Simba vs Vipers: result 0-3 and analysis
Premier LeagueRegular Season - 9Kick-off on November 1, 2013 at 02:30 PM (UTC)Bombo Stadium, Bombo
Full time
What was the result of Simba vs Vipers?
Vipers won 0-3 on November 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 3 wins, 6 draws and 6 defeats; Vipers 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 |
|---|---|---|---|
| Oct 25, 2013 | Entebbe(away) | 1-1 | Premier League |
| Oct 22, 2013 | Masaka LC(home) | 1-0 | Premier League |
| Oct 18, 2013 | Bright Stars(away) | 1-1 | Premier League |
| Oct 8, 2013 | Tooro United(home) | 1-1 | Premier League |
| Oct 1, 2013 | Police(away) | 2-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2013 | URA(away) | 0-0 | Premier League |
| Oct 22, 2013 | BUL(home) | 1-0 | Premier League |
| Oct 15, 2013 | Proline(away) | 3-1 | Premier League |
| Oct 8, 2013 | KCCA(home) | 2-1 | Premier League |
| Oct 4, 2013 | Kira Young(away) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Simba win, 1 draw, 0 Vipers wins.
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2013 | Simba 1-1 Vipers | Premier League |
| Nov 8, 2012 | Vipers 1-2 Simba | Premier League |
How many goals should we expect?
Simba score 0.7 and concede 1.1 goals per match over their last 15; Vipers score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 0.7 | 1.1 | 5 | 6/15 | 4/15 |
| Vipers | 1.3 | 0.9 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Vipers | 4 | 2 | 1 | 1 | 8 | 2 | 7 |
A question about Simba vs Vipers?
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