Peremoga vs Mykolaiv II: result 3-1 and analysis
Druha Liga - Group BGroup B - 10Kick-off on November 8, 2020 at 12:00 PM (UTC)Stadion Trudovi rezervy, Dnipropetrovs'k
Full time
What was the result of Peremoga vs Mykolaiv II?
Peremoga won 3-1 on November 8, 2020.
Goalscorers
- 12′Maksym SurzhenkoMykolaiv II
- 44′Mykola DibrivnyiPeremoga
- 90′Kyrylo PavlyukPeremoga
- 90′Artem PylypenkoPeremoga
What is the recent form of both teams?
Over their last 9 matches in all competitions, Peremoga have 2 wins, 5 draws and 2 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 |
|---|---|---|---|
| Oct 24, 2020 | Nikopol(away) | 1-1 | Druha Liga - Group B |
| Oct 18, 2020 | Real Pharm(home) | 2-0 | Druha Liga - Group B |
| Oct 10, 2020 | MSK Dnipro Cherkasy(away) | 1-1 | Druha Liga - Group B |
| Oct 4, 2020 | Cherkashchyna-Akademiya(home) | 1-1 | Druha Liga - Group B |
| Sep 25, 2020 | Metal Kharkiv(away) | 0-2 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 10, 2020 | Cherkashchyna-Akademiya(away) | 0-2 | Druha Liga - Group B |
| Oct 3, 2020 | Metal Kharkiv(home) | 0-2 | Druha Liga - Group B |
How many goals should we expect?
Peremoga score 0.7 and concede 0.8 goals per match over their last 9; Mykolaiv II score 0.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Peremoga | 0.7 | 0.8 | 4 | 3/9 | 0/9 |
| Mykolaiv II | 0.5 | 1.9 | 2 | 6/15 | 8/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Peremoga | 20 | 12 | 3 | 5 | 34 | 14 | 39 |
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