Sigma Olomouc vs Sparta Praha: result 1-0 and analysis
Czech LigaRegular Season - 11Kick-off on October 6, 2018 at 05:00 PM (UTC)Andrův stadion, Olomouc
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What was the result of Sigma Olomouc vs Sparta Praha?
Sigma Olomouc won 1-0 on October 6, 2018.
Goalscorers
- 35′Martin NešporSigma Olomouc
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sigma Olomouc have 4 wins, 0 draws and 10 defeats; Sparta Praha have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Slovan Liberec(away) | 0-3 | Czech Liga |
| Sep 22, 2018 | Dukla Praha(home) | 1-0 | Czech Liga |
| Sep 15, 2018 | Příbram(away) | 0-1 | Czech Liga |
| Sep 2, 2018 | Bohemians 1905(home) | 2-3 | Czech Liga |
| Aug 30, 2018 | Sevilla(away) | 0-3 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2018 | Plzen(away) | 0-1 | Czech Liga |
| Sep 22, 2018 | Slovan Liberec(home) | 4-1 | Czech Liga |
| Sep 17, 2018 | Baník Ostrava(away) | 1-0 | Czech Liga |
| Aug 31, 2018 | Dukla Praha(home) | 2-0 | Czech Liga |
| Aug 24, 2018 | Bohemians 1905(away) | 1-1 | Czech Liga |
How many goals should we expect?
Sigma Olomouc score 0.9 and concede 1.9 goals per match over their last 14; Sparta Praha score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sigma Olomouc | 0.9 | 1.9 | 3 | 4/14 | 9/14 |
| Sparta Praha | 1.5 | 0.9 | 5 | 6/15 | 5/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Sigma Olomouc sit 3rd in Czech Liga (10 points from 5 matches) and Sparta Praha sit 5th (9 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sigma Olomouc | 5 | 3 | 1 | 1 | 10 | 7 | 10 |
| 5 | Sparta Praha | 5 | 3 | 0 | 2 | 12 | 7 | 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