San-Pédro vs Bassam: result 1-1 and analysis
Ligue 1Regular Season - 3Kick-off on September 22, 2018 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of San-Pédro vs Bassam?
San-Pédro and Bassam drew 1-1 on September 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, San-Pédro have 7 wins, 5 draws and 3 defeats; Bassam have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | AFAD(home) | 1-1 | Ligue 1 |
| Sep 8, 2018 | Racing d'Abidjan(away) | 2-2 | Ligue 1 |
| Jun 3, 2018 | Moossou(away) | 3-1 | Ligue 1 |
| May 27, 2018 | Bassam(away) | 2-1 | Ligue 1 |
| May 5, 2018 | Sporting Gagnoa(away) | 2-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | SOA(home) | 1-4 | Ligue 1 |
| Sep 7, 2018 | Africa Sports(home) | 2-0 | Ligue 1 |
| Jun 3, 2018 | AFAD(home) | 3-0 | Ligue 1 |
| May 27, 2018 | San-Pédro(home) | 1-2 | Ligue 1 |
| May 7, 2018 | Stade d'Abidjan(away) | 0-1 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 San-Pédro win, 1 draw, 0 Bassam wins.
| Date | Score | Competition |
|---|---|---|
| May 27, 2018 | Bassam 1-2 San-Pédro | Ligue 1 |
| Dec 22, 2017 | San-Pédro 0-0 Bassam | Ligue 1 |
How many goals should we expect?
San-Pédro score 1.5 and concede 1.2 goals per match over their last 15; Bassam score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San-Pédro | 1.5 | 1.2 | 3 | 11/15 | 9/15 |
| Bassam | 1.1 | 1.5 | 6 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | San-Pédro | 3 | 2 | 0 | 1 | 5 | 1 | 6 |
A question about San-Pédro vs Bassam?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy