Metal Kharkiv vs UCSA: result 0-2 and analysis
Persha LigaChampionship Round - 3Kick-off on April 18, 2025 at 09:00 AM (UTC)Stadion Avanhard, Uzhhorod
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What was the result of Metal Kharkiv vs UCSA?
UCSA won 0-2 on April 18, 2025.
Goalscorers
- 33′M. SytnykovUCSA
- 52′Yevhen SelinUCSA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metal Kharkiv have 7 wins, 5 draws and 3 defeats; UCSA have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2025 | Kudrivka(away) | 1-1 | Persha Liga |
| Apr 6, 2025 | Metalist 1925 Kharkiv(home) | 1-0 | Persha Liga |
| Nov 23, 2024 | Prykarpattia(away) | 2-1 | Persha Liga |
| Nov 16, 2024 | Minai(home) | 3-0 | Persha Liga |
| Nov 9, 2024 | Bukovyna(away) | 1-2 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2025 | Ahrobiznes Volochysk(home) | 0-0 | Persha Liga |
| Apr 5, 2025 | Epitsentr Dunayivtsi(away) | 3-4 | Persha Liga |
| Jan 26, 2025 | Metalist 1925 Kharkiv(home) | 1-3 | Friendlies Clubs |
| Nov 27, 2024 | Viktoriya Mykolaivka(away) | 1-5 | Persha Liga |
| Nov 17, 2024 | Metalurh Zaporizhya(home) | 2-2 | Persha Liga |
How many goals should we expect?
Metal Kharkiv score 1.4 and concede 0.7 goals per match over their last 15; UCSA score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metal Kharkiv | 1.4 | 0.7 | 6 | 7/15 | 6/15 |
| UCSA | 1.7 | 1.8 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Metal Kharkiv sit 7th in Persha Liga (6 points from 4 matches) and UCSA sit 6th (6 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | UCSA | 4 | 1 | 3 | 0 | 7 | 6 | 6 |
| 7 | Metal Kharkiv | 4 | 2 | 0 | 2 | 5 | 5 | 6 |
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