Lyon Duchere vs Tours: result 2-2 and analysis
Ligue 3Regular Season - 33Kick-off on May 9, 2019 at 06:45 PM (UTC)Stade de Balmont, Lyon
Full time
What was the result of Lyon Duchere vs Tours?
Lyon Duchere and Tours drew 2-2 on May 9, 2019.
Goalscorers
- 18′J. DonisaLyon Duchere
- 45′P. KenyTours
- 47′J. DonisaLyon Duchere
- 84′A. AléguéTours
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyon Duchere have 6 wins, 3 draws and 6 defeats; Tours 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 |
|---|---|---|---|
| May 3, 2019 | Villefranche(away) | 1-0 | Ligue 3 |
| Apr 19, 2019 | PAU(home) | 3-2 | Ligue 3 |
| Apr 12, 2019 | Le Mans(away) | 1-2 | Ligue 3 |
| Apr 5, 2019 | Dunkerque(home) | 0-0 | Ligue 3 |
| Mar 29, 2019 | Avranches(away) | 1-1 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2019 | Laval(home) | 1-1 | Ligue 3 |
| Apr 19, 2019 | Drancy(away) | 0-1 | Ligue 3 |
| Apr 12, 2019 | Bourg-en-bresse 01(home) | 1-0 | Ligue 3 |
| Apr 5, 2019 | Boulogne(away) | 1-1 | Ligue 3 |
| Mar 29, 2019 | Quevilly(home) | 1-1 | Ligue 3 |
What does the head-to-head say?
In the last meeting: 1 Lyon Duchere win, 0 draws, 0 Tours wins.
| Date | Score | Competition |
|---|---|---|
| Dec 21, 2018 | Tours 0-1 Lyon Duchere | Ligue 3 |
Last archived meeting: Tours vs Lyon Duchere on Dec 21, 2018
How many goals should we expect?
Lyon Duchere score 1.3 and concede 1.3 goals per match over their last 15; Tours score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyon Duchere | 1.3 | 1.3 | 3 | 11/15 | 9/15 |
| Tours | 0.7 | 0.8 | 7 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about Lyon Duchere vs Tours?
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