Sokol Živanice vs Sokol Zápy: result 2-2 and analysis
3. liga - CFL BČFL B - 2Kick-off on August 29, 2020 at 03:00 PM (UTC)Stadion SK Náchod v Bělovsi, Živanice
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What was the result of Sokol Živanice vs Sokol Zápy?
Sokol Živanice and Sokol Zápy drew 2-2 on August 29, 2020.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Sokol Živanice have 2 wins, 1 draw and 3 defeats; Sokol Zápy have 6, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2020 | Zbuzany(home) | 1-2 | 3. liga - CFL B |
| Aug 1, 2020 | Vrchovina(away) | 0-0 | Friendlies Clubs |
| Jul 22, 2020 | Trutnov(away) | 5-0 | Friendlies Clubs |
| Jul 11, 2020 | Vysočina Jihlava II(home) | 2-1 | Friendlies Clubs |
| May 19, 2020 | Pardubice(away) | 0-3 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2020 | Dukla Praha II(home) | 3-2 | 3. liga - CFL B |
| Aug 15, 2020 | Vysoké Mýto(away) | 0-0 | Cup |
| Aug 5, 2020 | Meteor Praha(home) | 3-0 | Friendlies Clubs |
| Aug 1, 2020 | Brandýs nad Labem(home) | 2-0 | Friendlies Clubs |
| Jul 18, 2020 | Admira Praha(away) | 2-1 | Friendlies Clubs |
How many goals should we expect?
Sokol Živanice score 1.5 and concede 1.3 goals per match over their last 6; Sokol Zápy score 2.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sokol Živanice | 1.5 | 1.3 | 2 | 3/6 | 5/6 |
| Sokol Zápy | 2.1 | 0.8 | 5 | 3/8 | 5/8 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sokol Zápy | 32 | 23 | 5 | 4 | 72 | 27 | 74 |
A question about Sokol Živanice vs Sokol Zápy?
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