Dalhousie vs Kalighat: result 1-2 and analysis
Calcutta Premier DivisionRegular Season - 8Kick-off on August 2, 2023 at 09:30 AM (UTC)
Full time
What was the result of Dalhousie vs Kalighat?
Kalighat won 1-2 on August 2, 2023.
Goalscorers
- 2′?Kalighat
- 47′?Dalhousie
- 59′?Kalighat
What is the recent form of both teams?
Over their last 5 matches in all competitions, Dalhousie have 0 wins, 4 draws and 1 defeat; Kalighat have 2, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2023 | Patha Chakra(away) | 1-1 | Calcutta Premier Division |
| Jul 19, 2023 | Army Red(home) | 0-0 | Calcutta Premier Division |
| Jul 16, 2023 | ATK Mohun Bagan(home) | 2-5 | Calcutta Premier Division |
| Jul 12, 2023 | Southern Samity(away) | 1-1 | Calcutta Premier Division |
| Jun 28, 2023 | Tollygunge Agragami(home) | 0-0 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2023 | Army Red(away) | 0-1 | Calcutta Premier Division |
| 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 |
How many goals should we expect?
Dalhousie score 0.8 and concede 1.4 goals per match over their last 5; Kalighat score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalhousie | 0.8 | 1.4 | 2 | 3/5 | 1/5 |
| Kalighat | 1.3 | 0.7 | 2 | 3/6 | 2/6 |
Over the last 5 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 Dalhousie vs Kalighat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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