Patha Chakra vs Food Corporation: result 1-1 and analysis
Calcutta Premier DivisionRegular Season - 9Kick-off on August 3, 2023 at 09:30 AM (UTC)
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What was the result of Patha Chakra vs Food Corporation?
Patha Chakra and Food Corporation drew 1-1 on August 3, 2023.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Patha Chakra have 0 wins, 1 draw and 5 defeats; Food Corporation have 0, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2023 | Dalhousie(home) | 1-1 | Calcutta Premier Division |
| Jul 24, 2023 | Peerless(away) | 1-4 | Calcutta Premier Division |
| Jul 18, 2023 | Mohammedan(away) | 0-4 | Calcutta Premier Division |
| Jul 15, 2023 | Kalighat(away) | 1-3 | Calcutta Premier Division |
| Jul 10, 2023 | United(away) | 0-2 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2023 | Calcutta(home) | 1-1 | Calcutta Premier Division |
| Jul 25, 2023 | Tollygunge Agragami(away) | 2-2 | Calcutta Premier Division |
| Jul 22, 2023 | Southern Samity(away) | 0-1 | Calcutta Premier Division |
| Jul 15, 2023 | Diamond Harbour(away) | 0-4 | Calcutta Premier Division |
| Jun 28, 2023 | Kalighat(away) | 0-3 | Calcutta Premier Division |
How many goals should we expect?
Patha Chakra score 0.7 and concede 2.8 goals per match over their last 6; Food Corporation score 0.6 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Patha Chakra | 0.7 | 2.8 | 0 | 4/6 | 4/6 |
| Food Corporation | 0.6 | 2.2 | 0 | 2/5 | 3/5 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Patha Chakra | 11 | 3 | 1 | 7 | 12 | 32 | 10 |
A question about Patha Chakra vs Food Corporation?
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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