Ternopil' vs Mykolaiv: result 0-1 and analysis
Persha LigaRegular Season - 29Kick-off on May 27, 2016 at 02:00 PM (UTC)Stadion Mis'kyj, Ternopil'
Full time
What was the result of Ternopil' vs Mykolaiv?
Mykolaiv won 0-1 on May 27, 2016.
Goalscorers
- 46′Ihor SikorskyiMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ternopil' have 2 wins, 5 draws and 8 defeats; Mykolaiv have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Desna(away) | 1-1 | Persha Liga |
| May 15, 2016 | Kramatorsk(home) | 1-1 | Persha Liga |
| May 11, 2016 | Sumy(home) | 0-1 | Persha Liga |
| May 7, 2016 | Cherkaskyi Dnipro(away) | 0-2 | Persha Liga |
| Apr 29, 2016 | Hirnyk-Sport(home) | 1-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2016 | Sumy(home) | 3-1 | Persha Liga |
| May 15, 2016 | Cherkaskyi Dnipro(away) | 2-0 | Persha Liga |
| May 11, 2016 | Hirnyk-Sport(home) | 2-0 | Persha Liga |
| May 6, 2016 | Obolon'-Brovar(away) | 0-0 | Persha Liga |
| Apr 29, 2016 | Kryvbas KR(home) | 0-3 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 2 Ternopil' win(s), 0 draw(s), 1 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2015 | Mykolaiv 3-0 Ternopil' | Persha Liga |
| Mar 20, 2015 | Ternopil' 4-2 Mykolaiv | Persha Liga |
| Aug 10, 2014 | Mykolaiv 1-3 Ternopil' | Persha Liga |
Last archived meeting: Mykolaiv vs Ternopil' on Oct 22, 2015
How many goals should we expect?
Ternopil' score 0.5 and concede 1.3 goals per match over their last 15; Mykolaiv score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ternopil' | 0.5 | 1.3 | 4 | 5/15 | 4/15 |
| Mykolaiv | 0.7 | 0.9 | 9 | 1/15 | 3/15 |
Over the last 15 matches in all competitions.
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