Dauphins Noirs vs Tshinkunku: result 1-0 and analysis
Ligue 1Regular Season - 4Kick-off on October 10, 2021 at 01:30 PM (UTC)Stade des Volcans, Goma
Full time
What was the result of Dauphins Noirs vs Tshinkunku?
Dauphins Noirs won 1-0 on October 10, 2021.
Goalscorers
- 33′?Dauphins Noirs
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dauphins Noirs have 7 wins, 2 draws and 6 defeats; Tshinkunku have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2021 | Etoile de Kivu(home) | 2-0 | Ligue 1 |
| Sep 24, 2021 | Renaissance(home) | 0-0 | Ligue 1 |
| Sep 21, 2021 | Vita Club(home) | 1-2 | Ligue 1 |
| Jun 26, 2021 | Rangers(home) | 3-0 | Ligue 1 |
| Jun 9, 2021 | Sanga Balende(home) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2021 | RCK(away) | 1-1 | Ligue 1 |
| Sep 19, 2021 | Kuya Sport(away) | 0-1 | Ligue 1 |
| Sep 16, 2021 | JSK(away) | 1-1 | Ligue 1 |
How many goals should we expect?
Dauphins Noirs score 1.2 and concede 0.9 goals per match over their last 15; Tshinkunku score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dauphins Noirs | 1.2 | 0.9 | 7 | 6/15 | 7/15 |
| Tshinkunku | 0.7 | 1.0 | 0 | 2/3 | 0/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dauphins Noirs sit 4th in Ligue 1 (45 points from 26 matches) and Tshinkunku sit 13th (31 points from 30 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 | Tshinkunku | 30 | 7 | 10 | 13 | 23 | 41 | 31 |
A question about Dauphins Noirs vs Tshinkunku?
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
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