JCAT vs AFAD: result 1-1 and analysis
Ligue 1Regular Season - 14Kick-off on March 13, 2017 at 03:30 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of JCAT vs AFAD?
JCAT and AFAD drew 1-1 on March 13, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, JCAT have 2 wins, 1 draw and 10 defeats; AFAD have 4, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2017 | Sporting Gagnoa(away) | 0-1 | Ligue 1 |
| Mar 1, 2017 | Tanda(home) | 0-2 | Ligue 1 |
| Feb 25, 2017 | SOA(away) | 0-3 | Ligue 1 |
| Feb 18, 2017 | San-Pédro(away) | 1-2 | Ligue 1 |
| Jan 11, 2017 | Séwé Sport(away) | 1-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2017 | Denguélé(away) | 1-1 | Ligue 1 |
| Mar 3, 2017 | Moossou(away) | 3-0 | Ligue 1 |
| Feb 27, 2017 | Séwé Sport(away) | 1-1 | Ligue 1 |
| Feb 22, 2017 | Sporting Gagnoa(home) | 0-3 | Ligue 1 |
| Jan 11, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 JCAT wins, 0 draws, 1 AFAD win.
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2016 | AFAD 1-0 JCAT | Ligue 1 |
How many goals should we expect?
JCAT score 0.6 and concede 1.7 goals per match over their last 13; AFAD score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JCAT | 0.6 | 1.7 | 1 | 5/13 | 6/13 |
| AFAD | 1.1 | 0.8 | 6 | 6/13 | 5/13 |
Over the last 13 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 JCAT 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