Kukësi II vs Gramshi: result 3-0 and analysis
2nd Division - Group ARegular Season - 13Kick-off on December 17, 2016 at 01:00 PM (UTC)Stadiumi Zeqir Ymeri
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What was the result of Kukësi II vs Gramshi?
Kukësi II won 3-0 on December 17, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kukësi II have 3 wins, 4 draws and 4 defeats; Gramshi have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2016 | Internacional Tirana(away) | 5-2 | 2nd Division - Group A |
| Dec 10, 2016 | Kevitan(home) | 3-1 | 2nd Division - Group A |
| Dec 4, 2016 | Luzi 2008(away) | 1-1 | 2nd Division - Group A |
| Nov 27, 2016 | Vllaznia Shkodër II(home) | 0-1 | 2nd Division - Group A |
| Nov 23, 2016 | Albpetrol Patos(away) | 0-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2016 | Ada Velipojë(home) | 3-0 | 2nd Division - Group A |
| Dec 11, 2016 | Tirana II(away) | 2-3 | 2nd Division - Group A |
| Dec 4, 2016 | Egnatia Rrogozhinë(home) | 0-1 | 2nd Division - Group A |
| Nov 23, 2016 | Internacional Tirana(away) | 1-0 | 2nd Division - Group A |
| Nov 20, 2016 | Kevitan(home) | 1-1 | 2nd Division - Group A |
How many goals should we expect?
Kukësi II score 1.7 and concede 1.5 goals per match over their last 11; Gramshi score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kukësi II | 1.7 | 1.5 | 0 | 8/11 | 5/11 |
| Gramshi | 0.9 | 1.4 | 4 | 6/15 | 6/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Gramshi | 22 | 3 | 5 | 14 | 27 | 50 | 14 |
A question about Kukësi II vs Gramshi?
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