Shillong Lajong vs Minerva Punjab: result 2-2 and analysis
I-LeagueRegular Season - 6Kick-off on November 23, 2018 at 11:30 AM (UTC)Jawaharlal Nehru Stadium, Shillong, Meghalaya
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What was the result of Shillong Lajong vs Minerva Punjab?
Shillong Lajong and Minerva Punjab drew 2-2 on November 23, 2018.
Goalscorers
- 24′P. BuamShillong Lajong
- 43′Allen Camper Lyngdoh NongbriShillong Lajong
- 45′William Opoku AsieduMinerva Punjab
- 75′Philip NjokuMinerva Punjab
What is the recent form of both teams?
Over their last 7 matches in all competitions, Shillong Lajong have 2 wins, 0 draws and 5 defeats; Minerva Punjab have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2018 | Churchill Brothers(away) | 2-4 | I-League |
| Nov 11, 2018 | Gokulam(away) | 1-3 | I-League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2018 | Gokulam(away) | 0-1 | I-League |
| Nov 10, 2018 | Aizawl(away) | 2-1 | I-League |
| Oct 31, 2018 | Real Kashmir(home) | 0-1 | I-League |
| Oct 28, 2018 | Churchill Brothers(home) | 0-0 | I-League |
| Apr 2, 2018 | Jamshedpur(away) | 0-0 | AIFF Super Cup |
How many goals should we expect?
Shillong Lajong score 1.4 and concede 2.4 goals per match over their last 7; Minerva Punjab score 0.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shillong Lajong | 1.4 | 2.4 | 0 | 6/7 | 6/7 |
| Minerva Punjab | 0.4 | 0.6 | 2 | 1/5 | 1/5 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Shillong Lajong | 14 | 8 | 4 | 2 | 28 | 12 | 28 |
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