Pogradeci vs Besa Kavajë: result 2-1 and analysis
1st DivisionRegular Season - 1Kick-off on September 9, 2018 at 02:00 PM (UTC)Stadiumi Gjorgji Kyçyku, Pogradec
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What was the result of Pogradeci vs Besa Kavajë?
Pogradeci won 2-1 on September 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pogradeci have 5 wins, 2 draws and 8 defeats; Besa Kavajë have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Apolonia Fier(away) | 1-3 | 1st Division |
| Apr 28, 2018 | Tomori Berat(home) | 3-2 | 1st Division |
| Apr 21, 2018 | Bylis(home) | 1-1 | 1st Division |
| Apr 14, 2018 | Tirana(away) | 2-3 | 1st Division |
| Apr 1, 2018 | Apolonia Fier(home) | 1-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Korabi Peshkopi(away) | 0-4 | 1st Division |
| Apr 28, 2018 | Vllaznia Shkodër II(home) | 3-1 | 1st Division |
| Apr 21, 2018 | Burreli(away) | 0-1 | 1st Division |
| Apr 14, 2018 | Tërbuni Pukë(away) | 1-2 | 1st Division |
| Mar 31, 2018 | Korabi Peshkopi(home) | 3-0 | 1st Division |
How many goals should we expect?
Pogradeci score 1.3 and concede 1.5 goals per match over their last 15; Besa Kavajë score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pogradeci | 1.3 | 1.5 | 2 | 9/15 | 9/15 |
| Besa Kavajë | 1.1 | 1.2 | 5 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Pogradeci sit 5th in 1st Division (14 points from 9 matches) and Besa Kavajë sit 2nd (17 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Besa Kavajë | 9 | 5 | 2 | 2 | 20 | 9 | 17 |
| 5 | Pogradeci | 9 | 3 | 5 | 1 | 13 | 8 | 14 |
A question about Pogradeci vs Besa Kavajë?
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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