Mohun Bagan vs Maziya: result 0-1 and analysis
AFC Champions League TwoGroup Stage - 5Kick-off on April 19, 2017 at 01:30 PM (UTC)Kalyani Stadium, Kalyani
Full time
What was the result of Mohun Bagan vs Maziya?
Maziya won 0-1 on April 19, 2017.
Goalscorers
- 34′Mohamed UmairMaziya
Official lineup for Mohun Bagan vs Maziya
The starting elevens fielded at kick-off.
Mohun Bagan
- 12J. Lalpekhlua
- 15B. Singh
- 6Bikramjit Singh
- 8K. Lewis
- 23S. Chakrabarti
- 2S. Golui
- 4K. Debnath
- 25B. Singh
- 26Shouvik Debkumar Ghosh
- 33P. Das
- 42S. Raj
Maziya
- 9Asadhulla Abdulla
- 10Aleksandar Rakić
- 5Mohamed Irufaan
- 12Ashadh Ali
- 21Yasfaadh Habeeb
- 37Mohamed Umair
- 3M. Kovačević
- 4Amdhan Ali
- 17Ali Samooh
- 27Gasim Samaam
- 33Pavel Matiash
What is the recent form of both teams?
Over their last 8 matches in all competitions, Mohun Bagan have 5 wins, 1 draw and 2 defeats; Maziya have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2017 | Abahani(home) | 3-1 | AFC Champions League Two |
| Mar 14, 2017 | Bengaluru(away) | 1-2 | AFC Champions League Two |
| Feb 28, 2017 | Valencia(home) | 4-1 | AFC Champions League Two |
| Feb 21, 2017 | Valencia(away) | 1-1 | AFC Champions League Two |
| Feb 7, 2017 | Colombo(home) | 2-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2017 | Bengaluru(home) | 0-1 | AFC Champions League Two |
| Mar 14, 2017 | Abahani(away) | 2-0 | AFC Champions League Two |
How many goals should we expect?
Mohun Bagan score 2.0 and concede 1.8 goals per match over their last 8; Maziya score 1.0 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohun Bagan | 2.0 | 1.8 | 0 | 7/8 | 7/8 |
| Maziya | 1.0 | 0.5 | 1 | 0/2 | 0/2 |
Over the last 8 matches in all competitions.
A question about Mohun Bagan vs Maziya?
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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