Amazulu vs Mthatha Bucks: result 1-2 and analysis
1st DivisionNational First Division - Round 17Kick-off on February 15, 2017 at 12:30 PM (UTC)Moses Mabhida Stadium, Durban
Full time
What was the result of Amazulu vs Mthatha Bucks?
Mthatha Bucks won 1-2 on February 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amazulu have 6 wins, 3 draws and 6 defeats; Mthatha Bucks have 3, 10 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Univ. OF Pretoria FC(away) | 1-1 | 1st Division |
| Dec 18, 2016 | Milano United(home) | 6-1 | 1st Division |
| Dec 10, 2016 | Santos FC(away) | 1-0 | 1st Division |
| Dec 4, 2016 | Royal Eagles(home) | 3-2 | 1st Division |
| Nov 26, 2016 | Magesi(away) | 2-3 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2017 | Jomo Cosmos(home) | 0-0 | 1st Division |
| Dec 17, 2016 | Univ. OF Pretoria FC(away) | 2-2 | 1st Division |
| Dec 10, 2016 | FC Cape Town(home) | 1-1 | 1st Division |
| Dec 3, 2016 | Milano United(home) | 3-1 | 1st Division |
| Nov 25, 2016 | Santos FC(away) | 0-0 | 1st Division |
What does the head-to-head say?
In the last meeting: 0 Amazulu wins, 1 draw, 0 Mthatha Bucks wins.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Mthatha Bucks 2-2 Amazulu | 1st Division |
Last archived meeting: Mthatha Bucks vs Amazulu on Sep 17, 2016
How many goals should we expect?
Amazulu score 1.5 and concede 1.3 goals per match over their last 15; Mthatha Bucks score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amazulu | 1.5 | 1.3 | 5 | 7/15 | 7/15 |
| Mthatha Bucks | 1.3 | 1.1 | 3 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Amazulu vs Mthatha Bucks?
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