Viktoria Plzeň II vs Povltava FA: result 2-1 and analysis
3. liga - CFL AČFL A - 8Kick-off on October 11, 2020 at 08:30 AM (UTC)Stadion Luční ulice, Plzeň
Full time
What was the result of Viktoria Plzeň II vs Povltava FA?
Viktoria Plzeň II won 2-1 on October 11, 2020.
Goalscorers
- 20′?Viktoria Plzeň II
- 44′140182Povltava FA (pen.)
- 65′?Viktoria Plzeň II (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viktoria Plzeň II have 8 wins, 1 draw and 6 defeats; Povltava FA have 3, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Jiskra Domažlice(away) | 0-8 | 3. liga - CFL A |
| Sep 27, 2020 | Sokol Hostouň(home) | 2-0 | 3. liga - CFL A |
| Sep 19, 2020 | Loko Vltavín(away) | 2-0 | 3. liga - CFL A |
| Sep 13, 2020 | Motorlet Praha(home) | 4-4 | 3. liga - CFL A |
| Sep 6, 2020 | Admira Praha(away) | 0-3 | 3. liga - CFL A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2020 | Motorlet Praha(home) | 1-1 | 3. liga - CFL A |
| Oct 4, 2020 | Sokol Hostouň(away) | 1-2 | 3. liga - CFL A |
| Sep 20, 2020 | Příbram II(away) | 4-1 | 3. liga - CFL A |
| Sep 16, 2020 | Táborsko(home) | 0-3 | Cup |
| Sep 12, 2020 | Karlovy Vary(home) | 1-2 | 3. liga - CFL A |
How many goals should we expect?
Viktoria Plzeň II score 2.0 and concede 2.1 goals per match over their last 15; Povltava FA score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viktoria Plzeň II | 2.0 | 2.1 | 5 | 7/15 | 11/15 |
| Povltava FA | 1.8 | 1.7 | 1 | 7/9 | 8/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Viktoria Plzeň II | 32 | 18 | 7 | 7 | 75 | 53 | 61 |
A question about Viktoria Plzeň II vs Povltava FA?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy