Sudeva vs NEROCA: result 0-2 and analysis
I-LeagueRegular Season - 9Kick-off on February 19, 2021 at 08:30 AM (UTC)Kishore Bharati Krirangan, Kolkata
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What was the result of Sudeva vs NEROCA?
NEROCA won 0-2 on February 19, 2021.
Goalscorers
- 45′J. GarcíaNEROCA
- 72′S. SingsitNEROCA
Official lineup for Sudeva vs NEROCA
The starting elevens fielded at kick-off.
Sudeva
- 10S. Paul
- 12S. Kharpan
- 8K. Lewis
- 16W. Neihsial
- 28T. Singh
- 33M. Naorem
- 4L. Renthlei
- 5G. Gill
- 13A. Singh
- 19S. Kima
- 40R. Dagar
NEROCA
- 21Singam Subhash Singh
- 44Ajay Singh
- 8Jiteshwor Singh
- 9J. García
- 10N. García
- 17K. Lhungdim
- 5V. Kallon
- 27T. Singh
- 23M. Sharma
- 26Wangkhei Mayum Olen Singh
- 1Bishorjit Singh
What is the recent form of both teams?
Over their last 7 matches in all competitions, Sudeva have 2 wins, 3 draws and 2 defeats; NEROCA have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2021 | Aizawl(away) | 1-1 | I-League |
| Feb 3, 2021 | Chennai City(away) | 4-0 | I-League |
| Jan 29, 2021 | Minerva Punjab(away) | 0-0 | I-League |
| Jan 25, 2021 | Churchill Brothers(away) | 0-2 | I-League |
| Jan 19, 2021 | Real Kashmir(away) | 1-1 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2021 | Real Kashmir(away) | 3-4 | I-League |
| Feb 9, 2021 | Chennai City(home) | 1-2 | I-League |
| Feb 3, 2021 | Mohammedan(away) | 0-0 | I-League |
| Jan 30, 2021 | Aizawl(home) | 1-2 | I-League |
| Jan 25, 2021 | Gokulam(home) | 1-4 | I-League |
How many goals should we expect?
Sudeva score 1.3 and concede 0.7 goals per match over their last 7; NEROCA score 1.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sudeva | 1.3 | 0.7 | 3 | 2/7 | 2/7 |
| NEROCA | 1.9 | 2.1 | 4 | 10/15 | 11/15 |
Over the last 7 matches in all competitions.
A question about Sudeva vs NEROCA?
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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