Paidha Black Angels vs KCCA: result 0-2 and analysis
Premier LeagueRegular Season - 26Kick-off on April 9, 2019 at 01:30 PM (UTC)Barokoro Ground, Zombo
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What was the result of Paidha Black Angels vs KCCA?
KCCA won 0-2 on April 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paidha Black Angels have 1 wins, 5 draws and 9 defeats; KCCA have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2019 | Express(away) | 0-2 | Premier League |
| Mar 13, 2019 | Police(away) | 2-4 | Premier League |
| Mar 6, 2019 | URA(home) | 0-2 | Premier League |
| Mar 1, 2019 | Mbarara City(away) | 1-2 | Premier League |
| Feb 26, 2019 | Maroons(away) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2019 | Vipers(home) | 1-1 | Premier League |
| Mar 27, 2019 | Busoga United(away) | 2-0 | Premier League |
| Mar 6, 2019 | Tooro United(away) | 1-1 | Premier League |
| Mar 2, 2019 | SC Villa(home) | 4-2 | Premier League |
| Feb 26, 2019 | URA(home) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Paidha Black Angels win(s), 0 draw(s), 1 KCCA win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 18, 2018 | KCCA 3-0 Paidha Black Angels | Premier League |
Last archived meeting: KCCA vs Paidha Black Angels on Dec 18, 2018
How many goals should we expect?
Paidha Black Angels score 0.7 and concede 1.6 goals per match over their last 15; KCCA score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paidha Black Angels | 0.7 | 1.6 | 3 | 6/15 | 6/15 |
| KCCA | 1.8 | 0.9 | 7 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | KCCA | 30 | 19 | 5 | 6 | 46 | 22 | 62 |
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