San-Pédro vs AFAD: result 1-1 and analysis
Ligue 1Regular Season - 18Kick-off on April 15, 2017 at 04:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of San-Pédro vs AFAD?
San-Pédro and AFAD drew 1-1 on April 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San-Pédro have 5 wins, 5 draws and 5 defeats; AFAD have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2017 | Denguélé(away) | 1-0 | Ligue 1 |
| Mar 30, 2017 | WAC(home) | 2-3 | Ligue 1 |
| Mar 25, 2017 | Séwé Sport(home) | 3-0 | Ligue 1 |
| Mar 12, 2017 | Africa Sports(home) | 0-0 | Ligue 1 |
| Mar 6, 2017 | Stade d'Abidjan(away) | 0-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2017 | Africa Sports(away) | 0-1 | Ligue 1 |
| Mar 31, 2017 | Stade d'Abidjan(away) | 0-1 | Ligue 1 |
| Mar 26, 2017 | WAC(home) | 0-2 | Ligue 1 |
| Mar 13, 2017 | JCAT(away) | 1-1 | Ligue 1 |
| Mar 6, 2017 | Denguélé(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 San-Pédro win(s), 1 draw(s), 0 AFAD win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2016 | AFAD 2-2 San-Pédro | Ligue 1 |
How many goals should we expect?
San-Pédro score 1.3 and concede 1.1 goals per match over their last 15; AFAD score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 1.3 | 1.1 | 7 | 5/15 | 8/15 |
| AFAD | 0.9 | 1.0 | 5 | 6/15 | 5/15 |
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 AFAD sit 3rd (50 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | San-Pédro | 30 | 14 | 10 | 6 | 43 | 32 | 52 |
| 3 | AFAD | 30 | 14 | 8 | 8 | 40 | 24 | 50 |
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