Këlcyra vs Tomori Berat: result 1-0 and analysis
2nd Division - Group BGroup B - 3Kick-off on October 13, 2019 at 12:00 PM (UTC)Stadiumi Demir Allamani, Këlcyrë
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What was the result of Këlcyra vs Tomori Berat?
Këlcyra won 1-0 on October 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Këlcyra have 7 wins, 1 draws and 7 defeats; Tomori Berat have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Naftëtari Kuçovë(away) | 1-0 | 2nd Division - Group B |
| Sep 29, 2019 | Tepelena(home) | 4-0 | 2nd Division - Group B |
| May 19, 2019 | Gramozi Ersekë(home) | 2-2 | 2nd Division - Group B |
| May 11, 2019 | Memaliaj(away) | 4-6 | 2nd Division - Group B |
| May 4, 2019 | Term(home) | 3-0 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Skrapari(home) | 3-0 | 2nd Division - Group B |
| May 18, 2019 | Pogradeci(home) | 2-3 | 1st Division |
| May 11, 2019 | Turbina Cërrik(away) | 1-4 | 1st Division |
| May 4, 2019 | Elbasani(home) | 0-0 | 1st Division |
| Apr 21, 2019 | Apolonia Fier(home) | 1-4 | 1st Division |
How many goals should we expect?
Këlcyra score 1.8 and concede 1.5 goals per match over their last 15; Tomori Berat score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Këlcyra | 1.8 | 1.5 | 5 | 7/15 | 9/15 |
| Tomori Berat | 1.0 | 1.8 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Këlcyra sit 9th in 2nd Division - Group B (20 points from 20 matches) and Tomori Berat sit 3rd (35 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tomori Berat | 20 | 11 | 2 | 7 | 39 | 21 | 35 |
| 9 | Këlcyra | 20 | 5 | 5 | 10 | 28 | 40 | 20 |
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