Musongati vs Aigle Noir: result 2-1 and analysis
Ligue ARegular Season - 15Kick-off on November 23, 2019 at 01:00 PM (UTC)Stade Ingoma, Gitega
Full time
What was the result of Musongati vs Aigle Noir?
Musongati won 2-1 on November 23, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Musongati have 6 wins, 6 draws and 1 defeat; Aigle Noir have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Kayanza United(home) | 0-0 | Ligue A |
| Nov 10, 2019 | Bumamuru(home) | 0-0 | Ligue A |
| Nov 3, 2019 | Flambeau du Centre(away) | 1-1 | Ligue A |
| Oct 26, 2019 | Dynamik(home) | 0-0 | Ligue A |
| Oct 12, 2019 | Lydia Ludic(away) | 0-0 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Flambeau du Centre(home) | 5-2 | Ligue A |
| Nov 9, 2019 | Ngozi City(away) | 3-1 | Ligue A |
| Nov 2, 2019 | Athlético Olympic(home) | 1-1 | Ligue A |
| Oct 26, 2019 | Kayanza United(away) | 1-2 | Ligue A |
| Oct 12, 2019 | Bumamuru(home) | 1-3 | Ligue A |
How many goals should we expect?
Musongati score 1.2 and concede 0.6 goals per match over their last 13; Aigle Noir score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Musongati | 1.2 | 0.6 | 6 | 6/13 | 5/13 |
| Aigle Noir | 1.4 | 1.5 | 2 | 11/15 | 9/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Musongati sit 6th in Ligue A (10 points from 7 matches) and Aigle Noir sit 3rd (11 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Aigle Noir | 6 | 3 | 2 | 1 | 11 | 8 | 11 |
| 6 | Musongati | 7 | 3 | 1 | 3 | 8 | 8 | 10 |
A question about Musongati vs Aigle Noir?
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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