MYDA vs SC Villa: result 1-2 and analysis
Premier LeagueRegular Season - 16Kick-off on April 1, 2021 at 01:00 PM (UTC)King George IV Memorial Stadium, Tororo
Full time
What was the result of MYDA vs SC Villa?
SC Villa won 1-2 on April 1, 2021.
Goalscorers
- 5′?SC Villa
- 45′?SC Villa
- 76′?MYDA
What is the recent form of both teams?
Over their last 15 matches in all competitions, MYDA have 1 win, 3 draws and 11 defeats; SC Villa have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2021 | Kyetume(away) | 1-0 | Premier League |
| Mar 12, 2021 | UPDF(home) | 0-3 | Premier League |
| Mar 9, 2021 | Busoga United(away) | 0-1 | Premier League |
| Mar 5, 2021 | Kitara(home) | 2-2 | Premier League |
| Mar 2, 2021 | Wakiso Giants(away) | 2-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2021 | Bright Stars(away) | 2-1 | Premier League |
| Mar 14, 2021 | Onduparaka(home) | 1-0 | Premier League |
| Mar 10, 2021 | Vipers(away) | 0-3 | Premier League |
| Mar 6, 2021 | Police(home) | 2-2 | Premier League |
| Mar 2, 2021 | Kyetume(away) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 MYDA wins, 0 draws, 1 SC Villa win.
| Date | Score | Competition |
|---|---|---|
| Feb 13, 2021 | SC Villa 1-0 MYDA | Premier League |
How many goals should we expect?
MYDA score 1.1 and concede 2.9 goals per match over their last 15; SC Villa score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MYDA | 1.1 | 2.9 | 1 | 9/15 | 12/15 |
| SC Villa | 1.4 | 1.2 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SC Villa | 5 | 3 | 2 | 0 | 8 | 2 | 11 |
A question about MYDA vs SC Villa?
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