Romorantin vs Limoges: result 2-1 and analysis
National 2 - Group DRegular Season - 6Kick-off on September 16, 2017 at 04:00 PM (UTC)Stade Jules Ladoumègue
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What was the result of Romorantin vs Limoges?
Romorantin won 2-1 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Romorantin have 8 wins, 5 draws and 2 defeats; Limoges have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Trélissac(home) | 5-0 | National 2 - Group D |
| Sep 2, 2017 | Mantes 78(away) | 4-1 | National 2 - Group D |
| Aug 26, 2017 | Saint-Malo(home) | 2-2 | National 2 - Group D |
| Aug 19, 2017 | St-Pryvé St-Hilaire(away) | 2-0 | National 2 - Group D |
| Aug 12, 2017 | Granville(home) | 2-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Mantes 78(home) | 2-2 | National 2 - Group D |
| Sep 2, 2017 | Saint-Malo(away) | 0-2 | National 2 - Group D |
| Aug 26, 2017 | St-Pryvé St-Hilaire(home) | 1-1 | National 2 - Group D |
| Aug 19, 2017 | Granville(away) | 1-0 | National 2 - Group D |
| Aug 12, 2017 | Stade Briochin(home) | 1-1 | National 2 - Group D |
How many goals should we expect?
Romorantin score 2.0 and concede 0.9 goals per match over their last 15; Limoges score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 2.0 | 0.9 | 6 | 9/15 | 8/15 |
| Limoges | 1.1 | 1.7 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Romorantin | 30 | 12 | 7 | 11 | 40 | 40 | 43 |
A question about Romorantin vs Limoges?
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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