Skala Stryi vs Arsenal Kyiv: result 1-1 and analysis
Persha LigaRegular Season - 15Kick-off on October 22, 2016 at 12:00 PM (UTC)Stadion Sokil, Stryi
Full time
What was the result of Skala Stryi vs Arsenal Kyiv?
Skala Stryi and Arsenal Kyiv drew 1-1 on October 22, 2016.
Goalscorers
- 7′Dmytro SkakunSkala Stryi
- 22′A. EseolaArsenal Kyiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skala Stryi have 4 wins, 2 draws and 9 defeats; Arsenal Kyiv have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Inhulets(away) | 0-1 | Persha Liga |
| Oct 8, 2016 | Hirnyk-Sport(home) | 3-2 | Persha Liga |
| Oct 1, 2016 | Sumy(away) | 1-2 | Persha Liga |
| Sep 25, 2016 | Desna(away) | 0-3 | Persha Liga |
| Sep 18, 2016 | Kramatorsk(home) | 0-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Desna(home) | 1-2 | Persha Liga |
| Oct 8, 2016 | Kramatorsk(away) | 2-0 | Persha Liga |
| Oct 2, 2016 | Kolos Kovalivka(home) | 3-3 | Persha Liga |
| Sep 25, 2016 | Ternopil'(away) | 1-2 | Persha Liga |
| Sep 21, 2016 | Desna(away) | 0-1 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 1 Skala Stryi win(s), 1 draw(s), 0 Arsenal Kyiv win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 16, 2016 | Skala Stryi 0-0 Arsenal Kyiv | Druha Liga |
| Aug 30, 2015 | Arsenal Kyiv 0-3 Skala Stryi | Druha Liga |
Last archived meeting: Skala Stryi vs Arsenal Kyiv on Apr 16, 2016
How many goals should we expect?
Skala Stryi score 0.7 and concede 1.3 goals per match over their last 15; Arsenal Kyiv score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skala Stryi | 0.7 | 1.3 | 4 | 5/15 | 7/15 |
| Arsenal Kyiv | 1.1 | 1.2 | 5 | 6/15 | 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