Mladost Petrinja vs Špansko Zagreb: result 4-1 and analysis
Third NL - SrediteCenter - 8Kick-off on October 12, 2019 at 01:30 PM (UTC)Gradski stadion, Petrinja
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What was the result of Mladost Petrinja vs Špansko Zagreb?
Mladost Petrinja won 4-1 on October 12, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Mladost Petrinja have 4 wins, 2 draws and 3 defeats; Špansko Zagreb have 1, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Vrbovec(away) | 0-3 | Third NL - Sredite |
| Sep 28, 2019 | Bistra(home) | 1-1 | Third NL - Sredite |
| Sep 25, 2019 | HNK Hajduk Split(home) | 0-2 | Cup |
| Sep 21, 2019 | Kurilovec(away) | 1-4 | Third NL - Sredite |
| Sep 14, 2019 | Trnje(home) | 2-2 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Bistra(away) | 1-1 | Third NL - Sredite |
| Sep 28, 2019 | Trnje(home) | 2-1 | Third NL - Sredite |
| Sep 21, 2019 | Jarun(away) | 1-1 | Third NL - Sredite |
| Sep 14, 2019 | Maksimir Zagreb(home) | 1-2 | Third NL - Sredite |
| Sep 7, 2019 | Zagorec(away) | 1-2 | Third NL - Sredite |
How many goals should we expect?
Mladost Petrinja score 1.6 and concede 1.7 goals per match over their last 9; Špansko Zagreb score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost Petrinja | 1.6 | 1.7 | 2 | 5/9 | 6/9 |
| Špansko Zagreb | 1.0 | 1.4 | 0 | 6/7 | 3/7 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Mladost Petrinja | 15 | 3 | 5 | 7 | 20 | 32 | 14 |
A question about Mladost Petrinja vs Špansko Zagreb?
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