Mahalapye Hotspurs vs Miscellaneous: result 0-1 and analysis
Premier LeagueRegular Season - 25Kick-off on April 29, 2017 at 01:30 PM (UTC)
Full time
What was the result of Mahalapye Hotspurs vs Miscellaneous?
Miscellaneous won 0-1 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mahalapye Hotspurs have 2 wins, 6 draws and 7 defeats; Miscellaneous have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2017 | Gaborone United(away) | 1-1 | Premier League |
| Apr 22, 2017 | Extension Gunners(away) | 1-1 | Premier League |
| Apr 15, 2017 | Orapa United(home) | 0-5 | Premier League |
| Apr 8, 2017 | Sankoyo Bush Bucks(home) | 3-1 | Premier League |
| Mar 18, 2017 | Gilport Lions(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Sankoyo Bush Bucks(home) | 1-0 | Premier League |
| Apr 15, 2017 | Gilport Lions(away) | 0-0 | Premier League |
| Apr 7, 2017 | Township Rollers(home) | 1-1 | Premier League |
| Mar 17, 2017 | Gaborone United(away) | 1-1 | Premier League |
| Mar 11, 2017 | Galaxy(home) | 0-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Mahalapye Hotspurs win(s), 0 draw(s), 1 Miscellaneous win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2016 | Miscellaneous 2-1 Mahalapye Hotspurs | Premier League |
Last archived meeting: Miscellaneous vs Mahalapye Hotspurs on Nov 19, 2016
How many goals should we expect?
Mahalapye Hotspurs score 0.7 and concede 1.8 goals per match over their last 15; Miscellaneous score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mahalapye Hotspurs | 0.7 | 1.8 | 2 | 8/15 | 7/15 |
| Miscellaneous | 1.1 | 1.3 | 4 | 8/15 | 6/15 |
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