Špansko Zagreb vs Gaj: result 2-1 and analysis
Third NL - SrediteCenter - 11Kick-off on November 2, 2019 at 01:00 PM (UTC)Stadion NK Špansko, Zagreb
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What was the result of Špansko Zagreb vs Gaj?
Špansko Zagreb won 2-1 on November 2, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Špansko Zagreb have 1 win, 4 draws and 5 defeats; Gaj have 4, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Ponikve(away) | 1-1 | Third NL - Sredite |
| Oct 19, 2019 | HAŠK(home) | 0-1 | Third NL - Sredite |
| Oct 12, 2019 | Mladost Petrinja(away) | 1-4 | Third NL - Sredite |
| Oct 6, 2019 | Bistra(away) | 1-1 | Third NL - Sredite |
| Sep 28, 2019 | Trnje(home) | 2-1 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Bistra(home) | 1-0 | Third NL - Sredite |
| Oct 20, 2019 | Trnje(away) | 1-0 | Third NL - Sredite |
| Oct 13, 2019 | Jarun(home) | 1-2 | Third NL - Sredite |
| Oct 5, 2019 | Maksimir Zagreb(away) | 0-3 | Third NL - Sredite |
| Sep 29, 2019 | Zagorec(home) | 1-2 | Third NL - Sredite |
How many goals should we expect?
Špansko Zagreb score 0.9 and concede 1.6 goals per match over their last 10; Gaj score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Špansko Zagreb | 0.9 | 1.6 | 0 | 8/10 | 4/10 |
| Gaj | 1.1 | 1.3 | 3 | 6/10 | 6/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Gaj | 15 | 5 | 2 | 8 | 16 | 20 | 17 |
A question about Špansko Zagreb vs Gaj?
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