HAŠK vs Kurilovec: result 0-0 and analysis
Third NL - SrediteCenter - 15Kick-off on November 30, 2019 at 12:30 PM (UTC)ŠRC Peščenica, Zagreb
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What was the result of HAŠK vs Kurilovec?
HAŠK and Kurilovec drew 0-0 on November 30, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, HAŠK have 4 wins, 2 draws and 8 defeats; Kurilovec have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Lucko(away) | 1-0 | Third NL - Sredite |
| Nov 17, 2019 | Dugo Selo(home) | 1-2 | Third NL - Sredite |
| Nov 10, 2019 | Gaj(away) | 1-6 | Third NL - Sredite |
| Nov 2, 2019 | Ponikve(home) | 1-2 | Third NL - Sredite |
| Oct 26, 2019 | Mladost Petrinja(away) | 0-2 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Špansko Zagreb(home) | 1-1 | Third NL - Sredite |
| Nov 17, 2019 | Bistra(away) | 2-1 | Third NL - Sredite |
| Nov 9, 2019 | Trnje(home) | 1-2 | Third NL - Sredite |
| Nov 2, 2019 | Jarun(away) | 4-3 | Third NL - Sredite |
| Oct 26, 2019 | Maksimir Zagreb(home) | 3-0 | Third NL - Sredite |
How many goals should we expect?
HAŠK score 0.9 and concede 1.9 goals per match over their last 14; Kurilovec score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HAŠK | 0.9 | 1.9 | 5 | 6/14 | 8/14 |
| Kurilovec | 1.9 | 1.3 | 3 | 12/15 | 9/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
HAŠK sit 13th in Third NL - Sredite (15 points from 15 matches) and Kurilovec sit 7th (22 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kurilovec | 15 | 6 | 4 | 5 | 19 | 14 | 22 |
| 13 | HAŠK | 15 | 4 | 3 | 8 | 21 | 26 | 15 |
A question about HAŠK vs Kurilovec?
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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