MYDA vs BUL: result 1-6 and analysis
Premier LeagueRegular Season - 27Kick-off on June 15, 2021 at 01:00 PM (UTC)King George IV Memorial Stadium, Tororo
Full time
What was the result of MYDA vs BUL?
BUL won 1-6 on June 15, 2021.
Goalscorers
- 22′?BUL
- 40′?BUL
- 42′?MYDA (pen.)
- 44′?BUL
- 52′?BUL
- 71′?BUL
- 77′?BUL
What is the recent form of both teams?
Over their last 15 matches in all competitions, MYDA have 3 wins, 3 draws and 9 defeats; BUL have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2021 | Wakiso Giants(home) | 1-2 | Premier League |
| May 18, 2021 | Kitara(away) | 1-3 | Premier League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2021 | Onduparaka(home) | 3-1 | Premier League |
| May 18, 2021 | Wakiso Giants(away) | 1-2 | Premier League |
| May 15, 2021 | Bright Stars(home) | 0-1 | Premier League |
| May 12, 2021 | Kitara(away) | 2-2 | Premier League |
| May 9, 2021 | Mbarara City(home) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 MYDA wins, 0 draws, 1 BUL win.
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2021 | BUL 4-1 MYDA | Premier League |
How many goals should we expect?
MYDA score 1.1 and concede 2.2 goals per match over their last 15; BUL score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MYDA | 1.1 | 2.2 | 2 | 9/15 | 12/15 |
| BUL | 1.3 | 1.5 | 1 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | BUL | 5 | 4 | 1 | 0 | 11 | 3 | 13 |
A question about MYDA vs BUL?
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