Tomori Berat vs Memaliaj: result 1-0 and analysis
2nd Division - Group BRegular Season - 5Kick-off on November 1, 2015 at 01:00 PM (UTC)Stadiumi Tomori, Berat
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What was the result of Tomori Berat vs Memaliaj?
Tomori Berat won 1-0 on November 1, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tomori Berat have 6 wins, 2 draws and 7 defeats; Memaliaj have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2015 | Himara(away) | 1-0 | 2nd Division - Group B |
| Oct 18, 2015 | Përmeti(home) | 2-0 | 2nd Division - Group B |
| Oct 6, 2015 | Skrapari(away) | 5-0 | 2nd Division - Group B |
| Sep 28, 2015 | Delvina(home) | 2-0 | 2nd Division - Group B |
| May 16, 2015 | Dinamo Tirana(away) | 0-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2015 | Oriku(home) | 2-1 | 2nd Division - Group B |
| Oct 18, 2015 | Bilisht Sporti(away) | 0-2 | 2nd Division - Group B |
| Oct 6, 2015 | Naftëtari Kuçovë(home) | 0-1 | 2nd Division - Group B |
| May 10, 2015 | Tepelena(away) | 2-0 | 2nd Division - Group B |
| May 3, 2015 | Turbina Cërrik(home) | 3-2 | 2nd Division - Group B |
How many goals should we expect?
Tomori Berat score 1.2 and concede 1.6 goals per match over their last 15; Memaliaj score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tomori Berat | 1.2 | 1.6 | 6 | 3/15 | 7/15 |
| Memaliaj | 1.4 | 1.2 | 5 | 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 Memaliaj sit 11th (4 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tomori Berat | 20 | 11 | 2 | 7 | 39 | 21 | 35 |
| 11 | Memaliaj | 20 | 1 | 1 | 18 | 15 | 79 | 4 |
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