RED Star FC 93 vs Cholet: result 2-1 and analysis
Ligue 3Regular Season - 14Kick-off on November 22, 2019 at 07:00 PM (UTC)Stade de Paris (Stade Bauer), Saint-Ouen
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What was the result of RED Star FC 93 vs Cholet?
RED Star FC 93 won 2-1 on November 22, 2019.
Goalscorers
- 45′Y. HamacheRED Star FC 93
- 57′M. ChahiriRED Star FC 93
- 77′B. KetkeophomphoneCholet
What is the recent form of both teams?
Over their last 15 matches in all competitions, RED Star FC 93 have 8 wins, 3 draws and 4 defeats; Cholet have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Theix(away) | 3-2 | Coupe de France |
| Nov 8, 2019 | Boulogne(away) | 1-0 | Ligue 3 |
| Nov 1, 2019 | Le Puy Foot(home) | 1-0 | Ligue 3 |
| Oct 18, 2019 | Bastia-Borgo(away) | 1-0 | Ligue 3 |
| Oct 4, 2019 | Avranches(home) | 2-0 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2019 | Beziers(home) | 2-1 | Ligue 3 |
| Nov 1, 2019 | Quevilly(away) | 0-2 | Ligue 3 |
| Oct 18, 2019 | Lyon Duchere(home) | 3-0 | Ligue 3 |
| Oct 4, 2019 | Gazelec FC Ajaccio(away) | 1-1 | Ligue 3 |
| Sep 27, 2019 | Boulogne(away) | 2-1 | Ligue 3 |
What does the head-to-head say?
Across the last 2 meetings: 2 RED Star FC 93 win(s), 0 draw(s), 0 Cholet win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 13, 2018 | RED Star FC 93 1-0 Cholet | Ligue 3 |
| Aug 11, 2017 | Cholet 1-2 RED Star FC 93 | Ligue 3 |
Last archived meeting: RED Star FC 93 vs Cholet on Jan 13, 2018
How many goals should we expect?
RED Star FC 93 score 1.5 and concede 1.0 goals per match over their last 15; Cholet score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RED Star FC 93 | 1.5 | 1.0 | 7 | 6/15 | 7/15 |
| Cholet | 1.5 | 1.4 | 2 | 11/15 | 9/15 |
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