Magesi vs Black Leopards: result 0-0 and analysis
1st DivisionNational First Division - Round 14Kick-off on December 11, 2016 at 12:30 PM (UTC)Old Peter Mokaba Stadium, Pietersburg
Full time
What was the result of Magesi vs Black Leopards?
Magesi and Black Leopards drew 0-0 on December 11, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Magesi have 2 wins, 3 draws and 8 defeats; Black Leopards have 4, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2016 | Jomo Cosmos(away) | 1-2 | 1st Division |
| Nov 26, 2016 | Amazulu(home) | 3-2 | 1st Division |
| Nov 19, 2016 | Univ. OF Pretoria FC(away) | 0-1 | 1st Division |
| Nov 5, 2016 | Mthatha Bucks(home) | 1-1 | 1st Division |
| Oct 29, 2016 | Milano United(away) | 0-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2016 | Thanda Royal Zulu FC(home) | 0-0 | 1st Division |
| Nov 26, 2016 | Real Kings FC(away) | 2-1 | 1st Division |
| Nov 19, 2016 | Mbombela United(home) | 2-2 | 1st Division |
| Nov 5, 2016 | Witbank Spurs(away) | 1-2 | 1st Division |
| Oct 30, 2016 | Stellenbosch(home) | 2-3 | 1st Division |
How many goals should we expect?
Magesi score 0.8 and concede 1.8 goals per match over their last 13; Black Leopards score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magesi | 0.8 | 1.8 | 2 | 6/13 | 6/13 |
| Black Leopards | 1.6 | 1.5 | 2 | 10/13 | 9/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Magesi | 6 | 4 | 2 | 0 | 7 | 2 | 14 |
A question about Magesi vs Black Leopards?
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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