Romorantin vs Pontivy GSI: result 0-0 and analysis
National 2 - Group DRegular Season - 3Kick-off on August 27, 2011 at 05:00 PM (UTC)Stade Jules Ladoumègue
Full time
What was the result of Romorantin vs Pontivy GSI?
Romorantin and Pontivy GSI drew 0-0 on August 27, 2011.
Official lineup for Romorantin vs Pontivy GSI
The starting elevens fielded at kick-off.
Romorantin
- AA. Robic
- JJ. Girard
- MMissada Saytaïfa
- LL. M'Baye
- JJ. Deichelbohrer
- CC. Ramiadamanana
- BB. N'Dala
- AAudrick Linord
- FF. Nicolas
- NNathalino Robalo
- NN. Melet
Pontivy GSI
- JJean-Marie Eveno
- MM. Tison
- EEdern Guyader
- FF. Paillot
- RR. Christophe
- MM. Le Guevel
- PPierre Offrédo
- CC. Duclovel
- KK. Bas
- BB. Lakbir
- AA. Petit
What is the recent form of both teams?
Over their last 2 matches in all competitions, Romorantin have 1 win, 0 draws and 1 defeat; Pontivy GSI have 1, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2011 | Les Herbiers(away) | 4-2 | National 2 - Group D |
| Aug 13, 2011 | Vendée Fontenay(home) | 1-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2011 | Mantes 78(home) | 1-0 | National 2 - Group D |
| Aug 14, 2011 | Lorient II(away) | 0-0 | National 2 - Group D |
How many goals should we expect?
Romorantin score 2.5 and concede 2.0 goals per match over their last 2; Pontivy GSI score 0.5 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Romorantin | 2.5 | 2.0 | 0 | 2/2 | 2/2 |
| Pontivy GSI | 0.5 | 0.0 | 2 | 0/2 | 0/2 |
Over the last 2 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 Pontivy GSI?
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