Čáslav vs Polaban Nymburk: result 1-1 and analysis
4. liga - Divizie CRegular Season - 10Kick-off on October 13, 2019 at 12:30 PM (UTC)Stadion Pod hrádkem (Sportovní areál Vodranty), Čáslav
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What was the result of Čáslav vs Polaban Nymburk?
Čáslav and Polaban Nymburk drew 1-1 on October 13, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Čáslav have 3 wins, 3 draws and 4 defeats; Polaban Nymburk have 2, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Sparta Kutná Hora(away) | 1-1 | 4. liga - Divizie C |
| Sep 29, 2019 | Vysoké Mýto(home) | 1-2 | 4. liga - Divizie C |
| Sep 22, 2019 | Poříčany(away) | 2-0 | 4. liga - Divizie C |
| Sep 15, 2019 | Náchod(home) | 1-1 | 4. liga - Divizie C |
| Sep 7, 2019 | Ostrá(away) | 4-2 | 4. liga - Divizie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Letohrad(home) | 1-4 | 4. liga - Divizie C |
| Sep 28, 2019 | Trutnov(away) | 1-2 | 4. liga - Divizie C |
| Sep 22, 2019 | Horky nad Jizerou(home) | 4-3 | 4. liga - Divizie C |
| Sep 14, 2019 | Kolín(away) | 0-2 | 4. liga - Divizie C |
| Sep 7, 2019 | Sparta Kutná Hora(away) | 0-1 | 4. liga - Divizie C |
How many goals should we expect?
Čáslav score 1.6 and concede 1.7 goals per match over their last 10; Polaban Nymburk score 0.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Čáslav | 1.6 | 1.7 | 1 | 8/10 | 6/10 |
| Polaban Nymburk | 0.9 | 2.4 | 1 | 4/10 | 6/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Čáslav | 29 | 20 | 3 | 6 | 72 | 35 | 63 |
A question about Čáslav vs Polaban Nymburk?
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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