Luzi 2008 vs Valbona: result 2-1 and analysis
2nd Division - Group AGroup A - 9Kick-off on February 6, 2021 at 12:30 PM (UTC)Stadiumi Luz i Vogël, Luz i Vogël
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What was the result of Luzi 2008 vs Valbona?
Luzi 2008 won 2-1 on February 6, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luzi 2008 have 9 wins, 4 draws and 2 defeats; Valbona have 2, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 24, 2020 | Mirdita(away) | 7-1 | 2nd Division - Group A |
| Dec 13, 2020 | Tërbuni Pukë(away) | 0-2 | 2nd Division - Group A |
| Dec 6, 2020 | Internacional Tirana(home) | 2-0 | 2nd Division - Group A |
| Nov 29, 2020 | Shkumbini Peqin(away) | 0-0 | 2nd Division - Group A |
| Nov 22, 2020 | Iliria Fushë-Krujë(home) | 1-1 | 2nd Division - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 24, 2020 | Shënkolli(home) | 2-1 | 2nd Division - Group A |
| Dec 20, 2020 | Mirdita(away) | 4-0 | 2nd Division - Group A |
| Dec 13, 2020 | Gramshi(home) | 0-0 | 2nd Division - Group A |
| Nov 28, 2020 | Ada Velipojë(home) | 1-1 | 2nd Division - Group A |
| Nov 22, 2020 | Tërbuni Pukë(away) | 2-2 | 2nd Division - Group A |
How many goals should we expect?
Luzi 2008 score 2.8 and concede 1.4 goals per match over their last 15; Valbona score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luzi 2008 | 2.8 | 1.4 | 4 | 10/15 | 9/15 |
| Valbona | 1.6 | 1.1 | 2 | 5/7 | 4/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Luzi 2008 | 22 | 18 | 2 | 2 | 53 | 16 | 56 |
A question about Luzi 2008 vs Valbona?
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