Slavia Praha vs FK Jablonec: result 0-2 and analysis
Czech LigaRegular Season - 5Kick-off on August 18, 2018 at 05:00 PM (UTC)Fortuna Arena, Praha
Full time
What was the result of Slavia Praha vs FK Jablonec?
FK Jablonec won 0-2 on August 18, 2018.
Goalscorers
- 44′M. DoležalFK Jablonec
- 77′T. HolešFK Jablonec
What is the recent form of both teams?
Over their last 15 matches in all competitions, Slavia Praha have 6 wins, 4 draws and 5 defeats; FK Jablonec have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2018 | Dynamo Kyiv(away) | 0-2 | UEFA Champions League |
| Aug 10, 2018 | Mlada Boleslav(away) | 1-0 | Czech Liga |
| Aug 7, 2018 | Dynamo Kyiv(home) | 1-1 | UEFA Champions League |
| Aug 3, 2018 | Opava(home) | 3-1 | Czech Liga |
| Jul 28, 2018 | Karviná(home) | 4-0 | Czech Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2018 | Karviná(home) | 4-1 | Czech Liga |
| Aug 4, 2018 | Zlin(away) | 1-1 | Czech Liga |
| Jul 29, 2018 | Sparta Praha(home) | 1-2 | Czech Liga |
| Jul 23, 2018 | Baník Ostrava(away) | 0-1 | Czech Liga |
| Aug 27, 2015 | Ajax(home) | 0-0 | UEFA Europa League |
How many goals should we expect?
Slavia Praha score 1.3 and concede 0.9 goals per match over their last 15; FK Jablonec score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Slavia Praha | 1.3 | 0.9 | 6 | 5/15 | 5/15 |
| FK Jablonec | 1.1 | 1.1 | 1 | 4/8 | 3/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Slavia Praha sit 1st in Czech Liga (11 points from 5 matches) and FK Jablonec sit 6th (9 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Slavia Praha | 5 | 3 | 2 | 0 | 14 | 5 | 11 |
| 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