Ada Velipojë vs Gramshi: result 1-1 and analysis
1st DivisionRegular Season - 4Kick-off on October 1, 2011 at 01:00 PM (UTC)Fusha sportive Reshit Rusi, Shkodër
Full time
What was the result of Ada Velipojë vs Gramshi?
Ada Velipojë and Gramshi drew 1-1 on October 1, 2011.
Goalscorers
- 63′Safet OsjaAda Velipojë (pen.)
- 79′F. ÇekreziGramshi
Official lineup for Ada Velipojë vs Gramshi
The starting elevens fielded at kick-off.
Ada Velipojë
- DD. Lifja
- EE. Puka
- SSafet Osja
- HH. Dalipi
- EE. Nika
- BB. Murati
- EErbet Hotaj
- GG. Isufi
- EE. Ferlushkaj
- FF. Tota
- OOlti Bishani
Gramshi
- EE. Pengu
- MM. Lezi
- LL. Koçi
- EE. Myftaraj
- AA. Çekrezi
- SSaimir Kaloshi
- AA. Marishta
- NN. Doçi
- GG. Kote
- FF. Bodurri
- LL. Koçi
What is the recent form of both teams?
Over their last 3 matches in all competitions, Ada Velipojë have 2 wins, 1 draw and 0 defeats; Gramshi have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2011 | Iliria Fushë-Krujë(away) | 2-1 | 1st Division |
| Sep 17, 2011 | Besa Kavajë(home) | 2-2 | 1st Division |
| Sep 10, 2011 | Burreli(away) | 2-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2011 | Gramozi Ersekë(home) | 2-1 | 1st Division |
| Sep 17, 2011 | Elbasani(away) | 1-5 | 1st Division |
| Sep 10, 2011 | Iliria Fushë-Krujë(away) | 2-1 | 1st Division |
How many goals should we expect?
Ada Velipojë score 2.0 and concede 1.0 goals per match over their last 3; Gramshi score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ada Velipojë | 2.0 | 1.0 | 1 | 2/3 | 2/3 |
| Gramshi | 1.7 | 2.3 | 0 | 3/3 | 3/3 |
Over the last 3 matches in all competitions.
A question about Ada Velipojë 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