Magesi vs Mthatha Bucks: result 1-1 and analysis
1st DivisionNational First Division - Round 10Kick-off on November 5, 2016 at 12:30 PM (UTC)Old Peter Mokaba Stadium, Pietersburg
Full time
What was the result of Magesi vs Mthatha Bucks?
Magesi and Mthatha Bucks drew 1-1 on November 5, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Magesi have 1 win, 2 draws and 6 defeats; Mthatha Bucks have 3, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Milano United(away) | 0-1 | 1st Division |
| Oct 26, 2016 | Santos FC(home) | 0-0 | 1st Division |
| Oct 22, 2016 | Royal Eagles(away) | 1-6 | 1st Division |
| Oct 15, 2016 | Real Kings FC(away) | 0-3 | 1st Division |
| Oct 1, 2016 | Mbombela United(home) | 0-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Thanda Royal Zulu FC(home) | 2-2 | 1st Division |
| Oct 26, 2016 | Real Kings FC(away) | 2-2 | 1st Division |
| Oct 22, 2016 | Mbombela United(home) | 2-1 | 1st Division |
| Oct 16, 2016 | Cape Town ALL Stars(away) | 0-1 | 1st Division |
| Oct 1, 2016 | Black Leopards(home) | 2-2 | 1st Division |
How many goals should we expect?
Magesi score 0.6 and concede 2.0 goals per match over their last 9; Mthatha Bucks score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magesi | 0.6 | 2.0 | 2 | 3/9 | 4/9 |
| Mthatha Bucks | 1.6 | 1.3 | 1 | 6/9 | 6/9 |
Over the last 9 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 Mthatha Bucks?
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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