JAC vs JSP: result 2-1 and analysis
Championnat NationalRegular Season - 1Kick-off on October 12, 2019 at 03:00 PM (UTC)Stade Jean-Pierre Gascon, Pobè
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What was the result of JAC vs JSP?
JAC won 2-1 on October 12, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JAC have 4 wins, 7 draws and 4 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 |
|---|---|---|---|
| Jun 12, 2019 | ASPAC(away) | 2-0 | Championnat National |
| Jun 9, 2019 | Buffles(home) | 0-1 | Championnat National |
| Jun 2, 2019 | Béké Bembèrèkè(away) | 0-1 | Championnat National |
| May 29, 2019 | Esae(home) | 1-0 | Championnat National |
| May 25, 2019 | ASVO(home) | 1-1 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2019 | ASVO(away) | 1-2 | Championnat National |
| Jun 9, 2019 | Béké Bembèrèkè(home) | 0-1 | Championnat National |
| Jun 2, 2019 | Buffles(away) | 0-2 | Championnat National |
| May 29, 2019 | Energie(home) | 0-0 | Championnat National |
| May 26, 2019 | ASPAC(home) | 1-0 | Championnat National |
What does the head-to-head say?
Across the last 2 meetings: 1 JAC win, 0 draws, 1 JSP win.
| Date | Score | Competition |
|---|---|---|
| Apr 11, 2019 | JAC 3-0 JSP | Championnat National |
| Nov 10, 2018 | JSP 1-0 JAC | Championnat National |
How many goals should we expect?
JAC score 0.7 and concede 0.8 goals per match over their last 15; JSP score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JAC | 0.7 | 0.8 | 8 | 4/15 | 3/15 |
| JSP | 0.7 | 0.8 | 7 | 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 |
|---|---|---|---|---|---|---|---|---|
| 17 | JSP | 33 | 6 | 14 | 13 | 30 | 36 | 32 |
A question about JAC vs JSP?
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