San-Pédro vs ASEC Mimosas: result 0-1 and analysis
Ligue 1Regular Season - 7Kick-off on December 28, 2016 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of San-Pédro vs ASEC Mimosas?
ASEC Mimosas won 0-1 on December 28, 2016.
What is the recent form of both teams?
Over their last 6 matches in all competitions, San-Pédro have 0 wins, 3 draws and 3 defeats; ASEC Mimosas have 3, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2016 | Moossou(home) | 0-1 | Ligue 1 |
| Dec 17, 2016 | AFAD(away) | 2-2 | Ligue 1 |
| Dec 10, 2016 | Denguélé(home) | 2-2 | Ligue 1 |
| Dec 3, 2016 | WAC(away) | 2-3 | Ligue 1 |
| Nov 26, 2016 | Séwé Sport(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2016 | Tanda(away) | 1-1 | Ligue 1 |
| Dec 17, 2016 | Sporting Gagnoa(home) | 0-1 | Ligue 1 |
| Dec 10, 2016 | Séwé Sport(away) | 1-0 | Ligue 1 |
| Dec 3, 2016 | JCAT(home) | 4-0 | Ligue 1 |
| Nov 25, 2016 | Moossou(home) | 0-0 | Ligue 1 |
How many goals should we expect?
San-Pédro score 1.2 and concede 1.7 goals per match over their last 6; ASEC Mimosas score 1.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 1.2 | 1.7 | 0 | 4/6 | 3/6 |
| ASEC Mimosas | 1.7 | 0.5 | 3 | 2/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
San-Pédro sit 5th in Ligue 1 (6 points from 3 matches) and ASEC Mimosas sit 13th (2 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | San-Pédro | 3 | 2 | 0 | 1 | 5 | 1 | 6 |
| 13 | ASEC Mimosas | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
A question about San-Pédro vs ASEC Mimosas?
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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