Stella vs San-Pédro: result 1-2 and analysis
Ligue 1Regular Season - 1Kick-off on November 21, 2021 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of Stella vs San-Pédro?
San-Pédro won 1-2 on November 21, 2021.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Stella have 4 wins, 1 draw and 7 defeats; San-Pédro have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2021 | Bouaké(home) | 1-0 | Ligue 1 |
| May 20, 2021 | SOL(away) | 0-2 | Ligue 1 |
| May 13, 2021 | ASEC Mimosas(away) | 2-5 | Ligue 1 |
| May 9, 2021 | Racing d'Abidjan(home) | 0-0 | Ligue 1 |
| May 3, 2021 | Tanda(away) | 2-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | ASFA-Yennenga(home) | 1-2 | CAF Confederation Cup |
| Sep 12, 2021 | ASFA-Yennenga(away) | 0-0 | CAF Confederation Cup |
| Jun 26, 2021 | ASEC Mimosas(away) | 0-0 | Ligue 1 |
| Jun 20, 2021 | AFAD(home) | 3-0 | Ligue 1 |
| Jun 17, 2021 | SOA(away) | 0-1 | Ligue 1 |
How many goals should we expect?
Stella score 0.9 and concede 1.7 goals per match over their last 12; San-Pédro score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stella | 0.9 | 1.7 | 4 | 6/12 | 6/12 |
| San-Pédro | 1.1 | 0.7 | 8 | 4/15 | 4/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Stella sit 12th in Ligue 1 (2 points from 3 matches) and San-Pédro sit 4th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | San-Pédro | 3 | 2 | 0 | 1 | 5 | 1 | 6 |
| 12 | Stella | 3 | 0 | 2 | 1 | 2 | 3 | 2 |
A question about Stella vs San-Pédro?
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