Vora vs Kukësi II: result 4-2 and analysis
2nd Division - Group ARegular Season - 20Kick-off on April 2, 2017 at 02:00 PM (UTC)Stadiumi Vora, Vora
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What was the result of Vora vs Kukësi II?
Vora won 4-2 on April 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vora have 8 wins, 2 draws and 5 defeats; Kukësi II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Ada Velipojë(away) | 5-2 | 2nd Division - Group A |
| Mar 12, 2017 | Tirana II(home) | 4-1 | 2nd Division - Group A |
| Mar 5, 2017 | Egnatia Rrogozhinë(away) | 1-2 | 2nd Division - Group A |
| Feb 26, 2017 | Gramshi(home) | 3-1 | 2nd Division - Group A |
| Feb 19, 2017 | Internacional Tirana(away) | 3-0 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | Veleçiku Koplik(home) | 1-0 | 2nd Division - Group A |
| Mar 12, 2017 | Partizani Tirana II(away) | 0-3 | 2nd Division - Group A |
| Feb 27, 2017 | Ada Velipojë(home) | 5-1 | 2nd Division - Group A |
| Feb 18, 2017 | Tirana II(away) | 3-0 | 2nd Division - Group A |
| Feb 12, 2017 | Egnatia Rrogozhinë(home) | 0-2 | 2nd Division - Group A |
What does the head-to-head say?
In the last meeting: 0 Vora wins, 1 draw, 0 Kukësi II wins.
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2016 | Kukësi II 1-1 Vora | 2nd Division - Group A |
How many goals should we expect?
Vora score 2.5 and concede 1.5 goals per match over their last 15; Kukësi II score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vora | 2.5 | 1.5 | 2 | 12/15 | 12/15 |
| Kukësi II | 2.0 | 1.3 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Vora vs Kukësi II?
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