Miscellaneous vs Black Forest: result 1-1 and analysis
Premier LeagueRegular Season - 22Kick-off on March 18, 2018 at 02:00 PM (UTC)Itekeng Stadium, Orapa
Full time
What was the result of Miscellaneous vs Black Forest?
Miscellaneous and Black Forest drew 1-1 on March 18, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Miscellaneous have 7 wins, 6 draws and 2 defeats; Black Forest have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2018 | Shooting Stars(away) | 3-0 | Premier League |
| Feb 23, 2018 | Centre Chiefs(home) | 0-1 | Premier League |
| Feb 17, 2018 | Sankoyo Bush Bucks(home) | 1-1 | Premier League |
| Feb 11, 2018 | Security Systems(away) | 1-1 | Premier League |
| Feb 4, 2018 | Gilport Lions(home) | 3-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2018 | Township Rollers(home) | 0-2 | Premier League |
| Mar 4, 2018 | Sankoyo Bush Bucks(away) | 1-0 | Premier League |
| Feb 28, 2018 | Galaxy(away) | 0-2 | Premier League |
| Feb 17, 2018 | Orapa United(home) | 1-2 | Premier League |
| Feb 4, 2018 | Centre Chiefs(home) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 0 Miscellaneous win(s), 1 draw(s), 2 Black Forest win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2017 | Black Forest 1-0 Miscellaneous | Premier League |
| Mar 4, 2017 | Miscellaneous 1-2 Black Forest | Premier League |
| Dec 17, 2016 | Black Forest 0-0 Miscellaneous | Premier League |
Last archived meeting: Black Forest vs Miscellaneous on Sep 24, 2017
How many goals should we expect?
Miscellaneous score 1.9 and concede 1.3 goals per match over their last 15; Black Forest score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Miscellaneous | 1.9 | 1.3 | 2 | 12/15 | 10/15 |
| Black Forest | 0.9 | 0.9 | 6 | 6/15 | 2/15 |
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