Gramshi vs Mirdita: result 3-1 and analysis
2nd Division - Group AGroup A - 17Kick-off on June 10, 2020 at 03:00 PM (UTC)Fusha Sportive Gramshi, Gramsh
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What was the result of Gramshi vs Mirdita?
Gramshi won 3-1 on June 10, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gramshi have 6 wins, 2 draws and 7 defeats; Mirdita have 9, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2020 | Luzi 2008(away) | 1-4 | 2nd Division - Group A |
| Mar 2, 2020 | Klosi(away) | 1-1 | 2nd Division - Group A |
| Feb 22, 2020 | Sopoti Librazhd(home) | 2-1 | 2nd Division - Group A |
| Feb 15, 2020 | Partizani Tirana II(away) | 0-2 | 2nd Division - Group A |
| Feb 8, 2020 | Vora(away) | 0-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2020 | Tirana II(home) | 1-0 | 2nd Division - Group A |
| Feb 29, 2020 | Ada Velipojë(home) | 3-1 | 2nd Division - Group A |
| Feb 23, 2020 | Vllaznia Shkodër II(away) | 1-1 | 2nd Division - Group A |
| Feb 8, 2020 | Internacional Tirana(home) | 4-1 | 2nd Division - Group A |
| Dec 21, 2019 | Spartaku Tiranë(away) | 3-1 | 2nd Division - Group A |
What does the head-to-head say?
Across the last 1 meetings: 1 Gramshi win(s), 0 draw(s), 0 Mirdita win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2019 | Mirdita 1-2 Gramshi | 2nd Division - Group A |
How many goals should we expect?
Gramshi score 1.2 and concede 1.3 goals per match over their last 15; Mirdita score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gramshi | 1.2 | 1.3 | 4 | 6/15 | 6/15 |
| Mirdita | 1.7 | 1.2 | 4 | 10/14 | 9/14 |
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