Railway vs Tollygunge Agragami: result 3-0 and analysis
Calcutta Premier DivisionRegular Season - 7Kick-off on July 18, 2024 at 09:30 AM (UTC)
Full time
What was the result of Railway vs Tollygunge Agragami?
Railway won 3-0 on July 18, 2024.
Goalscorers
- 37′?Railway
- 56′?Railway
- 76′?Railway
What is the recent form of both teams?
Over their last 15 matches in all competitions, Railway have 3 wins, 4 draws and 8 defeats; Tollygunge Agragami have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2024 | George Telegraph(home) | 3-1 | Calcutta Premier Division |
| Jul 7, 2024 | Calcutta Police(home) | 0-1 | Calcutta Premier Division |
| Jul 3, 2024 | Rainbow(away) | 0-0 | Calcutta Premier Division |
| Jun 29, 2024 | Kalighat Club(home) | 0-3 | Calcutta Premier Division |
| Aug 29, 2023 | George Telegraph(away) | 3-2 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2024 | Bhawanipore(home) | 1-3 | Calcutta Premier Division |
| Jul 7, 2024 | Calcutta Customs(away) | 1-5 | Calcutta Premier Division |
| Jul 2, 2024 | Eastern Railway(away) | 5-0 | Calcutta Premier Division |
| Jun 30, 2024 | East Bengal(away) | 1-7 | Calcutta Premier Division |
| Aug 30, 2023 | Kalighat(home) | 0-2 | Calcutta Premier Division |
How many goals should we expect?
Railway score 0.9 and concede 1.7 goals per match over their last 15; Tollygunge Agragami score 1.1 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Railway | 0.9 | 1.7 | 2 | 7/15 | 6/15 |
| Tollygunge Agragami | 1.1 | 2.9 | 2 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Railway | 9 | 3 | 2 | 4 | 14 | 15 | 11 |
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