San-Pédro vs SOA: result 1-0 and analysis
Ligue 1Regular Season - 3Kick-off on October 28, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of San-Pédro vs SOA?
San-Pédro won 1-0 on October 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San-Pédro have 5 wins, 6 draws and 4 defeats; SOA have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Stade d'Abidjan(away) | 2-1 | Ligue 1 |
| Oct 14, 2017 | Africa Sports(home) | 0-1 | Ligue 1 |
| Jul 2, 2017 | Stade d'Abidjan(home) | 0-0 | Ligue 1 |
| Jun 17, 2017 | SOA(away) | 0-0 | Ligue 1 |
| Jun 3, 2017 | Sporting Gagnoa(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Abengourou(home) | 0-2 | Ligue 1 |
| Oct 14, 2017 | Tanda(home) | 1-1 | Ligue 1 |
| Jul 1, 2017 | Africa Sports(away) | 2-2 | Ligue 1 |
| Jun 17, 2017 | San-Pédro(home) | 0-0 | Ligue 1 |
| Jun 5, 2017 | JCAT(away) | 2-0 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 San-Pédro win(s), 1 draw(s), 0 SOA win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 17, 2017 | SOA 0-0 San-Pédro | Ligue 1 |
| Mar 1, 2017 | San-Pédro 2-0 SOA | Ligue 1 |
How many goals should we expect?
San-Pédro score 0.9 and concede 0.7 goals per match over their last 15; SOA score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 0.9 | 0.7 | 7 | 5/15 | 4/15 |
| SOA | 0.7 | 0.7 | 8 | 4/15 | 1/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
San-Pédro sit 2nd in Ligue 1 (52 points from 30 matches) and SOA sit 11th (37 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | San-Pédro | 30 | 14 | 10 | 6 | 43 | 32 | 52 |
| 11 | SOA | 30 | 9 | 10 | 11 | 23 | 23 | 37 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy