Tanda vs AFAD: result 1-0 and analysis
Ligue 1Regular Season - 26Kick-off on May 4, 2019 at 03:30 PM (UTC)Stade Henri Konan Bédié, Abengourou
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What was the result of Tanda vs AFAD?
Tanda won 1-0 on May 4, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tanda have 5 wins, 2 draws and 8 defeats; AFAD have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2019 | Lys Sassandra(away) | 2-1 | Ligue 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2019 | WAC(away) | 1-2 | Ligue 1 |
| Apr 22, 2019 | SOA(home) | 1-2 | Ligue 1 |
| Apr 13, 2019 | Abengourou(away) | 1-1 | Ligue 1 |
| Apr 6, 2019 | Racing d'Abidjan(home) | 2-1 | Ligue 1 |
| Mar 30, 2019 | Africa Sports(away) | 2-1 | Ligue 1 |
What does the head-to-head say?
Across the last 5 meetings: 0 Tanda wins, 4 draws, 1 AFAD win.
| Date | Score | Competition |
|---|---|---|
| Dec 8, 2018 | AFAD 2-1 Tanda | Ligue 1 |
| May 5, 2018 | Tanda 0-0 AFAD | Ligue 1 |
| Dec 16, 2017 | AFAD 0-0 Tanda | Ligue 1 |
| May 6, 2017 | AFAD 0-0 Tanda | Ligue 1 |
| Dec 29, 2016 | Tanda 0-0 AFAD | Ligue 1 |
How many goals should we expect?
Tanda score 1.0 and concede 1.2 goals per match over their last 15; AFAD score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tanda | 1.0 | 1.2 | 3 | 8/15 | 7/15 |
| AFAD | 1.1 | 1.1 | 4 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | AFAD | 3 | 0 | 2 | 1 | 3 | 4 | 2 |
A question about Tanda vs AFAD?
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