Mohun Bagan vs TRAU: result 4-0 and analysis
I-LeagueRegular Season - 3Kick-off on December 11, 2019 at 11:30 AM (UTC)Kalyani Stadium, Kalyani
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What was the result of Mohun Bagan vs TRAU?
Mohun Bagan won 4-0 on December 11, 2019.
Goalscorers
- 5′Fran GonzálezMohun Bagan
- 38′S. VadakkepeedikaMohun Bagan
- 46′Fran GonzálezMohun Bagan
- 90′Subha GhoshMohun Bagan
Official lineup for Mohun Bagan vs TRAU
The starting elevens fielded at kick-off.
Mohun Bagan
- 16N. Naorem
- 17Julen Colinas
- 20S. Vadakkepeedika
- 1S. Roy
- 11A. Jesuraj
- 50Fran González
- 4Fran Morante
- 5G. Kumar
- 6A. Mehta
- 10Joseba Beitia
- 45D. Cyrus
TRAU
- 9Abednego Tetteh
- 11Marcel Silva Sacramento
- 8W. Luwang
- 16T. Ghosh
- 29L. Meitei
- 38M. Roger
- 1G. Chabal
- 4S. Singh
- 5I. Isinde
- 19D. Meitei
- 25O. Uche
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; TRAU have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Churchill Brothers(home) | 2-4 | I-League |
| Nov 30, 2019 | Aizawl(away) | 0-0 | I-League |
| Mar 8, 2019 | Shillong Lajong(away) | 3-2 | I-League |
| Feb 28, 2019 | Indian Arrows(home) | 1-3 | I-League |
| Feb 24, 2019 | Chennai City(away) | 1-3 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Chennai City(away) | 0-1 | I-League |
How many goals should we expect?
Mohun Bagan score 1.3 and concede 1.5 goals per match over their last 15; TRAU score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohun Bagan | 1.3 | 1.5 | 5 | 9/15 | 8/15 |
| TRAU | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Mohun Bagan vs TRAU?
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