Krystal vs VPK-Ahro Shevchenkivka: result 3-2 and analysis
Druha Liga - Group BGroup B - 7Kick-off on September 4, 2019 at 02:00 PM (UTC)Stadion Krystal, Kherson
Full time
What was the result of Krystal vs VPK-Ahro Shevchenkivka?
Krystal won 3-2 on September 4, 2019.
Goalscorers
- 45′S. MalyshKrystal
- 60′Mykola ZhovtyukKrystal
- 69′B. ShmygelskyiVPK-Ahro Shevchenkivka
- 90′Mykhailo VasilyevVPK-Ahro Shevchenkivka
- 90′Ivan GlyvyiKrystal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krystal have 8 wins, 3 draws and 4 defeats; VPK-Ahro Shevchenkivka have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Mykolaiv II(away) | 7-1 | Druha Liga - Group B |
| Aug 24, 2019 | Kryvbas KR(home) | 1-0 | Druha Liga - Group B |
| Aug 20, 2019 | Dinaz Vyshhorod(home) | 2-2 | Cup |
| Aug 16, 2019 | Real Pharm(away) | 5-0 | Druha Liga - Group B |
| Aug 10, 2019 | Chornomorets II(home) | 2-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Tavriya(home) | 3-0 | Druha Liga - Group B |
| Aug 24, 2019 | Mykolaiv II(away) | 1-1 | Druha Liga - Group B |
| Aug 20, 2019 | Kalush(away) | 0-1 | Cup |
| Aug 16, 2019 | Alians Lypova Dolyna(home) | 1-0 | Druha Liga - Group B |
| Aug 11, 2019 | Kryvbas KR(away) | 0-1 | Druha Liga - Group B |
How many goals should we expect?
Krystal score 1.9 and concede 0.7 goals per match over their last 15; VPK-Ahro Shevchenkivka score 1.4 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krystal | 1.9 | 0.7 | 8 | 3/15 | 6/15 |
| VPK-Ahro Shevchenkivka | 1.4 | 0.4 | 4 | 1/7 | 2/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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