JAK vs Buffles: result 0-1 and analysis
Championnat NationalChampionship Round - 16Kick-off on May 13, 2023 at 03:00 PM (UTC)Stade Municipal de Parakou, Parakou
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What was the result of JAK vs Buffles?
Buffles won 0-1 on May 13, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JAK have 2 wins, 6 draws and 7 defeats; Buffles have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Damissa(away) | 0-2 | Championnat National |
| May 3, 2023 | Loto Popo(home) | 0-0 | Championnat National |
| Apr 29, 2023 | Dadjè(home) | 2-0 | Championnat National |
| Apr 16, 2023 | Dadjè(away) | 0-1 | Championnat National |
| Apr 12, 2023 | Loto Popo(away) | 0-2 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2023 | ASVO(home) | 1-1 | Championnat National |
| May 3, 2023 | Requins(away) | 2-1 | Championnat National |
| Apr 29, 2023 | ASPAC(away) | 0-1 | Championnat National |
| Apr 16, 2023 | ASPAC(home) | 2-2 | Championnat National |
| Apr 12, 2023 | Requins(home) | 1-2 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 JAK wins, 0 draws, 1 Buffles win.
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2023 | Buffles 3-0 JAK | Championnat National |
How many goals should we expect?
JAK score 0.5 and concede 1.1 goals per match over their last 15; Buffles score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JAK | 0.5 | 1.1 | 5 | 4/15 | 3/15 |
| Buffles | 1.3 | 1.2 | 2 | 11/15 | 8/15 |
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 JAK vs Buffles?
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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