Beauvais vs Vimy: result 1-2 and analysis
National 3 - Group IGroup I - 1Kick-off on August 17, 2019 at 04:00 PM (UTC)Stade Pierre Brisson, Beauvais
Full time
What was the result of Beauvais vs Vimy?
Vimy won 1-2 on August 17, 2019.
Goalscorers
- 10′Franck DutrugeBeauvais
- 63′H. MayomboVimy
- 76′J. KostrzewaVimy
Official lineup for Beauvais vs Vimy
The starting elevens fielded at kick-off.
Beauvais
- 9D. Mayenga
- 11Franck Dutruge
- 5I. Diedhiou
- 6D. Traoré
- 7Eduardo Rodrigo
- 8M. Mauquit
- 10F. Cissé
- 2E. Digbeu
- 3Corentin Lenglet
- 4A. Diagne
- 1S. Atrous
Vimy
- 9J. Herbaut
- 10J. Kostrzewa
- 11G. Ambroise
- 2M. Burgeat
- 6Meedy Belmir
- 7A. Abeddou
- 8R. N'Dogo
- 3Yoan Secleppe
- 4Q. Wiart
- 5A. Fofana
- 1T. Vincent
What is the recent form of both teams?
Over their last 15 matches in all competitions, Beauvais have 1 win, 4 draws and 10 defeats; Vimy have 0, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Drancy(away) | 0-0 | National 2 - Group C |
| May 12, 2018 | Arras(home) | 2-2 | National 2 - Group C |
| Apr 28, 2018 | Fleury 91(away) | 0-2 | National 2 - Group C |
| Apr 21, 2018 | Poissy(home) | 0-3 | National 2 - Group C |
| Apr 14, 2018 | Amiens AC(away) | 1-1 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2018 | Creteil(home) | 0-2 | Coupe de France |
| Nov 19, 2017 | Senlis(away) | 1-2 | Coupe de France |
| Nov 15, 2015 | Ailly(home) | 1-3 | Coupe de France |
How many goals should we expect?
Beauvais score 0.7 and concede 1.8 goals per match over their last 15; Vimy score 0.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Beauvais | 0.7 | 1.8 | 1 | 7/15 | 6/15 |
| Vimy | 0.7 | 2.3 | 0 | 2/3 | 2/3 |
Over the last 15 matches in all competitions.
A question about Beauvais vs Vimy?
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