Esae vs JSP: result 0-0 and analysis
Championnat NationalRegular Season - 33Kick-off on May 22, 2019 at 03:00 PM (UTC)Stade de Sakété, Sakété
Full time
What was the result of Esae vs JSP?
Esae and JSP drew 0-0 on May 22, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Esae have 7 wins, 5 draws and 3 defeats; JSP have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | Béké Bembèrèkè(away) | 1-1 | Championnat National |
| May 15, 2019 | Buffles(away) | 1-1 | Championnat National |
| May 8, 2019 | ASOS(away) | 1-0 | Championnat National |
| May 4, 2019 | ASPAC(home) | 1-1 | Championnat National |
| May 1, 2019 | ASVO(away) | 0-0 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2019 | ASOS(away) | 4-1 | Championnat National |
| May 12, 2019 | AS Sobemap(away) | 0-0 | Championnat National |
| May 5, 2019 | Avrankou Omnisport(home) | 0-0 | Championnat National |
| May 1, 2019 | Ayema(away) | 0-2 | Championnat National |
| Apr 27, 2019 | Tonnerre(home) | 1-0 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 Esae wins, 0 draws, 1 JSP win.
| Date | Score | Competition |
|---|---|---|
| Feb 2, 2019 | JSP 2-1 Esae | Championnat National |
How many goals should we expect?
Esae score 1.0 and concede 0.7 goals per match over their last 15; JSP score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Esae | 1.0 | 0.7 | 7 | 7/15 | 4/15 |
| JSP | 0.7 | 0.9 | 7 | 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 |
|---|---|---|---|---|---|---|---|---|
| 17 | JSP | 33 | 6 | 14 | 13 | 30 | 36 | 32 |
A question about Esae vs JSP?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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