KCCA vs Busoga United: result 5-1 and analysis
Premier LeagueRegular Season - 22Kick-off on May 6, 2017 at 01:00 PM (UTC)MTN Omondi Stadium, Kampala
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What was the result of KCCA vs Busoga United?
KCCA won 5-1 on May 6, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KCCA have 7 wins, 5 draws and 3 defeats; Busoga United have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2017 | JMC Hippos(away) | 1-0 | Premier League |
| Apr 28, 2017 | Express(away) | 1-0 | Premier League |
| Apr 25, 2017 | Vipers(home) | 1-2 | Premier League |
| Apr 22, 2017 | SC Villa(away) | 1-1 | Premier League |
| Apr 19, 2017 | URA(home) | 2-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2017 | URA(away) | 1-1 | Premier League |
| Apr 18, 2017 | SC Villa(home) | 1-0 | Premier League |
| Apr 11, 2017 | Bright Stars(away) | 0-0 | Premier League |
| Apr 7, 2017 | Police(home) | 1-0 | Premier League |
| Mar 31, 2017 | Vipers(home) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 KCCA wins, 1 draw, 0 Busoga United wins.
| Date | Score | Competition |
|---|---|---|
| Oct 11, 2016 | Busoga United 1-1 KCCA | Premier League |
Last archived meeting: Busoga United vs KCCA on Oct 11, 2016
How many goals should we expect?
KCCA score 1.5 and concede 0.8 goals per match over their last 15; Busoga United score 0.7 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KCCA | 1.5 | 0.8 | 6 | 7/15 | 5/15 |
| Busoga United | 0.7 | 0.6 | 7 | 4/15 | 0/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | KCCA | 6 | 3 | 1 | 2 | 4 | 4 | 10 |
A question about KCCA vs Busoga United?
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