Lushnja vs Kamza: result 0-0 and analysis
1st DivisionChampionship - FinalKick-off on May 26, 2017 at 02:30 PM (UTC)Elbasan Arena, Elbasan
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What was the result of Lushnja vs Kamza?
Lushnja and Kamza drew 0-0 on May 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lushnja have 11 wins, 3 draws and 1 defeat; Kamza have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Bylis(home) | 1-0 | 1st Division |
| Apr 30, 2017 | Pogradeci(away) | 2-2 | 1st Division |
| Apr 22, 2017 | Shkumbini Peqin(away) | 2-1 | 1st Division |
| Apr 15, 2017 | Tomori Berat(home) | 1-0 | 1st Division |
| Apr 8, 2017 | Bylis(away) | 1-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2017 | Besëlidhja Lezhë(home) | 1-1 | 1st Division |
| Apr 29, 2017 | Erzeni Shijak(away) | 5-2 | 1st Division |
| Apr 22, 2017 | Shënkolli(away) | 0-0 | 1st Division |
| Apr 14, 2017 | Burreli(home) | 2-1 | 1st Division |
| Apr 9, 2017 | Besëlidhja Lezhë(away) | 0-0 | 1st Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Lushnja win, 0 draws, 1 Kamza win.
| Date | Score | Competition |
|---|---|---|
| May 4, 2013 | Kamza 5-3 Lushnja | 1st Division |
| Dec 1, 2012 | Lushnja 2-0 Kamza | 1st Division |
How many goals should we expect?
Lushnja score 1.5 and concede 0.5 goals per match over their last 15; Kamza score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lushnja | 1.5 | 0.5 | 8 | 6/15 | 5/15 |
| Kamza | 1.3 | 0.5 | 8 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lushnja | 33 | 5 | 11 | 17 | 26 | 47 | 26 |
A question about Lushnja vs Kamza?
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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