Anzhi vs Arsenal Tula: result 1-0 and analysis
Premier LeagueRegular Season - 3Kick-off on August 14, 2016 at 05:00 PM (UTC)Anzhi-Arena, Kaspiysk
Full time
What was the result of Anzhi vs Arsenal Tula?
Anzhi won 1-0 on August 14, 2016.
Goalscorers
- 45′I. MaevskiyAnzhi
Official lineup for Anzhi vs Arsenal Tula
The starting elevens fielded at kick-off.
Anzhi
4-2-3-1- 28P. Budkivskyi
- 8L. Ebecilio
- 30S. Gasanov
- 14B. Berisha
- 18I. Maevskiy
- 77Georgi Tigiev
- 57M. Musalov
- 4D. Lazić
- 21C. Yamberé
- 3Ali Gadzhibekov
- 31A. Belenov
Arsenal Tula
5-3-2- 23Ruslan Mukhametshin
- 88I. Shevchenko
- 20Vadim Steklov
- 7Kantemir Berkhamov
- 29Aleksandr Gorbatyuk
- 10F. Brown Forbes
- 6M. Belyaev
- 8Aleksandr Sheshukov
- 22Lukas Tesak
- 71A. Denisov
- 1Roman Gerus
What is the recent form of both teams?
Over their last 2 matches in all competitions, Anzhi have 0 wins, 1 draw and 1 defeat; Arsenal Tula have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Amkar(away) | 0-2 | Premier League |
| Jul 30, 2016 | CSKA Moscow(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2016 | Rubin(home) | 1-0 | Premier League |
| Jul 31, 2016 | Spartak Moscow(away) | 0-4 | Premier League |
How many goals should we expect?
Anzhi score 0.0 and concede 1.0 goals per match over their last 2; Arsenal Tula score 0.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Anzhi | 0.0 | 1.0 | 1 | 0/2 | 0/2 |
| Arsenal Tula | 0.5 | 2.0 | 1 | 0/2 | 1/2 |
Over the last 2 matches in all competitions.
A question about Anzhi vs Arsenal Tula?
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