Chartres vs Romorantin: result 1-4 and analysis
National 2 - Group ARegular Season - 25Kick-off on April 8, 2017 at 04:00 PM (UTC)Stade Jacques Couvret, Chartres
Full time
What was the result of Chartres vs Romorantin?
Romorantin won 1-4 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chartres have 3 wins, 6 draws and 6 defeats; Romorantin have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Cholet(away) | 1-1 | National 2 - Group A |
| Mar 18, 2017 | Mantes 78(home) | 1-1 | National 2 - Group A |
| Mar 11, 2017 | PSG II(away) | 1-1 | National 2 - Group A |
| Mar 4, 2017 | Vendée Fontenay(away) | 3-3 | National 2 - Group A |
| Feb 25, 2017 | Lorient II(home) | 1-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | St Malo US(home) | 3-1 | National 2 - Group A |
| Mar 18, 2017 | Bergerac(away) | 1-2 | National 2 - Group A |
| Mar 11, 2017 | Nantes II(home) | 1-1 | National 2 - Group A |
| Mar 4, 2017 | Granville(away) | 1-0 | National 2 - Group A |
| Feb 25, 2017 | Châteaubriant(away) | 0-2 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 0 Chartres wins, 0 draws, 1 Romorantin win.
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2016 | Romorantin 1-0 Chartres | National 2 - Group A |
Last archived meeting: Romorantin vs Chartres on Nov 19, 2016
How many goals should we expect?
Chartres score 1.1 and concede 1.3 goals per match over their last 15; Romorantin score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chartres | 1.1 | 1.3 | 4 | 8/15 | 6/15 |
| Romorantin | 1.3 | 0.9 | 8 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Chartres vs Romorantin?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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