Sochaux II vs Valdahon Vercel: prediction and stats
National 3 - Group EBourgogne-Franche-Comté - 6Kick-off on October 25, 2020 at 02:00 PM (UTC)Stade René Blum, Montbéliard
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sochaux II have 6 wins, 6 draws and 3 defeats; Valdahon Vercel have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Gueugnon(away) | 2-3 | National 3 - Group E |
| Sep 26, 2020 | Saint-Apollinaire(home) | 2-1 | National 3 - Group E |
| Sep 11, 2020 | Morteau Montlebon(away) | 1-1 | National 3 - Group E |
| Sep 6, 2020 | Paron(home) | 1-0 | National 3 - Group E |
| Aug 29, 2020 | Grandvillars(away) | 0-0 | National 3 - Group E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Besançon(home) | 1-2 | National 3 - Group E |
| Sep 26, 2020 | Dijon II(away) | 0-0 | National 3 - Group E |
| Sep 12, 2020 | Gueugnon(away) | 0-6 | National 3 - Group E |
| Sep 6, 2020 | Saint-Apollinaire(home) | 1-2 | National 3 - Group E |
| Aug 29, 2020 | Morteau Montlebon(away) | 0-3 | National 3 - Group E |
What does the head-to-head say?
In the last meeting: 1 Sochaux II win, 0 draws, 0 Valdahon Vercel wins.
| Date | Score | Competition |
|---|---|---|
| Nov 9, 2019 | Sochaux II 2-0 Valdahon Vercel | National 3 - Group E |
Last archived meeting: Sochaux II vs Valdahon Vercel on Nov 9, 2019
How many goals should we expect?
Sochaux II score 1.7 and concede 1.3 goals per match over their last 15; Valdahon Vercel score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sochaux II | 1.7 | 1.3 | 4 | 11/15 | 8/15 |
| Valdahon Vercel | 0.9 | 2.1 | 2 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Sochaux II vs Valdahon Vercel?
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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