Match

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

Miscellaneous
0-0
Security Systems

Full time

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.

Miscellaneous
DateOpponentScoreCompetition
Sep 27, 2017Police XI(home)4-1Premier League
Sep 24, 2017Black Forest(away)0-1Premier League
May 27, 2017Green Lovers(away)5-0Premier League
May 20, 2017Security Systems(home)0-1Premier League
May 14, 2017Centre Chiefs(away)0-5Premier League
Security Systems
DateOpponentScoreCompetition
Sep 26, 2017TAFIC(away)1-2Premier League
Sep 23, 2017BDF XI(home)0-3Premier League
May 25, 2017Centre Chiefs(home)4-2Premier League
May 20, 2017Miscellaneous(away)1-0Premier League
May 14, 2017Extension Gunners(home)1-2Premier League

What does the head-to-head say?

Across the last 2 meetings: 0 Miscellaneous wins, 0 draws, 2 Security Systems wins.

DateScoreCompetition
May 20, 2017Miscellaneous 0-1 Security SystemsPremier League
Oct 15, 2016Security Systems 1-0 MiscellaneousPremier 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.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Miscellaneous1.11.246/156/15
Security Systems1.31.166/156/15

Over the last 15 matches in all competitions.

A question about Miscellaneous vs Security Systems?

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

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