Yarud Mariupol' vs Mykolaiv II: result 1-1 and analysis
Druha Liga - Group BGroup B - 13Kick-off on March 19, 2021 at 10:00 AM (UTC)Stadion SKIF, Lviv
Full time
What was the result of Yarud Mariupol' vs Mykolaiv II?
Yarud Mariupol' and Mykolaiv II drew 1-1 on March 19, 2021.
Goalscorers
- 30′D. FalkovskyiMykolaiv II
- 45′H. LityukYarud Mariupol' (pen.)
What is the recent form of both teams?
Over their last 10 matches in all competitions, Yarud Mariupol' have 1 wins, 2 draws and 7 defeats; Mykolaiv II have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2020 | Cherkashchyna-Akademiya(away) | 0-1 | Druha Liga - Group B |
| Nov 11, 2020 | Kryvbas KR(away) | 1-5 | Druha Liga - Group B |
| Nov 6, 2020 | Real Pharm(away) | 2-1 | Druha Liga - Group B |
| Oct 31, 2020 | MSK Dnipro Cherkasy(home) | 2-2 | Druha Liga - Group B |
| Oct 16, 2020 | Metal Kharkiv(home) | 0-3 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2020 | Tavriya(home) | 0-3 | Druha Liga - Group B |
| Nov 8, 2020 | Peremoga(away) | 1-3 | Druha Liga - Group B |
| Oct 30, 2020 | Nikopol(away) | 1-0 | Druha Liga - Group B |
| Oct 24, 2020 | Real Pharm(away) | 1-2 | Druha Liga - Group B |
| Oct 17, 2020 | MSK Dnipro Cherkasy(home) | 1-2 | Druha Liga - Group B |
How many goals should we expect?
Yarud Mariupol' score 0.8 and concede 2.6 goals per match over their last 10; Mykolaiv II score 0.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yarud Mariupol' | 0.8 | 2.6 | 0 | 6/10 | 8/10 |
| Mykolaiv II | 0.6 | 1.8 | 2 | 7/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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