JCAT vs Stade d'Abidjan: result 1-1 and analysis
Ligue 1Regular Season - 15Kick-off on March 25, 2017 at 03:30 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of JCAT vs Stade d'Abidjan?
JCAT and Stade d'Abidjan drew 1-1 on March 25, 2017.
What is the recent form of both teams?
Over their last 14 matches in all competitions, JCAT have 2 wins, 2 draws and 10 defeats; Stade d'Abidjan have 4, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2017 | AFAD(home) | 1-1 | Ligue 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2017 | Abengourou(home) | 3-1 | Ligue 1 |
| Mar 6, 2017 | San-Pédro(home) | 3-0 | Ligue 1 |
| Mar 2, 2017 | Sporting Gagnoa(away) | 1-2 | Ligue 1 |
| Feb 26, 2017 | ASEC Mimosas(away) | 0-0 | Ligue 1 |
| Feb 21, 2017 | WAC(away) | 1-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 1 JCAT win, 0 draws, 0 Stade d'Abidjan wins.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2016 | Stade d'Abidjan 0-2 JCAT | Ligue 1 |
Last archived meeting: Stade d'Abidjan vs JCAT on Nov 27, 2016
How many goals should we expect?
JCAT score 0.6 and concede 1.6 goals per match over their last 14; Stade d'Abidjan score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JCAT | 0.6 | 1.6 | 1 | 6/14 | 6/14 |
| Stade d'Abidjan | 1.1 | 1.1 | 5 | 6/14 | 5/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Stade d'Abidjan | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
A question about JCAT vs Stade d'Abidjan?
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