Rogaška vs Beltinci: result 0-1 and analysis
2. SNLRegular Season - 11Kick-off on October 9, 2021 at 01:00 PM (UTC)Športni center Rogaška Slatina, Rogaška Slatina
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What was the result of Rogaška vs Beltinci?
Beltinci won 0-1 on October 9, 2021.
Goalscorers
- 58′Aleksandar ZeljkovićBeltinci
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rogaška have 8 wins, 2 draws and 5 defeats; Beltinci have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Krško(away) | 4-3 | 2. SNL |
| Sep 24, 2021 | Krka(away) | 1-0 | 2. SNL |
| Sep 19, 2021 | Gorica(home) | 1-3 | 2. SNL |
| Sep 11, 2021 | Ilirija(away) | 4-1 | 2. SNL |
| Sep 5, 2021 | Fužinar(home) | 0-0 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | Krka(home) | 1-1 | 2. SNL |
| Sep 25, 2021 | Gorica(away) | 1-1 | 2. SNL |
| Sep 18, 2021 | Ilirija(home) | 2-2 | 2. SNL |
| Sep 11, 2021 | Fužinar(away) | 1-2 | 2. SNL |
| Sep 5, 2021 | Brežice(home) | 3-2 | 2. SNL |
What does the head-to-head say?
Across the last 3 meetings: 1 Rogaška win(s), 0 draw(s), 2 Beltinci win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2019 | Beltinci 1-0 Rogaška | 2. SNL |
| Nov 24, 2018 | Rogaška 0-2 Beltinci | 2. SNL |
| Aug 12, 2018 | Beltinci 1-2 Rogaška | 2. SNL |
How many goals should we expect?
Rogaška score 1.8 and concede 1.5 goals per match over their last 15; Beltinci score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rogaška | 1.8 | 1.5 | 6 | 7/15 | 10/15 |
| Beltinci | 1.5 | 1.8 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Beltinci | 3 | 2 | 0 | 1 | 7 | 3 | 6 |
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