Králův Dvůr vs Viktoria Plzeň II: result 0-0 and analysis
3. liga - CFL AČFL A - 9Kick-off on October 5, 2019 at 08:30 AM (UTC)Městský Stadion Králův Dvůr, Králuv Dvůr
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What was the result of Králův Dvůr vs Viktoria Plzeň II?
Králův Dvůr and Viktoria Plzeň II drew 0-0 on October 5, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Králův Dvůr have 6 wins, 0 draws and 4 defeats; Viktoria Plzeň II have 4, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Jiskra Domažlice(away) | 2-4 | 3. liga - CFL A |
| Sep 20, 2019 | Loko Vltavín(home) | 2-0 | 3. liga - CFL A |
| Sep 15, 2019 | Admira Praha(away) | 0-1 | 3. liga - CFL A |
| Sep 6, 2019 | Rakovník(home) | 3-1 | 3. liga - CFL A |
| Sep 1, 2019 | Slavia Praha II(away) | 1-0 | 3. liga - CFL A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 7, 2019 | Loko Vltavín(away) | 4-2 | 3. liga - CFL A |
| Sep 1, 2019 | Motorlet Praha(home) | 0-0 | 3. liga - CFL A |
How many goals should we expect?
Králův Dvůr score 1.7 and concede 1.7 goals per match over their last 10; Viktoria Plzeň II score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Králův Dvůr | 1.7 | 1.7 | 2 | 6/10 | 6/10 |
| Viktoria Plzeň II | 1.4 | 0.8 | 4 | 3/8 | 3/8 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Králův Dvůr sit 5th in 3. liga - CFL A (49 points from 32 matches) and Viktoria Plzeň II sit 3rd (61 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Viktoria Plzeň II | 32 | 18 | 7 | 7 | 75 | 53 | 61 |
| 5 | Králův Dvůr | 32 | 15 | 4 | 13 | 59 | 56 | 49 |
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