Blessing vs JSK: result 1-3 and analysis
Ligue 1Regular Season - 8Kick-off on December 1, 2020 at 02:30 PM (UTC)Stade Dominique Diur, Kolwezi
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What was the result of Blessing vs JSK?
JSK won 1-3 on December 1, 2020.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Blessing have 2 wins, 6 draws and 2 defeats; JSK have 2, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2020 | Simba(home) | 2-2 | Ligue 1 |
| Nov 11, 2020 | RCK(home) | 0-2 | Ligue 1 |
| Nov 8, 2020 | Rangers(away) | 0-1 | Ligue 1 |
| Nov 4, 2020 | Renaissance(home) | 2-0 | Ligue 1 |
| Oct 31, 2020 | Motema Pembe(home) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2020 | Simba(away) | 0-1 | Ligue 1 |
| Nov 25, 2020 | Don Bosco(away) | 2-0 | Ligue 1 |
| Nov 14, 2020 | Lubumbashi Sport(away) | 0-0 | Ligue 1 |
| Nov 5, 2020 | RCK(away) | 1-1 | Ligue 1 |
| Nov 1, 2020 | Dauphins Noirs(away) | 1-0 | Ligue 1 |
How many goals should we expect?
Blessing score 0.8 and concede 0.7 goals per match over their last 10; JSK score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blessing | 0.8 | 0.7 | 6 | 2/10 | 2/10 |
| JSK | 0.9 | 1.1 | 3 | 6/11 | 2/11 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Blessing sit 8th in Ligue 1 (40 points from 30 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.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | JSK | 26 | 13 | 9 | 4 | 32 | 16 | 48 |
| 8 | Blessing | 30 | 11 | 7 | 12 | 33 | 31 | 40 |
A question about Blessing 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