Match

Hirnyk-Sport vs Dnipro-1: result 3-5 and analysis

Cup3rd RoundKick-off on September 30, 2020 at 11:00 AM (UTC)Stadion Yunist, Horishni Plavni

Hirnyk-Sport
3-5
Dnipro-1

Full time

What was the result of Hirnyk-Sport vs Dnipro-1?

Dnipro-1 won 3-5 on September 30, 2020.

Goalscorers

  • 16′A. DovbykDnipro-1
  • 23′A. BatagovDnipro-1
  • 25′D. KarasHirnyk-Sport
  • 39′S. BuletsaDnipro-1
  • 43′S. SukhanovHirnyk-Sport (pen.)
  • 51′Serhii GerasimetsHirnyk-Sport
  • 97′A. DovbykDnipro-1
  • 109′A. DovbykDnipro-1

What is the recent form of both teams?

Over their last 15 matches in all competitions, Hirnyk-Sport have 8 wins, 1 draws and 6 defeats; Dnipro-1 have 6, 2 and 7.

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

Hirnyk-Sport
DateOpponentScoreCompetition
Sep 26, 2020VPK-Ahro Shevchenkivka(away)3-0Persha Liga
Sep 21, 2020Kremin'(home)2-0Persha Liga
Sep 17, 2020Metalurh Zaporizhya(away)4-1Cup
Sep 11, 2020Chornomorets(away)1-1Persha Liga
Aug 30, 2020Olimpiya Savyntsi(away)2-1Cup
Dnipro-1
DateOpponentScoreCompetition
Sep 26, 2020Oleksandria(away)1-4Premier League
Sep 18, 2020FC Mariupol(home)1-2Premier League
Sep 12, 2020Olimpik Donetsk(home)1-3Premier League
Aug 23, 2020Inhulets(away)1-1Premier League
Aug 15, 2020Oleksandria(home)0-0Friendlies Clubs

What does the head-to-head say?

Across the last 3 meetings: 0 Hirnyk-Sport win(s), 0 draw(s), 3 Dnipro-1 win(s).

DateScoreCompetition
Nov 11, 2018Hirnyk-Sport 0-3 Dnipro-1Persha Liga
Jul 28, 2018Dnipro-1 6-0 Hirnyk-SportPersha Liga
Sep 20, 2017Dnipro-1 1-0 Hirnyk-SportCup

Last archived meeting: Hirnyk-Sport vs Dnipro-1 on Nov 11, 2018

How many goals should we expect?

Hirnyk-Sport score 1.9 and concede 1.4 goals per match over their last 15; Dnipro-1 score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hirnyk-Sport1.91.449/1511/15
Dnipro-11.51.7310/1510/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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