JSP vs Soleil: result 0-1 and analysis
Championnat NationalRegular Season - 24Kick-off on April 21, 2019 at 03:00 PM (UTC)Stade Jean-Pierre Gascon, Pobè
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What was the result of JSP vs Soleil?
Soleil won 0-1 on April 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JSP have 7 wins, 3 draws and 5 defeats; Soleil have 1, 0 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2019 | Dynamo Abomey(home) | 2-0 | Championnat National |
| Apr 14, 2019 | Panthères(away) | 0-2 | Championnat National |
| Apr 11, 2019 | JAC(away) | 0-3 | Championnat National |
| Apr 7, 2019 | Dragons(home) | 1-2 | Championnat National |
| Mar 9, 2019 | ASVO(home) | 1-0 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2019 | JAC(home) | 0-1 | Championnat National |
| Apr 10, 2019 | Panthères(home) | 3-4 | Championnat National |
| Apr 7, 2019 | AS Sobemap(away) | 0-1 | Championnat National |
| Mar 10, 2019 | Buffles(home) | 1-0 | Championnat National |
| Mar 2, 2019 | Energie(away) | 0-1 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 JSP wins, 0 draws, 1 Soleil win.
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2018 | JSP 1-2 Soleil | Championnat National |
How many goals should we expect?
JSP score 0.9 and concede 0.7 goals per match over their last 15; Soleil score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSP | 0.9 | 0.7 | 9 | 2/15 | 4/15 |
| Soleil | 0.7 | 2.1 | 1 | 6/15 | 8/15 |
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 JSP vs Soleil?
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