Buffles vs Esae: result 1-1 and analysis
Championnat NationalRegular Season - 31Kick-off on May 15, 2019 at 03:00 PM (UTC)Stade Municipal de Parakou, Parakou
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What was the result of Buffles vs Esae?
Buffles and Esae drew 1-1 on May 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Buffles have 6 wins, 2 draws and 7 defeats; Esae have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Tonnerre(away) | 0-1 | Championnat National |
| May 8, 2019 | UPI-ONM(home) | 0-2 | Championnat National |
| May 5, 2019 | AS Sobemap(away) | 1-2 | Championnat National |
| Apr 24, 2019 | ASOS(away) | 0-1 | Championnat National |
| Apr 21, 2019 | Ayema(home) | 3-0 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2019 | ASOS(away) | 1-0 | Championnat National |
| May 4, 2019 | ASPAC(home) | 1-1 | Championnat National |
| May 1, 2019 | ASVO(away) | 0-0 | Championnat National |
| Apr 27, 2019 | AS Sobemap(home) | 1-0 | Championnat National |
| Apr 21, 2019 | Dynamo Abomey(away) | 1-0 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 Buffles wins, 1 draw, 0 Esae wins.
| Date | Score | Competition |
|---|---|---|
| Jan 20, 2019 | Esae 0-0 Buffles | Championnat National |
How many goals should we expect?
Buffles score 0.6 and concede 0.6 goals per match over their last 15; Esae score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Buffles | 0.6 | 0.6 | 8 | 1/15 | 2/15 |
| Esae | 1.0 | 0.7 | 8 | 6/15 | 5/15 |
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 Buffles vs Esae?
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