Příbram II vs Písek: result 2-2 and analysis
3. liga - CFL AČFL A - 7Kick-off on September 22, 2019 at 08:00 AM (UTC)Hřiště 2 Na Litavce, Příbram
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What was the result of Příbram II vs Písek?
Příbram II and Písek drew 2-2 on September 22, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Příbram II have 2 wins, 1 draw and 3 defeats; Písek have 4, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Sparta Praha II(away) | 0-2 | 3. liga - CFL A |
| Sep 6, 2019 | Štěchovice(home) | 4-0 | 3. liga - CFL A |
| Sep 1, 2019 | Táborsko(away) | 0-5 | 3. liga - CFL A |
| Aug 25, 2019 | Motorlet Praha(home) | 3-0 | 3. liga - CFL A |
| Aug 18, 2019 | Viktoria Plzeň II(away) | 0-1 | 3. liga - CFL A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2019 | Karlovy Vary(home) | 3-0 | 3. liga - CFL A |
| Sep 8, 2019 | Sokol Hostouň(away) | 1-0 | 3. liga - CFL A |
| Aug 31, 2019 | Benešov(home) | 1-0 | 3. liga - CFL A |
| Aug 28, 2019 | Teplice(home) | 1-3 | Cup |
| Aug 23, 2019 | Králův Dvůr(away) | 2-3 | 3. liga - CFL A |
How many goals should we expect?
Příbram II score 1.5 and concede 1.7 goals per match over their last 6; Písek score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Příbram II | 1.5 | 1.7 | 2 | 1/6 | 4/6 |
| Písek | 1.4 | 1.0 | 4 | 3/8 | 3/8 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Příbram II sit 11th in 3. liga - CFL A (40 points from 32 matches) and Písek sit 4th (52 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Písek | 32 | 15 | 7 | 10 | 50 | 38 | 52 |
| 11 | Příbram II | 32 | 12 | 4 | 16 | 45 | 56 | 40 |
A question about Příbram II vs Písek?
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