FC UFA vs Zenit: result 0-0 and analysis
Premier LeagueRegular Season - 2Kick-off on August 6, 2016 at 02:00 PM (UTC)BetBoom Аrena, Ufa
Full time
What was the result of FC UFA vs Zenit?
FC UFA and Zenit drew 0-0 on August 6, 2016.
Official lineup for FC UFA vs Zenit
The starting elevens fielded at kick-off.
FC UFA
4-4-2- 57V. Krotov
- 44S. Igboun
- 98I. Oblyakov
- 87I. Bezdenezhnykh
- 17D. Zhivoglyadov
- 9Ondřej Vaněk
- 39D. Stotskiy
- 4A. Nikitin
- 3P. Alikin
- 5V. Vasin
- 88G. Shelia
Zenit
4-3-3- 77L. Đorđević
- 9A. Kokorin
- 8Maurício
- 17O. Shatov
- 28A. Witsel
- 81Y. Zhirkov
- 21Francisco Javier García Fernández
- 13Luís Neto
- 19I. Smolnikov
- 4D. Criscito
- 1Y. Lodygin
What is the recent form of both teams?
In their last match in all competitions, FC UFA have 0 wins, 0 draws and 1 defeat; Zenit have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2016 | Ural(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Lokomotiv(home) | 0-0 | Premier League |
| Mar 9, 2016 | Benfica(home) | 1-2 | UEFA Champions League |
| Feb 16, 2016 | Benfica(away) | 0-1 | UEFA Champions League |
| Dec 9, 2015 | Gent(away) | 1-2 | UEFA Champions League |
| Nov 24, 2015 | Valencia(home) | 2-0 | UEFA Champions League |
How many goals should we expect?
FC UFA score 0.0 and concede 2.0 goals per match in their last match; Zenit score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC UFA | 0.0 | 2.0 | 0 | 0/1 | 0/1 |
| Zenit | 1.5 | 0.9 | 6 | 7/15 | 8/15 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Zenit | 10 | 7 | 0 | 3 | 22 | 11 | 21 |
A question about FC UFA vs Zenit?
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