Mohun Bagan vs Minerva Punjab: result 1-0 and analysis
I-LeagueRegular Season - 12Kick-off on February 9, 2020 at 11:30 AM (UTC)Kalyani Stadium, Kalyani
Full time
What was the result of Mohun Bagan vs Minerva Punjab?
Mohun Bagan won 1-0 on February 9, 2020.
Goalscorers
- 42′Papa Babacar DiawaraMohun Bagan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mohun Bagan have 9 wins, 3 draws and 3 defeats; Minerva Punjab have 4, 9 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2020 | Chennai City(away) | 3-2 | I-League |
| Jan 23, 2020 | NEROCA(away) | 3-0 | I-League |
| Jan 19, 2020 | East Bengal(home) | 2-1 | I-League |
| Jan 14, 2020 | Minerva Punjab(away) | 1-1 | I-League |
| Jan 9, 2020 | Indian Arrows(home) | 1-0 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 29, 2020 | NEROCA(home) | 3-2 | I-League |
| Jan 20, 2020 | Gokulam(home) | 3-1 | I-League |
| Jan 14, 2020 | Mohun Bagan(home) | 1-1 | I-League |
| Jan 10, 2020 | Real Kashmir(away) | 1-1 | I-League |
| Jan 4, 2020 | TRAU(away) | 0-0 | I-League |
What does the head-to-head say?
Across the last 3 meetings: 2 Mohun Bagan win(s), 1 draw(s), 0 Minerva Punjab win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 14, 2020 | Minerva Punjab 1-1 Mohun Bagan | I-League |
| Jan 9, 2019 | Mohun Bagan 2-0 Minerva Punjab | I-League |
| Dec 19, 2018 | Minerva Punjab 0-1 Mohun Bagan | I-League |
Last archived meeting: Minerva Punjab vs Mohun Bagan on Jan 14, 2020
How many goals should we expect?
Mohun Bagan score 1.9 and concede 1.3 goals per match over their last 15; Minerva Punjab score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohun Bagan | 1.9 | 1.3 | 5 | 10/15 | 10/15 |
| Minerva Punjab | 1.5 | 1.3 | 2 | 11/15 | 7/15 |
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