Mahalapye Hotspurs vs Black Forest: result 1-0 and analysis
Premier LeagueRegular Season - 17Kick-off on February 18, 2017 at 02:00 PM (UTC)
Full time
What was the result of Mahalapye Hotspurs vs Black Forest?
Mahalapye Hotspurs won 1-0 on February 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mahalapye Hotspurs have 2 wins, 3 draws and 10 defeats; Black Forest have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Galaxy(away) | 0-4 | Premier League |
| Feb 4, 2017 | Police XI(home) | 0-0 | Premier League |
| Jan 21, 2017 | Black Forest(away) | 1-2 | Premier League |
| Jan 14, 2017 | Galaxy(home) | 0-3 | Premier League |
| Dec 21, 2016 | Security Systems(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2017 | Extension Gunners(home) | 1-1 | Premier League |
| Feb 4, 2017 | Sankoyo Bush Bucks(away) | 1-2 | Premier League |
| Jan 21, 2017 | Mahalapye Hotspurs(home) | 2-1 | Premier League |
| Jan 15, 2017 | Extension Gunners(away) | 1-1 | Premier League |
| Dec 21, 2016 | Galaxy(away) | 0-3 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Mahalapye Hotspurs win(s), 0 draw(s), 1 Black Forest win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 21, 2017 | Black Forest 2-1 Mahalapye Hotspurs | Premier League |
Last archived meeting: Black Forest vs Mahalapye Hotspurs on Jan 21, 2017
How many goals should we expect?
Mahalapye Hotspurs score 0.4 and concede 1.7 goals per match over their last 15; Black Forest score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mahalapye Hotspurs | 0.4 | 1.7 | 4 | 4/15 | 7/15 |
| Black Forest | 1.1 | 0.7 | 7 | 7/15 | 4/15 |
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