Calcutta vs Police: result 1-1 and analysis
Calcutta Premier DivisionRelegation Round - 1Kick-off on October 12, 2023 at 08:00 AM (UTC)
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What was the result of Calcutta vs Police?
Calcutta and Police drew 1-1 on October 12, 2023.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Calcutta have 1 win, 4 draws and 8 defeats; Police have 3, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2023 | Dalhousie(home) | 1-2 | Calcutta Premier Division |
| Sep 2, 2023 | Army Red(home) | 0-4 | Calcutta Premier Division |
| Aug 24, 2023 | Southern Samity(home) | 2-2 | Calcutta Premier Division |
| Aug 21, 2023 | Patha Chakra(away) | 1-1 | Calcutta Premier Division |
| Aug 11, 2023 | Kalighat(home) | 0-5 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2023 | Patha Chakra(home) | 0-5 | Calcutta Premier Division |
| Sep 4, 2023 | Calcutta Customs(home) | 4-0 | Calcutta Premier Division |
| Aug 31, 2023 | Bhawanipore(away) | 0-6 | Calcutta Premier Division |
| Aug 28, 2023 | Wari(home) | 0-1 | Calcutta Premier Division |
| Aug 19, 2023 | BSS Sporting(home) | 0-4 | Calcutta Premier Division |
How many goals should we expect?
Calcutta score 0.7 and concede 3.1 goals per match over their last 13; Police score 0.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Calcutta | 0.7 | 3.1 | 0 | 7/13 | 8/13 |
| Police | 0.8 | 2.1 | 3 | 3/13 | 7/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Police | 11 | 4 | 5 | 2 | 13 | 11 | 17 |
A question about Calcutta vs Police?
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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