Match

Dynamo vs Ural: result 0-1 and analysis

Premier LeagueRegular Season - 2Kick-off on July 23, 2017 at 02:30 PM (UTC)Stadion Rodina, Khimki

Dynamo
0-1
Ural

Full time

What was the result of Dynamo vs Ural?

Ural won 0-1 on July 23, 2017.

Goalscorers

  • 89′G. ChanturiaUral

Official lineup for Dynamo vs Ural

The starting elevens fielded at kick-off.

Dynamo

4-4-2
  1. 8K. Panchenko
  2. 21F. Bećiraj
  1. 10A. Zotov
  2. 27S. Sow
  3. 7A. Ionov
  4. 23Anton Sosnin
  1. 3S. Holmén
  2. 44T. Šunjić
  3. 13S. Terekhov
  4. 25Aleksey Kozlov
  1. 1A. Shunin

Ural

4-2-3-1
  1. 10Chisamba Lungu
  1. 92R. Emeljanov
  2. 20M. Grigoryev
  3. 17N. Dimitrov
  1. 57A. Fidler
  2. 6E. Bicfalvi
  1. 27M. Merkulov
  2. 3V. Haroyan
  3. 15D. Kulakov
  4. 4G. Balažic
  1. 31Y. Godzyur
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Dynamo have 10 wins, 4 draws and 1 defeat; Ural have 5, 2 and 8.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Dynamo
DateOpponentScoreCompetition
Jul 18, 2017Spartak Moscow(home)2-2Premier League
May 20, 2017Tyumen(away)2-0First League
May 14, 2017Shinnik Yaroslavl(home)1-0First League
May 10, 2017FK Sokol Saratov(away)3-0First League
May 6, 2017Fakel(home)0-1First League
Ural
DateOpponentScoreCompetition
Jul 15, 2017FC Rostov(home)1-1Premier League
May 21, 2017FC UFA(away)0-1Premier League
May 17, 2017Lokomotiv(home)1-2Premier League
May 13, 2017FC Krasnodar(home)1-1Premier League
May 8, 2017Krylia Sovetov(home)1-3Premier League

How many goals should we expect?

Dynamo score 1.7 and concede 0.7 goals per match over their last 15; Ural score 0.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dynamo1.70.777/157/15
Ural0.91.646/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1Dynamo1071215822

A question about Dynamo vs Ural?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

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