Match

KuPS vs FC Vitebsk: result 2-0 and analysis

UEFA Europa League1st Qualifying RoundKick-off on July 11, 2019 at 04:00 PM (UTC)Väre Areena, Kuopio

KuPS
2-0
FC Vitebsk

Full time

What was the result of KuPS vs FC Vitebsk?

KuPS won 2-0 on July 11, 2019.

Goalscorers

  • 61′Luis Carlos MurilloKuPS
  • 74′RangelKuPS

Official lineup for KuPS vs FC Vitebsk

The starting elevens fielded at kick-off.

KuPS

4-3-3
  1. 8P. Pennanen
  2. 9Rangel
  3. 11I. Niskanen
  1. 23Mame Seydina Issa Laye Thiaw
  2. 3Reuben Ayarna
  3. 20V. Saxman
  1. 13Luis Carlos Murillo
  2. 33V. Soldo
  3. 15Babacar Diallo
  4. 2Kalle Taimi
  1. 1O. Virtanen

FC Vitebsk

4-5-1
  1. 18Maksym Feshchuk
  1. 7K. Pechenin
  2. 29Artem Stargorodsky
  3. 5Wanderson
  4. 10M. Kozlov
  5. 4A. Skitov
  1. 35N. Zolotov
  2. 25Oleh Karamushka
  3. 13Akaki Khubutia
  4. 17Daniil Chalov
  1. 1Dmitri Gushchenko
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What is the recent form of both teams?

Over their last 15 matches in all competitions, KuPS have 7 wins, 5 draws and 3 defeats; FC Vitebsk have 5, 4 and 6.

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

KuPS
DateOpponentScoreCompetition
Jul 6, 2019Honka(away)2-1Veikkausliiga
Jun 29, 2019HJK Helsinki(away)1-1Veikkausliiga
Jun 25, 2019Lahti(home)5-1Veikkausliiga
Jun 17, 2019VPS(away)2-1Veikkausliiga
Jun 2, 2019SJK(home)0-1Veikkausliiga
FC Vitebsk
DateOpponentScoreCompetition
Jul 6, 2019Dinamo Brest(home)0-1Premier League
Jun 30, 2019Bate Borisov(away)0-3Premier League
Jun 26, 2019Slonim(away)3-1Coppa
Jun 23, 2019FC Dnepr Mogilev(home)2-1Premier League
Jun 15, 2019Torpedo Zhodino(away)0-1Premier League

How many goals should we expect?

KuPS score 1.7 and concede 1.3 goals per match over their last 15; FC Vitebsk score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KuPS1.71.339/158/15
FC Vitebsk1.11.337/158/15

Over the last 15 matches in all competitions.

A question about KuPS vs FC Vitebsk?

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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