Sparta Praha II vs Vlašim: result 2-3 and analysis
FNLRegular Season - 9Kick-off on September 26, 2021 at 08:30 AM (UTC)Stadion Evžena Rošického, Praha
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What was the result of Sparta Praha II vs Vlašim?
Vlašim won 2-3 on September 26, 2021.
Goalscorers
- 21′F. BlechaVlašim
- 27′D. AlijagićVlašim
- 31′D. AlijagićVlašim
- 61′M. KozákSparta Praha II
- 90′M. KozákSparta Praha II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sparta Praha II have 9 wins, 1 draws and 5 defeats; Vlašim have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Vyškov(away) | 3-2 | FNL |
| Sep 12, 2021 | Ústí nad Labem(home) | 1-0 | FNL |
| Aug 29, 2021 | Táborsko(home) | 4-1 | FNL |
| Aug 21, 2021 | Příbram(away) | 2-0 | FNL |
| Aug 15, 2021 | Viktoria Žižkov(home) | 0-3 | FNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2021 | Sigma Olomouc(home) | 1-2 | Cup |
| Sep 17, 2021 | Prostějov(home) | 0-1 | FNL |
| Sep 12, 2021 | Varnsdorf(away) | 1-3 | FNL |
| Sep 3, 2021 | Pardubice(away) | 1-2 | Friendlies Clubs |
| Aug 29, 2021 | Viktoria Žižkov(home) | 3-0 | FNL |
How many goals should we expect?
Sparta Praha II score 1.9 and concede 1.3 goals per match over their last 15; Vlašim score 2.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sparta Praha II | 1.9 | 1.3 | 5 | 7/15 | 9/15 |
| Vlašim | 2.9 | 1.4 | 4 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sparta Praha II sit 16th in FNL (25 points from 30 matches) and Vlašim sit 10th (38 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Vlašim | 30 | 10 | 8 | 12 | 41 | 34 | 38 |
| 16 | Sparta Praha II | 30 | 7 | 4 | 19 | 27 | 54 | 25 |
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