JSP vs Tonnerre: result 1-0 and analysis
Championnat NationalRegular Season - 26Kick-off on April 27, 2019 at 03:00 PM (UTC)Stade Jean-Pierre Gascon, Pobè
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What was the result of JSP vs Tonnerre?
JSP won 1-0 on April 27, 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; Tonnerre have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2019 | UPI-ONM(away) | 1-1 | Championnat National |
| Apr 21, 2019 | Soleil(home) | 0-1 | Championnat National |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2019 | JAC(home) | 0-1 | Championnat National |
| Apr 21, 2019 | AS Sobemap(away) | 0-0 | Championnat National |
| Apr 17, 2019 | Energie(home) | 2-0 | Championnat National |
| Apr 10, 2019 | UPI-ONM(away) | 1-0 | Championnat National |
| Apr 10, 2019 | Dragon de Yaoundé(away) | 0-1 | Elite One |
What does the head-to-head say?
In the last meeting: 0 JSP wins, 0 draws, 1 Tonnerre win.
| Date | Score | Competition |
|---|---|---|
| Dec 16, 2018 | Tonnerre 1-0 JSP | Championnat National |
How many goals should we expect?
JSP score 0.9 and concede 0.7 goals per match over their last 15; Tonnerre score 0.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JSP | 0.9 | 0.7 | 8 | 3/15 | 4/15 |
| Tonnerre | 0.8 | 0.7 | 7 | 5/15 | 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 JSP vs Tonnerre?
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