Kamza vs Gramshi: prediction and stats
2nd Division - Group AGroup A - 8Kick-off on November 16, 2019 at 12:00 PM (UTC)Stadiumi Kamza, Kamëz
Match in progress
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kamza have 0 wins, 1 draw and 14 defeats; Gramshi have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2019 | Skenderbeu Korce(home) | 0-3 | Superliga |
| May 24, 2019 | Flamurtari(away) | 0-3 | Superliga |
| May 17, 2019 | Luftetari Gjirokaster(home) | 0-3 | Superliga |
| May 10, 2019 | Laci(away) | 0-3 | Superliga |
| May 3, 2019 | FK Kukesi(home) | 0-3 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Internacional Tirana(home) | 1-0 | 2nd Division - Group A |
| Nov 2, 2019 | Spartaku Tiranë(away) | 3-0 | 2nd Division - Group A |
| Oct 26, 2019 | Luzi 2008(home) | 0-2 | 2nd Division - Group A |
| Oct 19, 2019 | Mirdita(away) | 2-1 | 2nd Division - Group A |
| Oct 13, 2019 | Klosi(home) | 1-1 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 2 meetings: 1 Kamza win, 1 draw, 0 Gramshi wins.
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2013 | Kamza 1-0 Gramshi | 1st Division |
| Oct 27, 2012 | Gramshi 0-0 Kamza | 1st Division |
How many goals should we expect?
Kamza score 0.2 and concede 2.7 goals per match over their last 15; Gramshi score 1.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kamza | 0.2 | 2.7 | 0 | 2/15 | 13/15 |
| Gramshi | 1.2 | 1.0 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Gramshi | 22 | 3 | 5 | 14 | 27 | 50 | 14 |
A question about Kamza 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