Simba vs Vipers: result 1-1 and analysis
Premier LeagueRegular Season - 18Kick-off on March 26, 2013 at 01:30 PM (UTC)KMC Stadium, Dar es Salaam
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What was the result of Simba vs Vipers?
Simba and Vipers drew 1-1 on March 26, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 5 wins, 3 draws and 7 defeats; Vipers have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2013 | BUL(away) | 1-0 | Premier League |
| Mar 8, 2013 | Aurum Roses(home) | 0-0 | Premier League |
| Mar 1, 2013 | Water(away) | 0-1 | Premier League |
| Feb 22, 2013 | Victors(away) | 0-1 | Premier League |
| Feb 15, 2013 | URA(home) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2013 | Water(home) | 1-0 | Premier League |
| Mar 8, 2013 | Police(away) | 1-2 | Premier League |
| Mar 1, 2013 | KCCA(away) | 0-1 | Premier League |
| Feb 26, 2013 | Victors(away) | 0-0 | Premier League |
| Feb 22, 2013 | SCVU(home) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Simba win, 0 draws, 0 Vipers wins.
| Date | Score | Competition |
|---|---|---|
| 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 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 0.7 | 1.1 | 6 | 4/15 | 5/15 |
| Vipers | 1.0 | 0.5 | 10 | 3/15 | 3/15 |
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.
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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