Dynamik vs Aigle Noir: result 4-1 and analysis
Ligue ARegular Season - 27Kick-off on April 5, 2020 at 02:00 PM (UTC)Stade Intwari, Bujumbura
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What was the result of Dynamik vs Aigle Noir?
Dynamik won 4-1 on April 5, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamik have 6 wins, 4 draws and 5 defeats; Aigle Noir have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2020 | Olympic Star(away) | 1-0 | Ligue A |
| Mar 14, 2020 | Rukinzo(away) | 0-1 | Ligue A |
| Mar 7, 2020 | Les Lierres(home) | 1-0 | Ligue A |
| Feb 29, 2020 | Athlético Olympic(home) | 0-1 | Ligue A |
| Feb 22, 2020 | Musongati(home) | 0-1 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 22, 2020 | Bumamuru(away) | 1-0 | Ligue A |
| Mar 15, 2020 | Athlético Olympic(away) | 5-1 | Ligue A |
| Mar 8, 2020 | Vital'O(home) | 1-1 | Ligue A |
| Mar 4, 2020 | Le Messager Ngozi(home) | 0-2 | Ligue A |
| Mar 1, 2020 | Ngozi City(home) | 2-2 | Ligue A |
What does the head-to-head say?
In the last meeting: 0 Dynamik wins, 0 draws, 1 Aigle Noir win.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2019 | Aigle Noir 3-1 Dynamik | Ligue A |
How many goals should we expect?
Dynamik score 0.9 and concede 0.8 goals per match over their last 15; Aigle Noir score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamik | 0.9 | 0.8 | 5 | 6/15 | 3/15 |
| Aigle Noir | 2.1 | 1.2 | 2 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Aigle Noir | 5 | 3 | 1 | 1 | 10 | 7 | 10 |
A question about Dynamik 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