Amazulu vs Bidvest Wits: result 3-0 and analysis
Premier Soccer LeagueRegular Season - 5Kick-off on September 20, 2017 at 05:30 PM (UTC)Moses Mabhida Stadium, Durban
Full time
What was the result of Amazulu vs Bidvest Wits?
Amazulu won 3-0 on September 20, 2017.
Goalscorers
- 11′Michael Alan MortonAmazulu
- 58′R. ManziniAmazulu (pen.)
- 60′R. ManziniAmazulu
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amazulu have 8 wins, 1 draws and 6 defeats; Bidvest Wits have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2017 | Golden Arrows(away) | 1-4 | Premier Soccer League |
| Sep 12, 2017 | Maritzburg Utd(home) | 1-1 | Premier Soccer League |
| Aug 22, 2017 | Chippa United(away) | 0-2 | Premier Soccer League |
| Aug 19, 2017 | Free State Stars(home) | 1-0 | Premier Soccer League |
| May 14, 2017 | FC Cape Town(away) | 0-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Kaizer Chiefs(away) | 1-1 | Premier Soccer League |
| Sep 13, 2017 | Golden Arrows(home) | 1-3 | Premier Soccer League |
| Aug 23, 2017 | Free State Stars(away) | 2-2 | Premier Soccer League |
| Aug 18, 2017 | Cape Town City(home) | 0-1 | Premier Soccer League |
| May 27, 2017 | Kaizer Chiefs(away) | 0-1 | Premier Soccer League |
How many goals should we expect?
Amazulu score 1.7 and concede 1.2 goals per match over their last 15; Bidvest Wits score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amazulu | 1.7 | 1.2 | 4 | 7/15 | 8/15 |
| Bidvest Wits | 1.1 | 0.9 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Amazulu | 3 | 2 | 1 | 0 | 4 | 1 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy