Buffles vs Ayema: result 3-0 and analysis
Championnat NationalRegular Season - 24Kick-off on April 21, 2019 at 03:00 PM (UTC)Stade Municipal de Parakou, Parakou
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What was the result of Buffles vs Ayema?
Buffles won 3-0 on April 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Buffles have 8 wins, 4 draws and 3 defeats; Ayema have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2019 | ASVO(away) | 1-0 | Championnat National |
| Apr 13, 2019 | Avrankou Omnisport(home) | 1-0 | Championnat National |
| Apr 10, 2019 | Béké Bembèrèkè(home) | 0-1 | Championnat National |
| Apr 7, 2019 | ASPAC(away) | 1-0 | Championnat National |
| Mar 10, 2019 | Soleil(away) | 0-1 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2019 | ASOS(home) | 1-1 | Championnat National |
| Apr 13, 2019 | Béké Bembèrèkè(away) | 0-1 | Championnat National |
| Apr 10, 2019 | Avrankou Omnisport(home) | 3-1 | Championnat National |
| Mar 9, 2019 | Esae(home) | 0-1 | Championnat National |
| Mar 3, 2019 | Dragons(home) | 1-0 | Championnat National |
What does the head-to-head say?
Across the last 1 meetings: 1 Buffles win(s), 0 draw(s), 0 Ayema win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2018 | Buffles 2-0 Ayema | Championnat National |
How many goals should we expect?
Buffles score 0.7 and concede 0.3 goals per match over their last 15; Ayema score 0.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Buffles | 0.7 | 0.3 | 11 | 1/15 | 0/15 |
| Ayema | 0.8 | 0.7 | 6 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Buffles sit 5th in Championnat National (50 points from 33 matches) and Ayema sit 12th (39 points from 33 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Buffles | 33 | 13 | 11 | 9 | 32 | 22 | 50 |
| 12 | Ayema | 33 | 9 | 12 | 12 | 18 | 19 | 39 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy