Arsenal Kyiv vs Ternopil': result 4-0 and analysis
Persha LigaRegular Season - 28Kick-off on May 3, 2017 at 12:00 PM (UTC)Stadion Kolos, Boryspil'
Full time
What was the result of Arsenal Kyiv vs Ternopil'?
Arsenal Kyiv won 4-0 on May 3, 2017.
Goalscorers
- 24′Pavlo FedosovArsenal Kyiv
- 41′A. DombrovskyiArsenal Kyiv
- 61′O. BatalskyiArsenal Kyiv
- 88′Navid NasimiArsenal Kyiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 5 wins, 5 draws and 5 defeats; Ternopil' have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Veres Rivne(away) | 0-2 | Persha Liga |
| Apr 22, 2017 | Bukovyna(home) | 0-1 | Persha Liga |
| Apr 14, 2017 | Kobra(away) | 0-1 | Persha Liga |
| Apr 8, 2017 | Cherkaskyi Dnipro(home) | 0-0 | Persha Liga |
| Apr 1, 2017 | Naftovyk-Ukrnafta(away) | 0-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Inhulets(home) | 0-2 | Persha Liga |
| Apr 22, 2017 | Hirnyk-Sport(away) | 0-2 | Persha Liga |
| Apr 18, 2017 | Bukovyna(away) | 0-4 | Persha Liga |
| Apr 14, 2017 | Skala Stryi(home) | 1-0 | Persha Liga |
| Apr 8, 2017 | Desna(away) | 0-2 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Arsenal Kyiv win(s), 0 draw(s), 1 Ternopil' win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2016 | Ternopil' 2-1 Arsenal Kyiv | Persha Liga |
Last archived meeting: Ternopil' vs Arsenal Kyiv on Sep 25, 2016
How many goals should we expect?
Arsenal Kyiv score 0.8 and concede 0.7 goals per match over their last 15; Ternopil' score 0.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 0.8 | 0.7 | 7 | 5/15 | 3/15 |
| Ternopil' | 0.5 | 1.7 | 2 | 5/15 | 6/15 |
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