Jarun vs Zagorec: result 5-0 and analysis
Third NL - SrediteCenter - 1Kick-off on September 2, 2020 at 03:00 PM (UTC)Stadion Ivan Laljak-Ivić, Zaprešić
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What was the result of Jarun vs Zagorec?
Jarun won 5-0 on September 2, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jarun have 6 wins, 5 draws and 4 defeats; Zagorec have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Špansko Zagreb(away) | 3-2 | Third NL - Sredite |
| Jul 25, 2020 | Kurilovec(away) | 3-1 | Friendlies Clubs |
| Mar 7, 2020 | Mladost Petrinja(home) | 0-1 | Third NL - Sredite |
| Feb 29, 2020 | Maksimir Zagreb(home) | 3-1 | Third NL - Sredite |
| Nov 30, 2019 | Zagorec(home) | 1-1 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Mladost Petrinja(home) | 2-1 | Third NL - Sredite |
| Mar 7, 2020 | Bistra(home) | 2-1 | Third NL - Sredite |
| Feb 29, 2020 | Trnje(home) | 3-1 | Third NL - Sredite |
| Nov 30, 2019 | Jarun(away) | 1-1 | Third NL - Sredite |
| Nov 23, 2019 | Maksimir Zagreb(home) | 1-3 | Third NL - Sredite |
What does the head-to-head say?
In the last meeting: 0 Jarun wins, 1 draw, 0 Zagorec wins.
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2019 | Jarun 1-1 Zagorec | Third NL - Sredite |
How many goals should we expect?
Jarun score 1.9 and concede 1.4 goals per match over their last 15; Zagorec score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jarun | 1.9 | 1.4 | 2 | 12/15 | 9/15 |
| Zagorec | 1.4 | 1.3 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Zagorec | 15 | 8 | 3 | 4 | 25 | 16 | 27 |
A question about Jarun vs Zagorec?
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