Ternopil' vs Bukovyna: result 0-2 and analysis
Persha LigaRegular Season - 2Kick-off on July 31, 2016 at 03:00 PM (UTC)Stadion Mis'kyj, Ternopil'
Full time
What was the result of Ternopil' vs Bukovyna?
Bukovyna won 0-2 on July 31, 2016.
Goalscorers
- 67′Dmytro SkoblovBukovyna
- 90′Y. PerinBukovyna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ternopil' have 0 wins, 5 draws and 10 defeats; Bukovyna have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2016 | Kobra(away) | 1-4 | Persha Liga |
| Jun 1, 2016 | Naftovyk-Ukrnafta(away) | 0-2 | Persha Liga |
| May 27, 2016 | Mykolaiv(home) | 0-1 | Persha Liga |
| May 21, 2016 | Desna(away) | 1-1 | Persha Liga |
| May 15, 2016 | Kramatorsk(home) | 1-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2016 | Veres Rivne(home) | 0-1 | Persha Liga |
| Jun 1, 2016 | Kolos Kovalivka(away) | 2-2 | Druha Liga |
| May 27, 2016 | Kremin'(home) | 0-0 | Druha Liga |
| May 20, 2016 | Barsa Sumy(away) | 1-0 | Druha Liga |
| May 15, 2016 | Myr(home) | 2-0 | Druha Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Ternopil' win(s), 1 draw(s), 0 Bukovyna win(s).
| Date | Score | Competition |
|---|---|---|
| May 1, 2015 | Ternopil' 1-1 Bukovyna | Persha Liga |
| Sep 20, 2014 | Bukovyna 1-2 Ternopil' | Persha Liga |
How many goals should we expect?
Ternopil' score 0.5 and concede 1.5 goals per match over their last 15; Bukovyna score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ternopil' | 0.5 | 1.5 | 2 | 6/15 | 4/15 |
| Bukovyna | 1.2 | 0.7 | 9 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Bukovyna | 30 | 26 | 3 | 1 | 74 | 21 | 81 |
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