Mohammedan vs NEROCA: result 0-0 and analysis
I-LeagueRegular Season - 6Kick-off on February 3, 2021 at 10:30 AM (UTC)Kalyani Stadium, Kalyani
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What was the result of Mohammedan vs NEROCA?
Mohammedan and NEROCA drew 0-0 on February 3, 2021.
Official lineup for Mohammedan vs NEROCA
The starting elevens fielded at kick-off.
Mohammedan
- 11F. Ali
- 23Sanjib Ghosh
- 36S. Rawat
- 4E. Obumneme
- 6J. Bhuyan
- 25Tirthankar Sarkar
- 47S. Faiaz
- 2A. Akhtar
- 14A. Bagui
- 20H. Mondal
- 41Shubham Roy
NEROCA
- 19S. Singsit
- 8Jiteshwor Singh
- 9J. García
- 11K. Horam
- 12B. Lupheng
- 4Longjam Singh
- 7V. Thokchom
- 27T. Singh
- 3S. Akhtar
- 23M. Sharma
- 1Bishorjit Singh
What is the recent form of both teams?
Over their last 14 matches in all competitions, Mohammedan have 8 wins, 4 draws and 2 defeats; NEROCA have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 24, 2021 | Minerva Punjab(away) | 0-0 | I-League |
| Jan 19, 2021 | TRAU(away) | 2-2 | I-League |
| Jan 14, 2021 | Churchill Brothers(home) | 0-0 | I-League |
| Jan 9, 2021 | Sudeva(away) | 1-0 | I-League |
| Oct 19, 2020 | Bengaluru United(away) | 0-0 | I-League - 2nd Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2021 | Aizawl(home) | 1-2 | I-League |
| Jan 25, 2021 | Gokulam(home) | 1-4 | I-League |
| Jan 20, 2021 | Indian Arrows(away) | 4-0 | I-League |
| Jan 15, 2021 | TRAU(home) | 1-1 | I-League |
| Mar 14, 2020 | Chennai City(home) | 2-2 | I-League |
How many goals should we expect?
Mohammedan score 1.6 and concede 0.6 goals per match over their last 14; NEROCA score 1.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohammedan | 1.6 | 0.6 | 9 | 5/14 | 7/14 |
| NEROCA | 1.8 | 2.1 | 4 | 9/15 | 11/15 |
Over the last 14 matches in all competitions.
A question about Mohammedan vs NEROCA?
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