JCAT vs SOA: result 0-2 and analysis
Ligue 1Regular Season - 24Kick-off on June 5, 2017 at 03:30 PM (UTC)Parc des Sports de Treichville, Abidjan
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What was the result of JCAT vs SOA?
SOA won 0-2 on June 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JCAT have 0 wins, 3 draws and 12 defeats; SOA have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2017 | Moossou(away) | 0-2 | Ligue 1 |
| May 29, 2017 | San-Pédro(home) | 1-2 | Ligue 1 |
| May 22, 2017 | Séwé Sport(home) | 0-3 | Ligue 1 |
| May 7, 2017 | Africa Sports(away) | 1-2 | Ligue 1 |
| Apr 29, 2017 | Denguélé(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | ASEC Mimosas(home) | 0-0 | Ligue 1 |
| May 20, 2017 | WAC(home) | 0-2 | Ligue 1 |
| May 13, 2017 | Stade d'Abidjan(home) | 1-0 | Ligue 1 |
| May 6, 2017 | Abengourou(away) | 0-0 | Ligue 1 |
| May 1, 2017 | AFAD(away) | 0-2 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 JCAT wins, 0 draws, 1 SOA win.
| Date | Score | Competition |
|---|---|---|
| Feb 25, 2017 | SOA 3-0 JCAT | Ligue 1 |
How many goals should we expect?
JCAT score 0.5 and concede 1.8 goals per match over their last 15; SOA score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JCAT | 0.5 | 1.8 | 0 | 8/15 | 7/15 |
| SOA | 0.8 | 0.8 | 8 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | SOA | 3 | 2 | 1 | 0 | 4 | 2 | 7 |
A question about JCAT vs SOA?
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