Žilina vs Podbrezová: result 2-0 and analysis
Super LigaRegular Season - 11Kick-off on October 6, 2018 at 03:00 PM (UTC)Štadión Pod Dubňom, Žilina
Full time
What was the result of Žilina vs Podbrezová?
Žilina won 2-0 on October 6, 2018.
Goalscorers
- 13′J. MihalíkŽilina (pen.)
- 65′F. KašaŽilina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Žilina have 8 wins, 1 draw and 6 defeats; Podbrezová have 5, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Zlaté Moravce(away) | 2-1 | Super Liga |
| Sep 22, 2018 | Senica(home) | 5-0 | Super Liga |
| Sep 15, 2018 | Spartak Trnava(away) | 2-1 | Super Liga |
| Sep 1, 2018 | Slovan Bratislava(home) | 0-1 | Super Liga |
| Aug 25, 2018 | Dunajska Streda(away) | 0-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | AS Trencin(home) | 2-0 | Super Liga |
| Sep 22, 2018 | Ružomberok(away) | 0-3 | Super Liga |
| Sep 15, 2018 | Nitra(home) | 3-2 | Super Liga |
| Sep 1, 2018 | Zemplín Michalovce(away) | 0-2 | Super Liga |
| Aug 25, 2018 | Sereď(away) | 2-1 | Super Liga |
How many goals should we expect?
Žilina score 1.6 and concede 1.4 goals per match over their last 15; Podbrezová score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Žilina | 1.6 | 1.4 | 3 | 10/15 | 11/15 |
| Podbrezová | 1.3 | 1.4 | 3 | 4/10 | 6/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Žilina sit 4th in Super Liga (22 points from 12 matches) and Podbrezová sit 5th (17 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žilina | 12 | 6 | 4 | 2 | 29 | 24 | 22 |
| 5 | Podbrezová | 12 | 5 | 2 | 5 | 18 | 21 | 17 |
A question about Žilina vs Podbrezová?
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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