Limonest vs St Maur Lusitanos: result 0-1 and analysis
National 2 - Group CGroup C · Matchday 4Kick-off on September 6, 2025 at 03:00 PM (UTC)Stade Courtois Fillot, Limonest
Full time
What was the result of Limonest vs St Maur Lusitanos?
St Maur Lusitanos won 0-1 on September 6, 2025.
Goalscorers
- 72′E. ElodonSt Maur Lusitanos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Limonest have 6 wins, 5 draws and 4 defeats; St Maur Lusitanos have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2025 | Rousset-Ste Victoire(away) | 1-2 | National 2 - Group C |
| Aug 23, 2025 | Chasselay MDA(home) | 0-0 | National 2 - Group C |
| Aug 16, 2025 | Nimes(away) | 0-2 | National 2 - Group C |
| Aug 1, 2025 | Villefranche(away) | 2-2 | Friendlies Clubs |
| May 17, 2025 | Clermont II(home) | 1-2 | National 3 - Group I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2025 | Istres(home) | 1-0 | National 2 - Group C |
| Aug 23, 2025 | Andrézieux(away) | 1-0 | National 2 - Group C |
| Aug 16, 2025 | Cannes(home) | 1-1 | National 2 - Group C |
| May 17, 2025 | Sainte Geneviève(away) | 1-1 | National 3 - Group G |
| May 10, 2025 | Louhans-Cuiseaux(home) | 5-0 | National 3 - Group G |
How many goals should we expect?
Limonest score 1.2 and concede 1.3 goals per match over their last 15; St Maur Lusitanos score 1.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Limonest | 1.2 | 1.3 | 6 | 7/15 | 8/15 |
| St Maur Lusitanos | 1.7 | 0.8 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 12 | Limonest | 9 | 1 | 5 | 3 | 10 | 14 | 8 |
A question about Limonest vs St Maur Lusitanos?
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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