Kyetume vs KCCA: result 0-1 and analysis
Premier LeagueRegular Season - 13Kick-off on March 9, 2021 at 01:00 PM (UTC)FUFA Technical Centre, Njeru
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What was the result of Kyetume vs KCCA?
KCCA won 0-1 on March 9, 2021.
Goalscorers
- 67′?KCCA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kyetume have 3 wins, 6 draws and 6 defeats; KCCA have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2021 | URA(away) | 0-2 | Premier League |
| Mar 2, 2021 | SC Villa(home) | 0-1 | Premier League |
| Feb 27, 2021 | Mbarara City(away) | 1-3 | Premier League |
| Feb 23, 2021 | Bright Stars(home) | 2-2 | Premier League |
| Feb 19, 2021 | Onduparaka(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2021 | UPDF(home) | 6-1 | Premier League |
| Mar 2, 2021 | Busoga United(away) | 4-0 | Premier League |
| Feb 27, 2021 | Kitara(home) | 4-0 | Premier League |
| Feb 23, 2021 | Wakiso Giants(away) | 1-1 | Premier League |
| Feb 20, 2021 | MYDA(home) | 5-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Kyetume wins, 0 draws, 2 KCCA wins.
| Date | Score | Competition |
|---|---|---|
| Jan 28, 2020 | Kyetume 0-2 KCCA | Premier League |
| Nov 23, 2019 | KCCA 5-2 Kyetume | Premier League |
How many goals should we expect?
Kyetume score 1.1 and concede 1.6 goals per match over their last 15; KCCA score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kyetume | 1.1 | 1.6 | 2 | 10/15 | 7/15 |
| KCCA | 2.6 | 0.9 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | KCCA | 5 | 2 | 1 | 2 | 2 | 4 | 7 |
A question about Kyetume vs KCCA?
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