Kulykiv vs Prykarpattia: result 2-1 and analysis
Persha LigaRegular Season - 3Kick-off on August 8, 2026 at 01:30 PM (UTC)Arena Kulykiv, Kulykiv
Full time
What was the result of Kulykiv vs Prykarpattia?
Kulykiv won 2-1 on August 8, 2026.
Goalscorers
- 58′V. SemotyukKulykiv
- 75′V. SemotyukKulykiv
- 90′O. KosPrykarpattia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kulykiv have 10 wins, 4 draws and 1 defeats; Prykarpattia have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2026 | Chernihiv(away) | 1-1 | Persha Liga |
| Jul 26, 2026 | Metal Kharkiv(home) | 2-1 | Persha Liga |
| May 31, 2026 | Lokomotiv Kyiv(away) | 2-1 | Druha Liga |
| May 22, 2026 | Real Pharm(away) | 3-0 | Druha Liga |
| May 16, 2026 | Bukovyna 2(home) | 2-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2026 | Lokomotiv Kyiv(home) | 2-2 | Persha Liga |
| Jul 26, 2026 | Kolos Kovalivka II(away) | 0-1 | Persha Liga |
| Jun 1, 2026 | Probiy Horodenka(away) | 3-0 | Persha Liga |
| May 23, 2026 | Ahrobiznes Volochysk(home) | 1-1 | Persha Liga |
| May 16, 2026 | Inhulets(away) | 0-0 | Persha Liga |
How many goals should we expect?
Kulykiv score 2.1 and concede 0.5 goals per match over their last 15; Prykarpattia score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kulykiv | 2.1 | 0.5 | 9 | 6/15 | 9/15 |
| Prykarpattia | 0.7 | 1.1 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kulykiv sit 4th in Persha Liga (7 points from 4 matches) and Prykarpattia sit 9th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kulykiv | 4 | 2 | 1 | 1 | 6 | 5 | 7 |
| 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