Mykolaiv vs Skoruk Tomakivka: result 2-0 and analysis
Druha Liga - Group BGroup B - 11Kick-off on October 1, 2021 at 01:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv vs Skoruk Tomakivka?
Mykolaiv won 2-0 on October 1, 2021.
Goalscorers
- 8′Serhii KravchenkoMykolaiv
- 50′Serhii KravchenkoMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 7 wins, 5 draws and 3 defeats; Skoruk Tomakivka have 8, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Enerhiya Nova Kakhovka(away) | 3-2 | Druha Liga - Group B |
| Sep 21, 2021 | Ruh Lviv(home) | 0-3 | Cup |
| Sep 17, 2021 | Krystal(home) | 2-1 | Druha Liga - Group B |
| Sep 11, 2021 | Yarud Mariupol'(away) | 2-2 | Druha Liga - Group B |
| Sep 6, 2021 | SK Poltava(home) | 1-2 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Tavriya(home) | 2-0 | Druha Liga - Group B |
| Sep 18, 2021 | Enerhiya Nova Kakhovka(away) | 0-0 | Druha Liga - Group B |
| Sep 11, 2021 | Real Pharm(home) | 4-0 | Druha Liga - Group B |
| Sep 5, 2021 | Krystal(away) | 1-0 | Druha Liga - Group B |
| Sep 1, 2021 | Metal Kharkiv(home) | 0-3 | Cup |
How many goals should we expect?
Mykolaiv score 2.0 and concede 1.4 goals per match over their last 15; Skoruk Tomakivka score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 2.0 | 1.4 | 1 | 12/15 | 11/15 |
| Skoruk Tomakivka | 1.6 | 0.8 | 7 | 4/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mykolaiv sit 8th in Druha Liga - Group B (30 points from 17 matches) and Skoruk Tomakivka sit 2nd (41 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Skoruk Tomakivka | 20 | 12 | 5 | 3 | 33 | 14 | 41 |
| 8 | Mykolaiv | 17 | 8 | 6 | 3 | 35 | 24 | 30 |
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