Brežice vs Dekani: result 1-1 and analysis
2. SNLRegular Season - 28Kick-off on May 15, 2019 at 03:00 PM (UTC)Stadion Brežice, Brežice
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What was the result of Brežice vs Dekani?
Brežice and Dekani drew 1-1 on May 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brežice have 4 wins, 2 draws and 9 defeats; Dekani have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Radomlje(away) | 1-2 | 2. SNL |
| May 4, 2019 | Ilirija(home) | 3-1 | 2. SNL |
| Apr 27, 2019 | Krka(away) | 2-3 | 2. SNL |
| Apr 20, 2019 | Nafta(home) | 0-1 | 2. SNL |
| Apr 13, 2019 | Dob(away) | 0-3 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Fužinar(home) | 4-5 | 2. SNL |
| May 4, 2019 | Bravo(away) | 1-5 | 2. SNL |
| Apr 27, 2019 | Ankaran Hrvatini(home) | 3-0 | 2. SNL |
| Apr 20, 2019 | NŠ Drava(away) | 0-0 | 2. SNL |
| Apr 13, 2019 | Beltinci(home) | 3-2 | 2. SNL |
What does the head-to-head say?
In the last meeting: 0 Brežice wins, 0 draws, 1 Dekani win.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2018 | Dekani 4-1 Brežice | 2. SNL |
How many goals should we expect?
Brežice score 1.1 and concede 1.6 goals per match over their last 15; Dekani score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brežice | 1.1 | 1.6 | 3 | 8/15 | 8/15 |
| Dekani | 1.5 | 2.3 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Brežice sit 16th in 2. SNL (3 points from 10 matches) and Dekani sit 9th (15 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Dekani | 10 | 4 | 3 | 3 | 7 | 6 | 15 |
| 16 | Brežice | 10 | 0 | 3 | 7 | 10 | 20 | 3 |
A question about Brežice vs Dekani?
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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