Tavriya vs Mykolaiv: prediction and stats
Druha Liga - Group BGroup B - 18Kick-off on March 18, 2022 at 11:00 AM (UTC)Stadion Mashynobudivnyk, Beryslav
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tavriya have 8 wins, 3 draws and 4 defeats; Mykolaiv have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Nikopol(home) | 2-1 | Druha Liga - Group B |
| Nov 20, 2021 | Vovchansk(away) | 0-0 | Druha Liga - Group B |
| Nov 6, 2021 | Enerhiya Nova Kakhovka(away) | 2-0 | Druha Liga - Group B |
| Nov 1, 2021 | Krystal(home) | 3-1 | Druha Liga - Group B |
| Oct 23, 2021 | Yarud Mariupol'(home) | 1-0 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Real Pharm(home) | 1-1 | Druha Liga - Group B |
| Oct 31, 2021 | Trostianets(away) | 2-4 | Druha Liga - Group B |
| Oct 22, 2021 | Metalurh Zaporizhya(away) | 2-2 | Druha Liga - Group B |
| Oct 16, 2021 | Balkany Zorya(home) | 1-2 | Druha Liga - Group B |
| Oct 10, 2021 | Nikopol(away) | 1-1 | Druha Liga - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Tavriya win(s), 1 draw(s), 0 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2021 | Mykolaiv 2-2 Tavriya | Druha Liga - Group B |
How many goals should we expect?
Tavriya score 1.7 and concede 1.0 goals per match over their last 15; Mykolaiv score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tavriya | 1.7 | 1.0 | 6 | 7/15 | 9/15 |
| Mykolaiv | 1.9 | 1.5 | 3 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Tavriya sit 5th in Druha Liga - Group B (33 points from 19 matches) and Mykolaiv sit 8th (30 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tavriya | 19 | 9 | 6 | 4 | 31 | 19 | 33 |
| 8 | Mykolaiv | 17 | 8 | 6 | 3 | 35 | 24 | 30 |
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