Kalju Nomme vs F91 Dudelange: result 0-1 and analysis
UEFA Europa League3rd Qualifying RoundKick-off on August 13, 2019 at 04:00 PM (UTC)A. Le Coq Arena, Tallinn
Full time
What was the result of Kalju Nomme vs F91 Dudelange?
F91 Dudelange won 0-1 on August 13, 2019.
Goalscorers
- 56′D. SinaniF91 Dudelange
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalju Nomme have 7 wins, 4 draws and 4 defeats; F91 Dudelange have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2019 | F91 Dudelange(away) | 1-3 | UEFA Europa League |
| Aug 3, 2019 | Kuressaare(home) | 7-2 | Meistriliiga |
| Jul 30, 2019 | Celtic(home) | 0-2 | UEFA Champions League |
| Jul 24, 2019 | Celtic(away) | 0-5 | UEFA Champions League |
| Jul 19, 2019 | Paide(home) | 1-1 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2019 | Kalju Nomme(home) | 3-1 | UEFA Europa League |
| Aug 4, 2019 | Blue Boys Muhlenbach(home) | 3-1 | National Division |
| Jul 30, 2019 | Shkendija(home) | 1-1 | UEFA Europa League |
| Jul 23, 2019 | Shkendija(away) | 2-1 | UEFA Europa League |
| Jul 16, 2019 | Valletta FC(away) | 1-1 | UEFA Champions League |
What does the head-to-head say?
Across the last 1 meetings: 0 Kalju Nomme win(s), 0 draw(s), 1 F91 Dudelange win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 8, 2019 | F91 Dudelange 3-1 Kalju Nomme | UEFA Europa League |
Last archived meeting: F91 Dudelange vs Kalju Nomme on Aug 8, 2019
How many goals should we expect?
Kalju Nomme score 1.7 and concede 1.3 goals per match over their last 15; F91 Dudelange score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalju Nomme | 1.7 | 1.3 | 5 | 7/15 | 7/15 |
| F91 Dudelange | 2.3 | 1.1 | 4 | 11/15 | 8/15 |
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