Grand-Quevilly vs AG Caennaise: prediction and stats
National 3 - Group JGroup J - 17Kick-off on March 21, 2020 at 12:00 AM (UTC)Stade Chêne À Leu 1, Le Grand Quevilly
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grand-Quevilly have 4 wins, 3 draws and 8 defeats; AG Caennaise have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Caen II(away) | 0-2 | National 3 - Group J |
| Feb 15, 2020 | Cherbourg(away) | 1-2 | National 3 - Group J |
| Feb 8, 2020 | Vire(home) | 2-2 | National 3 - Group J |
| Jan 25, 2020 | Dieppe(away) | 1-0 | National 3 - Group J |
| Jan 18, 2020 | Évreux(home) | 1-1 | National 3 - Group J |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Alençon(away) | 0-6 | National 3 - Group J |
| Feb 15, 2020 | Vire(home) | 1-1 | National 3 - Group J |
| Feb 8, 2020 | Quevilly II(away) | 3-1 | National 3 - Group J |
| Jan 25, 2020 | Évreux(home) | 1-1 | National 3 - Group J |
| Jan 11, 2020 | Saint-Lô Manche(away) | 1-4 | National 3 - Group J |
What does the head-to-head say?
In the last meeting: 0 Grand-Quevilly wins, 0 draws, 1 AG Caennaise win.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2019 | AG Caennaise 2-0 Grand-Quevilly | National 3 - Group J |
Last archived meeting: AG Caennaise vs Grand-Quevilly on Sep 21, 2019
How many goals should we expect?
Grand-Quevilly score 1.6 and concede 1.9 goals per match over their last 15; AG Caennaise score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grand-Quevilly | 1.6 | 1.9 | 1 | 10/15 | 10/15 |
| AG Caennaise | 1.4 | 1.6 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Grand-Quevilly vs AG Caennaise?
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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