Mantes 78 vs Arras: result 4-2 and analysis
National 2 - Group ARegular Season - 16Kick-off on January 24, 2015 at 05:00 PM (UTC)Stade Aimé Bergeal, Mantes-la-Ville
Full time
What was the result of Mantes 78 vs Arras?
Mantes 78 won 4-2 on January 24, 2015.
Goalscorers
- 13′Y. El BaillalMantes 78
- 35′Yvan DzierzynskiArras
- 45′Dylan Ludovic Duventru-HuretMantes 78
- 47′Sébastien DidierMantes 78
- 48′M. Joao BatyArras
- 57′Yvan DzierzynskiMantes 78 (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mantes 78 have 4 wins, 4 draws and 7 defeats; Arras have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 17, 2015 | Sedan(away) | 1-3 | National 2 - Group A |
| Jan 3, 2015 | Calais(home) | 3-0 | National 2 - Group A |
| Dec 13, 2014 | Sannois-St-Gratien(away) | 0-0 | National 2 - Group A |
| Nov 29, 2014 | Ivry(home) | 2-0 | National 2 - Group A |
| Nov 22, 2014 | PSG II(away) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 20, 2014 | Dieppe(away) | 0-1 | National 2 - Group A |
| Dec 6, 2014 | Dunkerque(home) | 2-4 | Coupe de France |
| Nov 29, 2014 | Romorantin(away) | 1-1 | National 2 - Group A |
| Nov 22, 2014 | Amiens AC(away) | 1-2 | National 2 - Group A |
| Nov 15, 2014 | Gazelec FC Ajaccio(home) | 2-0 | Coupe de France |
What does the head-to-head say?
Across the last 1 meetings: 0 Mantes 78 win(s), 0 draw(s), 1 Arras win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2014 | Arras 3-0 Mantes 78 | National 2 - Group A |
How many goals should we expect?
Mantes 78 score 1.0 and concede 1.5 goals per match over their last 15; Arras score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mantes 78 | 1.0 | 1.5 | 6 | 4/15 | 8/15 |
| Arras | 1.4 | 1.7 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy