Usce U19 vs Mladost Lucani U19: result 2-1 and analysis
U19 leagueRegular Season - 7Kick-off on September 20, 2026 at 11:30 AM (UTC)
Full time
What was the result of Usce U19 vs Mladost Lucani U19?
Usce U19 won 2-1 on September 20, 2026.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Usce U19 have 3 wins, 0 draws and 3 defeats; Mladost Lucani U19 have 2, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2026 | OFK Beograd U19(away) | 4-2 | U19 league |
| Sep 5, 2026 | Cukaricki U19(home) | 1-3 | U19 league |
| Aug 31, 2026 | Brodarac U19(away) | 5-2 | U19 league |
| Aug 26, 2026 | Sp. Subotica U19(home) | 5-2 | U19 league |
| Aug 22, 2026 | Novi Pazar U19(away) | 0-1 | U19 league |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2026 | Vozdovac U19(home) | 2-2 | U19 league |
| Sep 4, 2026 | Vojvodina U19(away) | 1-3 | U19 league |
| Aug 31, 2026 | Crvena Zvezda U18(home) | 2-5 | U19 league |
| Aug 26, 2026 | Jedinstvo U. U19(away) | 4-2 | U19 league |
| Aug 21, 2026 | Partizan U19(home) | 4-0 | U19 league |
How many goals should we expect?
Usce U19 score 2.7 and concede 2.3 goals per match over their last 6; Mladost Lucani U19 score 2.2 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Usce U19 | 2.7 | 2.3 | 0 | 5/6 | 5/6 |
| Mladost Lucani U19 | 2.2 | 2.2 | 1 | 4/6 | 5/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Usce U19 sit 9th in U19 league (13 points from 10 matches) and Mladost Lucani U19 sit 7th (13 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Mladost Lucani U19 | 10 | 4 | 1 | 5 | 25 | 25 | 13 |
| 9 | Usce U19 | 10 | 4 | 1 | 5 | 23 | 28 | 13 |
A question about Usce U19 vs Mladost Lucani 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