Mladost Petrinja vs HAŠK: result 2-0 and analysis
Third NL - SrediteCenter - 10Kick-off on October 26, 2019 at 01:00 PM (UTC)Gradski stadion, Petrinja
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What was the result of Mladost Petrinja vs HAŠK?
Mladost Petrinja won 2-0 on October 26, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Mladost Petrinja have 5 wins, 2 draws and 4 defeats; HAŠK have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 28, 2019 | Bistra(home) | 1-1 | Third NL - Sredite |
| Sep 25, 2019 | HNK Hajduk Split(home) | 0-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Špansko Zagreb(away) | 1-0 | Third NL - Sredite |
| Oct 12, 2019 | Bistra(home) | 0-0 | Third NL - Sredite |
| Oct 6, 2019 | Trnje(away) | 1-0 | Third NL - Sredite |
| Sep 28, 2019 | Jarun(home) | 0-5 | Third NL - Sredite |
| Sep 21, 2019 | Maksimir Zagreb(away) | 0-3 | Third NL - Sredite |
How many goals should we expect?
Mladost Petrinja score 1.7 and concede 1.8 goals per match over their last 11; HAŠK score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mladost Petrinja | 1.7 | 1.8 | 2 | 7/11 | 8/11 |
| HAŠK | 0.9 | 1.7 | 4 | 3/9 | 5/9 |
Over the last 11 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 HAŠK sit 13th (15 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | HAŠK | 15 | 4 | 3 | 8 | 21 | 26 | 15 |
| 14 | Mladost Petrinja | 15 | 3 | 5 | 7 | 20 | 32 | 14 |
A question about Mladost Petrinja vs HAŠK?
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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