Gramshi vs Klosi: result 0-2 and analysis
2nd Division - Group ARegular Season - 22Kick-off on April 15, 2018 at 02:00 PM (UTC)Fusha Sportive Gramshi, Gramsh
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What was the result of Gramshi vs Klosi?
Klosi won 0-2 on April 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 8 wins, 2 draws and 5 defeats; Klosi have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Tirana II(away) | 1-2 | 2nd Division - Group A |
| Apr 1, 2018 | Kevitan(away) | 4-2 | 2nd Division - Group A |
| Mar 25, 2018 | Internacional Tirana(home) | 3-0 | 2nd Division - Group A |
| Mar 18, 2018 | Kukësi II(away) | 1-0 | 2nd Division - Group A |
| Mar 11, 2018 | Ada Velipojë(home) | 7-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2018 | Internacional Tirana(home) | 2-0 | 2nd Division - Group A |
| Apr 1, 2018 | Kukësi II(away) | 1-0 | 2nd Division - Group A |
| Mar 25, 2018 | Ada Velipojë(home) | 4-2 | 2nd Division - Group A |
| Mar 11, 2018 | Veleçiku Koplik(home) | 3-2 | 2nd Division - Group A |
| Mar 4, 2018 | Vora(away) | 0-2 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Gramshi win(s), 0 draw(s), 1 Klosi win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2017 | Klosi 2-1 Gramshi | 2nd Division - Group A |
How many goals should we expect?
Gramshi score 2.0 and concede 1.3 goals per match over their last 15; Klosi score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 2.0 | 1.3 | 4 | 9/15 | 9/15 |
| Klosi | 2.4 | 1.1 | 5 | 9/15 | 10/15 |
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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy