Match

Security Systems vs Miscellaneous: result 0-0 and analysis

Premier LeagueRegular Season - 29Kick-off on May 4, 2019 at 05:00 PM (UTC)Molepolole Stadium, Molepolole

Security Systems
0-0
Miscellaneous

Full time

What was the result of Security Systems vs Miscellaneous?

Security Systems and Miscellaneous drew 0-0 on May 4, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Security Systems have 8 wins, 6 draws and 1 defeats; Miscellaneous have 5, 5 and 5.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Security Systems
DateOpponentScoreCompetition
May 1, 2019Black Forest(away)5-0Premier League
Apr 24, 2019Shooting Stars(home)2-1Premier League
Apr 9, 2019Sankoyo Bush Bucks(home)2-1Premier League
Apr 6, 2019Police XI(away)1-1Premier League
Mar 17, 2019Gaborone United(away)1-1Premier League
Miscellaneous
DateOpponentScoreCompetition
May 1, 2019Prisons XI(home)2-2Premier League
Apr 23, 2019Orapa United(home)0-6Premier League
Apr 9, 2019Galaxy(away)0-4Premier League
Apr 6, 2019BDF XI(away)2-2Premier League
Mar 17, 2019BR Highlanders(home)2-1Premier League

What does the head-to-head say?

Across the last 5 meetings: 2 Security Systems win(s), 3 draw(s), 0 Miscellaneous win(s).

DateScoreCompetition
Dec 13, 2018Miscellaneous 0-0 Security SystemsPremier League
Feb 11, 2018Security Systems 1-1 MiscellaneousPremier League
Oct 14, 2017Miscellaneous 0-0 Security SystemsPremier League
May 20, 2017Miscellaneous 0-1 Security SystemsPremier League
Oct 15, 2016Security Systems 1-0 MiscellaneousPremier League

Last archived meeting: Miscellaneous vs Security Systems on Dec 13, 2018

How many goals should we expect?

Security Systems score 1.7 and concede 0.8 goals per match over their last 15; Miscellaneous score 1.2 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Security Systems1.70.868/156/15
Miscellaneous1.21.848/1511/15

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

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