Romorantin vs Cholet: result 1-1 and analysis
National 2 - Group ARegular Season - 28Kick-off on April 29, 2017 at 04:00 PM (UTC)Stade Jules Ladoumègue
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What was the result of Romorantin vs Cholet?
Romorantin and Cholet drew 1-1 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romorantin have 8 wins, 3 draws and 4 defeats; Cholet have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Mantes 78(away) | 0-0 | National 2 - Group A |
| Apr 15, 2017 | PSG II(home) | 1-0 | National 2 - Group A |
| Apr 8, 2017 | Chartres(away) | 4-1 | National 2 - Group A |
| Apr 1, 2017 | St Malo US(home) | 3-1 | National 2 - Group A |
| Mar 18, 2017 | Bergerac(away) | 1-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Vendée Fontenay(away) | 1-1 | National 2 - Group A |
| Apr 15, 2017 | Mantes 78(home) | 1-0 | National 2 - Group A |
| Apr 8, 2017 | PSG II(away) | 3-3 | National 2 - Group A |
| Apr 1, 2017 | Nantes II(away) | 2-2 | National 2 - Group A |
| Mar 25, 2017 | Chartres(home) | 1-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 3 meetings: 1 Romorantin win(s), 1 draw(s), 1 Cholet win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2016 | Cholet 0-2 Romorantin | National 2 - Group A |
| Mar 12, 2016 | Cholet 3-1 Romorantin | National 2 - Group D |
| Oct 3, 2015 | Romorantin 1-1 Cholet | National 2 - Group D |
How many goals should we expect?
Romorantin score 1.3 and concede 0.8 goals per match over their last 15; Cholet score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 1.3 | 0.8 | 8 | 4/15 | 5/15 |
| Cholet | 1.3 | 1.0 | 6 | 6/15 | 4/15 |
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