Skala 1911 Stryi vs Lokomotiv Kyiv: result 4-1 and analysis
Druha LigaRegular Season - 8Kick-off on September 17, 2023 at 10:30 AM (UTC)Stadion Sokil, Stryi
Full time
What was the result of Skala 1911 Stryi vs Lokomotiv Kyiv?
Skala 1911 Stryi won 4-1 on September 17, 2023.
Goalscorers
- 18′T. PuchkovskyiSkala 1911 Stryi
- 23′M. AveryanovSkala 1911 Stryi
- 25′T. PuchkovskyiSkala 1911 Stryi
- 74′B. IvanchenkoSkala 1911 Stryi
- 88′O. KozishkurtLokomotiv Kyiv
What is the recent form of both teams?
Over their last 7 matches in all competitions, Skala 1911 Stryi have 4 wins, 1 draws and 2 defeats; Lokomotiv Kyiv have 1, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2023 | Trostianets(home) | 1-0 | Druha Liga |
| Sep 2, 2023 | Nyva Vinnytsya(away) | 2-2 | Druha Liga |
| Aug 23, 2023 | Ruh Lviv(home) | 0-2 | Cup |
| Aug 16, 2023 | Nyva Ternopil(home) | 2-1 | Cup |
| Aug 13, 2023 | Rukh Vynnyky II(away) | 0-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2023 | Rukh Vynnyky II(home) | 0-1 | Druha Liga |
| Sep 8, 2023 | Kudrivka(away) | 0-3 | Druha Liga |
| Sep 3, 2023 | Druzhba(home) | 2-3 | Druha Liga |
| Aug 27, 2023 | Zvyahel(away) | 0-4 | Druha Liga |
| Aug 20, 2023 | Metalurh Zaporizhya II(home) | 0-2 | Druha Liga |
How many goals should we expect?
Skala 1911 Stryi score 2.0 and concede 1.7 goals per match over their last 7; Lokomotiv Kyiv score 0.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skala 1911 Stryi | 2.0 | 1.7 | 1 | 4/7 | 4/7 |
| Lokomotiv Kyiv | 0.4 | 2.1 | 2 | 2/9 | 4/9 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Skala 1911 Stryi | 2 | 0 | 1 | 1 | 3 | 5 | 1 |
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