AFSK Kyiv vs MSK Dnipro Cherkasy: result 0-3 and analysis
Druha LigaGroup A - 16Kick-off on October 31, 2021 at 11:00 AM (UTC)Stadion AFSC Kyiv, Kyiv
Full time
What was the result of AFSK Kyiv vs MSK Dnipro Cherkasy?
MSK Dnipro Cherkasy won 0-3 on October 31, 2021.
Goalscorers
- 33′K. BystrytskyiMSK Dnipro Cherkasy
- 37′Viktor MartyanMSK Dnipro Cherkasy (pen.)
- 83′Yaroslav SaviskoMSK Dnipro Cherkasy
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFSK Kyiv have 1 wins, 5 draws and 9 defeats; MSK Dnipro Cherkasy have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Rubikon(home) | 1-1 | Druha Liga |
| Oct 10, 2021 | Munkács(away) | 0-2 | Druha Liga |
| Oct 6, 2021 | Chayka(away) | 1-1 | Druha Liga |
| Oct 2, 2021 | Lyubomyr Stavyshche(home) | 2-1 | Druha Liga |
| Sep 27, 2021 | Epitsentr Dunayivtsi(away) | 0-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2021 | Rubikon(away) | 3-0 | Druha Liga |
| Oct 6, 2021 | Munkács(away) | 1-2 | Druha Liga |
| Oct 2, 2021 | Chayka(home) | 1-3 | Druha Liga |
| Sep 26, 2021 | Lyubomyr Stavyshche(away) | 4-1 | Druha Liga |
| Sep 17, 2021 | Epitsentr Dunayivtsi(home) | 1-3 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 AFSK Kyiv win(s), 1 draw(s), 0 MSK Dnipro Cherkasy win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 25, 2021 | MSK Dnipro Cherkasy 1-1 AFSK Kyiv | Druha Liga |
Last archived meeting: MSK Dnipro Cherkasy vs AFSK Kyiv on Jul 25, 2021
How many goals should we expect?
AFSK Kyiv score 0.5 and concede 1.9 goals per match over their last 15; MSK Dnipro Cherkasy score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFSK Kyiv | 0.5 | 1.9 | 2 | 6/15 | 7/15 |
| MSK Dnipro Cherkasy | 1.4 | 2.0 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
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