Match

Milano United vs Black Leopards: result 1-2 and analysis

1st DivisionNational First Division - Round 16Kick-off on February 12, 2017 at 12:30 PM (UTC)

Milano United
1-2
Black Leopards

Full time

What was the result of Milano United vs Black Leopards?

Black Leopards won 1-2 on February 12, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Milano United have 5 wins, 2 draws and 8 defeats; Black Leopards have 5, 6 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Milano United
DateOpponentScoreCompetition
Dec 18, 2016Amazulu(away)1-61st Division
Dec 11, 2016Univ. OF Pretoria FC(home)2-31st Division
Dec 3, 2016Mthatha Bucks(away)1-31st Division
Nov 27, 2016FC Cape Town(home)4-21st Division
Nov 19, 2016Santos FC(home)3-01st Division
Black Leopards
DateOpponentScoreCompetition
Dec 17, 2016Royal Eagles(home)2-11st Division
Dec 11, 2016Magesi(away)0-01st Division
Dec 3, 2016Thanda Royal Zulu FC(home)0-01st Division
Nov 26, 2016Real Kings FC(away)2-11st Division
Nov 19, 2016Mbombela United(home)2-21st Division

What does the head-to-head say?

In the last meeting: 0 Milano United wins, 0 draws, 1 Black Leopards win.

DateScoreCompetition
Sep 24, 2016Black Leopards 4-0 Milano United1st Division

Last archived meeting: Black Leopards vs Milano United on Sep 24, 2016

How many goals should we expect?

Milano United score 1.3 and concede 2.0 goals per match over their last 15; Black Leopards score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Milano United1.32.049/1510/15
Black Leopards1.51.3311/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
15Black Leopards3061014263828

A question about Milano United vs Black Leopards?

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

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