Tavriya vs Trostianets: result 0-2 and analysis
Druha Liga - Group BGroup B - 8Kick-off on September 11, 2021 at 01:00 PM (UTC)Stadion Mashynobudivnyk, Beryslav
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What was the result of Tavriya vs Trostianets?
Trostianets won 0-2 on September 11, 2021.
Goalscorers
- 15′A. SlipukhinTrostianets
- 62′V. GayvanTrostianets
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tavriya have 8 wins, 5 draws and 2 defeats; Trostianets have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2021 | Metalurh Zaporizhya(away) | 1-2 | Druha Liga - Group B |
| Aug 31, 2021 | Nikopol(away) | 3-0 | Cup |
| Aug 27, 2021 | Balkany Zorya(home) | 1-1 | Druha Liga - Group B |
| Aug 22, 2021 | Nikopol(away) | 1-2 | Druha Liga - Group B |
| Aug 18, 2021 | MSK Dnipro Cherkasy(home) | 3-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2021 | Real Pharm(home) | 1-0 | Druha Liga - Group B |
| Aug 27, 2021 | Skoruk Tomakivka(away) | 2-3 | Druha Liga - Group B |
| Aug 23, 2021 | Metalurh Zaporizhya(away) | 0-1 | Druha Liga - Group B |
| Aug 14, 2021 | Balkany Zorya(home) | 1-2 | Druha Liga - Group B |
| Aug 8, 2021 | Nikopol(away) | 2-2 | Druha Liga - Group B |
How many goals should we expect?
Tavriya score 2.3 and concede 0.9 goals per match over their last 15; Trostianets score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tavriya | 2.3 | 0.9 | 5 | 10/15 | 9/15 |
| Trostianets | 1.1 | 1.4 | 1 | 5/8 | 4/8 |
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 Trostianets sit 7th (31 points from 19 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tavriya | 19 | 9 | 6 | 4 | 31 | 19 | 33 |
| 7 | Trostianets | 19 | 9 | 4 | 6 | 34 | 29 | 31 |
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