Inhulets vs Desna: result 1-2 and analysis
Persha LigaRegular Season - 30Kick-off on May 13, 2017 at 04:00 PM (UTC)Stadion Inhulets, Petrove
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What was the result of Inhulets vs Desna?
Desna won 1-2 on May 13, 2017.
Goalscorers
- 35′Vadim MelnykDesna
- 45′Nika SichinavaInhulets
- 73′Oleksandr VolkovDesna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Inhulets have 5 wins, 5 draws and 5 defeats; Desna have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2017 | Kramatorsk(away) | 1-1 | Persha Liga |
| May 4, 2017 | Kolos Kovalivka(home) | 0-0 | Persha Liga |
| Apr 30, 2017 | Ternopil'(away) | 2-0 | Persha Liga |
| Apr 23, 2017 | Veres Rivne(home) | 1-2 | Persha Liga |
| Apr 14, 2017 | Bukovyna(away) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2017 | Hirnyk-Sport(home) | 2-0 | Persha Liga |
| May 4, 2017 | Skala Stryi(away) | 5-2 | Persha Liga |
| Apr 29, 2017 | Sumy(home) | 0-0 | Persha Liga |
| Apr 22, 2017 | Kramatorsk(home) | 2-0 | Persha Liga |
| Apr 15, 2017 | Kolos Kovalivka(away) | 1-0 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Inhulets win(s), 0 draw(s), 1 Desna win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Desna 1-0 Inhulets | Persha Liga |
How many goals should we expect?
Inhulets score 1.0 and concede 1.1 goals per match over their last 15; Desna score 1.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Inhulets | 1.0 | 1.1 | 6 | 8/15 | 5/15 |
| Desna | 1.6 | 0.5 | 9 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Inhulets | 4 | 1 | 1 | 2 | 5 | 8 | 4 |
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