Mohun Bagan vs Bengaluru: result 2-4 and analysis
AIFF Super CupSemi-finalsKick-off on April 17, 2018 at 10:30 AM (UTC)Kalinga Stadium, Bhubaneswar
Full time
What was the result of Mohun Bagan vs Bengaluru?
Bengaluru won 2-4 on April 17, 2018.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Mohun Bagan have 8 wins, 2 draws and 4 defeats; Bengaluru have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2018 | Shillong Lajong(home) | 3-1 | AIFF Super Cup |
| Apr 1, 2018 | Churchill Brothers(away) | 2-1 | AIFF Super Cup |
| May 31, 2017 | Abahani(away) | 1-1 | AFC Champions League Two |
| May 17, 2017 | Bengaluru(home) | 3-1 | AFC Champions League Two |
| May 3, 2017 | Maziya(away) | 2-5 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2018 | NEROCA(home) | 3-1 | AIFF Super Cup |
| Apr 10, 2018 | New Radiant(home) | 1-0 | AFC Champions League Two |
| Apr 5, 2018 | Aizawl(away) | 3-1 | AFC Champions League Two |
| Apr 1, 2018 | Gokulam(home) | 2-1 | AIFF Super Cup |
| Mar 14, 2018 | Abahani(home) | 1-0 | AFC Champions League Two |
What does the head-to-head say?
Across the last 2 meetings: 1 Mohun Bagan win(s), 0 draw(s), 1 Bengaluru win(s).
| Date | Score | Competition |
|---|---|---|
| May 17, 2017 | Mohun Bagan 3-1 Bengaluru | AFC Champions League Two |
| Mar 14, 2017 | Bengaluru 2-1 Mohun Bagan | AFC Champions League Two |
Last archived meeting: Mohun Bagan vs Bengaluru on May 17, 2017
How many goals should we expect?
Mohun Bagan score 1.9 and concede 1.7 goals per match over their last 14; Bengaluru score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mohun Bagan | 1.9 | 1.7 | 0 | 12/14 | 11/14 |
| Bengaluru | 1.9 | 0.7 | 8 | 6/15 | 9/15 |
Over the last 14 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