Vipers vs MYDA: result 7-0 and analysis
Premier LeagueRegular Season - 1Kick-off on February 6, 2021 at 12:00 PM (UTC)St. Mary's Stadium, Kitende
Full time
What was the result of Vipers vs MYDA?
Vipers won 7-0 on February 6, 2021.
Goalscorers
- 10′Y. SentamuVipers
- 28′Y. SentamuVipers
- 39′?Vipers
- 45′Paul MucureeziVipers
- 58′Paul MucureeziVipers
- 84′?Vipers
- 87′?Vipers
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vipers have 7 wins, 4 draws and 4 defeats; MYDA have 0, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 20, 2020 | Busoga United(away) | 5-3 | Premier League |
| Dec 16, 2020 | Kitara(home) | 2-1 | Premier League |
| Dec 12, 2020 | Wakiso Giants(away) | 1-1 | Premier League |
| Dec 6, 2020 | Al Hilal Omdurman(away) | 0-1 | CAF Champions League |
| Nov 28, 2020 | Al Hilal Omdurman(home) | 0-1 | CAF Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | Mbarara City(home) | 3-3 | Premier League |
| Dec 15, 2020 | Bright Stars(away) | 2-3 | Premier League |
| Dec 11, 2020 | Onduparaka(home) | 2-3 | Premier League |
| Dec 8, 2020 | Police(home) | 1-3 | Premier League |
How many goals should we expect?
Vipers score 1.5 and concede 1.0 goals per match over their last 15; MYDA score 2.0 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vipers | 1.5 | 1.0 | 6 | 6/15 | 6/15 |
| MYDA | 2.0 | 3.0 | 0 | 4/4 | 4/4 |
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 | Vipers | 4 | 2 | 1 | 1 | 8 | 2 | 7 |
A question about Vipers vs MYDA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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