Real Kashmir vs Minerva Punjab: prediction and stats
I-LeagueRegular Season - 19Kick-off on February 18, 2019 at 12:00 AM (UTC)TRC Polo Synthetic Turf Ground, Srinagar, Jammu and Kashmir
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Kashmir have 8 wins, 5 draws and 2 defeats; Minerva Punjab have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2019 | Gokulam(home) | 1-0 | I-League |
| Jan 31, 2019 | Churchill Brothers(away) | 1-1 | I-League |
| Jan 28, 2019 | Chennai City(home) | 1-0 | I-League |
| Jan 19, 2019 | Shillong Lajong(away) | 1-0 | I-League |
| Jan 11, 2019 | Aizawl(away) | 0-0 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2019 | Saipa(away) | 0-4 | AFC Champions League Elite |
| Feb 5, 2019 | Indian Arrows(away) | 1-2 | I-League |
| Feb 1, 2019 | Aizawl(home) | 0-1 | I-League |
| Jan 25, 2019 | Shillong Lajong(home) | 0-1 | I-League |
| Jan 19, 2019 | Gokulam(home) | 1-1 | I-League |
What does the head-to-head say?
Across the last 1 meetings: 1 Real Kashmir win(s), 0 draw(s), 0 Minerva Punjab win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2018 | Minerva Punjab 0-1 Real Kashmir | I-League |
Last archived meeting: Minerva Punjab vs Real Kashmir on Oct 31, 2018
How many goals should we expect?
Real Kashmir score 1.2 and concede 0.5 goals per match over their last 15; Minerva Punjab score 0.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Kashmir | 1.2 | 0.5 | 8 | 5/15 | 2/15 |
| Minerva Punjab | 0.5 | 1.2 | 4 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Real Kashmir | 9 | 2 | 2 | 5 | 15 | 14 | 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