Zlaté Moravce vs Žilina: result 1-2 and analysis
Super LigaRegular Season - 10Kick-off on September 29, 2018 at 05:00 PM (UTC)Štadión FC ViOn, Zlaté Moravce
Full time
What was the result of Zlaté Moravce vs Žilina?
Žilina won 1-2 on September 29, 2018.
Goalscorers
- 14′José David Casado GarcíaZlaté Moravce
- 38′M. KáčerŽilina
- 40′J. HolúbekŽilina
What is the recent form of both teams?
Over their last 9 matches in all competitions, Zlaté Moravce have 2 wins, 1 draw and 6 defeats; Žilina have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | AS Trencin(away) | 0-1 | Super Liga |
| Sep 15, 2018 | Ružomberok(home) | 1-1 | Super Liga |
| Sep 1, 2018 | Nitra(away) | 1-4 | Super Liga |
| Aug 25, 2018 | Zemplín Michalovce(home) | 2-0 | Super Liga |
| Aug 18, 2018 | Podbrezová(away) | 0-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 21, 2018 | Zemplín Michalovce(away) | 1-0 | Super Liga |
How many goals should we expect?
Zlaté Moravce score 1.0 and concede 1.8 goals per match over their last 9; Žilina score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zlaté Moravce | 1.0 | 1.8 | 2 | 3/9 | 4/9 |
| Žilina | 1.6 | 1.3 | 4 | 9/15 | 10/15 |
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 | Žilina | 13 | 7 | 4 | 2 | 33 | 25 | 25 |
A question about Zlaté Moravce vs Žilina?
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