Bhawanipore vs Police: prediction and stats
Calcutta Premier DivisionRegular Season - 14Kick-off on August 23, 2023 at 09:30 AM (UTC)Kalyani Stadium, Kalyani
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bhawanipore have 11 wins, 3 draws and 1 defeats; Police have 2, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2023 | Rainbow(away) | 1-0 | Calcutta Premier Division |
| Aug 9, 2023 | George Telegraph(away) | 1-1 | Calcutta Premier Division |
| Aug 6, 2023 | Calcutta Customs(away) | 1-0 | Calcutta Premier Division |
| Aug 3, 2023 | East Bengal(away) | 1-1 | Calcutta Premier Division |
| Jul 30, 2023 | Railway(away) | 2-1 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2023 | BSS Sporting(home) | 0-4 | Calcutta Premier Division |
| Aug 14, 2023 | East Bengal(home) | 1-2 | Calcutta Premier Division |
| Aug 3, 2023 | Eastern Railway(away) | 2-0 | Calcutta Premier Division |
| Jul 31, 2023 | Kidderpore(away) | 0-1 | Calcutta Premier Division |
| Jul 26, 2023 | George Telegraph(home) | 0-2 | Calcutta Premier Division |
How many goals should we expect?
Bhawanipore score 1.6 and concede 0.6 goals per match over their last 15; Police score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bhawanipore | 1.6 | 0.6 | 7 | 7/15 | 5/15 |
| Police | 0.7 | 1.7 | 2 | 3/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bhawanipore sit 1st in Calcutta Premier Division (21 points from 9 matches) and Police sit 2nd (17 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Bhawanipore | 9 | 6 | 3 | 0 | 16 | 5 | 21 |
| 2 | Police | 9 | 4 | 5 | 0 | 12 | 5 | 17 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy