Police vs Army XI: result 0-1 and analysis
Calcutta Premier DivisionRelegation Round - 2Kick-off on September 24, 2024 at 12:00 AM (UTC)
Full time
What was the result of Police vs Army XI?
Army XI won 0-1 on September 24, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Police have 3 wins, 5 draws and 7 defeats; Army XI have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2024 | Eastern Railway(away) | 1-0 | Calcutta Premier Division |
| Sep 11, 2024 | Kalighat(away) | 0-0 | Calcutta Premier Division |
| Sep 8, 2024 | Mohun Bagan(away) | 3-2 | Calcutta Premier Division |
| Aug 20, 2024 | Railway(home) | 1-2 | Calcutta Premier Division |
| Aug 17, 2024 | Calcutta Customs(home) | 1-1 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2024 | Kalighat(home) | 0-0 | Calcutta Premier Division |
| Sep 18, 2024 | Wari(home) | 1-0 | Calcutta Premier Division |
| Sep 11, 2024 | Eastern Railway(away) | 3-1 | Calcutta Premier Division |
| Sep 1, 2024 | NA Suruchi Sangha(away) | 0-3 | Calcutta Premier Division |
| Aug 26, 2024 | BSS Sporting(away) | 5-0 | Calcutta Premier Division |
How many goals should we expect?
Police score 0.9 and concede 1.8 goals per match over their last 15; Army XI score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Police | 0.9 | 1.8 | 4 | 5/15 | 7/15 |
| Army XI | 1.1 | 1.7 | 5 | 5/15 | 8/15 |
Over the last 15 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 Police vs Army XI?
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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