Bayonne vs Bressuire: prediction and stats
National 3 - Group ANouvelle-Aquitaine - 6Kick-off on October 24, 2020 at 04:00 PM (UTC)Stade Didier Deschamps, Bayonne
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayonne have 4 wins, 2 draws and 9 defeats; Bressuire have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Poitiers(away) | 0-2 | National 3 - Group A |
| Sep 26, 2020 | Chauvigny(home) | 4-0 | National 3 - Group A |
| Sep 5, 2020 | CA Neuville(away) | 0-1 | National 3 - Group A |
| Jul 24, 2020 | Ajaccio(home) | 1-2 | Friendlies Clubs |
| Jan 4, 2020 | Nantes(home) | 0-2 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | CA Neuville(home) | 1-0 | National 3 - Group A |
| Sep 26, 2020 | Libourne(away) | 0-1 | National 3 - Group A |
| Sep 12, 2020 | Stade Bordelais(home) | 1-3 | National 3 - Group A |
| Sep 5, 2020 | Lège-Cap-Ferret(away) | 0-1 | National 3 - Group A |
| Aug 29, 2020 | Châtellerault(home) | 1-1 | National 3 - Group A |
How many goals should we expect?
Bayonne score 0.9 and concede 1.1 goals per match over their last 15; Bressuire score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayonne | 0.9 | 1.1 | 4 | 4/15 | 4/15 |
| Bressuire | 1.1 | 1.3 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Bayonne | 26 | 16 | 8 | 2 | 49 | 17 | 56 |
A question about Bayonne vs Bressuire?
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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