TP Mazembe vs Panda B5: result 1-0 and analysis
Ligue 1Regular Season - 7Kick-off on November 10, 2021 at 01:00 PM (UTC)Stade du TP Mazembe, Lubumbashi
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What was the result of TP Mazembe vs Panda B5?
TP Mazembe won 1-0 on November 10, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, TP Mazembe have 11 wins, 3 draws and 1 defeat; Panda B5 have 0, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Lubumbashi Sport(away) | 3-0 | Ligue 1 |
| Nov 3, 2021 | Groupe Bazano(away) | 1-1 | Ligue 1 |
| Oct 31, 2021 | Simba(home) | 2-0 | Ligue 1 |
| Oct 27, 2021 | Don Bosco(away) | 3-0 | Ligue 1 |
| Oct 23, 2021 | Amazulu(home) | 1-1 | CAF Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Groupe Bazano(home) | 0-1 | Ligue 1 |
| Oct 24, 2021 | Lubumbashi Sport(home) | 0-0 | Ligue 1 |
| Oct 19, 2021 | RCK(away) | 1-1 | Ligue 1 |
| Oct 10, 2021 | Don Bosco(home) | 1-1 | Ligue 1 |
| Sep 30, 2021 | Motema Pembe(home) | 1-1 | Ligue 1 |
How many goals should we expect?
TP Mazembe score 1.8 and concede 0.4 goals per match over their last 15; Panda B5 score 0.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TP Mazembe | 1.8 | 0.4 | 10 | 4/15 | 5/15 |
| Panda B5 | 0.6 | 0.9 | 2 | 4/7 | 1/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
TP Mazembe sit 1st in Ligue 1 (73 points from 30 matches) and Panda B5 sit 16th (16 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | TP Mazembe | 30 | 23 | 4 | 3 | 57 | 12 | 73 |
| 16 | Panda B5 | 30 | 5 | 1 | 24 | 17 | 59 | 16 |
A question about TP Mazembe vs Panda B5?
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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