UCSA vs Prykarpattia: result 3-1 and analysis
Persha LigaRegular Season - 10Kick-off on October 9, 2025 at 09:00 AM (UTC)Stadion Yuvilejnyj, Bucha
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What was the result of UCSA vs Prykarpattia?
UCSA won 3-1 on October 9, 2025.
Goalscorers
- 10′M. SytnykovUCSA
- 48′V. GuerreiroUCSA
- 49′A. KhomaPrykarpattia
- 85′S. LebedevUCSA
What is the recent form of both teams?
Over their last 15 matches in all competitions, UCSA have 2 wins, 4 draws and 9 defeats; Prykarpattia have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Viktoriya Mykolaivka(away) | 0-2 | Persha Liga |
| Sep 27, 2025 | Probiy Horodenka(home) | 0-0 | Persha Liga |
| Sep 19, 2025 | Ahrobiznes Volochysk(away) | 0-1 | Persha Liga |
| Sep 14, 2025 | Inhulets(home) | 0-0 | Persha Liga |
| Sep 7, 2025 | Metalurh Zaporizhya(away) | 3-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2025 | Vorskla Poltava(home) | 1-0 | Persha Liga |
| Sep 22, 2025 | Nyva Ternopil(home) | 1-1 | Persha Liga |
| Sep 13, 2025 | Metal Kharkiv(away) | 2-2 | Persha Liga |
| Sep 5, 2025 | Bukovyna(home) | 1-2 | Persha Liga |
| Aug 29, 2025 | Livyi Bereh(away) | 1-2 | Persha Liga |
How many goals should we expect?
UCSA score 0.5 and concede 1.3 goals per match over their last 15; Prykarpattia score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UCSA | 0.5 | 1.3 | 5 | 1/15 | 4/15 |
| Prykarpattia | 1.5 | 1.2 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
UCSA sit 6th in Persha Liga (6 points from 4 matches) and Prykarpattia sit 9th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | UCSA | 4 | 1 | 3 | 0 | 7 | 6 | 6 |
| 9 | Prykarpattia | 4 | 1 | 1 | 2 | 6 | 5 | 4 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy