San-Pédro vs SOA: result 2-0 and analysis
Ligue 1Regular Season - 12Kick-off on March 1, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of San-Pédro vs SOA?
San-Pédro won 2-0 on March 1, 2017.
What is the recent form of both teams?
Over their last 11 matches in all competitions, San-Pédro have 2 wins, 5 draws and 4 defeats; SOA have 4, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 28, 2016 | ASEC Mimosas(home) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | JCAT(home) | 3-0 | Ligue 1 |
| Feb 20, 2017 | ASEC Mimosas(away) | 1-0 | Ligue 1 |
| Jan 12, 2017 | WAC(away) | 2-2 | Ligue 1 |
| Jan 5, 2017 | Stade d'Abidjan(away) | 1-2 | Ligue 1 |
| Dec 28, 2016 | Abengourou(home) | 0-0 | Ligue 1 |
How many goals should we expect?
San-Pédro score 1.2 and concede 1.1 goals per match over their last 11; SOA score 1.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 1.2 | 1.1 | 3 | 5/11 | 5/11 |
| SOA | 1.0 | 0.6 | 7 | 2/11 | 4/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
San-Pédro sit 1st in Ligue 1 (6 points from 3 matches) and SOA sit 3rd (4 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | San-Pédro | 3 | 2 | 0 | 1 | 5 | 1 | 6 |
| 3 | SOA | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
A question about San-Pédro vs SOA?
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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