JAC vs Buffles: result 0-1 and analysis
Championnat NationalRegular Season - 37Kick-off on June 9, 2019 at 03:00 PM (UTC)Stade Jean-Pierre Gascon, Pobè
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What was the result of JAC vs Buffles?
Buffles won 0-1 on June 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JAC have 4 wins, 8 draws and 3 defeats; Buffles have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 22, 2019 | Energie(away) | 0-0 | Championnat National |
| May 18, 2019 | ASOS(home) | 0-0 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2019 | JSP(home) | 2-0 | Championnat National |
| May 29, 2019 | Dragons(away) | 0-0 | Championnat National |
| May 26, 2019 | Panthères(away) | 1-0 | Championnat National |
| May 22, 2019 | Dynamo Abomey(home) | 1-0 | Championnat National |
| May 18, 2019 | Energie(home) | 1-0 | Championnat National |
What does the head-to-head say?
In the last meeting: 1 JAC win, 0 draws, 0 Buffles wins.
| Date | Score | Competition |
|---|---|---|
| Mar 2, 2019 | Buffles 0-1 JAC | Championnat National |
How many goals should we expect?
JAC score 0.7 and concede 0.7 goals per match over their last 15; Buffles score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JAC | 0.7 | 0.7 | 9 | 4/15 | 4/15 |
| Buffles | 0.9 | 0.5 | 9 | 2/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Buffles | 33 | 13 | 11 | 9 | 32 | 22 | 50 |
A question about JAC vs Buffles?
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