Real Kashmir vs TRAU: prediction and stats
I-LeagueRegular Season - 19Kick-off on March 14, 2020 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 6 wins, 4 draws and 5 defeats; TRAU have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2020 | East Bengal(home) | 0-1 | I-League |
| Mar 4, 2020 | NEROCA(home) | 1-0 | I-League |
| Feb 29, 2020 | Aizawl(home) | 2-2 | I-League |
| Feb 24, 2020 | Indian Arrows(home) | 1-0 | I-League |
| Feb 19, 2020 | Churchill Brothers(away) | 1-2 | I-League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2020 | Indian Arrows(home) | 1-0 | I-League |
| Mar 4, 2020 | Churchill Brothers(home) | 1-0 | I-League |
| Mar 1, 2020 | Mohun Bagan(home) | 1-3 | I-League |
| Feb 23, 2020 | East Bengal(home) | 2-4 | I-League |
| Feb 16, 2020 | Chennai City(home) | 0-0 | I-League |
What does the head-to-head say?
In the last meeting: 0 Real Kashmir wins, 1 draw, 0 TRAU wins.
| Date | Score | Competition |
|---|---|---|
| Dec 22, 2019 | TRAU 2-2 Real Kashmir | I-League |
How many goals should we expect?
Real Kashmir score 1.1 and concede 0.9 goals per match over their last 15; TRAU score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Kashmir | 1.1 | 0.9 | 5 | 6/15 | 4/15 |
| TRAU | 1.1 | 1.5 | 5 | 8/15 | 8/15 |
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 |
A question about Real Kashmir vs TRAU?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy