Plzen vs Dukla Praha: result 4-0 and analysis
Czech LigaRegular Season - 30Kick-off on April 27, 2019 at 03:00 PM (UTC)Doosan Aréna, Plzeň
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What was the result of Plzen vs Dukla Praha?
Plzen won 4-0 on April 27, 2019.
Goalscorers
- 6′R. ProcházkaPlzen
- 36′J. KopicPlzen
- 40′J. KopicPlzen
- 90′Tomáš HořavaPlzen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Plzen have 10 wins, 2 draws and 3 defeats; Dukla Praha have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | Příbram(away) | 1-1 | Czech Liga |
| Apr 13, 2019 | Baník Ostrava(home) | 2-1 | Czech Liga |
| Apr 7, 2019 | Slovácko(away) | 1-0 | Czech Liga |
| Mar 31, 2019 | Bohemians 1905(home) | 3-2 | Czech Liga |
| Mar 15, 2019 | Teplice(away) | 1-2 | Czech Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2019 | Mlada Boleslav(home) | 2-2 | Czech Liga |
| Apr 14, 2019 | FK Jablonec(away) | 1-2 | Czech Liga |
| Apr 6, 2019 | Slavia Praha(home) | 1-5 | Czech Liga |
| Mar 30, 2019 | Opava(away) | 0-2 | Czech Liga |
| Mar 15, 2019 | Karviná(home) | 2-1 | Czech Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Plzen win(s), 0 draw(s), 0 Dukla Praha win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 20, 2018 | Dukla Praha 1-3 Plzen | Czech Liga |
How many goals should we expect?
Plzen score 1.5 and concede 1.2 goals per match over their last 15; Dukla Praha score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Plzen | 1.5 | 1.2 | 4 | 9/15 | 9/15 |
| Dukla Praha | 0.8 | 1.8 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Plzen | 4 | 1 | 2 | 1 | 10 | 11 | 5 |
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