Mykolaiv vs SK Poltava: result 1-2 and analysis
Druha Liga - Group BGroup B - 7Kick-off on September 6, 2021 at 02:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv vs SK Poltava?
SK Poltava won 1-2 on September 6, 2021.
Goalscorers
- 34′Serhii KravchenkoMykolaiv
- 63′Y. StreltsovSK Poltava (pen.)
- 90′M. BuzhynSK Poltava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 9 wins, 5 draws and 1 defeats; SK Poltava have 2, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2021 | Vovchansk(home) | 4-1 | Cup |
| Aug 28, 2021 | Peremoga(away) | 2-1 | Druha Liga - Group B |
| Aug 22, 2021 | Sumy(home) | 4-0 | Druha Liga - Group B |
| Aug 18, 2021 | Kryvbas KR(home) | 1-1 | Cup |
| Aug 14, 2021 | Viktoriya Mykolaivka(away) | 3-1 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Enerhiya Nova Kakhovka(home) | 2-3 | Druha Liga - Group B |
| Aug 23, 2021 | Krystal(away) | 0-6 | Druha Liga - Group B |
| Aug 14, 2021 | Yarud Mariupol'(home) | 0-0 | Druha Liga - Group B |
| Aug 8, 2021 | Skoruk Tomakivka(home) | 1-2 | Druha Liga - Group B |
| Aug 4, 2021 | Livyi Bereh(away) | 0-1 | Cup |
How many goals should we expect?
Mykolaiv score 2.1 and concede 0.9 goals per match over their last 15; SK Poltava score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 2.1 | 0.9 | 4 | 10/15 | 8/15 |
| SK Poltava | 1.0 | 1.7 | 3 | 2/7 | 4/7 |
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 SK Poltava sit 6th (31 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | SK Poltava | 20 | 9 | 4 | 7 | 29 | 27 | 31 |
| 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