Vitré vs Le Havre II: result 1-2 and analysis
National 2 - Group CRegular Season - 23Kick-off on March 23, 2019 at 05:00 PM (UTC)Stade Municipal de Vitré, Vitré
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What was the result of Vitré vs Le Havre II?
Le Havre II won 1-2 on March 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vitré have 5 wins, 7 draws and 3 defeats; Le Havre II have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2019 | PSG II(away) | 3-1 | National 2 - Group C |
| Mar 9, 2019 | Lorient II(home) | 0-2 | National 2 - Group C |
| Mar 6, 2019 | Nantes(home) | 0-2 | Coupe de France |
| Feb 23, 2019 | Bastia-Borgo(away) | 2-2 | National 2 - Group C |
| Feb 16, 2019 | Granville(home) | 2-2 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2019 | Oissel(home) | 1-2 | National 2 - Group C |
| Mar 9, 2019 | C' Chartres(away) | 0-1 | National 2 - Group C |
| Feb 27, 2019 | PSG II(away) | 1-1 | National 2 - Group C |
| Feb 23, 2019 | Nantes II(home) | 1-3 | National 2 - Group C |
| Feb 16, 2019 | Furiani-Agliani(away) | 1-2 | National 2 - Group C |
What does the head-to-head say?
Across the last 3 meetings: 1 Vitré win(s), 0 draw(s), 2 Le Havre II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2018 | Le Havre II 2-0 Vitré | National 2 - Group C |
| Apr 14, 2018 | Vitré 1-2 Le Havre II | National 2 - Group D |
| Nov 25, 2017 | Le Havre II 1-2 Vitré | National 2 - Group D |
How many goals should we expect?
Vitré score 1.3 and concede 1.1 goals per match over their last 15; Le Havre II score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vitré | 1.3 | 1.1 | 6 | 6/15 | 7/15 |
| Le Havre II | 0.8 | 1.9 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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