Match

Food Corporation vs Patha Chakra: result 2-4 and analysis

Calcutta Premier DivisionRelegation Round - 2Kick-off on November 4, 2023 at 12:00 AM (UTC)

Food Corporation
2-4
Patha Chakra

Full time

What was the result of Food Corporation vs Patha Chakra?

Patha Chakra won 2-4 on November 4, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Food Corporation have 3 wins, 4 draws and 8 defeats; Patha Chakra have 3, 5 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Food Corporation
DateOpponentScoreCompetition
Oct 15, 2023Calcutta(away)1-0Calcutta Premier Division
Oct 12, 2023Eastern Railway(away)0-0Calcutta Premier Division
Oct 9, 2023West Bengal Police(home)3-2Calcutta Premier Division
Aug 28, 2023United(home)1-5Calcutta Premier Division
Aug 24, 2023Peerless(home)0-5Calcutta Premier Division
Patha Chakra
DateOpponentScoreCompetition
Oct 15, 2023Dalhousie(home)0-0Calcutta Premier Division
Oct 12, 2023George Telegraph(away)3-2Calcutta Premier Division
Oct 9, 2023Police(away)5-0Calcutta Premier Division
Aug 30, 2023Southern Samity(away)4-1Calcutta Premier Division
Aug 21, 2023Calcutta(home)1-1Calcutta Premier Division

What does the head-to-head say?

In the last meeting: 0 Food Corporation wins, 1 draw, 0 Patha Chakra wins.

DateScoreCompetition
Aug 3, 2023Patha Chakra 1-1 Food CorporationCalcutta Premier Division

Last archived meeting: Patha Chakra vs Food Corporation on Aug 3, 2023

How many goals should we expect?

Food Corporation score 0.8 and concede 2.3 goals per match over their last 15; Patha Chakra score 1.4 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Food Corporation0.82.327/159/15
Patha Chakra1.42.0211/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
18Patha Chakra11317123210

A question about Food Corporation vs Patha Chakra?

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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

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