KCCA vs Vipers: result 1-0 and analysis
Premier LeagueRegular Season - 16Kick-off on March 1, 2013 at 01:30 PM (UTC)MTN Omondi Stadium, Kampala
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What was the result of KCCA vs Vipers?
KCCA won 1-0 on March 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KCCA have 9 wins, 5 draws and 1 defeat; Vipers have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2013 | BUL(home) | 2-2 | Premier League |
| Feb 15, 2013 | Masaka LC(away) | 2-0 | Premier League |
| Feb 7, 2013 | Entebbe(home) | 1-0 | Premier League |
| Jan 31, 2013 | SCVU(away) | 1-1 | Premier League |
| Jan 14, 2013 | BUL(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2013 | Victors(away) | 0-0 | Premier League |
| Feb 22, 2013 | SCVU(home) | 1-1 | Premier League |
| Feb 15, 2013 | Express(away) | 0-0 | Premier League |
| Feb 7, 2013 | Masaka LC(home) | 1-0 | Premier League |
| Feb 4, 2013 | Entebbe(away) | 0-2 | Premier League |
What does the head-to-head say?
In the last meeting: 0 KCCA wins, 0 draws, 1 Vipers win.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2012 | Vipers 2-1 KCCA | Premier League |
How many goals should we expect?
KCCA score 1.7 and concede 0.8 goals per match over their last 15; Vipers score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KCCA | 1.7 | 0.8 | 6 | 9/15 | 7/15 |
| Vipers | 1.3 | 0.5 | 10 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
KCCA sit 5th in Premier League (10 points from 6 matches) and Vipers sit 8th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | KCCA | 6 | 3 | 1 | 2 | 4 | 4 | 10 |
| 8 | Vipers | 4 | 2 | 1 | 1 | 8 | 2 | 7 |
A question about KCCA 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