Milano United vs Mthatha Bucks: result 2-0 and analysis
1st DivisionNational First Division - Round 24Kick-off on April 18, 2017 at 12:00 PM (UTC)
Full time
What was the result of Milano United vs Mthatha Bucks?
Milano United won 2-0 on April 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Milano United have 5 wins, 0 draws and 10 defeats; Mthatha Bucks have 5, 9 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | FC Cape Town(away) | 3-2 | 1st Division |
| Apr 1, 2017 | Real Kings FC(away) | 1-5 | 1st Division |
| Mar 18, 2017 | Thanda Royal Zulu FC(home) | 0-2 | 1st Division |
| Mar 4, 2017 | Magesi(away) | 0-1 | 1st Division |
| Feb 26, 2017 | Royal Eagles(home) | 2-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Santos FC(home) | 1-0 | 1st Division |
| Apr 1, 2017 | Mbombela United(away) | 1-1 | 1st Division |
| Mar 18, 2017 | Real Kings FC(home) | 2-1 | 1st Division |
| Mar 5, 2017 | Thanda Royal Zulu FC(away) | 1-1 | 1st Division |
| Feb 25, 2017 | Magesi(home) | 3-2 | 1st Division |
What does the head-to-head say?
In the last meeting: 0 Milano United wins, 0 draws, 1 Mthatha Bucks win.
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2016 | Mthatha Bucks 3-1 Milano United | 1st Division |
Last archived meeting: Mthatha Bucks vs Milano United on Dec 3, 2016
How many goals should we expect?
Milano United score 1.5 and concede 2.2 goals per match over their last 15; Mthatha Bucks score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Milano United | 1.5 | 2.2 | 3 | 9/15 | 10/15 |
| Mthatha Bucks | 1.5 | 1.1 | 3 | 12/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Milano United 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