Kitara vs MYDA: result 3-1 and analysis
Premier LeagueRegular Season - 25Kick-off on May 18, 2021 at 01:00 PM (UTC)The Royals Park, Butema
Full time
What was the result of Kitara vs MYDA?
Kitara won 3-1 on May 18, 2021.
Goalscorers
- 10′?Kitara
- 38′?Kitara
- 44′?Kitara
- 90′?MYDA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kitara have 2 wins, 3 draws and 10 defeats; MYDA have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Wakiso Giants(away) | 2-7 | Premier League |
| May 12, 2021 | BUL(home) | 2-2 | Premier League |
| May 8, 2021 | Busoga United(home) | 2-2 | Premier League |
| Apr 27, 2021 | Kyetume(home) | 4-2 | Premier League |
| Apr 24, 2021 | UPDF(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2021 | Busoga United(home) | 3-0 | Premier League |
| May 11, 2021 | UPDF(away) | 1-1 | Premier League |
| May 7, 2021 | Kyetume(home) | 2-2 | Premier League |
| Apr 28, 2021 | Vipers(home) | 0-4 | Premier League |
| Apr 24, 2021 | Police(away) | 1-6 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Kitara wins, 1 draw, 0 MYDA wins.
| Date | Score | Competition |
|---|---|---|
| Mar 5, 2021 | MYDA 2-2 Kitara | Premier League |
How many goals should we expect?
Kitara score 1.5 and concede 2.7 goals per match over their last 15; MYDA score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kitara | 1.5 | 2.7 | 0 | 12/15 | 14/15 |
| MYDA | 1.2 | 2.3 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kitara | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
A question about Kitara vs MYDA?
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