Bylis vs Tomori Berat: result 2-0 and analysis
1st DivisionPromotion Round - 2Kick-off on March 18, 2017 at 02:00 PM (UTC)Stadiumi Adush Muça, Ballsh
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What was the result of Bylis vs Tomori Berat?
Bylis won 2-0 on March 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bylis have 10 wins, 4 draws and 1 defeats; Tomori Berat have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2017 | Pogradeci(away) | 3-0 | 1st Division |
| Mar 4, 2017 | Apolonia Fier(home) | 1-0 | 1st Division |
| Feb 24, 2017 | Sopoti Librazhd(away) | 3-0 | 1st Division |
| Feb 18, 2017 | Shkumbini Peqin(away) | 2-0 | 1st Division |
| Feb 13, 2017 | Lushnja(home) | 1-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2017 | Lushnja(home) | 0-1 | 1st Division |
| Mar 4, 2017 | Elbasani(away) | 0-1 | 1st Division |
| 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 |
What does the head-to-head say?
Across the last 6 meetings: 4 Bylis win(s), 1 draw(s), 1 Tomori Berat win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2016 | Bylis 2-0 Tomori Berat | 1st Division |
| Oct 3, 2016 | Tomori Berat 2-0 Bylis | 1st Division |
| Apr 18, 2015 | Bylis 10-0 Tomori Berat | 1st Division |
| Feb 21, 2015 | Bylis 1-0 Tomori Berat | 1st Division |
| Nov 8, 2014 | Tomori Berat 1-1 Bylis | 1st Division |
| Apr 12, 2013 | Bylis 4-1 Tomori Berat | Superliga |
How many goals should we expect?
Bylis score 1.5 and concede 0.4 goals per match over their last 15; Tomori Berat score 0.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bylis | 1.5 | 0.4 | 10 | 5/15 | 5/15 |
| Tomori Berat | 0.5 | 0.7 | 6 | 2/15 | 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