Selenicë vs Tomori Berat: result 1-6 and analysis
2nd Division - Group BGroup B - 11Kick-off on December 15, 2019 at 12:00 PM (UTC)Stadiumi Selenicë, Selenicë
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What was the result of Selenicë vs Tomori Berat?
Tomori Berat won 1-6 on December 15, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Selenicë have 1 win, 0 draws and 8 defeats; Tomori Berat have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Naftëtari Kuçovë(away) | 2-8 | 2nd Division - Group B |
| Nov 24, 2019 | Tepelena(home) | 2-0 | 2nd Division - Group B |
| Nov 10, 2019 | Delvina(away) | 2-4 | 2nd Division - Group B |
| Nov 3, 2019 | Albpetrol Patos(home) | 0-3 | 2nd Division - Group B |
| Oct 27, 2019 | Memaliaj(away) | 1-8 | 2nd Division - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Delvina(home) | 4-0 | 2nd Division - Group B |
| Nov 24, 2019 | Albpetrol Patos(away) | 2-1 | 2nd Division - Group B |
| Nov 16, 2019 | Memaliaj(home) | 2-1 | 2nd Division - Group B |
| Nov 10, 2019 | Gramozi Ersekë(away) | 2-1 | 2nd Division - Group B |
| Nov 3, 2019 | Përmeti(home) | 5-0 | 2nd Division - Group B |
How many goals should we expect?
Selenicë score 0.8 and concede 4.0 goals per match over their last 9; Tomori Berat score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Selenicë | 0.8 | 4.0 | 1 | 3/9 | 6/9 |
| Tomori Berat | 1.9 | 1.6 | 4 | 9/15 | 12/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tomori Berat | 20 | 11 | 2 | 7 | 39 | 21 | 35 |
A question about Selenicë vs Tomori Berat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy