Tytan Armyansk vs Sevastopol: result 0-2 and analysis
Persha LigaRegular Season - 4Kick-off on August 6, 2011 at 03:00 PM (UTC)Stadion Khimik, Armyans'k
Full time
What was the result of Tytan Armyansk vs Sevastopol?
Sevastopol won 0-2 on August 6, 2011.
Goalscorers
- 59′Sergey GribanovSevastopol
- 90′Roman VoynarovskyiSevastopol
Official lineup for Tytan Armyansk vs Sevastopol
The starting elevens fielded at kick-off.
Tytan Armyansk
- OO. Yarovenko
- SSerhii Kravchenko
- SSerhii Ivlev
- AA. Matsak
- RR. Dovzhik
- VVitali Kalinichenko
- AA. Maslov
- RR. Klimentovskyi
- AA. Fedorchenko
- LL. Shitov
- AA. Koshelev
Sevastopol
- AAndriy Shevchuk
- MMariusz Lewandowski
- II. Duljaj
- IIgor Skoba
- YYevhen Chepurnenko
- AAnton Kramar
- VV. Tanchyk
- MM. Ghvinianidze
- AAnatolii Burlin
- SS. Voronin
- II. Lytovka
What is the recent form of both teams?
Over their last 3 matches in all competitions, Tytan Armyansk have 1 win, 0 draws and 2 defeats; Sevastopol have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2011 | Krymteplitsia(away) | 1-2 | Persha Liga |
| Jul 23, 2011 | Bukovyna(home) | 1-0 | Persha Liga |
| Jul 16, 2011 | Metalurh Zaporizhya(away) | 1-5 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2011 | Kobra(home) | 1-0 | Persha Liga |
| Jul 23, 2011 | Hoverla(away) | 0-1 | Persha Liga |
| Jul 17, 2011 | Krymteplitsia(away) | 2-0 | Persha Liga |
How many goals should we expect?
Tytan Armyansk score 1.0 and concede 2.3 goals per match over their last 3; Sevastopol score 1.0 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tytan Armyansk | 1.0 | 2.3 | 1 | 2/3 | 2/3 |
| Sevastopol | 1.0 | 0.3 | 2 | 0/3 | 0/3 |
Over the last 3 matches in all competitions.
A question about Tytan Armyansk vs Sevastopol?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy