Match

Schuchin vs Smorgon: result 2-5 and analysis

Coppa2nd RoundKick-off on May 28, 2022 at 01:00 PM (UTC)

Schuchin
2-5
Smorgon

Full time

What was the result of Schuchin vs Smorgon?

Smorgon won 2-5 on May 28, 2022.

Goalscorers

  • 1′S. UsenyaSmorgon
  • 24′A. BaygotSchuchin
  • 28′A. BaygotSchuchin
  • 51′V. LikhtinSmorgon (pen.)
  • 54′D. TameloSmorgon
  • 69′P. GorbachSmorgon
  • 85′A. KopytichSmorgon

Official lineup for Schuchin vs Smorgon

The starting elevens fielded at kick-off.

Schuchin

  1. MM. Kirillov
  2. VV. Kostirev
  3. AA. Akstilovich
  1. VV. Sevko
  2. MM. Mazurkevich
  3. DD. Kostevich
  4. AA. Baygot
  1. VV. Gidrevich
  2. DD. Vashchilo
  3. DD. Belyavskiy
  1. VV. Kalechits

Smorgon

  1. MM. Dukso
  2. MM. Kravtsov
  3. AA. Kopytich
  1. EE. Semenov
  2. DD. Tamelo
  3. VV. Likhtin
  1. SS. Usenya
  2. AA. Frantsev
  3. II. Zhukov
  4. CC. Intsoen
  1. AA. Velesyuk
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Schuchin have 8 wins, 5 draws and 2 defeats; Smorgon have 7, 2 and 6.

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

Schuchin
DateOpponentScoreCompetition
May 21, 2022Fakel Novogrudok(home)1-02. Division
May 15, 2022Grodnensky(home)2-1Coppa
May 7, 2022Chayka Zelva(away)3-22. Division
May 1, 2022Slonim City(home)6-2Coppa
Apr 23, 2022Slonim City(home)0-02. Division
Smorgon
DateOpponentScoreCompetition
May 21, 2022Osipovichy(home)1-01. Division
May 14, 2022Naftan(away)0-21. Division
May 7, 2022Lida(home)2-01. Division
May 1, 2022Shakhtyor Petrikov(away)0-41. Division
Apr 22, 2022Baranovichi(home)3-01. Division

How many goals should we expect?

Schuchin score 2.9 and concede 1.7 goals per match over their last 15; Smorgon score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Schuchin2.91.7212/1510/15
Smorgon1.11.784/156/15

Over the last 15 matches in all competitions.

A question about Schuchin vs Smorgon?

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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