Kayanza United vs Bumamuru: result 0-1 and analysis
Ligue ARegular Season - 12Kick-off on November 3, 2019 at 01:00 PM (UTC)Stade Municipal, Muyinga
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What was the result of Kayanza United vs Bumamuru?
Bumamuru won 0-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Kayanza United have 3 wins, 3 draws and 3 defeats; Bumamuru have 6, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Aigle Noir(home) | 2-1 | Ligue A |
| Oct 12, 2019 | Ngozi City(away) | 1-1 | Ligue A |
| Oct 5, 2019 | Lydia Ludic(home) | 2-0 | Ligue A |
| Sep 30, 2019 | Les Lierres(away) | 2-1 | Ligue A |
| Sep 26, 2019 | Bujumbura City(home) | 0-5 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Vital'O(home) | 5-2 | Ligue A |
| Oct 23, 2019 | Lydia Ludic(away) | 1-1 | Ligue A |
| Oct 12, 2019 | Aigle Noir(away) | 3-1 | Ligue A |
| Oct 5, 2019 | Rukinzo(home) | 1-1 | Ligue A |
| Oct 2, 2019 | Le Messager Ngozi(home) | 0-2 | Ligue A |
How many goals should we expect?
Kayanza United score 1.2 and concede 1.7 goals per match over their last 9; Bumamuru score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kayanza United | 1.2 | 1.7 | 2 | 6/9 | 5/9 |
| Bumamuru | 2.0 | 1.0 | 4 | 5/11 | 5/11 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Kayanza United sit 13th in Ligue A (5 points from 7 matches) and Bumamuru sit 4th (10 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bumamuru | 7 | 3 | 1 | 3 | 10 | 7 | 10 |
| 13 | Kayanza United | 7 | 0 | 5 | 2 | 3 | 7 | 5 |
A question about Kayanza United vs Bumamuru?
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