Tytan Armyansk vs Sumy: result 2-2 and analysis
Persha LigaRegular Season - 33Kick-off on June 2, 2013 at 02:00 PM (UTC)Stadion Khimik, Armyans'k
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What was the result of Tytan Armyansk vs Sumy?
Tytan Armyansk and Sumy drew 2-2 on June 2, 2013.
Goalscorers
- 25′O. LebedenkoSumy
- 40′Serhii KravchenkoTytan Armyansk
- 45′Vitali ProkopchenkoTytan Armyansk
- 90′Vitaliy BugayovSumy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tytan Armyansk have 9 wins, 4 draws and 2 defeats; Sumy have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2013 | Sevastopol(home) | 1-1 | Persha Liga |
| May 25, 2013 | Kramatorsk(away) | 0-1 | Persha Liga |
| May 19, 2013 | Olimpik Donetsk(home) | 2-0 | Persha Liga |
| May 12, 2013 | Oleksandria(away) | 3-0 | Persha Liga |
| May 2, 2013 | Krymteplitsia(away) | 3-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2013 | Stal Alchevsk(home) | 2-0 | Persha Liga |
| May 20, 2013 | Bukovyna(away) | 0-1 | Persha Liga |
| May 12, 2013 | Kobra(away) | 1-0 | Persha Liga |
| May 7, 2013 | Kramatorsk(home) | 2-0 | Persha Liga |
| May 2, 2013 | Olimpik Donetsk(away) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Tytan Armyansk win(s), 1 draw(s), 0 Sumy win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2012 | Sumy 0-0 Tytan Armyansk | Persha Liga |
Last archived meeting: Sumy vs Tytan Armyansk on Oct 20, 2012
How many goals should we expect?
Tytan Armyansk score 1.7 and concede 0.7 goals per match over their last 15; Sumy score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tytan Armyansk | 1.7 | 0.7 | 7 | 7/15 | 7/15 |
| Sumy | 1.1 | 0.9 | 5 | 5/15 | 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