Security Systems vs Mahalapye Hotspurs: result 1-1 and analysis
Premier LeagueRegular Season - 1Kick-off on December 21, 2016 at 05:00 PM (UTC)Molepolole Stadium, Molepolole
Full time
What was the result of Security Systems vs Mahalapye Hotspurs?
Security Systems and Mahalapye Hotspurs drew 1-1 on December 21, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Security Systems have 4 wins, 3 draws and 4 defeats; Mahalapye Hotspurs have 2, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2016 | Nico United(away) | 3-0 | Premier League |
| Dec 10, 2016 | Police XI(home) | 0-1 | Premier League |
| Dec 7, 2016 | Black Forest(away) | 1-1 | Premier League |
| Dec 3, 2016 | Galaxy(home) | 2-3 | Premier League |
| Nov 26, 2016 | Gaborone United(away) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2016 | Gaborone United(home) | 1-2 | Premier League |
| Dec 11, 2016 | Township Rollers(away) | 0-4 | Premier League |
| Dec 7, 2016 | Gilport Lions(home) | 0-0 | Premier League |
| Dec 3, 2016 | Sankoyo Bush Bucks(away) | 1-0 | Premier League |
| Nov 25, 2016 | Orapa United(away) | 0-2 | Premier League |
How many goals should we expect?
Security Systems score 1.2 and concede 1.2 goals per match over their last 11; Mahalapye Hotspurs score 0.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Security Systems | 1.2 | 1.2 | 3 | 6/11 | 5/11 |
| Mahalapye Hotspurs | 0.4 | 1.5 | 4 | 2/11 | 4/11 |
Over the last 11 matches in all competitions.
A question about Security Systems vs Mahalapye Hotspurs?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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