TP Mazembe vs JSK: prediction and stats
Ligue 1Regular Season - 10Kick-off on May 5, 2023 at 01:30 PM (UTC)Stade du TP Mazembe, Lubumbashi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, TP Mazembe have 5 wins, 3 draws and 7 defeats; JSK have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | Young Africans(home) | 0-1 | CAF Confederation Cup |
| Mar 19, 2023 | Réal Bamako(away) | 1-2 | CAF Confederation Cup |
| Mar 8, 2023 | US Monastirienne(away) | 0-1 | CAF Confederation Cup |
| Feb 26, 2023 | US Monastirienne(home) | 0-2 | CAF Confederation Cup |
| Feb 19, 2023 | Young Africans(away) | 1-3 | CAF Confederation Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2022 | Tshinkunku(home) | 1-1 | Ligue 1 |
| Nov 23, 2022 | Maniema Union(home) | 0-1 | Ligue 1 |
| Nov 17, 2022 | Renaissance(home) | 1-0 | Ligue 1 |
| Nov 13, 2022 | Vita Club(home) | 1-1 | Ligue 1 |
| Nov 10, 2022 | Etoile de Kivu(home) | 1-0 | Ligue 1 |
What does the head-to-head say?
Across the last 3 meetings: 2 TP Mazembe wins, 1 draw, 0 JSK wins.
| Date | Score | Competition |
|---|---|---|
| Nov 14, 2021 | TP Mazembe 3-0 JSK | Ligue 1 |
| Apr 25, 2021 | TP Mazembe 2-2 JSK | Ligue 1 |
| Oct 21, 2020 | JSK 1-2 TP Mazembe | Ligue 1 |
How many goals should we expect?
TP Mazembe score 1.1 and concede 1.0 goals per match over their last 15; JSK score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TP Mazembe | 1.1 | 1.0 | 5 | 6/15 | 6/15 |
| JSK | 0.6 | 1.1 | 5 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | JSK | 3 | 1 | 0 | 2 | 3 | 4 | 3 |
A question about TP Mazembe 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