Avanhard II vs Kryvbas KR: result 2-1 and analysis
Druha Liga - Group BGroup B - 11Kick-off on September 22, 2019 at 12:00 PM (UTC)Stadion Prapor, Kramatorsk
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What was the result of Avanhard II vs Kryvbas KR?
Avanhard II won 2-1 on September 22, 2019.
Goalscorers
- 6′Vladyslav BorodayAvanhard II
- 8′Andrii GrygorykKryvbas KR (pen.)
- 69′A. DedyaevAvanhard II
What is the recent form of both teams?
Over their last 9 matches in all competitions, Avanhard II have 0 wins, 2 draws and 7 defeats; Kryvbas KR have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Real Pharm(away) | 1-2 | Druha Liga - Group B |
| Sep 12, 2019 | Chornomorets II(home) | 0-1 | Druha Liga - Group B |
| Sep 8, 2019 | VPK-Ahro Shevchenkivka(away) | 1-5 | Druha Liga - Group B |
| Sep 4, 2019 | Tavriya(away) | 0-3 | Druha Liga - Group B |
| Aug 31, 2019 | Alians Lypova Dolyna(home) | 1-4 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2019 | Tavriya(home) | 3-0 | Druha Liga - Group B |
| Sep 14, 2019 | Alians Lypova Dolyna(away) | 2-3 | Druha Liga - Group B |
| Sep 8, 2019 | Nikopol(home) | 3-1 | Druha Liga - Group B |
| Sep 4, 2019 | Enerhiya Nova Kakhovka(away) | 2-0 | Druha Liga - Group B |
| Aug 24, 2019 | Krystal(away) | 0-1 | Druha Liga - Group B |
How many goals should we expect?
Avanhard II score 0.7 and concede 2.2 goals per match over their last 9; Kryvbas KR score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Avanhard II | 0.7 | 2.2 | 1 | 6/9 | 6/9 |
| Kryvbas KR | 1.9 | 1.2 | 5 | 8/15 | 10/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kryvbas KR | 22 | 15 | 5 | 2 | 53 | 15 | 50 |
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