Tyumen vs Krasnodar 2: result 0-1 and analysis
First LeagueRegular Season - 4Kick-off on August 4, 2018 at 12:00 PM (UTC)Stadion Geolog, Tyumen'
Full time
What was the result of Tyumen vs Krasnodar 2?
Krasnodar 2 won 0-1 on August 4, 2018.
Goalscorers
- 79′D. UtkinKrasnodar 2 (pen.)
Official lineup for Tyumen vs Krasnodar 2
The starting elevens fielded at kick-off.
Tyumen
- 10M. Lauk
- 38Artur Maloyan
- 45M. Votinov
- 8I. Chudin
- 9V. Parnyakov
- 20A. Stolyarenko
- 24N. Telenkov
- 14I. Koronov
- 26F. Vasiev
- 66S. Kozlov
- 22S. Buchnev
Krasnodar 2
- 47D. Utkin
- 60G. Onugkha
- 63N. Sergeev
- 93M. Suleymanov
- 50A. Golubev
- 53A. Chernikov
- 40A. Ivashin
- 41A. Tataev
- 44S. Borodin
- 45I. Paradin
- 39M. Safonov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tyumen have 5 wins, 3 draws and 7 defeats; Krasnodar 2 have 1, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2018 | FC Armavir(home) | 1-0 | First League |
| Jul 22, 2018 | Nizhny Novgorod(away) | 1-2 | First League |
| Jul 17, 2018 | Baltika(home) | 4-1 | First League |
| May 12, 2018 | Baltika(away) | 1-3 | First League |
| May 6, 2018 | Spartak Moscow 2(home) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2018 | Mordovia Saransk(away) | 2-1 | First League |
| Jul 22, 2018 | Ska-khabarovsk(home) | 1-1 | First League |
| Jul 17, 2018 | Sibir(home) | 1-1 | First League |
How many goals should we expect?
Tyumen score 1.2 and concede 1.3 goals per match over their last 15; Krasnodar 2 score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tyumen | 1.2 | 1.3 | 3 | 9/15 | 7/15 |
| Krasnodar 2 | 1.3 | 1.0 | 0 | 3/3 | 1/3 |
Over the last 15 matches in all competitions.
A question about Tyumen vs Krasnodar 2?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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