Rennes II vs Vitré: result 3-1 and analysis
National 2 - Group DRegular Season - 30Kick-off on May 19, 2018 at 04:00 PM (UTC)Stade de la Piverdière, Rennes
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What was the result of Rennes II vs Vitré?
Rennes II won 3-1 on May 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rennes II have 6 wins, 4 draws and 5 defeats; Vitré have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Lorient II(away) | 2-2 | National 2 - Group D |
| Apr 28, 2018 | Boulogne-Billancourt(home) | 1-0 | National 2 - Group D |
| Apr 21, 2018 | Le Havre II(away) | 0-2 | National 2 - Group D |
| Apr 14, 2018 | Limoges(home) | 1-1 | National 2 - Group D |
| Apr 7, 2018 | Romorantin(away) | 2-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Trélissac(home) | 1-2 | National 2 - Group D |
| Apr 28, 2018 | Lorient II(home) | 0-0 | National 2 - Group D |
| Apr 21, 2018 | Boulogne-Billancourt(away) | 2-1 | National 2 - Group D |
| Apr 14, 2018 | Le Havre II(home) | 1-2 | National 2 - Group D |
| Apr 7, 2018 | Limoges(away) | 3-0 | National 2 - Group D |
What does the head-to-head say?
Across the last 3 meetings: 2 Rennes II win(s), 0 draw(s), 1 Vitré win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2017 | Vitré 1-2 Rennes II | National 2 - Group D |
| Mar 18, 2017 | Vitré 1-0 Rennes II | National 2 - Group A |
| Oct 29, 2016 | Rennes II 1-0 Vitré | National 2 - Group A |
How many goals should we expect?
Rennes II score 1.1 and concede 1.3 goals per match over their last 15; Vitré score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rennes II | 1.1 | 1.3 | 4 | 8/15 | 8/15 |
| Vitré | 1.3 | 1.4 | 4 | 11/15 | 11/15 |
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