Lille II vs Chantilly: prediction and stats
National 3 - Group IHauts-de-France - 3Kick-off on September 12, 2020 at 04:00 PM (UTC)Complexe Sportif de Luchin, Camphin-en-Pévèle
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lille II have 3 wins, 6 draws and 6 defeats; Chantilly have 4, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2020 | Boulogne II(away) | 2-4 | National 3 - Group I |
| Aug 29, 2020 | Amiens AC(home) | 2-0 | National 3 - Group I |
| Mar 7, 2020 | Bobigny(home) | 0-0 | National 2 - Group A |
| Feb 22, 2020 | Epinal(away) | 0-1 | National 2 - Group A |
| Feb 15, 2020 | St Maur Lusitanos(home) | 1-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2020 | Le Touquet(home) | 0-1 | National 3 - Group I |
| Aug 29, 2020 | Feignies-Aulnoye(away) | 3-3 | National 3 - Group I |
| Nov 12, 2017 | Racing Colombes 92(home) | 0-3 | Coupe de France |
| Jan 3, 2016 | Guingamp(home) | 0-4 | Coupe de France |
| Dec 6, 2015 | Ailly(home) | 3-1 | Coupe de France |
How many goals should we expect?
Lille II score 0.8 and concede 1.1 goals per match over their last 15; Chantilly score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lille II | 0.8 | 1.1 | 6 | 5/15 | 4/15 |
| Chantilly | 1.1 | 1.8 | 4 | 3/12 | 7/12 |
Over the last 15 matches in all competitions.
A question about Lille II vs Chantilly?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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