Match

Nitra vs Slovan Bratislava: result 1-2 and analysis

Super LigaRegular Season - 15Kick-off on November 11, 2018 at 02:00 PM (UTC)Štadión pod Zoborom, Nitra

Nitra
1-2
Slovan Bratislava

Full time

What was the result of Nitra vs Slovan Bratislava?

Slovan Bratislava won 1-2 on November 11, 2018.

Goalscorers

  • 37′A. ŠporarSlovan Bratislava (pen.)
  • 45′D. HolmanSlovan Bratislava
  • 46′A. FábryNitra

What is the recent form of both teams?

Over their last 14 matches in all competitions, Nitra have 4 wins, 3 draws and 7 defeats; Slovan Bratislava have 11, 3 and 1.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Nitra
DateOpponentScoreCompetition
Nov 3, 2018Dunajska Streda(away)0-1Super Liga
Oct 27, 2018Žilina(home)0-2Super Liga
Oct 20, 2018AS Trencin(away)1-0Super Liga
Oct 6, 2018Ružomberok(away)1-3Super Liga
Sep 29, 2018Sereď(away)1-2Super Liga
Slovan Bratislava
DateOpponentScoreCompetition
Nov 3, 2018Zemplín Michalovce(home)6-0Super Liga
Oct 27, 2018Podbrezová(away)2-0Super Liga
Oct 20, 2018Zlaté Moravce(home)3-1Super Liga
Oct 6, 2018Senica(home)2-2Super Liga
Sep 29, 2018Spartak Trnava(away)2-1Super Liga

What does the head-to-head say?

In the last meeting: 0 Nitra wins, 1 draw, 0 Slovan Bratislava wins.

DateScoreCompetition
Aug 12, 2018Slovan Bratislava 1-1 NitraSuper Liga

Last archived meeting: Slovan Bratislava vs Nitra on Aug 12, 2018

How many goals should we expect?

Nitra score 1.3 and concede 1.5 goals per match over their last 14; Slovan Bratislava score 2.3 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nitra1.31.5210/148/14
Slovan Bratislava2.31.2410/1511/15

Over the last 14 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4Slovan Bratislava9522211017

A question about Nitra vs Slovan Bratislava?

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

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