Mykolaiv II vs Kryvbas KR: result 0-3 and analysis
Druha Liga - Group BRegular Season - 7Kick-off on September 2, 2018 at 02:30 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv II vs Kryvbas KR?
Kryvbas KR won 0-3 on September 2, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv II have 4 wins, 5 draws and 6 defeats; Kryvbas KR have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2018 | Real Pharm(away) | 1-1 | Druha Liga - Group B |
| Aug 16, 2018 | Tavriya(home) | 0-0 | Druha Liga - Group B |
| Aug 11, 2018 | Nikopol(away) | 3-2 | Druha Liga - Group B |
| Aug 4, 2018 | Kremin'(home) | 1-1 | Druha Liga - Group B |
| Jul 28, 2018 | Metalurh Zaporizhya(away) | 0-4 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2018 | Krystal(home) | 1-0 | Druha Liga - Group B |
| Aug 22, 2018 | Lebedin(away) | 2-2 | Cup |
| Aug 18, 2018 | Enerhiya Nova Kakhovka(away) | 0-2 | Druha Liga - Group B |
| Aug 11, 2018 | Myr(home) | 3-2 | Druha Liga - Group B |
| Aug 4, 2018 | Metalurh Zaporizhya(home) | 3-1 | Druha Liga - Group B |
How many goals should we expect?
Mykolaiv II score 1.4 and concede 1.7 goals per match over their last 15; Kryvbas KR score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv II | 1.4 | 1.7 | 3 | 7/15 | 8/15 |
| Kryvbas KR | 1.4 | 1.3 | 6 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mykolaiv II sit 12th in Druha Liga - Group B (8 points from 22 matches) and Kryvbas KR sit 2nd (50 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kryvbas KR | 22 | 15 | 5 | 2 | 53 | 15 | 50 |
| 12 | Mykolaiv II | 22 | 1 | 5 | 16 | 13 | 51 | 8 |
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