Lys Sassandra vs Tanda: result 1-2 and analysis
Ligue 1Regular Season - 25Kick-off on April 28, 2019 at 03:30 PM (UTC)Stade Robert Champroux, Abidjan
Full time
What was the result of Lys Sassandra vs Tanda?
Tanda won 1-2 on April 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lys Sassandra have 3 wins, 3 draws and 9 defeats; Tanda have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | WAC(away) | 1-3 | Ligue 1 |
| Apr 13, 2019 | Racing d'Abidjan(away) | 1-0 | Ligue 1 |
| Apr 10, 2019 | ASEC Mimosas(away) | 0-2 | Ligue 1 |
| Apr 7, 2019 | Abengourou(home) | 1-2 | Ligue 1 |
| Mar 30, 2019 | Bassam(home) | 0-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | Bouaké(home) | 2-0 | Ligue 1 |
| Apr 13, 2019 | Sporting Gagnoa(away) | 3-2 | Ligue 1 |
| Apr 6, 2019 | Bassam(home) | 0-1 | Ligue 1 |
| Mar 29, 2019 | Moossou(away) | 1-2 | Ligue 1 |
| Mar 9, 2019 | San-Pédro(home) | 1-2 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 Lys Sassandra wins, 0 draws, 1 Tanda win.
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2018 | Tanda 1-0 Lys Sassandra | Ligue 1 |
Last archived meeting: Tanda vs Lys Sassandra on Dec 1, 2018
How many goals should we expect?
Lys Sassandra score 0.9 and concede 1.5 goals per match over their last 15; Tanda score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lys Sassandra | 0.9 | 1.5 | 2 | 8/15 | 5/15 |
| Tanda | 0.9 | 1.2 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Lys Sassandra vs Tanda?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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