Arras vs Lens II: result 2-1 and analysis
National 2 - Group ARegular Season - 28Kick-off on May 14, 2016 at 04:00 PM (UTC)Stade Degouve Brabant, Arras
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What was the result of Arras vs Lens II?
Arras won 2-1 on May 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arras have 5 wins, 3 draws and 7 defeats; Lens II have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | Boulogne-Billancourt(away) | 2-1 | National 2 - Group A |
| Apr 30, 2016 | Amiens AC(home) | 3-0 | National 2 - Group A |
| Apr 16, 2016 | Troyes II(away) | 2-0 | National 2 - Group A |
| Apr 9, 2016 | Croix Football IC(home) | 0-1 | National 2 - Group A |
| Apr 2, 2016 | Poissy(away) | 1-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | PSG II(home) | 2-1 | National 2 - Group A |
| Apr 30, 2016 | Calais(away) | 2-1 | National 2 - Group A |
| Apr 16, 2016 | Entente S St Gratien(home) | 1-0 | National 2 - Group A |
| Apr 9, 2016 | Wasquehal(away) | 3-3 | National 2 - Group A |
| Apr 2, 2016 | Mantes 78(home) | 1-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 1 Arras win, 0 draws, 2 Lens II wins.
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2015 | Lens II 2-1 Arras | National 2 - Group A |
| Feb 14, 2015 | Lens II 1-0 Arras | National 2 - Group A |
| Sep 6, 2014 | Arras 2-1 Lens II | National 2 - Group A |
How many goals should we expect?
Arras score 1.5 and concede 1.4 goals per match over their last 15; Lens II score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arras | 1.5 | 1.4 | 3 | 9/15 | 10/15 |
| Lens II | 1.2 | 1.4 | 1 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Arras vs Lens II?
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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