SK Poltava vs Yarud Mariupol': result 0-0 and analysis
Druha Liga - Group BGroup B - 4Kick-off on August 14, 2021 at 03:00 PM (UTC)Stadion Lokomotiv, Poltava
Full time
What was the result of SK Poltava vs Yarud Mariupol'?
SK Poltava and Yarud Mariupol' drew 0-0 on August 14, 2021.
What is the recent form of both teams?
Over their last 4 matches in all competitions, SK Poltava have 2 wins, 0 draws and 2 defeats; Yarud Mariupol' have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2021 | Skoruk Tomakivka(home) | 1-2 | Druha Liga - Group B |
| Aug 4, 2021 | Livyi Bereh(away) | 0-1 | Cup |
| Jul 31, 2021 | Peremoga(away) | 1-0 | Druha Liga - Group B |
| Jul 25, 2021 | Sumy(home) | 3-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2021 | Peremoga(home) | 1-2 | Druha Liga - Group B |
| Jul 31, 2021 | Sumy(away) | 4-1 | Druha Liga - Group B |
| Jul 25, 2021 | Viktoriya Mykolaivka(home) | 3-3 | Druha Liga - Group B |
| Jun 28, 2021 | FC Mariupol(away) | 0-2 | Friendlies Clubs |
| Jun 9, 2021 | Mykolaiv II(away) | 1-0 | Druha Liga - Group B |
How many goals should we expect?
SK Poltava score 1.3 and concede 0.8 goals per match over their last 4; Yarud Mariupol' score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SK Poltava | 1.3 | 0.8 | 2 | 1/4 | 2/4 |
| Yarud Mariupol' | 1.5 | 1.7 | 3 | 7/15 | 9/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
SK Poltava sit 6th in Druha Liga - Group B (31 points from 20 matches) and Yarud Mariupol' sit 11th (24 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | SK Poltava | 20 | 9 | 4 | 7 | 29 | 27 | 31 |
| 11 | Yarud Mariupol' | 20 | 6 | 6 | 8 | 36 | 29 | 24 |
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