Tepelena vs Luftëtari: result 3-1 and analysis
2nd Division - Group BGroup B - 11Kick-off on December 19, 2021 at 12:30 PM (UTC)Stadiumi Sabaudin Shehu, Tepelenë
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What was the result of Tepelena vs Luftëtari?
Tepelena won 3-1 on December 19, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tepelena have 6 wins, 3 draws and 6 defeats; Luftëtari have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2021 | Albpetrol Patos(away) | 1-1 | 2nd Division - Group B |
| Nov 28, 2021 | Naftëtari Kuçovë(home) | 1-0 | 2nd Division - Group B |
| Nov 21, 2021 | Labëria(away) | 0-3 | 2nd Division - Group B |
| Nov 7, 2021 | Memaliaj(home) | 3-1 | 2nd Division - Group B |
| Oct 31, 2021 | Sopoti Librazhd(away) | 0-4 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2021 | Devolli(home) | 1-1 | 2nd Division - Group B |
| Nov 28, 2021 | Flamurtari(home) | 0-1 | 2nd Division - Group B |
| Nov 21, 2021 | Albpetrol Patos(away) | 1-0 | 2nd Division - Group B |
| Nov 7, 2021 | Naftëtari Kuçovë(home) | 2-2 | 2nd Division - Group B |
| Oct 31, 2021 | Labëria(away) | 2-4 | 2nd Division - Group B |
How many goals should we expect?
Tepelena score 1.3 and concede 1.9 goals per match over their last 15; Luftëtari score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tepelena | 1.3 | 1.9 | 1 | 9/15 | 9/15 |
| Luftëtari | 1.3 | 1.4 | 2 | 7/10 | 5/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Luftëtari | 20 | 16 | 3 | 1 | 56 | 11 | 51 |
A question about Tepelena vs Luftëtari?
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