Tshinkunku vs Renaissance: result 0-2 and analysis
Ligue 1Regular Season - 6Kick-off on November 5, 2021 at 01:00 PM (UTC)Stade Kashala Bonzola, Mbuji-Mayi
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What was the result of Tshinkunku vs Renaissance?
Renaissance won 0-2 on November 5, 2021.
Goalscorers
- 38′?Renaissance
- 45′?Renaissance
What is the recent form of both teams?
Over their last 6 matches in all competitions, Tshinkunku have 0 wins, 3 draws and 3 defeats; Renaissance have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2021 | Rangers(away) | 1-2 | Ligue 1 |
| Oct 13, 2021 | Etoile de Kivu(away) | 0-0 | Ligue 1 |
| Oct 10, 2021 | Dauphins Noirs(away) | 0-1 | Ligue 1 |
| Sep 23, 2021 | RCK(away) | 1-1 | Ligue 1 |
| Sep 19, 2021 | Kuya Sport(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2021 | Kuya Sport(home) | 1-1 | Ligue 1 |
| Oct 12, 2021 | Maniema Union(home) | 2-2 | Ligue 1 |
| Oct 4, 2021 | Simba(home) | 1-2 | Ligue 1 |
| Sep 24, 2021 | Dauphins Noirs(away) | 0-0 | Ligue 1 |
| Sep 19, 2021 | Etoile de Kivu(away) | 0-1 | Ligue 1 |
How many goals should we expect?
Tshinkunku score 0.5 and concede 1.0 goals per match over their last 6; Renaissance score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tshinkunku | 0.5 | 1.0 | 1 | 3/6 | 1/6 |
| Renaissance | 0.8 | 1.5 | 4 | 8/15 | 6/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Tshinkunku sit 13th in Ligue 1 (31 points from 30 matches) and Renaissance sit 13th (22 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Tshinkunku | 30 | 7 | 10 | 13 | 23 | 41 | 31 |
| 13 | Renaissance | 26 | 4 | 10 | 12 | 14 | 33 | 22 |
A question about Tshinkunku vs Renaissance?
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