Mohun Bagan vs Minerva Punjab: result 2-0 and analysis
I-LeagueRegular Season - 17Kick-off on January 9, 2019 at 08:30 AM (UTC)Kalyani Stadium, Kalyani
Full time
What was the result of Mohun Bagan vs Minerva Punjab?
Mohun Bagan won 2-0 on January 9, 2019.
Goalscorers
- 30′Omar Nabil Rashad El HusseinyMohun Bagan (pen.)
- 69′A. DipandaMohun Bagan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mohun Bagan have 6 wins, 4 draws and 5 defeats; Minerva Punjab have 3, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2019 | Real Kashmir(home) | 1-2 | I-League |
| Dec 28, 2018 | NEROCA(away) | 1-2 | I-League |
| Dec 23, 2018 | Shillong Lajong(home) | 2-0 | I-League |
| Dec 19, 2018 | Minerva Punjab(away) | 1-0 | I-League |
| Dec 16, 2018 | East Bengal(away) | 2-3 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2019 | Churchill Brothers(away) | 0-2 | I-League |
| Dec 23, 2018 | NEROCA(away) | 0-0 | I-League |
| Dec 19, 2018 | Mohun Bagan(home) | 0-1 | I-League |
| Dec 16, 2018 | Chennai City(home) | 0-0 | I-League |
| Dec 4, 2018 | East Bengal(away) | 1-0 | I-League |
What does the head-to-head say?
Across the last 1 meetings: 1 Mohun Bagan win(s), 0 draw(s), 0 Minerva Punjab win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2018 | Minerva Punjab 0-1 Mohun Bagan | I-League |
Last archived meeting: Minerva Punjab vs Mohun Bagan on Dec 19, 2018
How many goals should we expect?
Mohun Bagan score 1.5 and concede 1.4 goals per match over their last 15; Minerva Punjab score 0.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohun Bagan | 1.5 | 1.4 | 4 | 10/15 | 8/15 |
| Minerva Punjab | 0.5 | 0.7 | 6 | 2/12 | 2/12 |
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