Match

Black Leopards vs Mthatha Bucks: result 0-3 and analysis

1st DivisionNational First Division - Round 30Kick-off on May 14, 2017 at 12:00 PM (UTC)Thohoyandou Stadium, Thohoyandou

Black Leopards
0-3
Mthatha Bucks

Full time

What was the result of Black Leopards vs Mthatha Bucks?

Mthatha Bucks won 0-3 on May 14, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Black Leopards have 10 wins, 2 draws and 3 defeats; Mthatha Bucks have 5, 5 and 5.

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

Black Leopards
DateOpponentScoreCompetition
May 10, 2017Univ. OF Pretoria FC(away)1-01st Division
May 6, 2017Magesi(home)4-11st Division
May 3, 2017Royal Eagles(away)0-01st Division
Apr 29, 2017Amazulu(home)3-21st Division
Apr 26, 2017Jomo Cosmos(away)0-21st Division
Mthatha Bucks
DateOpponentScoreCompetition
May 10, 2017Cape Town ALL Stars(home)1-01st Division
May 6, 2017FC Cape Town(away)0-11st Division
May 3, 2017Univ. OF Pretoria FC(home)0-01st Division
Apr 29, 2017Stellenbosch(away)0-41st Division
Apr 22, 2017Witbank Spurs(home)1-21st Division

What does the head-to-head say?

In the last meeting: 0 Black Leopards wins, 1 draw, 0 Mthatha Bucks wins.

DateScoreCompetition
Oct 1, 2016Mthatha Bucks 2-2 Black Leopards1st Division

Last archived meeting: Mthatha Bucks vs Black Leopards on Oct 1, 2016

How many goals should we expect?

Black Leopards score 1.5 and concede 1.0 goals per match over their last 15; Mthatha Bucks score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Black Leopards1.51.0410/159/15
Mthatha Bucks1.11.348/157/15

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 Black Leopards 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

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