Kulykiv vs Metal Kharkiv: result 2-1 and analysis
Persha LigaRegular Season - 1Kick-off on July 26, 2026 at 01:00 PM (UTC)Arena Kulykiv, Kulykiv
Full time
What was the result of Kulykiv vs Metal Kharkiv?
Kulykiv won 2-1 on July 26, 2026.
Goalscorers
- 61′D. PrykhodkoMetal Kharkiv
- 71′D. GaladeyKulykiv
- 72′S. KopylKulykiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kulykiv have 11 wins, 3 draws and 1 defeats; Metal Kharkiv have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 10, 2026 | Vilkhivtsi(away) | 2-0 | Druha Liga |
| May 6, 2026 | Uzhhorod(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2026 | Chornomorets(away) | 0-1 | Persha Liga |
| May 26, 2026 | Chernihiv(away) | 2-1 | Persha Liga |
| May 23, 2026 | UCSA(home) | 2-0 | Persha Liga |
| May 17, 2026 | Vorskla Poltava(away) | 1-1 | Persha Liga |
| May 9, 2026 | Podillya Khmelnytskyi(home) | 3-0 | Persha Liga |
How many goals should we expect?
Kulykiv score 2.1 and concede 0.4 goals per match over their last 15; Metal Kharkiv score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kulykiv | 2.1 | 0.4 | 11 | 4/15 | 8/15 |
| Metal Kharkiv | 1.1 | 1.2 | 3 | 7/15 | 8/15 |
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 Metal Kharkiv sit 7th (6 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kulykiv | 4 | 2 | 1 | 1 | 6 | 5 | 7 |
| 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