Milano United vs Amazulu: result 1-0 and analysis
1st DivisionNational First Division - Round 27Kick-off on May 2, 2017 at 12:00 PM (UTC)
Full time
What was the result of Milano United vs Amazulu?
Milano United won 1-0 on May 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Milano United have 4 wins, 0 draws and 11 defeats; Amazulu have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Witbank Spurs(away) | 2-3 | 1st Division |
| Apr 22, 2017 | Mbombela United(home) | 0-4 | 1st Division |
| Apr 18, 2017 | Mthatha Bucks(home) | 2-0 | 1st Division |
| Apr 15, 2017 | FC Cape Town(away) | 3-2 | 1st Division |
| Apr 1, 2017 | Real Kings FC(away) | 1-5 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Black Leopards(away) | 2-3 | 1st Division |
| Apr 23, 2017 | Cape Town ALL Stars(home) | 3-1 | 1st Division |
| Apr 19, 2017 | Royal Eagles(away) | 3-1 | 1st Division |
| Apr 16, 2017 | Magesi(home) | 3-0 | 1st Division |
| Apr 1, 2017 | Stellenbosch(away) | 2-1 | 1st Division |
What does the head-to-head say?
In the last meeting: 0 Milano United wins, 0 draws, 1 Amazulu win.
| Date | Score | Competition |
|---|---|---|
| Dec 18, 2016 | Amazulu 6-1 Milano United | 1st Division |
Last archived meeting: Amazulu vs Milano United on Dec 18, 2016
How many goals should we expect?
Milano United score 1.3 and concede 2.4 goals per match over their last 15; Amazulu score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Milano United | 1.3 | 2.4 | 2 | 9/15 | 10/15 |
| Amazulu | 2.1 | 1.4 | 3 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Milano United vs Amazulu?
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