Tonnerre vs JAC: result 0-1 and analysis
Championnat NationalRegular Season - 25Kick-off on April 24, 2019 at 03:00 PM (UTC)Stade Omnisports Paulin Tomanaga, Bohicon
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What was the result of Tonnerre vs JAC?
JAC won 0-1 on April 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tonnerre have 6 wins, 4 draws and 5 defeats; JAC have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | AS Sobemap(away) | 0-0 | Championnat National |
| Apr 17, 2019 | Energie(home) | 2-0 | Championnat National |
| Apr 10, 2019 | Dragon de Yaoundé(away) | 0-1 | Elite One |
| Apr 10, 2019 | UPI-ONM(away) | 1-0 | Championnat National |
| Apr 7, 2019 | Avion Academy(away) | 1-0 | Elite One |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Panthères(home) | 1-1 | Championnat National |
| Apr 18, 2019 | Dragons(home) | 0-3 | Championnat National |
| Apr 14, 2019 | Soleil(away) | 1-0 | Championnat National |
| Apr 11, 2019 | JSP(home) | 3-0 | Championnat National |
| Apr 8, 2019 | Dynamo Abomey(away) | 0-0 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 Tonnerre wins, 1 draw, 0 JAC wins.
| Date | Score | Competition |
|---|---|---|
| Dec 9, 2018 | JAC 0-0 Tonnerre | Championnat National |
How many goals should we expect?
Tonnerre score 0.9 and concede 0.7 goals per match over their last 15; JAC score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tonnerre | 0.9 | 0.7 | 7 | 6/15 | 4/15 |
| JAC | 0.9 | 0.8 | 7 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Tonnerre | 34 | 6 | 11 | 17 | 24 | 39 | 29 |
A question about Tonnerre vs JAC?
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