San-Pédro vs Africa Sports: result 0-0 and analysis
Ligue 1Regular Season - 14Kick-off on March 12, 2017 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of San-Pédro vs Africa Sports?
San-Pédro and Africa Sports drew 0-0 on March 12, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, San-Pédro have 3 wins, 5 draws and 5 defeats; Africa Sports have 6, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2017 | Stade d'Abidjan(away) | 0-3 | Ligue 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | SOA(away) | 2-0 | Ligue 1 |
| Mar 1, 2017 | Abengourou(home) | 1-0 | Ligue 1 |
| Feb 25, 2017 | WAC(home) | 0-0 | Ligue 1 |
| Feb 20, 2017 | Moossou(home) | 0-1 | Ligue 1 |
| Jan 10, 2017 | ASEC Mimosas(home) | 0-1 | Ligue 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 San-Pédro win(s), 0 draw(s), 1 Africa Sports win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2016 | Africa Sports 1-0 San-Pédro | Ligue 1 |
Last archived meeting: Africa Sports vs San-Pédro on Nov 21, 2016
How many goals should we expect?
San-Pédro score 1.2 and concede 1.2 goals per match over their last 13; Africa Sports score 0.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 1.2 | 1.2 | 4 | 5/13 | 6/13 |
| Africa Sports | 0.8 | 0.6 | 6 | 3/13 | 2/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | San-Pédro | 30 | 14 | 10 | 6 | 43 | 32 | 52 |
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