AFAD vs Tanda: result 2-1 and analysis
Ligue 1Regular Season - 13Kick-off on December 8, 2018 at 06:00 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of AFAD vs Tanda?
AFAD won 2-1 on December 8, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFAD have 4 wins, 7 draws and 4 defeats; Tanda have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | WAC(home) | 0-0 | Ligue 1 |
| Nov 25, 2018 | SOA(away) | 1-1 | Ligue 1 |
| Nov 12, 2018 | Abengourou(home) | 1-0 | Ligue 1 |
| Nov 5, 2018 | Racing d'Abidjan(away) | 0-1 | Ligue 1 |
| Oct 28, 2018 | Africa Sports(home) | 0-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Lys Sassandra(home) | 1-0 | Ligue 1 |
| Nov 24, 2018 | Bouaké(away) | 2-1 | Ligue 1 |
| Nov 10, 2018 | Sporting Gagnoa(home) | 1-1 | Ligue 1 |
| Nov 3, 2018 | Bassam(away) | 2-0 | Ligue 1 |
| Oct 27, 2018 | Moossou(home) | 1-0 | Ligue 1 |
What does the head-to-head say?
Across the last 4 meetings: 0 AFAD wins, 4 draws, 0 Tanda wins.
| Date | Score | Competition |
|---|---|---|
| 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?
AFAD score 0.7 and concede 0.7 goals per match over their last 15; Tanda score 1.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFAD | 0.7 | 0.7 | 7 | 4/15 | 4/15 |
| Tanda | 1.0 | 0.6 | 8 | 5/15 | 2/15 |
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 AFAD vs Tanda?
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