Stal Alchevsk vs Kramatorsk: result 2-1 and analysis
Persha LigaRegular Season - 31Kick-off on May 19, 2013 at 03:00 PM (UTC)Stadion Mashynobudivnyk, Beryslav
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What was the result of Stal Alchevsk vs Kramatorsk?
Stal Alchevsk won 2-1 on May 19, 2013.
Goalscorers
- 9′Dmytro KozbanKramatorsk
- 47′D. LeonovStal Alchevsk
- 69′Oleksandr AkymenkoStal Alchevsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stal Alchevsk have 9 wins, 2 draws and 4 defeats; Kramatorsk have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Olimpik Donetsk(away) | 1-0 | Persha Liga |
| May 7, 2013 | Oleksandria(home) | 2-4 | Persha Liga |
| May 2, 2013 | Sevastopol(away) | 0-2 | Persha Liga |
| Apr 27, 2013 | Krymteplitsia(home) | 4-0 | Persha Liga |
| Apr 23, 2013 | Dynamo Kyiv II(home) | 4-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2013 | Arsenal Bila Tserkva(away) | 4-0 | Persha Liga |
| May 11, 2013 | Bukovyna(home) | 1-0 | Persha Liga |
| May 7, 2013 | Sumy(away) | 0-2 | Persha Liga |
| May 2, 2013 | Kobra(away) | 2-2 | Persha Liga |
| Apr 27, 2013 | Olimpik Donetsk(home) | 1-0 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Stal Alchevsk win(s), 0 draw(s), 0 Kramatorsk win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 10, 2012 | Kramatorsk 0-2 Stal Alchevsk | Persha Liga |
Last archived meeting: Kramatorsk vs Stal Alchevsk on Oct 10, 2012
How many goals should we expect?
Stal Alchevsk score 2.1 and concede 1.5 goals per match over their last 15; Kramatorsk score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stal Alchevsk | 2.1 | 1.5 | 4 | 9/15 | 11/15 |
| Kramatorsk | 1.2 | 0.7 | 7 | 4/15 | 4/15 |
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