Artis vs Dukla Praha: result 3-0 and analysis
FNLRegular Season - 18Kick-off on April 14, 2021 at 02:30 PM (UTC)Stadion SK Líšeň, Brno
Full time
What was the result of Artis vs Dukla Praha?
Artis won 3-0 on April 14, 2021.
Goalscorers
- 9′J. KučeraArtis
- 28′J. SilnýArtis
- 60′J. KučeraArtis
What is the recent form of both teams?
Over their last 15 matches in all competitions, Artis have 6 wins, 6 draws and 3 defeats; Dukla Praha 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 |
|---|---|---|---|
| Apr 11, 2021 | Vlašim(away) | 1-2 | FNL |
| Apr 5, 2021 | Vysočina Jihlava(home) | 2-0 | FNL |
| Mar 28, 2021 | Varnsdorf(away) | 1-1 | FNL |
| Mar 13, 2021 | Blansko(away) | 0-0 | FNL |
| Mar 6, 2021 | Hradec Králové(home) | 2-1 | FNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2021 | Varnsdorf(home) | 1-2 | FNL |
| Apr 7, 2021 | Prostějov(away) | 0-1 | FNL |
| Apr 3, 2021 | Třinec(away) | 2-2 | FNL |
| Mar 8, 2021 | Ústí nad Labem(home) | 5-0 | FNL |
| Jan 19, 2021 | Slavia Praha(away) | 1-4 | Cup |
What does the head-to-head say?
Across the last 3 meetings: 0 Artis win(s), 1 draw(s), 2 Dukla Praha win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 3, 2020 | Dukla Praha 2-2 Artis | FNL |
| Jul 4, 2020 | Artis 2-3 Dukla Praha | FNL |
| Nov 2, 2019 | Dukla Praha 4-2 Artis | FNL |
How many goals should we expect?
Artis score 1.3 and concede 1.1 goals per match over their last 15; Dukla Praha score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Artis | 1.3 | 1.1 | 6 | 8/15 | 7/15 |
| Dukla Praha | 1.7 | 1.4 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Artis | 30 | 15 | 7 | 8 | 50 | 37 | 52 |
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