Match

Başakşehir vs HNK Rijeka: result 0-0 and analysis

UEFA Europa League3rd Qualifying RoundKick-off on July 28, 2016 at 05:30 PM (UTC)Başakşehir Fatih Terim Stadyumu, İstanbul

Başakşehir
0-0
HNK Rijeka

Full time

What was the result of Başakşehir vs HNK Rijeka?

Başakşehir and HNK Rijeka drew 0-0 on July 28, 2016.

Official lineup for Başakşehir vs HNK Rijeka

The starting elevens fielded at kick-off.

Başakşehir

4-2-3-1
  1. 9Mehmet Batdal
  1. 7E. Višća
  2. 10Francisco Lima Da Silva
  3. 21M. Tekdemir
  1. 23Samuel Tobias Holmén
  2. 5E. Belözoğlu
  1. 11E. Albayrak
  2. 6A. Epureanu
  3. 33Uğur Uçar
  4. 2Yalçın Ayhan
  1. 1V. Babacan

HNK Rijeka

4-2-2-2
  1. 17M. Gavranović
  2. 11Roman Bezjak
  1. 28F. Bradarić
  2. 26Mate Maleš
  1. 7M. Tomasov
  2. 15M. Mitrović
  1. 8L. Zuta
  2. 18J. Elez
  3. 6S. Ristovski
  4. 29M. Vešović
  1. 32Andrej Prskalo
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Başakşehir have 6 wins, 7 draws and 2 defeats; HNK Rijeka have 9, 2 and 4.

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

Başakşehir
DateOpponentScoreCompetition
May 18, 2016Rizespor(home)1-0Süper Lig
May 14, 2016Eskişehirspor(away)2-1Süper Lig
May 9, 2016Fenerbahçe(home)2-1Süper Lig
Apr 30, 2016Gençlerbirliği S.K.(away)0-0Süper Lig
Apr 23, 2016Sivasspor(home)2-2Süper Lig
HNK Rijeka
DateOpponentScoreCompetition
Jul 22, 2016Istra 1961(home)4-1HNL
Jul 16, 2016RNK Split(away)3-0HNL
Jul 23, 2015Aberdeen(away)2-2UEFA Europa League
Jul 16, 2015Aberdeen(home)0-3UEFA Europa League
Dec 11, 2014Sevilla(away)0-1UEFA Europa League

How many goals should we expect?

Başakşehir score 1.6 and concede 1.1 goals per match over their last 15; HNK Rijeka score 2.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Başakşehir1.61.159/158/15
HNK Rijeka2.11.156/1510/15

Over the last 15 matches in all competitions.

A question about Başakşehir vs HNK Rijeka?

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

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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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