Miscellaneous vs Security Systems: result 0-0 and analysis
Premier LeagueRegular Season - 3Kick-off on October 14, 2017 at 02:00 PM (UTC)Itekeng Stadium, Orapa
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What was the result of Miscellaneous vs Security Systems?
Miscellaneous and Security Systems drew 0-0 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Miscellaneous have 5 wins, 3 draws and 7 defeats; Security Systems have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2017 | Police XI(home) | 4-1 | Premier League |
| Sep 24, 2017 | Black Forest(away) | 0-1 | Premier League |
| May 27, 2017 | Green Lovers(away) | 5-0 | Premier League |
| May 20, 2017 | Security Systems(home) | 0-1 | Premier League |
| May 14, 2017 | Centre Chiefs(away) | 0-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2017 | TAFIC(away) | 1-2 | Premier League |
| Sep 23, 2017 | BDF XI(home) | 0-3 | Premier League |
| May 25, 2017 | Centre Chiefs(home) | 4-2 | Premier League |
| May 20, 2017 | Miscellaneous(away) | 1-0 | Premier League |
| May 14, 2017 | Extension Gunners(home) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Miscellaneous win(s), 0 draw(s), 2 Security Systems win(s).
| Date | Score | Competition |
|---|---|---|
| May 20, 2017 | Miscellaneous 0-1 Security Systems | Premier League |
| Oct 15, 2016 | Security Systems 1-0 Miscellaneous | Premier League |
Last archived meeting: Miscellaneous vs Security Systems on May 20, 2017
How many goals should we expect?
Miscellaneous score 1.1 and concede 1.2 goals per match over their last 15; Security Systems score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Miscellaneous | 1.1 | 1.2 | 4 | 6/15 | 6/15 |
| Security Systems | 1.3 | 1.1 | 6 | 6/15 | 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