Prisons XI vs Miscellaneous: result 1-3 and analysis
Premier LeagueRegular Season - 13Kick-off on December 1, 2018 at 01:45 PM (UTC)Botswana Police College Stadium, Otse
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What was the result of Prisons XI vs Miscellaneous?
Miscellaneous won 1-3 on December 1, 2018.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Prisons XI have 2 wins, 3 draws and 7 defeats; Miscellaneous have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 11, 2018 | Security Systems(away) | 1-0 | Premier League |
| Nov 3, 2018 | Notwane(home) | 1-1 | Premier League |
| Oct 27, 2018 | Orapa United(home) | 0-1 | Premier League |
| Oct 20, 2018 | Gaborone United(away) | 0-3 | Premier League |
| Oct 6, 2018 | BR Highlanders(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | Gaborone United(home) | 2-3 | Premier League |
| Nov 7, 2018 | Township Rollers(home) | 0-1 | Premier League |
| Nov 3, 2018 | BR Highlanders(away) | 0-1 | Premier League |
| Oct 26, 2018 | Centre Chiefs(home) | 2-0 | Premier League |
| Oct 20, 2018 | Extension Gunners(away) | 1-3 | Premier League |
How many goals should we expect?
Prisons XI score 0.6 and concede 1.6 goals per match over their last 12; Miscellaneous score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Prisons XI | 0.6 | 1.6 | 1 | 5/12 | 4/12 |
| Miscellaneous | 0.9 | 1.5 | 4 | 7/15 | 6/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Prisons XI | 4 | 0 | 0 | 4 | 1 | 7 | 0 |
A question about Prisons XI vs Miscellaneous?
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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