Sudeva vs Gokulam: result 0-4 and analysis
I-LeagueRegular Season - 12Kick-off on April 15, 2022 at 11:35 AM (UTC)Kalyani Stadium, Kalyani
Full time
What was the result of Sudeva vs Gokulam?
Gokulam won 0-4 on April 15, 2022.
Goalscorers
- 17′L. MajcenGokulam
- 27′T. ZamanGokulam
- 61′L. MajcenGokulam
- 87′L. MajcenGokulam
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sudeva have 4 wins, 4 draws and 7 defeats; Gokulam have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | TRAU(away) | 0-0 | I-League |
| Apr 2, 2022 | Minerva Punjab(away) | 2-3 | I-League |
| Mar 29, 2022 | Real Kashmir(away) | 2-2 | I-League |
| Mar 24, 2022 | NEROCA(home) | 1-1 | I-League |
| Mar 20, 2022 | Sreenidi Deccan(home) | 0-1 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Indian Arrows(home) | 5-0 | I-League |
| Apr 5, 2022 | Sreenidi Deccan(away) | 2-1 | I-League |
| Apr 1, 2022 | Aizawl(away) | 2-1 | I-League |
| Mar 29, 2022 | Rajasthan United(home) | 1-1 | I-League |
| Mar 25, 2022 | Mohammedan(away) | 1-1 | I-League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sudeva win(s), 0 draw(s), 1 Gokulam win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 23, 2021 | Sudeva 0-1 Gokulam | I-League |
How many goals should we expect?
Sudeva score 1.0 and concede 1.2 goals per match over their last 15; Gokulam score 2.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sudeva | 1.0 | 1.2 | 5 | 8/15 | 7/15 |
| Gokulam | 2.5 | 0.8 | 5 | 10/15 | 9/15 |
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