Kalighat vs Aryan: result 0-0 and analysis
Calcutta Premier DivisionRegular Season - 15Kick-off on August 26, 2024 at 09:30 AM (UTC)
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What was the result of Kalighat vs Aryan?
Kalighat and Aryan drew 0-0 on August 26, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalighat have 6 wins, 3 draws and 6 defeats; Aryan have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2024 | BSS Sporting(home) | 1-0 | Calcutta Premier Division |
| Aug 18, 2024 | Diamond Harbour(away) | 0-3 | Calcutta Premier Division |
| Aug 13, 2024 | Patha Chakra(home) | 1-2 | Calcutta Premier Division |
| Aug 4, 2024 | United(away) | 0-2 | Calcutta Premier Division |
| Jul 24, 2024 | Southern Samity(home) | 0-1 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2024 | Kidderpore(away) | 2-1 | Calcutta Premier Division |
| Aug 19, 2024 | Mohammedan(away) | 1-4 | Calcutta Premier Division |
| Aug 13, 2024 | Wari(away) | 1-2 | Calcutta Premier Division |
| Aug 3, 2024 | Measurers(away) | 2-2 | Calcutta Premier Division |
| Jul 24, 2024 | NA Suruchi Sangha(away) | 0-1 | Calcutta Premier Division |
How many goals should we expect?
Kalighat score 1.1 and concede 1.0 goals per match over their last 15; Aryan score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalighat | 1.1 | 1.0 | 7 | 5/15 | 6/15 |
| Aryan | 1.4 | 1.3 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kalighat sit 16th in Calcutta Premier Division (10 points from 9 matches) and Aryan sit 10th (13 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Aryan | 9 | 3 | 4 | 2 | 13 | 5 | 13 |
| 16 | Kalighat | 9 | 3 | 1 | 5 | 14 | 13 | 10 |
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