Black Forest vs Sankoyo Bush Bucks: result 0-0 and analysis
Premier LeagueRegular Season - 18Kick-off on February 28, 2017 at 05:00 PM (UTC)University of Botswana Stadium, Gaborone
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What was the result of Black Forest vs Sankoyo Bush Bucks?
Black Forest and Sankoyo Bush Bucks drew 0-0 on February 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Black Forest have 5 wins, 7 draws and 3 defeats; Sankoyo Bush Bucks 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 |
|---|---|---|---|
| Feb 18, 2017 | Mahalapye Hotspurs(away) | 0-1 | Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Galaxy(home) | 0-2 | Premier League |
| Feb 11, 2017 | Gaborone United(away) | 1-1 | Premier League |
| Feb 4, 2017 | Black Forest(home) | 2-1 | Premier League |
| Jan 21, 2017 | Galaxy(away) | 0-1 | Premier League |
| Jan 14, 2017 | Gaborone United(home) | 0-3 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Black Forest win(s), 0 draw(s), 1 Sankoyo Bush Bucks win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 4, 2017 | Sankoyo Bush Bucks 2-1 Black Forest | Premier League |
Last archived meeting: Sankoyo Bush Bucks vs Black Forest on Feb 4, 2017
How many goals should we expect?
Black Forest score 1.1 and concede 0.8 goals per match over their last 15; Sankoyo Bush Bucks score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Black Forest | 1.1 | 0.8 | 6 | 7/15 | 4/15 |
| Sankoyo Bush Bucks | 0.9 | 1.1 | 2 | 8/15 | 5/15 |
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