San-Pédro vs AFAD: result 1-1 and analysis
Ligue 1Regular Season - 21Kick-off on April 14, 2018 at 03:30 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 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San-Pédro have 6 wins, 5 draws and 4 defeats; AFAD have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2018 | WAC(home) | 3-2 | Ligue 1 |
| Mar 30, 2018 | Bouaké(away) | 1-0 | Ligue 1 |
| Mar 25, 2018 | Séwé Sport(home) | 0-0 | Ligue 1 |
| Mar 4, 2018 | SOA(away) | 2-3 | Ligue 1 |
| Feb 28, 2018 | Africa Sports(away) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Sporting Gagnoa(away) | 0-0 | Ligue 1 |
| Apr 1, 2018 | WAC(home) | 1-0 | Ligue 1 |
| Mar 29, 2018 | ASEC Mimosas(away) | 1-2 | Ligue 1 |
| Mar 24, 2018 | Africa Sports(home) | 2-2 | Ligue 1 |
| Mar 10, 2018 | Abengourou(home) | 0-1 | Ligue 1 |
What does the head-to-head say?
Across the last 3 meetings: 0 San-Pédro win(s), 2 draw(s), 1 AFAD win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2017 | AFAD 1-0 San-Pédro | Ligue 1 |
| Apr 15, 2017 | San-Pédro 1-1 AFAD | Ligue 1 |
| Dec 17, 2016 | AFAD 2-2 San-Pédro | Ligue 1 |
How many goals should we expect?
San-Pédro score 0.9 and concede 0.7 goals per match over their last 15; AFAD score 0.9 and concede 1.1.
| 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 |
| AFAD | 0.9 | 1.1 | 6 | 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