JSK vs Groupe Bazano: result 1-1 and analysis
Ligue 1Regular Season - 4Kick-off on October 28, 2020 at 12:30 PM (UTC)Stade des Martyrs de la Pentecôte, Kinshasa
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What was the result of JSK vs Groupe Bazano?
JSK and Groupe Bazano drew 1-1 on October 28, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, JSK have 0 wins, 2 draws and 3 defeats; Groupe Bazano have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | Rangers(home) | 1-1 | Ligue 1 |
| Oct 21, 2020 | TP Mazembe(home) | 1-2 | Ligue 1 |
| Oct 14, 2020 | Vita Club(home) | 0-2 | Ligue 1 |
| Oct 10, 2020 | Maniema Union(home) | 1-1 | Ligue 1 |
| Oct 7, 2020 | Renaissance(home) | 2-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2020 | Renaissance(away) | 0-1 | Ligue 1 |
| Oct 18, 2020 | Blessing(home) | 0-0 | Ligue 1 |
| Oct 10, 2020 | Saint Eloi Lupopo(home) | 0-1 | Ligue 1 |
| Oct 4, 2020 | Simba(away) | 0-0 | Ligue 1 |
| Mar 1, 2020 | Lubumbashi Sport(home) | 1-0 | Ligue 1 |
How many goals should we expect?
JSK score 1.0 and concede 1.8 goals per match over their last 5; Groupe Bazano score 0.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSK | 1.0 | 1.8 | 0 | 4/5 | 2/5 |
| Groupe Bazano | 0.7 | 0.5 | 9 | 2/15 | 3/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
JSK sit 3rd in Ligue 1 (48 points from 26 matches) and Groupe Bazano sit 14th (30 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | JSK | 26 | 13 | 9 | 4 | 32 | 16 | 48 |
| 14 | Groupe Bazano | 30 | 7 | 9 | 14 | 26 | 38 | 30 |
A question about JSK vs Groupe Bazano?
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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