Moossou vs Tanda: result 2-1 and analysis
Ligue 1Regular Season - 21Kick-off on March 29, 2019 at 03:30 PM (UTC)
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What was the result of Moossou vs Tanda?
Moossou won 2-1 on March 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Moossou have 3 wins, 2 draws and 10 defeats; Tanda have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Bassam(away) | 2-1 | Ligue 1 |
| Mar 3, 2019 | Africa Sports(home) | 2-0 | Ligue 1 |
| Feb 23, 2019 | San-Pédro(away) | 0-3 | Ligue 1 |
| Feb 16, 2019 | AFAD(home) | 0-1 | Ligue 1 |
| Feb 9, 2019 | Racing d'Abidjan(away) | 1-4 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | San-Pédro(home) | 1-2 | Ligue 1 |
| Mar 3, 2019 | WAC(away) | 0-1 | Ligue 1 |
| Feb 23, 2019 | Abengourou(away) | 1-1 | Ligue 1 |
| Feb 16, 2019 | Africa Sports(home) | 0-1 | Ligue 1 |
| Feb 9, 2019 | SOA(home) | 0-1 | Ligue 1 |
What does the head-to-head say?
Across the last 5 meetings: 2 Moossou wins, 1 draw, 2 Tanda wins.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2018 | Tanda 1-0 Moossou | Ligue 1 |
| Feb 25, 2018 | Moossou 0-1 Tanda | Ligue 1 |
| Oct 21, 2017 | Tanda 0-1 Moossou | Ligue 1 |
| Jul 1, 2017 | Moossou 1-0 Tanda | Ligue 1 |
| Mar 6, 2017 | Tanda 3-3 Moossou | Ligue 1 |
How many goals should we expect?
Moossou score 0.8 and concede 1.7 goals per match over their last 15; Tanda score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moossou | 0.8 | 1.7 | 4 | 4/15 | 7/15 |
| Tanda | 0.9 | 1.1 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Moossou 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