Army Red vs Kalighat: result 1-0 and analysis
Calcutta Premier DivisionRegular Season - 8Kick-off on July 30, 2023 at 09:30 AM (UTC)
Full time
What was the result of Army Red vs Kalighat?
Army Red won 1-0 on July 30, 2023.
Goalscorers
- 46′?Army Red
What is the recent form of both teams?
Over their last 4 matches in all competitions, Army Red have 1 win, 3 draws and 0 defeats; Kalighat have 2, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2023 | Southern Samity(home) | 3-2 | Calcutta Premier Division |
| Jul 19, 2023 | Dalhousie(away) | 0-0 | Calcutta Premier Division |
| Jul 15, 2023 | Peerless(away) | 1-1 | Calcutta Premier Division |
| Jul 12, 2023 | Diamond Harbour(away) | 1-1 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2023 | ATK Mohun Bagan(away) | 1-1 | Calcutta Premier Division |
| Jul 22, 2023 | United(home) | 0-0 | Calcutta Premier Division |
| Jul 15, 2023 | Patha Chakra(home) | 3-1 | Calcutta Premier Division |
| Jul 12, 2023 | Peerless(away) | 1-1 | Calcutta Premier Division |
| Jun 28, 2023 | Food Corporation(home) | 3-0 | Calcutta Premier Division |
How many goals should we expect?
Army Red score 1.3 and concede 1.0 goals per match over their last 4; Kalighat score 1.6 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Army Red | 1.3 | 1.0 | 1 | 3/4 | 1/4 |
| Kalighat | 1.6 | 0.6 | 2 | 3/5 | 2/5 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kalighat | 11 | 4 | 2 | 5 | 18 | 13 | 14 |
A question about Army Red vs Kalighat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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