Guiseley AFC vs Cheltenham: result 0-2 and analysis
National LeagueRegular Season - 52Kick-off on April 9, 2016 at 02:00 PM (UTC)Nethermoor Park, Guiseley, West Yorkshire
Full time
What was the result of Guiseley AFC vs Cheltenham?
Cheltenham won 0-2 on April 9, 2016.
Goalscorers
- 80′R. DickieCheltenham
- 89′Daniel HolmanCheltenham
What is the recent form of both teams?
Over their last 15 matches in all competitions, Guiseley AFC have 2 wins, 7 draws and 6 defeats; Cheltenham 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 |
|---|---|---|---|
| Apr 2, 2016 | Eastleigh(away) | 1-1 | National League |
| Mar 28, 2016 | Chester(home) | 3-3 | National League |
| Mar 26, 2016 | Southport(away) | 0-2 | National League |
| Mar 19, 2016 | Dover(home) | 0-1 | National League |
| Mar 15, 2016 | Grimsby(home) | 2-2 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2016 | Grimsby(home) | 3-1 | National League |
| Mar 28, 2016 | Wrexham(away) | 1-2 | National League |
| Mar 25, 2016 | Boreham Wood(home) | 4-1 | National League |
| Mar 19, 2016 | Braintree(away) | 0-1 | National League |
| Mar 12, 2016 | Woking(home) | 4-0 | National League |
What does the head-to-head say?
Across the last 1 meetings: 0 Guiseley AFC win(s), 0 draw(s), 1 Cheltenham win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2015 | Cheltenham 5-0 Guiseley AFC | National League |
Last archived meeting: Cheltenham vs Guiseley AFC on Nov 10, 2015
How many goals should we expect?
Guiseley AFC score 0.9 and concede 1.5 goals per match over their last 15; Cheltenham score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Guiseley AFC | 0.9 | 1.5 | 2 | 7/15 | 5/15 |
| Cheltenham | 1.7 | 0.9 | 5 | 7/15 | 8/15 |
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