Elbasani vs Tomori Berat: result 1-0 and analysis
1st DivisionRegular Season - 18Kick-off on March 4, 2017 at 01:00 PM (UTC)Elbasan Arena, Elbasan
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What was the result of Elbasani vs Tomori Berat?
Elbasani won 1-0 on March 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Elbasani have 3 wins, 3 draws and 9 defeats; Tomori Berat have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | Pogradeci(away) | 1-2 | 1st Division |
| Feb 18, 2017 | Apolonia Fier(home) | 1-3 | 1st Division |
| Feb 11, 2017 | Sopoti Librazhd(away) | 2-2 | 1st Division |
| Feb 4, 2017 | Bylis(home) | 1-2 | 1st Division |
| Dec 17, 2016 | Lushnja(away) | 0-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2017 | Dinamo Tirana(home) | 1-1 | 1st Division |
| Feb 18, 2017 | Turbina Cërrik(away) | 0-2 | 1st Division |
| Feb 13, 2017 | Shkumbini Peqin(home) | 1-0 | 1st Division |
| Feb 3, 2017 | Pogradeci(home) | 0-1 | 1st Division |
| Dec 17, 2016 | Apolonia Fier(away) | 0-1 | 1st Division |
What does the head-to-head say?
Across the last 3 meetings: 2 Elbasani win(s), 0 draw(s), 1 Tomori Berat win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2016 | Tomori Berat 2-0 Elbasani | 1st Division |
| Mar 15, 2014 | Elbasani 1-0 Tomori Berat | 1st Division |
| Oct 5, 2013 | Tomori Berat 1-2 Elbasani | 1st Division |
Last archived meeting: Tomori Berat vs Elbasani on Nov 19, 2016
How many goals should we expect?
Elbasani score 0.9 and concede 1.8 goals per match over their last 15; Tomori Berat score 0.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Elbasani | 0.9 | 1.8 | 2 | 10/15 | 10/15 |
| Tomori Berat | 0.6 | 0.7 | 7 | 3/15 | 0/15 |
Over the last 15 matches in all competitions.
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