Romorantin vs Dieppe: result 0-2 and analysis
National 2 - Group ARegular Season - 30Kick-off on May 23, 2015 at 04:00 PM (UTC)Stade Jules Ladoumègue
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What was the result of Romorantin vs Dieppe?
Dieppe won 0-2 on May 23, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romorantin have 2 wins, 5 draws and 8 defeats; Dieppe have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | PSG II(away) | 1-1 | National 2 - Group A |
| May 9, 2015 | Roye Noyon(away) | 0-1 | National 2 - Group A |
| May 2, 2015 | Quevilly(home) | 0-2 | National 2 - Group A |
| Apr 25, 2015 | Arras(away) | 0-0 | National 2 - Group A |
| Apr 18, 2015 | Calais(away) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Roye Noyon(home) | 1-0 | National 2 - Group A |
| May 9, 2015 | Arras(away) | 0-0 | National 2 - Group A |
| May 2, 2015 | Amiens AC(home) | 1-0 | National 2 - Group A |
| Apr 25, 2015 | Sedan(away) | 0-3 | National 2 - Group A |
| Apr 11, 2015 | Calais(home) | 3-0 | National 2 - Group A |
What does the head-to-head say?
In the last meeting: 1 Romorantin win, 0 draws, 0 Dieppe wins.
| Date | Score | Competition |
|---|---|---|
| Aug 16, 2014 | Dieppe 0-1 Romorantin | National 2 - Group A |
How many goals should we expect?
Romorantin score 0.6 and concede 1.1 goals per match over their last 15; Dieppe score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 0.6 | 1.1 | 5 | 4/15 | 3/15 |
| Dieppe | 0.9 | 1.0 | 5 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Dieppe | 7 | 2 | 3 | 2 | 9 | 9 | 9 |
A question about Romorantin vs Dieppe?
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