BSS Sporting vs Rainbow: result 1-2 and analysis
Calcutta Premier DivisionRegular Season - 8Kick-off on July 31, 2023 at 09:30 AM (UTC)
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What was the result of BSS Sporting vs Rainbow?
Rainbow won 1-2 on July 31, 2023.
What is the recent form of both teams?
Over their last 5 matches in all competitions, BSS Sporting have 0 wins, 2 draws and 3 defeats; Rainbow have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2023 | Calcutta Customs(away) | 0-2 | Calcutta Premier Division |
| Jul 24, 2023 | East Bengal(away) | 1-1 | Calcutta Premier Division |
| Jul 20, 2023 | West Bengal Police(home) | 1-1 | Calcutta Premier Division |
| Jul 14, 2023 | George Telegraph(home) | 0-1 | Calcutta Premier Division |
| Jul 4, 2023 | Wari(home) | 0-2 | Calcutta Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2023 | Police(away) | 1-0 | Calcutta Premier Division |
| Jul 17, 2023 | Eastern Railway(away) | 1-1 | Calcutta Premier Division |
| Jul 13, 2023 | East Bengal(away) | 0-0 | Calcutta Premier Division |
| Jul 1, 2023 | George Telegraph(away) | 0-1 | Calcutta Premier Division |
| Apr 1, 2023 | Tusker(home) | 2-3 | Shield Cup |
How many goals should we expect?
BSS Sporting score 0.4 and concede 1.4 goals per match over their last 5; Rainbow score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSS Sporting | 0.4 | 1.4 | 0 | 2/5 | 0/5 |
| Rainbow | 0.8 | 1.0 | 2 | 2/5 | 1/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
BSS Sporting sit 10th in Calcutta Premier Division (11 points from 8 matches) and Rainbow sit 18th (7 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | BSS Sporting | 8 | 3 | 2 | 3 | 16 | 15 | 11 |
| 18 | Rainbow | 8 | 2 | 1 | 5 | 11 | 18 | 7 |
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