Papuk vs Mladost Ždralovi: result 1-1 and analysis
Third NL - SjeverNorth - 5Kick-off on September 19, 2020 at 02:00 PM (UTC)Igralište NK Papuk Orahovica, Orahovica
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What was the result of Papuk vs Mladost Ždralovi?
Papuk and Mladost Ždralovi drew 1-1 on September 19, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Papuk have 4 wins, 4 draws and 7 defeats; Mladost Ždralovi have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2020 | Polet(home) | 2-3 | Third NL - Sjever |
| Sep 12, 2020 | Virovitica(away) | 0-4 | Third NL - Sjever |
| Sep 9, 2020 | Kurilovec(away) | 0-4 | Cup |
| Sep 5, 2020 | Podravac Virje(home) | 2-1 | Third NL - Sjever |
| Aug 29, 2020 | Tehničar 1974(away) | 1-1 | Third NL - Sjever |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Graničar Đurđevac(home) | 6-1 | Third NL - Sjever |
| Sep 9, 2020 | Mladost Petrinja(home) | 3-1 | Cup |
| Sep 5, 2020 | Varteks Varaždin(away) | 8-0 | Third NL - Sjever |
| Sep 2, 2020 | Križevci(home) | 2-0 | Third NL - Sjever |
| Aug 29, 2020 | Rudar Mursko Središće(home) | 2-1 | Third NL - Sjever |
What does the head-to-head say?
In the last meeting: 0 Papuk wins, 1 draw, 0 Mladost Ždralovi wins.
| Date | Score | Competition |
|---|---|---|
| Oct 5, 2019 | Papuk 0-0 Mladost Ždralovi | Third NL - Sjever |
Last archived meeting: Papuk vs Mladost Ždralovi on Oct 5, 2019
How many goals should we expect?
Papuk score 1.5 and concede 2.1 goals per match over their last 15; Mladost Ždralovi score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Papuk | 1.5 | 2.1 | 2 | 10/15 | 10/15 |
| Mladost Ždralovi | 2.6 | 0.9 | 7 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Papuk vs Mladost Ždralovi?
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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