Shooting Stars vs Miscellaneous: result 0-3 and analysis
Premier LeagueRegular Season - 21Kick-off on March 10, 2018 at 02:00 PM (UTC)
Full time
What was the result of Shooting Stars vs Miscellaneous?
Miscellaneous won 0-3 on March 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shooting Stars have 7 wins, 5 draws and 3 defeats; Miscellaneous have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2018 | TAFIC(home) | 3-2 | Premier League |
| Feb 18, 2018 | Gaborone United(away) | 3-2 | Premier League |
| Feb 11, 2018 | Sankoyo Bush Bucks(home) | 1-0 | Premier League |
| Jan 27, 2018 | Gilport Lions(home) | 0-0 | Premier League |
| Jan 24, 2018 | Galaxy(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jan 21, 2018 | Police XI(away) | 2-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Shooting Stars wins, 1 draw, 0 Miscellaneous wins.
| Date | Score | Competition |
|---|---|---|
| Nov 17, 2017 | Miscellaneous 3-3 Shooting Stars | Premier League |
Last archived meeting: Miscellaneous vs Shooting Stars on Nov 17, 2017
How many goals should we expect?
Shooting Stars score 1.7 and concede 1.3 goals per match over their last 15; Miscellaneous score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shooting Stars | 1.7 | 1.3 | 5 | 8/15 | 7/15 |
| Miscellaneous | 1.7 | 1.4 | 1 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Shooting Stars vs Miscellaneous?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy