Quevilly vs Rodez: result 0-1 and analysis
Ligue 3Regular Season - 29Kick-off on April 5, 2019 at 06:00 PM (UTC)Stade Robert Diochon, Le Petit-Quevilly
Full time
What was the result of Quevilly vs Rodez?
Rodez won 0-1 on April 5, 2019.
Goalscorers
- 44′Erwan MauryRodez
What is the recent form of both teams?
Over their last 15 matches in all competitions, Quevilly have 2 wins, 7 draws and 6 defeats; Rodez have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | Tours(away) | 1-1 | Ligue 3 |
| Mar 21, 2019 | Villefranche(home) | 1-3 | Ligue 3 |
| Mar 15, 2019 | PAU(away) | 0-3 | Ligue 3 |
| Mar 7, 2019 | Le Mans(home) | 1-1 | Ligue 3 |
| Mar 1, 2019 | Dunkerque(away) | 0-0 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | Concarneau(home) | 2-1 | Ligue 3 |
| Mar 21, 2019 | Tours(home) | 3-0 | Ligue 3 |
| Mar 15, 2019 | Villefranche(away) | 1-1 | Ligue 3 |
| Mar 8, 2019 | PAU(home) | 2-0 | Ligue 3 |
| Mar 2, 2019 | Le Mans(away) | 1-0 | Ligue 3 |
What does the head-to-head say?
In the last meeting: 1 Quevilly win, 0 draws, 0 Rodez wins.
| Date | Score | Competition |
|---|---|---|
| Nov 9, 2018 | Rodez 0-1 Quevilly | Ligue 3 |
How many goals should we expect?
Quevilly score 0.8 and concede 1.3 goals per match over their last 15; Rodez score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Quevilly | 0.8 | 1.3 | 4 | 9/15 | 6/15 |
| Rodez | 1.5 | 0.7 | 7 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Quevilly | 9 | 2 | 4 | 3 | 8 | 12 | 10 |
A question about Quevilly vs Rodez?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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