Sp. Subotica U19 vs Brodarac U19: result 1-2 and analysis
U19 leagueRegular Season - 5Kick-off on September 6, 2026 at 03:00 PM (UTC)
Full time
What was the result of Sp. Subotica U19 vs Brodarac U19?
Brodarac U19 won 1-2 on September 6, 2026.
What is the recent form of both teams?
Over their last 4 matches in all competitions, Sp. Subotica U19 have 0 wins, 0 draws and 4 defeats; Brodarac U19 have 1, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2026 | Novi Pazar U19(away) | 2-3 | U19 league |
| Aug 26, 2026 | Usce U19(away) | 2-5 | U19 league |
| Aug 22, 2026 | Vozdovac U19(home) | 1-2 | U19 league |
| Aug 16, 2026 | Vojvodina U19(away) | 0-5 | U19 league |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2026 | Usce U19(home) | 2-5 | U19 league |
| Aug 26, 2026 | Vozdovac U19(away) | 0-3 | U19 league |
| Aug 22, 2026 | Vojvodina U19(home) | 1-3 | U19 league |
| Aug 15, 2026 | Crvena Zvezda U18(away) | 0-5 | U19 league |
| Oct 23, 2019 | Stade Rennes U19(home) | 0-0 | UEFA Youth League |
How many goals should we expect?
Sp. Subotica U19 score 1.3 and concede 3.8 goals per match over their last 4; Brodarac U19 score 0.8 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sp. Subotica U19 | 1.3 | 3.8 | 0 | 3/4 | 4/4 |
| Brodarac U19 | 0.8 | 2.2 | 2 | 6/11 | 6/11 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Sp. Subotica U19 sit 10th in U19 league (15 points from 12 matches) and Brodarac U19 sit 11th (14 points from 13 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sp. Subotica U19 | 12 | 5 | 0 | 7 | 22 | 29 | 15 |
| 11 | Brodarac U19 | 13 | 4 | 2 | 7 | 23 | 39 | 14 |
A question about Sp. Subotica U19 vs Brodarac U19?
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