Mykolaiv vs Tytan Armyansk: result 2-0 and analysis
Persha LigaRegular Season - 30Kick-off on May 9, 2012 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv vs Tytan Armyansk?
Mykolaiv won 2-0 on May 9, 2012.
Goalscorers
- 68′Stanislav GudzikevichMykolaiv
- 89′Stanislav GudzikevichMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 2 wins, 2 draws and 11 defeats; Tytan Armyansk have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2012 | Kobra(away) | 2-4 | Persha Liga |
| Apr 28, 2012 | Sevastopol(home) | 0-1 | Persha Liga |
| Apr 20, 2012 | Krymteplitsia(away) | 1-2 | Persha Liga |
| Apr 14, 2012 | Bukovyna(home) | 1-2 | Persha Liga |
| Apr 7, 2012 | Metalurh Zaporizhya(away) | 0-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2012 | Zirka(home) | 0-2 | Persha Liga |
| Apr 28, 2012 | Arsenal Bila Tserkva(away) | 1-2 | Persha Liga |
| Apr 21, 2012 | Naftovyk-Ukrnafta(home) | 1-4 | Persha Liga |
| Apr 14, 2012 | Olimpik Donetsk(away) | 0-3 | Persha Liga |
| Apr 8, 2012 | Stal Alchevsk(home) | 2-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Mykolaiv win(s), 1 draw(s), 0 Tytan Armyansk win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2011 | Tytan Armyansk 0-0 Mykolaiv | Persha Liga |
Last archived meeting: Tytan Armyansk vs Mykolaiv on Sep 30, 2011
How many goals should we expect?
Mykolaiv score 0.9 and concede 2.0 goals per match over their last 15; Tytan Armyansk score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.9 | 2.0 | 2 | 8/15 | 11/15 |
| Tytan Armyansk | 0.9 | 1.7 | 3 | 7/15 | 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