Leatherhead vs Faversham Town: result 1-2 and analysis
FA Cup1st Round QualifyingKick-off on September 13, 2014 at 02:00 PM (UTC)Fetcham Grove, Leatherhead, Surrey
Full time
What was the result of Leatherhead vs Faversham Town?
Faversham Town won 1-2 on September 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Leatherhead have 10 wins, 1 draw and 4 defeats; Faversham Town have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Dulwich Hamlet(away) | 0-3 | FA Trophy |
| Oct 19, 2013 | Lewes(away) | 2-1 | FA Trophy |
| Oct 12, 2013 | Biggleswade Town(away) | 1-5 | FA Cup |
| Oct 5, 2013 | Harlow Town(home) | 4-0 | FA Trophy |
| Sep 28, 2013 | Binfield(away) | 2-1 | FA Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2014 | Westfield (Surrey)(home) | 2-1 | FA Cup |
| Oct 6, 2013 | Aylesbury United(away) | 2-4 | FA Trophy |
| Sep 29, 2013 | Horsham(away) | 0-2 | FA Cup |
| Sep 15, 2013 | Cray Wanderers(away) | 3-0 | FA Cup |
| Aug 31, 2013 | Worthing(home) | 5-1 | FA Cup |
What does the head-to-head say?
In the last meeting: 1 Leatherhead win, 0 draws, 0 Faversham Town wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2012 | Faversham Town 0-2 Leatherhead | FA Trophy |
Last archived meeting: Faversham Town vs Leatherhead on Sep 29, 2012
How many goals should we expect?
Leatherhead score 2.0 and concede 1.3 goals per match over their last 15; Faversham Town score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Leatherhead | 2.0 | 1.3 | 6 | 7/15 | 11/15 |
| Faversham Town | 1.8 | 1.9 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Leatherhead vs Faversham Town?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
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