Kryvbas KR vs Stal Alchevsk: result 1-2 and analysis
Persha LigaRegular Season - 10Kick-off on September 27, 2014 at 01:00 PM (UTC)Stadion Hirnyk, Kryvyi Rih
Full time
What was the result of Kryvbas KR vs Stal Alchevsk?
Stal Alchevsk won 1-2 on September 27, 2014.
Goalscorers
- 42′Igor GordyaStal Alchevsk
- 64′R. MamutovStal Alchevsk
- 70′Serhii GvozdevychKryvbas KR
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kryvbas KR have 3 wins, 8 draws and 4 defeats; Stal Alchevsk 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 |
|---|---|---|---|
| Sep 20, 2014 | Mykolaiv(away) | 2-3 | Persha Liga |
| Sep 14, 2014 | Nyva Ternopil(home) | 4-0 | Persha Liga |
| Sep 6, 2014 | Naftovyk-Ukrnafta(home) | 1-1 | Persha Liga |
| Sep 1, 2014 | Sumy(away) | 1-2 | Persha Liga |
| Aug 27, 2014 | Oleksandria(home) | 0-2 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2014 | Sumy(home) | 1-2 | Persha Liga |
| Sep 13, 2014 | Oleksandria(away) | 0-1 | Persha Liga |
| Sep 7, 2014 | Kobra(home) | 0-2 | Persha Liga |
| Aug 31, 2014 | Desna(away) | 1-0 | Persha Liga |
| Aug 24, 2014 | Stal Kamianske(home) | 0-2 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Kryvbas KR win(s), 0 draw(s), 1 Stal Alchevsk win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2012 | Kryvbas KR 1-3 Stal Alchevsk | Cup |
Last archived meeting: Kryvbas KR vs Stal Alchevsk on Aug 22, 2012
How many goals should we expect?
Kryvbas KR score 1.3 and concede 1.0 goals per match over their last 15; Stal Alchevsk score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kryvbas KR | 1.3 | 1.0 | 6 | 8/15 | 6/15 |
| Stal Alchevsk | 0.9 | 1.5 | 4 | 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