Minerva Punjab vs Sudeva: result 0-0 and analysis
I-LeagueRegular Season - 5Kick-off on January 29, 2021 at 08:30 AM (UTC)Jawaharlal Nehru Stadium, New Delhi
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What was the result of Minerva Punjab vs Sudeva?
Minerva Punjab and Sudeva drew 0-0 on January 29, 2021.
Official lineup for Minerva Punjab vs Sudeva
The starting elevens fielded at kick-off.
Minerva Punjab
- 7C. Gyeltshen
- 29A. Singh
- 6Bikramjit Singh
- 12R. Nongrum
- 17Telem Singh
- 20H. Ruivah
- 3Saurabh Bhanwala
- 8S. Das
- 10Joseba Beitia
- 27A. Sangwan
- 16K. Chemjong
Sudeva
- 12S. Kharpan
- 21Naocha Singh Ngangbam
- 8K. Lewis
- 16W. Neihsial
- 28T. Singh
- 33M. Naorem
- 4L. Renthlei
- 5G. Gill
- 13A. Singh
- 19S. Kima
- 40R. Dagar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Minerva Punjab have 4 wins, 7 draws and 4 defeats; Sudeva have 1, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 24, 2021 | Mohammedan(home) | 0-0 | I-League |
| Jan 19, 2021 | Churchill Brothers(home) | 0-1 | I-League |
| Jan 14, 2021 | Gokulam(away) | 3-4 | I-League |
| Jan 9, 2021 | Aizawl(home) | 1-0 | I-League |
| Mar 10, 2020 | NEROCA(away) | 3-4 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 25, 2021 | Churchill Brothers(away) | 0-2 | I-League |
| Jan 19, 2021 | Real Kashmir(away) | 1-1 | I-League |
| Jan 14, 2021 | Indian Arrows(home) | 3-0 | I-League |
| Jan 9, 2021 | Mohammedan(home) | 0-1 | I-League |
How many goals should we expect?
Minerva Punjab score 1.3 and concede 1.2 goals per match over their last 15; Sudeva score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Minerva Punjab | 1.3 | 1.2 | 4 | 9/15 | 4/15 |
| Sudeva | 1.0 | 1.0 | 1 | 1/4 | 1/4 |
Over the last 15 matches in all competitions.
A question about Minerva Punjab vs Sudeva?
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