Tomori Berat vs Delvina: result 2-0 and analysis
2nd Division - Group BRegular Season - 1Kick-off on September 28, 2015 at 02:00 PM (UTC)Stadiumi Tomori, Berat
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What was the result of Tomori Berat vs Delvina?
Tomori Berat won 2-0 on September 28, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tomori Berat have 4 wins, 2 draws and 9 defeats; Delvina have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Dinamo Tirana(away) | 0-1 | 1st Division |
| May 9, 2015 | Shkumbini Peqin(home) | 2-1 | 1st Division |
| May 2, 2015 | Luftetari Gjirokaster(away) | 1-3 | 1st Division |
| Apr 25, 2015 | Lushnja(home) | 0-1 | 1st Division |
| Apr 18, 2015 | Bylis(away) | 0-10 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2015 | Himara(home) | 3-1 | 2nd Division - Group B |
| May 3, 2015 | Gramozi Ersekë(away) | 0-2 | 2nd Division - Group B |
| Apr 26, 2015 | Tepelena(home) | 1-0 | 2nd Division - Group B |
| Apr 19, 2015 | Bilisht Sporti(away) | 1-2 | 2nd Division - Group B |
| Apr 12, 2015 | Turbina Cërrik(home) | 0-2 | 2nd Division - Group B |
How many goals should we expect?
Tomori Berat score 0.7 and concede 1.8 goals per match over their last 15; Delvina score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tomori Berat | 0.7 | 1.8 | 3 | 4/15 | 7/15 |
| Delvina | 1.5 | 1.4 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tomori Berat sit 3rd in 2nd Division - Group B (35 points from 20 matches) and Delvina sit 6th (26 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tomori Berat | 20 | 11 | 2 | 7 | 39 | 21 | 35 |
| 6 | Delvina | 20 | 7 | 5 | 8 | 32 | 31 | 26 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy