Kitara vs URA: result 2-3 and analysis
Premier LeagueRegular Season - 9Kick-off on February 24, 2021 at 01:00 PM (UTC)Kavumba Recreation Center, Wakiso
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What was the result of Kitara vs URA?
URA won 2-3 on February 24, 2021.
Goalscorers
- 2′?Kitara (pen.)
- 5′S. MukwalaURA
- 9′?URA
- 37′Shafiq Kuchi KagimuURA
- 54′?Kitara (pen.)
What is the recent form of both teams?
Over their last 8 matches in all competitions, Kitara have 0 wins, 1 draw and 7 defeats; URA have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2021 | SC Villa(away) | 2-3 | Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2021 | Wakiso Giants(home) | 0-0 | Premier League |
| Feb 17, 2021 | MYDA(away) | 3-2 | Premier League |
| Feb 14, 2021 | Express(home) | 0-1 | Premier League |
| Dec 18, 2020 | KCCA(away) | 2-1 | Premier League |
| Dec 15, 2020 | BUL(away) | 2-0 | Premier League |
How many goals should we expect?
Kitara score 0.8 and concede 3.1 goals per match over their last 8; URA score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kitara | 0.8 | 3.1 | 0 | 5/8 | 6/8 |
| URA | 1.3 | 1.1 | 3 | 10/15 | 8/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Kitara sit 7th in Premier League (8 points from 4 matches) and URA sit 15th (3 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kitara | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
| 15 | URA | 4 | 1 | 0 | 3 | 3 | 7 | 3 |
A question about Kitara vs URA?
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