SC Villa vs Kitara: result 3-2 and analysis
Premier LeagueRegular Season - 8Kick-off on February 20, 2021 at 01:00 PM (UTC)Bombo Stadium, Bombo
Full time
What was the result of SC Villa vs Kitara?
SC Villa won 3-2 on February 20, 2021.
Goalscorers
- 19′?Kitara
- 51′?SC Villa
- 69′?SC Villa (pen.)
- 84′?Kitara
- 90′?SC Villa
What is the recent form of both teams?
Over their last 15 matches in all competitions, SC Villa have 9 wins, 3 draws and 3 defeats; Kitara have 0, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2021 | Wakiso Giants(away) | 2-2 | Premier League |
| Feb 13, 2021 | MYDA(home) | 1-0 | Premier League |
| Dec 19, 2020 | Express(away) | 0-1 | Premier League |
| Dec 15, 2020 | KCCA(home) | 2-1 | Premier League |
| Dec 12, 2020 | URA(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2021 | Mbarara City(home) | 0-1 | Premier League |
| Feb 13, 2021 | Bright Stars(away) | 0-5 | Premier League |
| Dec 19, 2020 | Onduparaka(home) | 1-3 | Premier League |
| Dec 16, 2020 | Vipers(away) | 1-2 | Premier League |
| Dec 12, 2020 | Police(home) | 0-5 | Premier League |
How many goals should we expect?
SC Villa score 1.5 and concede 0.9 goals per match over their last 15; Kitara score 0.6 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SC Villa | 1.5 | 0.9 | 6 | 8/15 | 9/15 |
| Kitara | 0.6 | 3.1 | 0 | 4/7 | 5/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
SC Villa sit 3rd in Premier League (11 points from 5 matches) and Kitara sit 6th (8 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SC Villa | 5 | 3 | 2 | 0 | 8 | 2 | 11 |
| 6 | Kitara | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
A question about SC Villa vs Kitara?
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