Dukla Praha II vs Sokol Živanice: result 1-1 and analysis
3. liga - CFL BČFL B - 15Kick-off on September 28, 2021 at 08:15 AM (UTC)Sportovní centrum Radotín, Praha
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What was the result of Dukla Praha II vs Sokol Živanice?
Dukla Praha II and Sokol Živanice drew 1-1 on September 28, 2021.
Goalscorers
- 14′?Dukla Praha II
- 18′D. PetrusSokol Živanice
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dukla Praha II have 6 wins, 2 draws and 7 defeats; Sokol Živanice have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Bohemians 1905 II(away) | 3-2 | 3. liga - CFL B |
| Sep 19, 2021 | Slovan Liberec II(home) | 0-0 | 3. liga - CFL B |
| Sep 11, 2021 | Slovan Velvary(away) | 3-3 | 3. liga - CFL B |
| Sep 5, 2021 | Ústí nad Orlicí(home) | 6-0 | 3. liga - CFL B |
| Aug 29, 2021 | Chlumec nad Cidlinou(away) | 2-1 | 3. liga - CFL B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Slovan Liberec II(away) | 0-0 | 3. liga - CFL B |
| Sep 18, 2021 | Slovan Velvary(home) | 3-1 | 3. liga - CFL B |
| Sep 11, 2021 | Ústí nad Orlicí(away) | 2-1 | 3. liga - CFL B |
| Sep 4, 2021 | Chlumec nad Cidlinou(home) | 1-2 | 3. liga - CFL B |
| Aug 29, 2021 | Hradec Králové II(away) | 0-5 | 3. liga - CFL B |
How many goals should we expect?
Dukla Praha II score 1.8 and concede 2.3 goals per match over their last 15; Sokol Živanice score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dukla Praha II | 1.8 | 2.3 | 2 | 10/15 | 12/15 |
| Sokol Živanice | 1.7 | 1.5 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Dukla Praha II | 32 | 11 | 5 | 16 | 48 | 57 | 38 |
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