Teplice II vs Sokol Živanice: result 0-3 and analysis
3. liga - CFL BČFL B - 13Kick-off on October 23, 2021 at 09:00 AM (UTC)Hřiště 1. FC Dubí, Dubí
Full time
What was the result of Teplice II vs Sokol Živanice?
Sokol Živanice won 0-3 on October 23, 2021.
Goalscorers
- 23′277544Sokol Živanice
- 36′?Sokol Živanice
- 65′?Sokol Živanice
What is the recent form of both teams?
Over their last 15 matches in all competitions, Teplice II have 5 wins, 3 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 |
|---|---|---|---|
| Oct 17, 2021 | Dukla Praha II(away) | 0-3 | 3. liga - CFL B |
| Oct 9, 2021 | Sokol Brozany(home) | 3-0 | 3. liga - CFL B |
| Oct 2, 2021 | Zbuzany(away) | 0-2 | 3. liga - CFL B |
| Sep 28, 2021 | Pardubice II(home) | 3-1 | 3. liga - CFL B |
| Sep 24, 2021 | Mladá Boleslav II(away) | 2-1 | 3. liga - CFL B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Mladá Boleslav II(home) | 3-1 | 3. liga - CFL B |
| Oct 9, 2021 | Jablonec II(away) | 1-2 | 3. liga - CFL B |
| Oct 2, 2021 | Bohemians 1905 II(home) | 0-4 | 3. liga - CFL B |
| Sep 28, 2021 | Dukla Praha II(away) | 1-1 | 3. liga - CFL B |
| Sep 25, 2021 | Slovan Liberec II(away) | 0-0 | 3. liga - CFL B |
How many goals should we expect?
Teplice II score 1.4 and concede 2.1 goals per match over their last 15; Sokol Živanice score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Teplice II | 1.4 | 2.1 | 2 | 8/15 | 12/15 |
| Sokol Živanice | 1.6 | 1.5 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Teplice II | 32 | 14 | 8 | 10 | 46 | 42 | 50 |
A question about Teplice II vs Sokol Živanice?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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