Match

Fakel vs Dolgoprudny: result 2-1 and analysis

Cup3rd RoundKick-off on August 4, 2021 at 04:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh

Fakel
2-1
Dolgoprudny

Full time

What was the result of Fakel vs Dolgoprudny?

Fakel won 2-1 on August 4, 2021.

Goalscorers

  • 1′Denis ShepilovFakel
  • 38′A. RazborovFakel
  • 77′A. BakhtiyarovDolgoprudny (pen.)

Official lineup for Fakel vs Dolgoprudny

The starting elevens fielded at kick-off.

Fakel

  1. AA. Kulishev
  2. AA. Razborov
  3. II. Gruznov
  1. AA. Shavaev
  2. AA. Mendel
  3. DDenis Shepilov
  1. SS. Bryzgalov
  2. AA. Dashaev
  3. VV. Cherov
  4. RR. Magal
  1. DD. Ermakov

Dolgoprudny

  1. II. Safronov
  2. AArtem Shcherbak
  1. DD. Yanov
  2. AA. Bakhtiyarov
  3. LL. Gerchikov
  4. JJoseph Okoro
  5. NN. Anwan
  1. II. Chezhia
  2. YY. Gudkov
  3. PPhilip Orite Ipole
  1. SStanislav Cherchesov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fakel have 10 wins, 4 draws and 1 defeat; Dolgoprudny have 6, 6 and 3.

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

Fakel
DateOpponentScoreCompetition
Jul 31, 2021FC Orenburg(away)2-0First League
Jul 24, 2021TOM Tomsk(home)2-0First League
Jul 17, 2021Veles(home)1-0First League
Jul 10, 2021Baltika(home)3-3First League
Jun 30, 2021Volgar Astrakhan(away)2-1Friendlies Clubs
Dolgoprudny
DateOpponentScoreCompetition
Jul 31, 2021Krasnodar 2(away)0-2First League
Jul 23, 2021KAMAZ(home)1-1First League
Jul 17, 2021Rotor Volgograd(away)1-1First League
Jul 10, 2021FK Neftekhimik(away)0-1First League
Jun 26, 2021Khimki(away)1-0Friendlies Clubs

How many goals should we expect?

Fakel score 1.8 and concede 1.0 goals per match over their last 15; Dolgoprudny score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fakel1.81.087/155/15
Dolgoprudny1.30.776/154/15

Over the last 15 matches in all competitions.

A question about Fakel vs Dolgoprudny?

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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