Hirnyk-Sport vs Poltava: result 2-1 and analysis
Persha LigaRegular Season - 16Kick-off on November 8, 2014 at 12:00 PM (UTC)Stadion Yunist, Horishni Plavni
Full time
What was the result of Hirnyk-Sport vs Poltava?
Hirnyk-Sport won 2-1 on November 8, 2014.
Goalscorers
- 7′Artem ButeninPoltava
- 15′Volodymyr KorolkovHirnyk-Sport
- 73′Volodymyr KorolkovHirnyk-Sport (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hirnyk-Sport have 7 wins, 3 draws and 5 defeats; Poltava have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2014 | Stal Alchevsk(home) | 2-1 | Persha Liga |
| Oct 27, 2014 | Mykolaiv(away) | 5-0 | Persha Liga |
| Oct 18, 2014 | Nyva Ternopil(home) | 0-1 | Persha Liga |
| Oct 11, 2014 | Kryvbas KR(away) | 1-0 | Persha Liga |
| Oct 5, 2014 | Sumy(home) | 3-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2014 | Naftovyk-Ukrnafta(home) | 1-0 | Persha Liga |
| Oct 27, 2014 | Shakhtar Donetsk(away) | 1-4 | Cup |
| Oct 23, 2014 | Stal Alchevsk(away) | 2-1 | Persha Liga |
| Oct 18, 2014 | Mykolaiv(home) | 3-3 | Persha Liga |
| Oct 11, 2014 | Nyva Ternopil(away) | 1-0 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Hirnyk-Sport win(s), 0 draw(s), 0 Poltava win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2014 | Poltava 0-1 Hirnyk-Sport | Persha Liga |
Last archived meeting: Poltava vs Hirnyk-Sport on Jul 26, 2014
How many goals should we expect?
Hirnyk-Sport score 1.5 and concede 1.1 goals per match over their last 15; Poltava score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hirnyk-Sport | 1.5 | 1.1 | 5 | 5/15 | 9/15 |
| Poltava | 1.0 | 1.3 | 6 | 7/15 | 7/15 |
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