Stade d'Abidjan vs San-Pédro: result 3-0 and analysis
Ligue 1Regular Season - 13Kick-off on March 6, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Stade d'Abidjan vs San-Pédro?
Stade d'Abidjan won 3-0 on March 6, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Stade d'Abidjan have 2 wins, 5 draws and 5 defeats; San-Pédro have 3, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2017 | Sporting Gagnoa(away) | 1-2 | Ligue 1 |
| Feb 26, 2017 | ASEC Mimosas(away) | 0-0 | Ligue 1 |
| Feb 21, 2017 | WAC(away) | 1-1 | Ligue 1 |
| Jan 11, 2017 | Moossou(home) | 3-4 | Ligue 1 |
| Jan 5, 2017 | SOA(home) | 2-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2017 | SOA(home) | 2-0 | Ligue 1 |
| Feb 26, 2017 | Sporting Gagnoa(home) | 4-0 | Ligue 1 |
| Feb 18, 2017 | JCAT(home) | 2-1 | Ligue 1 |
| Jan 12, 2017 | Tanda(home) | 0-0 | Ligue 1 |
| Jan 4, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
How many goals should we expect?
Stade d'Abidjan score 0.8 and concede 1.2 goals per match over their last 12; San-Pédro score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade d'Abidjan | 0.8 | 1.2 | 4 | 5/12 | 3/12 |
| San-Pédro | 1.3 | 1.0 | 4 | 5/12 | 5/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Stade d'Abidjan sit 7th in Ligue 1 (5 points from 3 matches) and San-Pédro sit 5th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | San-Pédro | 3 | 2 | 0 | 1 | 5 | 1 | 6 |
| 7 | Stade d'Abidjan | 3 | 1 | 2 | 0 | 7 | 6 | 5 |
A question about Stade d'Abidjan vs San-Pédro?
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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