Metz vs RED Star FC 93: result 1-0 and analysis
Coupe de la Ligue16th FinalsKick-off on October 25, 2017 at 07:05 PM (UTC)Stade Saint-Symphorien, Longeville-lès-Metz
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What was the result of Metz vs RED Star FC 93?
Metz won 1-0 on October 25, 2017.
Goalscorers
- 66′M. DosseviMetz
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metz have 3 wins, 1 draws and 11 defeats; RED Star FC 93 have 4, 8 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2017 | Dijon(home) | 1-2 | Ligue 1 |
| Oct 14, 2017 | Saint Etienne(away) | 1-3 | Ligue 1 |
| Sep 30, 2017 | Nantes(away) | 0-1 | Ligue 1 |
| Sep 23, 2017 | Estac Troyes(home) | 0-1 | Ligue 1 |
| Sep 17, 2017 | Angers(away) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2017 | Les Herbiers(away) | 0-0 | Ligue 3 |
| Sep 29, 2017 | Chambly Thelle FC(home) | 2-0 | Ligue 3 |
| Sep 22, 2017 | Beziers(away) | 0-1 | Ligue 3 |
| Sep 16, 2017 | Laval(home) | 1-1 | Ligue 3 |
| Sep 9, 2017 | Grenoble(away) | 0-0 | Ligue 3 |
What does the head-to-head say?
Across the last 4 meetings: 2 Metz win(s), 1 draw(s), 1 RED Star FC 93 win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 22, 2016 | Metz 2-0 RED Star FC 93 | Ligue 2 |
| Dec 1, 2015 | RED Star FC 93 3-1 Metz | Ligue 2 |
| Apr 12, 2013 | RED Star FC 93 0-2 Metz | Ligue 3 |
| Nov 10, 2012 | Metz 1-1 RED Star FC 93 | Ligue 3 |
Last archived meeting: Metz vs RED Star FC 93 on Apr 22, 2016
How many goals should we expect?
Metz score 0.7 and concede 1.8 goals per match over their last 15; RED Star FC 93 score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metz | 0.7 | 1.8 | 2 | 7/15 | 6/15 |
| RED Star FC 93 | 0.9 | 0.8 | 6 | 6/15 | 3/15 |
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