Match

Şanlıurfaspor vs Amed: result 0-2 and analysis

Türkiye KupasıGroup Stage - 3Kick-off on January 11, 2016 at 02:00 PM (UTC)Şanlıurfa 11 Nisan Stadyumu, Şanlıurfa

Şanlıurfaspor
0-2
Amed

Full time

What was the result of Şanlıurfaspor vs Amed?

Amed won 0-2 on January 11, 2016.

Goalscorers

  • 29′Şehmuz ÖzerAmed
  • 31′Yusuf YağmurAmed

Official lineup for Şanlıurfaspor vs Amed

The starting elevens fielded at kick-off.

Şanlıurfaspor

  1. AArnaldo Edi Lopes da Silva
  1. EE. Kasapoğlu
  2. KK. Sönmez
  3. HH. Köçer
  4. OOmer Dagli
  5. MMehmet Umut Ersöz
  1. EEkrem Hayyam Dag
  2. ŞŞ. Özel
  3. OO. Akbay
  4. MMehmet Rızvan Yıldız
  1. NN. Yılmaz

Amed

  1. DDeniz Naki
  2. ŞŞehmuz Özer
  1. AAbdullah Çetin
  2. İİ. Coşkun
  3. EE. Çapar
  4. YYusuf Yağmur
  5. TTekin Adar
  6. ÖÖ. Karaboğa
  1. VVolkan Dikmen
  2. ŞŞ. Güngör
  1. LLevent Taskin
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Şanlıurfaspor have 4 wins, 3 draws and 8 defeats; Amed have 7, 4 and 4.

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

Şanlıurfaspor
DateOpponentScoreCompetition
Dec 27, 2015Adana Demirspor(away)0-21. Lig
Dec 23, 2015Bandırmaspor(home)0-3Türkiye Kupası
Dec 20, 2015Elazığspor(home)1-11. Lig
Dec 16, 2015Başakşehir(away)1-4Türkiye Kupası
Dec 13, 2015Altınordu(away)0-01. Lig
Amed
DateOpponentScoreCompetition
Dec 23, 2015Başakşehir(home)2-2Türkiye Kupası
Dec 16, 2015Bandırmaspor(away)2-1Türkiye Kupası
Dec 1, 2015Elazığspor(home)2-1Türkiye Kupası
Sep 22, 2015Karaman FK(home)2-1Türkiye Kupası
Feb 4, 2015Eskişehirspor(home)1-0Türkiye Kupası

How many goals should we expect?

Şanlıurfaspor score 0.7 and concede 1.6 goals per match over their last 15; Amed score 1.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Şanlıurfaspor0.71.645/155/15
Amed1.61.5210/1510/15

Over the last 15 matches in all competitions.

A question about Şanlıurfaspor vs Amed?

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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