Špansko Zagreb vs Trešnjevka: result 1-1 and analysis
Third NL - SrediteCenter - 11Kick-off on October 17, 2020 at 01:15 PM (UTC)Stadion NK Špansko, Zagreb
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What was the result of Špansko Zagreb vs Trešnjevka?
Špansko Zagreb and Trešnjevka drew 1-1 on October 17, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Špansko Zagreb have 4 wins, 3 draws and 8 defeats; Trešnjevka have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Ponikve(away) | 0-2 | Third NL - Sredite |
| Oct 7, 2020 | Bistra(home) | 2-1 | Third NL - Sredite |
| Oct 4, 2020 | Gaj(away) | 1-1 | Third NL - Sredite |
| Sep 26, 2020 | Zagorec(away) | 1-2 | Third NL - Sredite |
| Sep 19, 2020 | Vrbovec(home) | 2-0 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Zagorec(home) | 0-1 | Third NL - Sredite |
| Oct 7, 2020 | Vrbovec(away) | 2-2 | Third NL - Sredite |
| Oct 3, 2020 | Maksimir Zagreb(home) | 4-3 | Third NL - Sredite |
| Sep 26, 2020 | HAŠK(away) | 0-0 | Third NL - Sredite |
| Sep 19, 2020 | Mladost Petrinja(home) | 1-0 | Third NL - Sredite |
How many goals should we expect?
Špansko Zagreb score 1.2 and concede 1.6 goals per match over their last 15; Trešnjevka score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Špansko Zagreb | 1.2 | 1.6 | 2 | 10/15 | 9/15 |
| Trešnjevka | 0.9 | 1.4 | 3 | 3/10 | 4/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Trešnjevka | 15 | 4 | 5 | 6 | 18 | 21 | 17 |
A question about Špansko Zagreb vs Trešnjevka?
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