Renaissance vs Dauphins Noirs: result 3-0 and analysis
Ligue 1Regular Season - 7Kick-off on October 12, 2019 at 04:30 PM (UTC)Stade des Martyrs de la Pentecôte, Kinshasa
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What was the result of Renaissance vs Dauphins Noirs?
Renaissance won 3-0 on October 12, 2019.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Renaissance have 3 wins, 0 draws and 1 defeat; Dauphins Noirs have 2, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2019 | Nyuki(home) | 3-0 | Ligue 1 |
| Oct 5, 2019 | Don Bosco(home) | 1-0 | Ligue 1 |
| Sep 2, 2019 | Sanga Balende(home) | 0-3 | Ligue 1 |
| Aug 17, 2019 | RCK(home) | 3-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2019 | RCK(away) | 0-1 | Ligue 1 |
| Oct 6, 2019 | Motema Pembe(away) | 0-1 | Ligue 1 |
| Oct 1, 2019 | Rangers(away) | 0-4 | Ligue 1 |
| Sep 28, 2019 | Nyuki(home) | 3-0 | Ligue 1 |
| Sep 21, 2019 | Lubumbashi Sport(home) | 2-0 | Ligue 1 |
How many goals should we expect?
Renaissance score 1.8 and concede 1.0 goals per match over their last 4; Dauphins Noirs score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Renaissance | 1.8 | 1.0 | 2 | 1/4 | 3/4 |
| Dauphins Noirs | 0.9 | 1.7 | 2 | 1/7 | 4/7 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Renaissance sit 13th in Ligue 1 (22 points from 26 matches) and Dauphins Noirs sit 4th (45 points from 26 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dauphins Noirs | 26 | 13 | 6 | 7 | 35 | 20 | 45 |
| 13 | Renaissance | 26 | 4 | 10 | 12 | 14 | 33 | 22 |
A question about Renaissance vs Dauphins Noirs?
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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