Nyamityobora vs KCCA: result 0-2 and analysis
Premier LeagueRegular Season - 29Kick-off on May 1, 2019 at 01:30 PM (UTC)Kakyeka Stadium, Mbarara
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What was the result of Nyamityobora vs KCCA?
KCCA won 0-2 on May 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nyamityobora have 2 wins, 4 draws and 9 defeats; KCCA have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2019 | Tooro United(home) | 0-3 | Premier League |
| Apr 20, 2019 | Maroons(home) | 0-4 | Premier League |
| Apr 9, 2019 | Ndejje University(away) | 1-3 | Premier League |
| Apr 5, 2019 | URA(home) | 1-1 | Premier League |
| Mar 13, 2019 | Bright Stars(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2019 | Ndejje University(away) | 1-1 | Premier League |
| Apr 20, 2019 | Express(home) | 3-1 | Premier League |
| Apr 9, 2019 | Paidha Black Angels(away) | 2-0 | Premier League |
| Apr 4, 2019 | Vipers(home) | 1-1 | Premier League |
| Mar 27, 2019 | Busoga United(away) | 2-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Nyamityobora wins, 0 draws, 1 KCCA win.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2018 | KCCA 6-1 Nyamityobora | Premier League |
How many goals should we expect?
Nyamityobora score 0.7 and concede 1.7 goals per match over their last 15; KCCA score 1.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nyamityobora | 0.7 | 1.7 | 3 | 6/15 | 8/15 |
| KCCA | 1.7 | 0.8 | 7 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | KCCA | 6 | 3 | 1 | 2 | 4 | 4 | 10 |
A question about Nyamityobora vs KCCA?
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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