | Southport(home) | 0-1 | National League |
| Sep 17, 2016 | Dagenham & Redbridge(away) | 0-2 | National League |
| Sep 13, 2016 | Gateshead(away) | 1-0 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2016 | Aldershot Town(away) | 4-0 | National League |
| Oct 1, 2016 | Barrow(home) | 0-0 | National League |
| Sep 24, 2016 | Braintree(away) | 1-0 | National League |
| Sep 17, 2016 | Bromley(home) | 1-0 | National League |
| Sep 13, 2016 | Eastleigh(home) | 1-1 | National League |
How many goals should we expect?
North Ferriby United score 0.5 and concede 1.6 goals per match over their last 15; Forest Green score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| North Ferriby United | 0.5 | 1.6 | 3 | 3/15 | 3/15 |
| Forest Green | 1.8 | 0.7 | 7 | 7/15 | 6/15 |
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