SAT Tirur vs TRAU: result 2-3 and analysis
I-League - 2nd DivisionRegular Season - 7Kick-off on April 19, 2025 at 10:30 AM (UTC)Rajeev Gandhi Municipal Stadium Tirur, Tirur
Full time
What was the result of SAT Tirur vs TRAU?
TRAU won 2-3 on April 19, 2025.
Goalscorers
- 12′?TRAU
- 16′?TRAU
- 23′?TRAU
- 57′?SAT Tirur
- 84′?SAT Tirur
What is the recent form of both teams?
Over their last 14 matches in all competitions, SAT Tirur have 5 wins, 4 draws and 5 defeats; TRAU have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2025 | Diamond Harbour(home) | 1-2 | I-League - 2nd Division |
| Apr 3, 2025 | Chanmari(home) | 1-1 | I-League - 2nd Division |
| Mar 29, 2025 | KLASA(away) | 1-0 | I-League - 2nd Division |
| Mar 25, 2025 | Bengaluru United(away) | 0-0 | I-League - 2nd Division |
| Mar 15, 2025 | NEROCA(away) | 1-0 | I-League - 2nd Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2025 | United(away) | 1-1 | I-League - 2nd Division |
| Apr 3, 2025 | Sporting Goa(home) | 0-1 | I-League - 2nd Division |
| Mar 24, 2025 | Diamond Harbour(home) | 0-2 | I-League - 2nd Division |
| Mar 21, 2025 | KLASA(home) | 1-3 | I-League - 2nd Division |
| Mar 16, 2025 | Chanmari(home) | 0-1 | I-League - 2nd Division |
What does the head-to-head say?
In the last meeting: 0 SAT Tirur wins, 0 draws, 1 TRAU win.
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2025 | TRAU 2-1 SAT Tirur | I-League - 2nd Division |
How many goals should we expect?
SAT Tirur score 1.1 and concede 1.3 goals per match over their last 14; TRAU score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SAT Tirur | 1.1 | 1.3 | 6 | 7/14 | 6/14 |
| TRAU | 0.7 | 2.1 | 2 | 8/15 | 7/15 |
Over the last 14 matches in all competitions.
A question about SAT Tirur 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