Mohun Bagan vs Indian Arrows: result 1-3 and analysis
I-LeagueRegular Season - 21Kick-off on February 28, 2019 at 11:30 AM (UTC)Kalyani Stadium, Kalyani
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What was the result of Mohun Bagan vs Indian Arrows?
Indian Arrows won 1-3 on February 28, 2019.
Goalscorers
- 17′A. MallickMohun Bagan
- 28′A. SarkarIndian Arrows
- 74′R. Kannoly PraveenIndian Arrows
- 90′R. DanuIndian Arrows
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mohun Bagan have 6 wins, 3 draws and 6 defeats; Indian Arrows have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2019 | Chennai City(away) | 1-3 | I-League |
| Feb 16, 2019 | Aizawl(away) | 2-1 | I-League |
| Feb 9, 2019 | Churchill Brothers(away) | 1-1 | I-League |
| Jan 30, 2019 | Gokulam(home) | 2-2 | I-League |
| Jan 27, 2019 | East Bengal(home) | 0-2 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2019 | Real Kashmir(home) | 2-2 | I-League |
| Feb 16, 2019 | Gokulam(away) | 1-1 | I-League |
| Feb 8, 2019 | Chennai City(home) | 0-2 | I-League |
| Feb 5, 2019 | Minerva Punjab(home) | 2-1 | I-League |
| Feb 1, 2019 | NEROCA(home) | 2-3 | I-League |
What does the head-to-head say?
Across the last 1 meetings: 1 Mohun Bagan win(s), 0 draw(s), 0 Indian Arrows win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2018 | Indian Arrows 0-2 Mohun Bagan | I-League |
Last archived meeting: Indian Arrows vs Mohun Bagan on Nov 10, 2018
How many goals should we expect?
Mohun Bagan score 1.2 and concede 1.3 goals per match over their last 15; Indian Arrows score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohun Bagan | 1.2 | 1.3 | 5 | 8/15 | 7/15 |
| Indian Arrows | 0.9 | 1.3 | 4 | 6/15 | 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