Bromley vs North Ferriby United: result 3-0 and analysis
National LeagueRegular Season - 44Kick-off on March 11, 2017 at 03:00 PM (UTC)RELOC8 EM Community Stadium, London
Full time
What was the result of Bromley vs North Ferriby United?
Bromley won 3-0 on March 11, 2017.
Goalscorers
- 34′B. GoldbergBromley
- 78′G. PorterBromley
- 90′J. WynterBromley
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bromley have 5 wins, 3 draws and 7 defeats; North Ferriby United have 6, 0 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | Boreham Wood(away) | 0-0 | National League |
| Feb 28, 2017 | Braintree(home) | 0-5 | National League |
| Feb 25, 2017 | Aldershot Town(away) | 0-4 | National League |
| Feb 21, 2017 | Dagenham & Redbridge(away) | 1-2 | National League |
| Feb 18, 2017 | Solihull Moors(home) | 0-1 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | Woking(home) | 2-1 | National League |
| Feb 25, 2017 | Guiseley AFC(away) | 2-1 | National League |
| Feb 21, 2017 | Lincoln(home) | 0-1 | National League |
| Feb 18, 2017 | Dover(home) | 1-2 | National League |
| Feb 11, 2017 | Braintree(away) | 0-1 | National League |
What does the head-to-head say?
Across the last 1 meetings: 1 Bromley win(s), 0 draw(s), 0 North Ferriby United win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 29, 2016 | North Ferriby United 1-2 Bromley | National League |
Last archived meeting: North Ferriby United vs Bromley on Oct 29, 2016
How many goals should we expect?
Bromley score 1.2 and concede 1.9 goals per match over their last 15; North Ferriby United score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bromley | 1.2 | 1.9 | 3 | 8/15 | 9/15 |
| North Ferriby United | 0.9 | 1.4 | 2 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
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