FK Jablonec vs Sigma Olomouc: result 3-0 and analysis
Czech LigaRegular Season - 6Kick-off on August 26, 2018 at 04:00 PM (UTC)Stadion Střelnice, Jablonec nad Nisou
Full time
What was the result of FK Jablonec vs Sigma Olomouc?
FK Jablonec won 3-0 on August 26, 2018.
Goalscorers
- 57′M. DoležalFK Jablonec
- 62′M. DoležalFK Jablonec
- 89′M. TrávníkFK Jablonec
What is the recent form of both teams?
Over their last 9 matches in all competitions, FK Jablonec have 3 wins, 2 draws and 4 defeats; Sigma Olomouc have 3, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | Slavia Praha(away) | 2-0 | Czech Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2018 | Sevilla(home) | 0-1 | UEFA Europa League |
| Aug 20, 2018 | Baník Ostrava(home) | 1-4 | Czech Liga |
| Aug 16, 2018 | Kairat Almaty(away) | 2-1 | UEFA Europa League |
| Aug 12, 2018 | Slovácko(away) | 1-3 | Czech Liga |
| Aug 9, 2018 | Kairat Almaty(home) | 2-0 | UEFA Europa League |
How many goals should we expect?
FK Jablonec score 1.2 and concede 1.0 goals per match over their last 9; Sigma Olomouc score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Jablonec | 1.2 | 1.0 | 2 | 4/9 | 3/9 |
| Sigma Olomouc | 1.3 | 1.6 | 2 | 3/8 | 5/8 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
FK Jablonec sit 6th in Czech Liga (9 points from 3 matches) and Sigma Olomouc sit 3rd (10 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sigma Olomouc | 5 | 3 | 1 | 1 | 10 | 7 | 10 |
| 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