JS Talangaï vs Diables Noirs: result 1-6 and analysis
Ligue 1Matchday 8Kick-off on February 28, 2021 at 01:00 PM (UTC)Stade Alphonse Massamba-Débat, Brazzaville
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What was the result of JS Talangaï vs Diables Noirs?
Diables Noirs won 1-6 on February 28, 2021.
What is the recent form of both teams?
Over their last 6 matches in all competitions, JS Talangaï have 1 win, 3 draws and 2 defeats; Diables Noirs have 4, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2021 | V.Club Mokanda(home) | 2-0 | Ligue 1 |
| Feb 21, 2021 | Nico-Nicoyé(away) | 0-1 | Ligue 1 |
| Feb 15, 2021 | Racing Club Brazzavile(away) | 0-0 | Ligue 1 |
| Feb 11, 2021 | Inter Club(home) | 0-0 | Ligue 1 |
| Feb 7, 2021 | Léopards de Dolisié(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2021 | Léopards de Dolisié(away) | 2-2 | Ligue 1 |
| Feb 21, 2021 | Kondzo(away) | 0-1 | Ligue 1 |
| Feb 17, 2021 | Patronage Sainte-Anne(away) | 0-1 | Ligue 1 |
| Feb 11, 2021 | Cheminots(home) | 1-0 | Ligue 1 |
| Feb 8, 2021 | CARA Brazzaville(home) | 1-0 | Ligue 1 |
How many goals should we expect?
JS Talangaï score 0.3 and concede 0.3 goals per match over their last 6; Diables Noirs score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Talangaï | 0.3 | 0.3 | 4 | 0/6 | 0/6 |
| Diables Noirs | 1.0 | 1.9 | 3 | 3/8 | 3/8 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Diables Noirs | 1 | 0 | 0 | 1 | 0 | 2 | 0 |
A question about JS Talangaï vs Diables Noirs?
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