Match

Dauphins Noirs vs JSK: prediction and stats

Ligue 1Regular Season - 19Kick-off on March 2, 2025 at 01:00 PM (UTC)Stade des Volcans, Goma

Dauphins NoirsJSK

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dauphins Noirs have 7 wins, 1 draw and 7 defeats; JSK have 7, 4 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Dauphins Noirs
DateOpponentScoreCompetition
Dec 28, 2024Vita Club(home)1-0Ligue 1
Dec 21, 2024Kuya Sport(away)0-2Ligue 1
Dec 11, 2024Motema Pembe(home)2-0Ligue 1
Nov 20, 2024Rangers(home)1-2Ligue 1
Nov 16, 2024Céleste(home)1-0Ligue 1
JSK
DateOpponentScoreCompetition
Feb 27, 2025Maniema Union(away)0-1Ligue 1
Feb 23, 2025New Jack(home)2-1Ligue 1
Feb 15, 2025Anges Verts(away)1-0Ligue 1
Dec 17, 2024Rangers(home)0-1Ligue 1
Dec 15, 2024Kuya Sport(away)2-1Ligue 1

What does the head-to-head say?

Across the last 6 meetings: 2 Dauphins Noirs wins, 1 draw, 3 JSK wins.

DateScoreCompetition
Oct 31, 2024JSK 2-1 Dauphins NoirsLigue 1
May 22, 2024JSK 1-0 Dauphins NoirsLigue 1
Mar 14, 2024Dauphins Noirs 1-0 JSKLigue 1
Nov 21, 2023JSK 1-1 Dauphins NoirsLigue 1
Oct 1, 2023Dauphins Noirs 2-0 JSKLigue 1
Feb 2, 2022Dauphins Noirs 1-2 JSKLigue 1

Last archived meeting: JSK vs Dauphins Noirs on Oct 31, 2024

How many goals should we expect?

Dauphins Noirs score 1.2 and concede 1.3 goals per match over their last 15; JSK score 1.2 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dauphins Noirs1.21.355/157/15
JSK1.20.747/155/15

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 JSK sit 3rd (48 points from 26 matches).

The current season has no played match yet: final standings of the 2025-26 season.

Final 2025-26 standings
#ClubPWDLGFGAPts
3JSK261394321648
4Dauphins Noirs261367352045

A question about Dauphins Noirs vs JSK?

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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