Measurers vs Kalighat: result 0-0 and analysis
Calcutta Premier DivisionRegular Season - 15Kick-off on August 29, 2024 at 09:30 AM (UTC)
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What was the result of Measurers vs Kalighat?
Measurers and Kalighat drew 0-0 on August 29, 2024.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Measurers have 2 wins, 2 draws and 6 defeats; Kalighat have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2024 | Wari(away) | 1-2 | Calcutta Premier Division |
| Aug 10, 2024 | NA Suruchi Sangha(home) | 1-2 | Calcutta Premier Division |
| Aug 3, 2024 | Aryan(home) | 2-2 | Calcutta Premier Division |
| Jul 25, 2024 | BSS Sporting(home) | 1-1 | Calcutta Premier Division |
| Jul 19, 2024 | Diamond Harbour(home) | 1-7 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2024 | Aryan(home) | 0-0 | Calcutta Premier Division |
| 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 |
How many goals should we expect?
Measurers score 1.2 and concede 2.2 goals per match over their last 10; Kalighat score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Measurers | 1.2 | 2.2 | 0 | 8/10 | 7/10 |
| Kalighat | 1.1 | 1.0 | 7 | 5/15 | 6/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Measurers sit 15th in Calcutta Premier Division (10 points from 7 matches) and Kalighat sit 16th (10 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Measurers | 7 | 2 | 4 | 1 | 11 | 9 | 10 |
| 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