Gokulam vs NEROCA: result 2-1 and analysis
I-LeagueRegular Season - 1Kick-off on November 30, 2019 at 01:30 PM (UTC)EMS Stadium, Calicut, Kerala
Full time
What was the result of Gokulam vs NEROCA?
Gokulam won 2-1 on November 30, 2019.
Goalscorers
- 43′H. KisekkaGokulam
- 49′M. JosephGokulam
- 88′Taryk SampsonNEROCA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gokulam have 1 wins, 6 draws and 8 defeats; NEROCA have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | East Bengal(home) | 1-2 | I-League |
| Mar 3, 2019 | NEROCA(home) | 2-1 | I-League |
| Feb 28, 2019 | Aizawl(home) | 1-3 | I-League |
| Feb 22, 2019 | Shillong Lajong(away) | 1-1 | I-League |
| Feb 16, 2019 | Indian Arrows(home) | 1-1 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | Real Kashmir(home) | 2-3 | I-League |
| Mar 3, 2019 | Gokulam(away) | 1-2 | I-League |
| Feb 23, 2019 | Minerva Punjab(away) | 0-1 | I-League |
| Feb 11, 2019 | Chennai City(home) | 3-3 | I-League |
| Feb 7, 2019 | East Bengal(away) | 1-2 | I-League |
What does the head-to-head say?
Across the last 2 meetings: 1 Gokulam win(s), 1 draw(s), 0 NEROCA win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 3, 2019 | Gokulam 2-1 NEROCA | I-League |
| Oct 31, 2018 | NEROCA 1-1 Gokulam | I-League |
How many goals should we expect?
Gokulam score 1.1 and concede 1.8 goals per match over their last 15; NEROCA score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gokulam | 1.1 | 1.8 | 0 | 13/15 | 8/15 |
| NEROCA | 1.5 | 1.4 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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