Gaj vs Bistra: result 1-0 and analysis
Third NL - SrediteCenter - 10Kick-off on October 27, 2019 at 09:00 AM (UTC)Igralište NK Gaj Mače, Mače
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What was the result of Gaj vs Bistra?
Gaj won 1-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Gaj have 3 wins, 2 draws and 4 defeats; Bistra have 2, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 21, 2019 | Vrapče Zagreb(away) | 2-1 | Third NL - Sredite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Ponikve(home) | 3-0 | Third NL - Sredite |
| Oct 12, 2019 | HAŠK(away) | 0-0 | Third NL - Sredite |
| Oct 6, 2019 | Špansko Zagreb(home) | 1-1 | Third NL - Sredite |
| Sep 28, 2019 | Mladost Petrinja(away) | 1-1 | Third NL - Sredite |
| Sep 22, 2019 | Trnje(away) | 1-1 | Third NL - Sredite |
How many goals should we expect?
Gaj score 1.1 and concede 1.4 goals per match over their last 9; Bistra score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gaj | 1.1 | 1.4 | 2 | 6/9 | 6/9 |
| Bistra | 1.0 | 1.1 | 2 | 5/9 | 3/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Gaj sit 10th in Third NL - Sredite (17 points from 15 matches) and Bistra sit 4th (28 points from 15 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bistra | 15 | 9 | 1 | 5 | 22 | 23 | 28 |
| 10 | Gaj | 15 | 5 | 2 | 8 | 16 | 20 | 17 |
A question about Gaj vs Bistra?
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