Maksimir Zagreb vs Mladost Petrinja: result 4-1 and analysis
Third NL - SrediteCenter - 15Kick-off on November 30, 2019 at 12:30 PM (UTC)Stadion Oboj, Zagreb
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What was the result of Maksimir Zagreb vs Mladost Petrinja?
Maksimir Zagreb won 4-1 on November 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Maksimir Zagreb have 7 wins, 3 draws and 5 defeats; Mladost Petrinja have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Zagorec(away) | 3-1 | Third NL - Sredite |
| Nov 17, 2019 | Vrapče Zagreb(home) | 2-2 | Third NL - Sredite |
| Nov 10, 2019 | Vinogradar(away) | 0-4 | Third NL - Sredite |
| Oct 31, 2019 | Vrbovec(home) | 3-1 | Third NL - Sredite |
| Oct 26, 2019 | Kurilovec(away) | 0-3 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Gaj(home) | 2-2 | Third NL - Sredite |
| Nov 17, 2019 | Zagorec(away) | 2-0 | Third NL - Sredite |
| Nov 9, 2019 | Ponikve(home) | 1-0 | Third NL - Sredite |
| Nov 2, 2019 | Vrapče Zagreb(away) | 1-0 | Third NL - Sredite |
| Oct 26, 2019 | HAŠK(home) | 2-0 | Third NL - Sredite |
How many goals should we expect?
Maksimir Zagreb score 1.7 and concede 1.8 goals per match over their last 15; Mladost Petrinja score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maksimir Zagreb | 1.7 | 1.8 | 5 | 7/15 | 12/15 |
| Mladost Petrinja | 1.6 | 1.3 | 6 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Maksimir Zagreb sit 15th in Third NL - Sredite (12 points from 15 matches) and Mladost Petrinja sit 14th (14 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Mladost Petrinja | 15 | 3 | 5 | 7 | 20 | 32 | 14 |
| 15 | Maksimir Zagreb | 15 | 3 | 3 | 9 | 13 | 27 | 12 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy