JCAT vs ASEC Mimosas: result 0-2 and analysis
Ligue 1Regular Season - 16Kick-off on March 30, 2017 at 07:00 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of JCAT vs ASEC Mimosas?
ASEC Mimosas won 0-2 on March 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JCAT have 2 wins, 3 draws and 10 defeats; ASEC Mimosas have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Stade d'Abidjan(home) | 1-1 | Ligue 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 27, 2017 | Moossou(away) | 1-0 | Ligue 1 |
| Mar 23, 2017 | Denguélé(away) | 0-0 | Ligue 1 |
| Mar 19, 2017 | APEJES Academy(away) | 0-1 | CAF Confederation Cup |
| Mar 12, 2017 | APEJES Academy(home) | 2-0 | CAF Confederation Cup |
| Mar 5, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 JCAT wins, 0 draws, 1 ASEC Mimosas win.
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2016 | ASEC Mimosas 4-0 JCAT | Ligue 1 |
How many goals should we expect?
JCAT score 0.7 and concede 1.6 goals per match over their last 15; ASEC Mimosas score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JCAT | 0.7 | 1.6 | 1 | 7/15 | 6/15 |
| ASEC Mimosas | 0.9 | 0.5 | 9 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | ASEC Mimosas | 3 | 0 | 2 | 1 | 1 | 2 | 2 |
A question about JCAT vs ASEC Mimosas?
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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