Viktoria Plzeň II vs Písek: result 1-0 and analysis
3. liga - CFL AČFL A - 12Kick-off on October 27, 2019 at 08:30 AM (UTC)Stadion Luční ulice, Plzeň
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What was the result of Viktoria Plzeň II vs Písek?
Viktoria Plzeň II won 1-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Viktoria Plzeň II have 4 wins, 4 draws and 2 defeats; Písek have 7, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Benešov(away) | 2-3 | 3. liga - CFL A |
| Oct 5, 2019 | Králův Dvůr(away) | 0-0 | 3. liga - CFL A |
| Sep 29, 2019 | Štěchovice(home) | 0-2 | 3. liga - CFL A |
| Sep 21, 2019 | Jiskra Domažlice(away) | 2-1 | 3. liga - CFL A |
| Sep 15, 2019 | Táborsko(home) | 1-1 | 3. liga - CFL A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Sparta Praha II(away) | 2-1 | 3. liga - CFL A |
| Oct 11, 2019 | Štěchovice(home) | 1-0 | 3. liga - CFL A |
| Oct 6, 2019 | Táborsko(away) | 0-4 | 3. liga - CFL A |
| Sep 28, 2019 | Motorlet Praha(home) | 3-0 | 3. liga - CFL A |
| Sep 22, 2019 | Příbram II(away) | 2-2 | 3. liga - CFL A |
How many goals should we expect?
Viktoria Plzeň II score 1.3 and concede 0.9 goals per match over their last 10; Písek score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viktoria Plzeň II | 1.3 | 0.9 | 5 | 4/10 | 4/10 |
| Písek | 1.5 | 1.2 | 6 | 5/13 | 7/13 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Viktoria Plzeň II sit 3rd in 3. liga - CFL A (61 points from 32 matches) and Písek sit 4th (52 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Viktoria Plzeň II | 32 | 18 | 7 | 7 | 75 | 53 | 61 |
| 4 | Písek | 32 | 15 | 7 | 10 | 50 | 38 | 52 |
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