Mohammedan vs NEROCA: result 3-1 and analysis
I-LeagueRegular Season - 3Kick-off on November 23, 2022 at 01:30 PM (UTC)Kishore Bharati Krirangan, Kolkata
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What was the result of Mohammedan vs NEROCA?
Mohammedan won 3-1 on November 23, 2022.
Goalscorers
- 40′D. SimboMohammedan (o.g.)
- 58′M. KosimovNEROCA
- 82′M. JosephMohammedan (pen.)
- 85′F. MethukayilMohammedan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mohammedan have 7 wins, 4 draws and 4 defeats; NEROCA have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Minerva Punjab(away) | 0-1 | I-League |
| Nov 12, 2022 | Gokulam(away) | 0-1 | I-League |
| May 14, 2022 | Gokulam(away) | 1-2 | I-League |
| May 10, 2022 | Rajasthan United(away) | 2-0 | I-League |
| May 6, 2022 | Churchill Brothers(home) | 2-0 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2022 | Sudeva(home) | 1-0 | I-League |
| Nov 13, 2022 | Real Kashmir(home) | 0-1 | I-League |
| May 13, 2022 | Minerva Punjab(away) | 3-3 | I-League |
| May 9, 2022 | Churchill Brothers(home) | 1-3 | I-League |
| May 3, 2022 | Gokulam(away) | 0-4 | I-League |
What does the head-to-head say?
Across the last 3 meetings: 1 Mohammedan win(s), 2 draw(s), 0 NEROCA win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2022 | Mohammedan 2-0 NEROCA | I-League |
| Apr 18, 2022 | NEROCA 1-1 Mohammedan | I-League |
| Feb 3, 2021 | Mohammedan 0-0 NEROCA | I-League |
How many goals should we expect?
Mohammedan score 1.5 and concede 1.1 goals per match over their last 15; NEROCA score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohammedan | 1.5 | 1.1 | 4 | 9/15 | 7/15 |
| NEROCA | 0.9 | 1.7 | 3 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
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