Arsenal Kyiv vs Kremin': result 2-0 and analysis
Persha LigaRegular Season - 34Kick-off on May 19, 2018 at 02:30 PM (UTC)Knyazha-Arena, Shchaslyve
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What was the result of Arsenal Kyiv vs Kremin'?
Arsenal Kyiv won 2-0 on May 19, 2018.
Goalscorers
- 6′Andrii DerkachArsenal Kyiv
- 45′V. SemchukArsenal Kyiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal Kyiv have 8 wins, 2 draws and 5 defeats; Kremin' have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Sumy(away) | 1-0 | Persha Liga |
| May 7, 2018 | Naftovyk-Ukrnafta(home) | 2-1 | Persha Liga |
| May 2, 2018 | Cherkaskyi Dnipro(away) | 0-1 | Persha Liga |
| Apr 28, 2018 | Kolos Kovalivka(away) | 1-1 | Persha Liga |
| Apr 22, 2018 | Zhemchuzhyna Odesa(home) | 2-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Zhemchuzhyna Odesa(home) | 0-0 | Persha Liga |
| May 6, 2018 | Kramatorsk(away) | 0-1 | Persha Liga |
| May 2, 2018 | Balkany Zorya(home) | 1-1 | Persha Liga |
| Apr 28, 2018 | Desna(away) | 1-4 | Persha Liga |
| Apr 22, 2018 | Hirnyk-Sport(home) | 2-0 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Arsenal Kyiv win(s), 2 draw(s), 1 Kremin' win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2017 | Kremin' 1-1 Arsenal Kyiv | Persha Liga |
| Oct 31, 2015 | Kremin' 1-0 Arsenal Kyiv | Druha Liga |
| Aug 1, 2015 | Arsenal Kyiv 1-1 Kremin' | Druha Liga |
Last archived meeting: Kremin' vs Arsenal Kyiv on Oct 15, 2017
How many goals should we expect?
Arsenal Kyiv score 1.5 and concede 0.9 goals per match over their last 15; Kremin' score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal Kyiv | 1.5 | 0.9 | 4 | 6/15 | 6/15 |
| Kremin' | 0.8 | 1.5 | 2 | 6/15 | 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