Calais vs Quevilly: result 0-2 and analysis
National 2 - Group ARegular Season - 16Kick-off on February 27, 2016 at 05:00 PM (UTC)Stade de l'Epopée, Calais
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What was the result of Calais vs Quevilly?
Quevilly won 0-2 on February 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Calais have 6 wins, 5 draws and 4 defeats; Quevilly have 3, 9 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2016 | Lens II(away) | 2-1 | National 2 - Group A |
| Feb 20, 2016 | Aubervilliers(away) | 0-0 | National 2 - Group A |
| Feb 13, 2016 | Arras(home) | 3-1 | National 2 - Group A |
| Feb 6, 2016 | Wasquehal(home) | 1-0 | National 2 - Group A |
| Jan 30, 2016 | PSG II(away) | 0-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Boulogne-Billancourt(home) | 4-1 | National 2 - Group A |
| Feb 13, 2016 | PSG II(away) | 0-0 | National 2 - Group A |
| Jan 30, 2016 | Amiens AC(home) | 1-1 | National 2 - Group A |
| Jan 15, 2016 | Mantes 78(away) | 3-4 | National 2 - Group A |
| Jan 9, 2016 | Entente S St Gratien(home) | 1-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 1 Calais win, 0 draws, 2 Quevilly wins.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2015 | Quevilly 1-0 Calais | National 2 - Group A |
| Jan 24, 2015 | Quevilly 1-2 Calais | National 2 - Group A |
| Aug 23, 2014 | Calais 0-2 Quevilly | National 2 - Group A |
How many goals should we expect?
Calais score 1.1 and concede 1.0 goals per match over their last 15; Quevilly score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calais | 1.1 | 1.0 | 5 | 6/15 | 5/15 |
| Quevilly | 1.4 | 1.3 | 6 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Calais vs Quevilly?
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