Lys Sassandra vs SOA: result 1-1 and analysis
Ligue 1Regular Season - 18Kick-off on February 24, 2019 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Lys Sassandra vs SOA?
Lys Sassandra and SOA drew 1-1 on February 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lys Sassandra have 5 wins, 3 draws and 7 defeats; SOA have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2019 | San-Pédro(away) | 0-1 | Ligue 1 |
| Feb 10, 2019 | Bouaké(home) | 3-4 | Ligue 1 |
| Feb 3, 2019 | Africa Sports(away) | 2-1 | Ligue 1 |
| Jan 26, 2019 | AFAD(away) | 1-1 | Ligue 1 |
| Dec 8, 2018 | Moossou(home) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2019 | Abengourou(away) | 0-0 | Ligue 1 |
| Feb 9, 2019 | Tanda(away) | 1-0 | Ligue 1 |
| Feb 2, 2019 | Bassam(home) | 1-0 | Ligue 1 |
| Jan 26, 2019 | Sporting Gagnoa(home) | 2-1 | Ligue 1 |
| Dec 28, 2018 | San-Pédro(away) | 0-2 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 1 Lys Sassandra win, 0 draws, 0 SOA wins.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | SOA 0-1 Lys Sassandra | Ligue 1 |
How many goals should we expect?
Lys Sassandra score 1.2 and concede 1.2 goals per match over their last 15; SOA score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lys Sassandra | 1.2 | 1.2 | 3 | 8/15 | 6/15 |
| SOA | 1.3 | 0.8 | 6 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | SOA | 2 | 1 | 1 | 0 | 3 | 2 | 4 |
A question about Lys Sassandra vs SOA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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