Lorient II vs Montlouis: result 2-1 and analysis
National 2 - Group AGroup A - 7Kick-off on October 4, 2025 at 04:00 PM (UTC)Stade Jean Charter 1, Quimperle
Full time
What was the result of Lorient II vs Montlouis?
Lorient II won 2-1 on October 4, 2025.
Goalscorers
- 15′B. MaconLorient II
- 26′S. BaldoniLorient II
- 85′579391Montlouis
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lorient II have 10 wins, 1 draw and 4 defeats; Montlouis have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2025 | Dinan Léhon(away) | 3-0 | National 2 - Group A |
| Sep 13, 2025 | Granville(away) | 2-1 | National 2 - Group A |
| Sep 6, 2025 | Saint-Colomban Locminé(home) | 1-1 | National 2 - Group A |
| Aug 30, 2025 | Chauray(away) | 0-1 | National 2 - Group A |
| Aug 23, 2025 | La Roche VF(home) | 0-2 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2025 | Saint-Colomban Locminé(home) | 4-1 | National 2 - Group A |
| Sep 13, 2025 | Chauray(away) | 1-2 | National 2 - Group A |
| Sep 6, 2025 | La Roche VF(home) | 1-4 | National 2 - Group A |
| Aug 30, 2025 | Poitiers(away) | 1-2 | National 2 - Group A |
| Aug 23, 2025 | Angoulême(home) | 0-1 | National 2 - Group A |
How many goals should we expect?
Lorient II score 1.8 and concede 1.1 goals per match over their last 15; Montlouis score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lorient II | 1.8 | 1.1 | 5 | 7/15 | 8/15 |
| Montlouis | 1.5 | 1.0 | 6 | 7/15 | 6/15 |
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 | Montlouis | 7 | 1 | 3 | 3 | 7 | 13 | 6 |
A question about Lorient II vs Montlouis?
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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