Krystal vs Skoruk Tomakivka: result 0-1 and analysis
Druha Liga - Group BGroup B - 7Kick-off on September 5, 2021 at 02:00 PM (UTC)Stadion Krystal, Kherson
Full time
What was the result of Krystal vs Skoruk Tomakivka?
Skoruk Tomakivka won 0-1 on September 5, 2021.
Goalscorers
- 66′V. KlymenkoSkoruk Tomakivka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krystal have 3 wins, 3 draws and 9 defeats; Skoruk Tomakivka have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2021 | Yarud Mariupol'(away) | 0-2 | Druha Liga - Group B |
| Aug 23, 2021 | SK Poltava(home) | 6-0 | Druha Liga - Group B |
| Aug 18, 2021 | Nikopol(away) | 0-2 | Cup |
| Aug 14, 2021 | Peremoga(away) | 0-5 | Druha Liga - Group B |
| Aug 8, 2021 | Sumy(home) | 0-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2021 | Metal Kharkiv(home) | 0-3 | Cup |
| Aug 27, 2021 | Trostianets(home) | 3-2 | Druha Liga - Group B |
| Aug 23, 2021 | Yarud Mariupol'(away) | 3-0 | Druha Liga - Group B |
| Aug 17, 2021 | Viktoriya Mykolaivka(home) | 4-2 | Cup |
| Aug 13, 2021 | Metalurh Zaporizhya(home) | 1-1 | Druha Liga - Group B |
How many goals should we expect?
Krystal score 1.0 and concede 1.9 goals per match over their last 15; Skoruk Tomakivka score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krystal | 1.0 | 1.9 | 2 | 6/15 | 8/15 |
| Skoruk Tomakivka | 1.6 | 1.2 | 3 | 4/9 | 5/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Krystal sit 15th in Druha Liga - Group B (9 points from 20 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 |
| 15 | Krystal | 20 | 2 | 3 | 15 | 19 | 36 | 9 |
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