SOA vs San-Pédro: result 0-0 and analysis
Ligue 1Regular Season - 25Kick-off on June 17, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of SOA vs San-Pédro?
SOA and San-Pédro drew 0-0 on June 17, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SOA have 7 wins, 4 draws and 4 defeats; San-Pédro have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2017 | JCAT(away) | 2-0 | Ligue 1 |
| May 28, 2017 | ASEC Mimosas(home) | 0-0 | Ligue 1 |
| May 20, 2017 | WAC(home) | 0-2 | Ligue 1 |
| May 13, 2017 | Stade d'Abidjan(home) | 1-0 | Ligue 1 |
| May 6, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2017 | Sporting Gagnoa(away) | 1-1 | Ligue 1 |
| May 29, 2017 | JCAT(away) | 2-1 | Ligue 1 |
| May 19, 2017 | Tanda(away) | 0-1 | Ligue 1 |
| May 13, 2017 | Abengourou(home) | 0-0 | Ligue 1 |
| May 6, 2017 | ASEC Mimosas(away) | 1-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 SOA wins, 0 draws, 1 San-Pédro win.
| Date | Score | Competition |
|---|---|---|
| Mar 1, 2017 | San-Pédro 2-0 SOA | Ligue 1 |
How many goals should we expect?
SOA score 0.8 and concede 0.7 goals per match over their last 15; San-Pédro score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SOA | 0.8 | 0.7 | 9 | 2/15 | 1/15 |
| San-Pédro | 1.3 | 0.8 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
SOA sit 3rd in Ligue 1 (4 points from 2 matches) and San-Pédro sit 1st (6 points from 3 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 SOA 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