Gokulam vs Shillong Lajong: result 3-1 and analysis
I-LeagueRegular Season - 4Kick-off on November 11, 2018 at 11:30 AM (UTC)EMS Stadium, Calicut, Kerala
Full time
What was the result of Gokulam vs Shillong Lajong?
Gokulam won 3-1 on November 11, 2018.
Goalscorers
- 43′G. NigamGokulam
- 56′Antonio Timothy GermanGokulam
- 66′S RajeshGokulam
- 78′P. BuamShillong Lajong
What is the recent form of both teams?
Over their last 5 matches in all competitions, Gokulam have 1 wins, 2 draws and 2 defeats; Shillong Lajong have 2, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Chennai City(home) | 2-3 | I-League |
| Oct 31, 2018 | NEROCA(away) | 1-1 | I-League |
| Oct 27, 2018 | Mohun Bagan(home) | 1-1 | I-League |
| Apr 1, 2018 | Bengaluru(away) | 1-2 | AIFF Super Cup |
| Mar 15, 2018 | NorthEast United(away) | 2-0 | AIFF Super Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2018 | Indian Arrows(away) | 0-1 | I-League |
| Nov 1, 2018 | East Bengal(home) | 1-3 | I-League |
| Oct 28, 2018 | Aizawl(home) | 2-1 | I-League |
| Apr 11, 2018 | Mohun Bagan(away) | 1-3 | AIFF Super Cup |
| Apr 4, 2018 | Pune City(away) | 3-2 | AIFF Super Cup |
How many goals should we expect?
Gokulam score 1.4 and concede 1.4 goals per match over their last 5; Shillong Lajong score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gokulam | 1.4 | 1.4 | 1 | 4/5 | 2/5 |
| Shillong Lajong | 1.4 | 2.0 | 0 | 4/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Gokulam sit 9th in I-League (8 points from 9 matches) and Shillong Lajong sit 2nd (28 points from 14 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Shillong Lajong | 14 | 8 | 4 | 2 | 28 | 12 | 28 |
| 9 | Gokulam | 9 | 2 | 2 | 5 | 11 | 18 | 8 |
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