Match

Špansko Zagreb vs Mladost Petrinja: result 0-3 and analysis

Third NL - SrediteCenter - 20Kick-off on April 3, 2021 at 02:30 PM (UTC)Stadion NK Špansko, Zagreb

Špansko Zagreb
0-3
Mladost Petrinja

Full time

What was the result of Špansko Zagreb vs Mladost Petrinja?

Mladost Petrinja won 0-3 on April 3, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Špansko Zagreb have 6 wins, 3 draws and 6 defeats; Mladost Petrinja have 4, 2 and 9.

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

Špansko Zagreb
DateOpponentScoreCompetition
Mar 27, 2021Jarun(away)2-2Third NL - Sredite
Mar 20, 2021Vrapče Zagreb(home)2-1Third NL - Sredite
Mar 13, 2021Trnje(home)1-2Third NL - Sredite
Nov 21, 2020Karlovac(away)2-0Third NL - Sredite
Nov 18, 2020Kurilovec(home)0-1Third NL - Sredite
Mladost Petrinja
DateOpponentScoreCompetition
Mar 27, 2021Zagorec(home)2-1Third NL - Sredite
Mar 24, 2021Karlovac(home)0-1Third NL - Sredite
Mar 20, 2021Vrbovec(away)3-1Third NL - Sredite
Mar 17, 2021Jarun(away)0-7Third NL - Sredite
Mar 13, 2021Maksimir Zagreb(away)2-4Third NL - Sredite

What does the head-to-head say?

Across the last 2 meetings: 0 Špansko Zagreb wins, 0 draws, 2 Mladost Petrinja wins.

DateScoreCompetition
Sep 5, 2020Mladost Petrinja 3-0 Špansko ZagrebThird NL - Sredite
Oct 12, 2019Mladost Petrinja 4-1 Špansko ZagrebThird NL - Sredite

Last archived meeting: Mladost Petrinja vs Špansko Zagreb on Sep 5, 2020

How many goals should we expect?

Špansko Zagreb score 1.4 and concede 1.3 goals per match over their last 15; Mladost Petrinja score 0.9 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Špansko Zagreb1.41.3310/158/15
Mladost Petrinja0.92.036/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
14Mladost Petrinja15357203214

A question about Špansko Zagreb vs Mladost Petrinja?

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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