Cholet vs Lorient II: result 1-0 and analysis
National 2 - Group DRegular Season - 25Kick-off on April 16, 2016 at 04:00 PM (UTC)Stade Pierre Blouen, Cholet
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What was the result of Cholet vs Lorient II?
Cholet won 1-0 on April 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cholet have 4 wins, 5 draws and 6 defeats; Lorient II have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Stade Bordelais(away) | 0-2 | National 2 - Group D |
| Apr 2, 2016 | Bordeaux II(home) | 3-0 | National 2 - Group D |
| Mar 19, 2016 | Châteaubriant(away) | 1-2 | National 2 - Group D |
| Mar 12, 2016 | Romorantin(home) | 3-1 | National 2 - Group D |
| Mar 5, 2016 | St Malo US(away) | 0-3 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Bordeaux II(home) | 1-0 | National 2 - Group D |
| Apr 2, 2016 | Romorantin(away) | 0-1 | National 2 - Group D |
| Mar 19, 2016 | Stade Plabennec(home) | 2-3 | National 2 - Group D |
| Mar 12, 2016 | Vendée Fontenay(away) | 2-2 | National 2 - Group D |
| Mar 5, 2016 | Vitré(home) | 2-0 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Cholet win(s), 1 draw(s), 0 Lorient II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2015 | Lorient II 1-1 Cholet | National 2 - Group D |
How many goals should we expect?
Cholet score 0.9 and concede 1.2 goals per match over their last 15; Lorient II score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cholet | 0.9 | 1.2 | 4 | 7/15 | 6/15 |
| Lorient II | 1.1 | 1.1 | 4 | 8/15 | 4/15 |
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 | Lorient II | 30 | 9 | 12 | 9 | 39 | 33 | 39 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy