Sparta Praha II vs Loko Vltavín: result 4-1 and analysis
3. liga - CFL AČFL A - 15Kick-off on November 17, 2019 at 09:15 AM (UTC)eFotbal aréna, Praha
Full time
What was the result of Sparta Praha II vs Loko Vltavín?
Sparta Praha II won 4-1 on November 17, 2019.
Goalscorers
- 6′L. JulišSparta Praha II
- 41′?Loko Vltavín
- 57′L. JulišSparta Praha II
- 74′D. MarečekSparta Praha II
- 85′D. MarečekSparta Praha II
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sparta Praha II have 10 wins, 2 draws and 2 defeats; Loko Vltavín have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Admira Praha(away) | 2-1 | 3. liga - CFL A |
| Nov 6, 2019 | Viktoria Plzeň II(away) | 2-0 | 3. liga - CFL A |
| Nov 3, 2019 | Rakovník(home) | 3-0 | 3. liga - CFL A |
| Oct 27, 2019 | Slavia Praha II(away) | 2-1 | 3. liga - CFL A |
| Oct 20, 2019 | Písek(home) | 1-2 | 3. liga - CFL A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Štěchovice(home) | 1-0 | 3. liga - CFL A |
| Nov 3, 2019 | Táborsko(away) | 1-6 | 3. liga - CFL A |
| Oct 26, 2019 | Motorlet Praha(home) | 2-1 | 3. liga - CFL A |
| Oct 19, 2019 | Příbram II(away) | 1-0 | 3. liga - CFL A |
| Oct 12, 2019 | Karlovy Vary(home) | 3-0 | 3. liga - CFL A |
How many goals should we expect?
Sparta Praha II score 2.2 and concede 0.8 goals per match over their last 14; Loko Vltavín score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sparta Praha II | 2.2 | 0.8 | 5 | 8/14 | 9/14 |
| Loko Vltavín | 1.7 | 1.7 | 7 | 7/15 | 9/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Loko Vltavín | 32 | 13 | 5 | 14 | 35 | 43 | 44 |
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