Tirana II vs Sukthi: result 3-2 and analysis
2nd Division - Group ARegular Season - 7Kick-off on November 15, 2015 at 01:00 PM (UTC)Stadiumi Kamza, Kamëz
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What was the result of Tirana II vs Sukthi?
Tirana II won 3-2 on November 15, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tirana II have 3 wins, 3 draws and 9 defeats; Sukthi have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2015 | Luzi 2008(away) | 1-2 | 2nd Division - Group A |
| Nov 1, 2015 | Kevitan(away) | 4-6 | 2nd Division - Group A |
| Oct 25, 2015 | Partizani Tirana II(home) | 2-2 | 2nd Division - Group A |
| Oct 18, 2015 | Shënkolli(away) | 0-3 | 2nd Division - Group A |
| Oct 4, 2015 | Egnatia Rrogozhinë(home) | 2-3 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2015 | Kevitan(home) | 1-0 | 2nd Division - Group A |
| Nov 1, 2015 | Partizani Tirana II(away) | 1-3 | 2nd Division - Group A |
| Oct 25, 2015 | Shënkolli(home) | 0-2 | 2nd Division - Group A |
| Oct 18, 2015 | Egnatia Rrogozhinë(away) | 1-2 | 2nd Division - Group A |
| Oct 4, 2015 | Gramshi(home) | 3-1 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 2 meetings: 2 Tirana II wins, 0 draws, 0 Sukthi wins.
| Date | Score | Competition |
|---|---|---|
| May 10, 2015 | Tirana II 3-2 Sukthi | 2nd Division - Group A |
| Dec 17, 2014 | Sukthi 0-2 Tirana II | 2nd Division - Group A |
How many goals should we expect?
Tirana II score 1.9 and concede 2.7 goals per match over their last 15; Sukthi score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tirana II | 1.9 | 2.7 | 1 | 12/15 | 15/15 |
| Sukthi | 1.5 | 1.3 | 5 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Tirana II vs Sukthi?
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