Chayka vs Lokomotiv Kyiv: result 2-0 and analysis
Druha LigaRegular Season - 15Kick-off on October 27, 2023 at 11:00 AM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv
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What was the result of Chayka vs Lokomotiv Kyiv?
Chayka won 2-0 on October 27, 2023.
Goalscorers
- 3′V. DubileyChayka
- 73′B. SemenetsChayka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chayka have 9 wins, 2 draws and 4 defeats; Lokomotiv Kyiv have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2023 | Trostianets(home) | 3-0 | Druha Liga |
| Oct 11, 2023 | Nyva Vinnytsya(away) | 1-0 | Druha Liga |
| Oct 6, 2023 | VAST(home) | 5-1 | Druha Liga |
| Oct 1, 2023 | Skala 1911 Stryi(away) | 1-2 | Druha Liga |
| Sep 24, 2023 | Rukh Vynnyky II(home) | 2-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2023 | Kremin' II(home) | 3-1 | Druha Liga |
| Oct 16, 2023 | Karpaty II(home) | 1-1 | Druha Liga |
| Oct 5, 2023 | Trostianets(home) | 2-1 | Druha Liga |
| Sep 30, 2023 | Nyva Vinnytsya(away) | 1-2 | Druha Liga |
| Sep 22, 2023 | VAST(home) | 2-1 | Druha Liga |
How many goals should we expect?
Chayka score 1.8 and concede 1.0 goals per match over their last 15; Lokomotiv Kyiv score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 1.8 | 1.0 | 7 | 6/15 | 9/15 |
| Lokomotiv Kyiv | 0.9 | 1.9 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chayka sit 3rd in Druha Liga (57 points from 30 matches) and Lokomotiv Kyiv sit 1st (70 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Lokomotiv Kyiv | 30 | 22 | 4 | 4 | 65 | 16 | 70 |
| 3 | Chayka | 30 | 17 | 6 | 7 | 58 | 41 | 57 |
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