ASOS vs JSP: result 1-4 and analysis
Championnat NationalRegular Season - 31Kick-off on May 15, 2019 at 01:00 PM (UTC)Centre d’excellence de football de Missérété, Akpro-Missérété
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What was the result of ASOS vs JSP?
JSP won 1-4 on May 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASOS have 4 wins, 6 draws and 5 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 11, 2019 | Energie(away) | 1-0 | Championnat National |
| May 8, 2019 | Esae(home) | 0-1 | Championnat National |
| May 5, 2019 | Dragons(away) | 1-2 | Championnat National |
| May 1, 2019 | Dynamo Abomey(home) | 0-0 | Championnat National |
| Apr 27, 2019 | Béké Bembèrèkè(away) | 0-3 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 24, 2019 | UPI-ONM(away) | 1-1 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 ASOS wins, 0 draws, 1 JSP win.
| Date | Score | Competition |
|---|---|---|
| Jan 19, 2019 | JSP 1-0 ASOS | Championnat National |
How many goals should we expect?
ASOS score 0.7 and concede 0.9 goals per match over their last 15; JSP score 0.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASOS | 0.7 | 0.9 | 5 | 6/15 | 4/15 |
| JSP | 0.6 | 0.8 | 8 | 2/15 | 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 ASOS 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