Aigle Noir vs Rukinzo: result 2-1 and analysis
Ligue ARegular Season - 7Kick-off on September 26, 2019 at 01:00 PM (UTC)Stade Peace Park Progress, Makamba
Full time
What was the result of Aigle Noir vs Rukinzo?
Aigle Noir won 2-1 on September 26, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aigle Noir have 4 wins, 6 draws and 5 defeats; Rukinzo have 0, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Inter Star(away) | 0-1 | Ligue A |
| Sep 7, 2019 | Dynamik(home) | 3-1 | Ligue A |
| Aug 31, 2019 | Bujumbura City(away) | 2-1 | Ligue A |
| Aug 25, 2019 | GOR Mahia(away) | 1-5 | CAF Champions League |
| Aug 14, 2019 | Les Lierres(home) | 1-2 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Flambeau du Centre(home) | 0-3 | Ligue A |
| Sep 11, 2019 | Vital'O(home) | 2-3 | Ligue A |
| Sep 8, 2019 | Kayanza United(home) | 1-1 | Ligue A |
| Aug 24, 2019 | Triangle United(home) | 0-0 | CAF Confederation Cup |
| Aug 18, 2019 | Musongati(away) | 0-2 | Ligue A |
How many goals should we expect?
Aigle Noir score 0.9 and concede 0.9 goals per match over their last 15; Rukinzo score 0.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aigle Noir | 0.9 | 0.9 | 7 | 5/15 | 5/15 |
| Rukinzo | 0.5 | 2.3 | 1 | 2/6 | 3/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Aigle Noir sit 3rd in Ligue A (11 points from 6 matches) and Rukinzo sit 9th (8 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Aigle Noir | 6 | 3 | 2 | 1 | 11 | 8 | 11 |
| 9 | Rukinzo | 4 | 2 | 2 | 0 | 9 | 1 | 8 |
A question about Aigle Noir vs Rukinzo?
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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