Maksimir Zagreb vs Gaj: result 3-0 and analysis
Third NL - SrediteCenter - 7Kick-off on October 5, 2019 at 01:30 PM (UTC)Stadion Oboj, Zagreb
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What was the result of Maksimir Zagreb vs Gaj?
Maksimir Zagreb won 3-0 on October 5, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Maksimir Zagreb have 4 wins, 0 draws and 3 defeats; Gaj have 2, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Ponikve(away) | 0-4 | Third NL - Sredite |
| Sep 21, 2019 | HAŠK(home) | 3-0 | Third NL - Sredite |
| Sep 14, 2019 | Špansko Zagreb(away) | 2-1 | Third NL - Sredite |
| Sep 7, 2019 | Bistra(home) | 3-0 | Third NL - Sredite |
| Sep 1, 2019 | Trnje(away) | 3-4 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Zagorec(home) | 1-2 | Third NL - Sredite |
| Sep 21, 2019 | Vrapče Zagreb(away) | 2-1 | Third NL - Sredite |
| Sep 15, 2019 | Vinogradar(home) | 1-2 | Third NL - Sredite |
| Sep 7, 2019 | Vrbovec(away) | 1-0 | Third NL - Sredite |
| Sep 1, 2019 | Kurilovec(home) | 1-1 | Third NL - Sredite |
How many goals should we expect?
Maksimir Zagreb score 2.0 and concede 2.1 goals per match over their last 7; Gaj score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maksimir Zagreb | 2.0 | 2.1 | 3 | 3/7 | 6/7 |
| Gaj | 1.3 | 1.3 | 1 | 5/6 | 4/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Maksimir Zagreb sit 15th in Third NL - Sredite (12 points from 15 matches) and Gaj sit 10th (17 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Gaj | 15 | 5 | 2 | 8 | 16 | 20 | 17 |
| 15 | Maksimir Zagreb | 15 | 3 | 3 | 9 | 13 | 27 | 12 |
A question about Maksimir Zagreb vs Gaj?
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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