Shooting Stars vs Miscellaneous: result 3-2 and analysis
Premier LeagueRegular Season - 6Kick-off on September 26, 2018 at 05:00 PM (UTC)
Full time
What was the result of Shooting Stars vs Miscellaneous?
Shooting Stars won 3-2 on September 26, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shooting Stars have 6 wins, 5 draws and 4 defeats; Miscellaneous have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Notwane(away) | 2-2 | Premier League |
| Sep 15, 2018 | Township Rollers(away) | 0-1 | Premier League |
| Sep 1, 2018 | Orapa United(home) | 1-0 | Premier League |
| Aug 25, 2018 | Centre Chiefs(away) | 3-0 | Premier League |
| Aug 19, 2018 | Gaborone United(home) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | BDF XI(home) | 0-0 | Premier League |
| Sep 15, 2018 | Galaxy(home) | 0-0 | Premier League |
| Sep 2, 2018 | Notwane(away) | 2-2 | Premier League |
| Aug 25, 2018 | Black Forest(home) | 2-1 | Premier League |
| Aug 18, 2018 | Sankoyo Bush Bucks(away) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Shooting Stars win(s), 1 draw(s), 1 Miscellaneous win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2018 | Shooting Stars 0-3 Miscellaneous | Premier League |
| Nov 17, 2017 | Miscellaneous 3-3 Shooting Stars | Premier League |
Last archived meeting: Shooting Stars vs Miscellaneous on Mar 10, 2018
How many goals should we expect?
Shooting Stars score 1.7 and concede 1.3 goals per match over their last 15; Miscellaneous score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shooting Stars | 1.7 | 1.3 | 3 | 10/15 | 11/15 |
| Miscellaneous | 1.1 | 1.1 | 6 | 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