Mladost Petrinja vs Ponikve: result 1-0 and analysis
Third NL - SrediteCenter - 12Kick-off on November 9, 2019 at 12:30 PM (UTC)Gradski stadion, Petrinja
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What was the result of Mladost Petrinja vs Ponikve?
Mladost Petrinja won 1-0 on November 9, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Mladost Petrinja have 7 wins, 2 draws and 4 defeats; Ponikve have 3, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Vrapče Zagreb(away) | 1-0 | Third NL - Sredite |
| Oct 26, 2019 | HAŠK(home) | 2-0 | Third NL - Sredite |
| Oct 20, 2019 | Vinogradar(away) | 1-4 | Third NL - Sredite |
| Oct 12, 2019 | Špansko Zagreb(home) | 4-1 | Third NL - Sredite |
| Oct 5, 2019 | Vrbovec(away) | 0-3 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | HAŠK(away) | 2-1 | Third NL - Sredite |
| Oct 26, 2019 | Špansko Zagreb(home) | 1-1 | Third NL - Sredite |
| Oct 20, 2019 | Bistra(away) | 0-3 | Third NL - Sredite |
| Oct 12, 2019 | Trnje(home) | 1-1 | Third NL - Sredite |
| Oct 5, 2019 | Jarun(away) | 0-0 | Third NL - Sredite |
How many goals should we expect?
Mladost Petrinja score 1.7 and concede 1.5 goals per match over their last 13; Ponikve score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost Petrinja | 1.7 | 1.5 | 4 | 7/13 | 8/13 |
| Ponikve | 1.2 | 1.2 | 4 | 4/11 | 5/11 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Mladost Petrinja sit 14th in Third NL - Sredite (14 points from 15 matches) and Ponikve sit 8th (22 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Ponikve | 15 | 7 | 1 | 7 | 26 | 22 | 22 |
| 14 | Mladost Petrinja | 15 | 3 | 5 | 7 | 20 | 32 | 14 |
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