Solihull Moors vs Guiseley AFC: result 3-2 and analysis
National LeagueRegular Season - 7Kick-off on August 20, 2016 at 02:00 PM (UTC)ARMCO Arena, Solihull, West Midlands
Full time
What was the result of Solihull Moors vs Guiseley AFC?
Solihull Moors won 3-2 on August 20, 2016.
Goalscorers
- 13′Andy BrownSolihull Moors
- 41′W. HatfieldGuiseley AFC
- 77′A. BoyesGuiseley AFC
- 80′Andy BrownSolihull Moors
- 84′Harry WhiteSolihull Moors
What is the recent form of both teams?
Over their last 15 matches in all competitions, Solihull Moors have 6 wins, 3 draws and 6 defeats; Guiseley AFC have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2016 | Wrexham(away) | 0-1 | National League |
| Aug 13, 2016 | Bromley(home) | 1-0 | National League |
| Aug 9, 2016 | Woking(home) | 2-2 | National League |
| Aug 6, 2016 | Sutton Utd(away) | 3-1 | National League |
| Dec 22, 2015 | Grimsby(home) | 2-3 | FA Trophy |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2016 | North Ferriby United(away) | 2-3 | National League |
| Aug 13, 2016 | Dagenham & Redbridge(home) | 0-2 | National League |
| Aug 9, 2016 | Wrexham(home) | 2-3 | National League |
| Aug 6, 2016 | Eastleigh(away) | 1-2 | National League |
| Apr 30, 2016 | Torquay(home) | 4-3 | National League |
How many goals should we expect?
Solihull Moors score 1.3 and concede 1.3 goals per match over their last 15; Guiseley AFC score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Solihull Moors | 1.3 | 1.3 | 2 | 9/15 | 7/15 |
| Guiseley AFC | 1.2 | 1.9 | 0 | 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 |
|---|---|---|---|---|---|---|---|---|
| 24 | Solihull Moors | 3 | 0 | 0 | 3 | 3 | 10 | 0 |
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