San-Pédro vs Bouaké: result 0-0 and analysis
Ligue 1Regular Season - 8Kick-off on October 27, 2018 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of San-Pédro vs Bouaké?
San-Pédro and Bouaké drew 0-0 on October 27, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San-Pédro have 7 wins, 7 draws and 1 defeats; Bouaké have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2018 | Tanda(home) | 2-2 | Ligue 1 |
| Oct 17, 2018 | Abengourou(away) | 1-0 | Ligue 1 |
| Oct 5, 2018 | Moossou(away) | 2-1 | Ligue 1 |
| Sep 30, 2018 | Lys Sassandra(away) | 1-1 | Ligue 1 |
| Sep 22, 2018 | Bassam(home) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | AFAD(home) | 1-0 | Ligue 1 |
| Oct 17, 2018 | SOA(home) | 1-2 | Ligue 1 |
| Oct 6, 2018 | WAC(away) | 2-1 | Ligue 1 |
| Sep 30, 2018 | Racing d'Abidjan(away) | 2-3 | Ligue 1 |
| Sep 22, 2018 | Lys Sassandra(home) | 2-1 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 San-Pédro win(s), 0 draw(s), 0 Bouaké win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2018 | Bouaké 0-1 San-Pédro | Ligue 1 |
| Nov 19, 2017 | San-Pédro 1-0 Bouaké | Ligue 1 |
How many goals should we expect?
San-Pédro score 1.7 and concede 1.2 goals per match over their last 15; Bouaké score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 1.7 | 1.2 | 2 | 13/15 | 9/15 |
| Bouaké | 1.1 | 1.3 | 3 | 10/15 | 8/15 |
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 Bouaké sit 10th (38 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | San-Pédro | 30 | 14 | 10 | 6 | 43 | 32 | 52 |
| 10 | Bouaké | 30 | 9 | 11 | 10 | 24 | 25 | 38 |
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