Dukla Praha vs FK Jablonec: result 2-6 and analysis
Czech LigaRegular Season - 14Kick-off on November 3, 2018 at 04:00 PM (UTC)Stadion Juliska, Praha
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What was the result of Dukla Praha vs FK Jablonec?
FK Jablonec won 2-6 on November 3, 2018.
Goalscorers
- 10′L. MasopustFK Jablonec
- 14′M. DoležalFK Jablonec
- 21′M. TrávníkFK Jablonec (pen.)
- 54′Alejandro Rafael Acosta CabreraFK Jablonec
- 59′U. ĐuranovićDukla Praha
- 65′D. HovorkaFK Jablonec
- 75′Jakub PodanýDukla Praha
- 86′M. KratochvílFK Jablonec
What is the recent form of both teams?
Over their last 13 matches in all competitions, Dukla Praha have 3 wins, 1 draws and 9 defeats; FK Jablonec have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2018 | Slavia Praha(away) | 1-4 | Czech Liga |
| Oct 21, 2018 | Opava(home) | 1-0 | Czech Liga |
| Oct 7, 2018 | Karviná(away) | 2-0 | Czech Liga |
| Sep 29, 2018 | Zlin(home) | 1-1 | Czech Liga |
| Sep 22, 2018 | Sigma Olomouc(away) | 0-1 | Czech Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2018 | Slovan Liberec(home) | 0-0 | Czech Liga |
| Oct 25, 2018 | FC Astana(home) | 1-1 | UEFA Europa League |
| Oct 20, 2018 | Příbram(away) | 6-0 | Czech Liga |
| Oct 7, 2018 | Slovácko(home) | 2-0 | Czech Liga |
| Oct 4, 2018 | Dynamo Kyiv(home) | 2-2 | UEFA Europa League |
How many goals should we expect?
Dukla Praha score 0.8 and concede 1.9 goals per match over their last 13; FK Jablonec score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dukla Praha | 0.8 | 1.9 | 3 | 5/13 | 5/13 |
| FK Jablonec | 1.9 | 1.0 | 6 | 7/15 | 9/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | FK Jablonec | 3 | 3 | 0 | 0 | 5 | 1 | 9 |
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