Match

Gaziantepspor vs Amed: result 0-4 and analysis

2. LigBeyaz - 14Kick-off on November 24, 2018 at 10:00 AM (UTC)Gaziantep Stadyumu, Gaziantep

Gaziantepspor
0-4
Amed

Full time

What was the result of Gaziantepspor vs Amed?

Amed won 0-4 on November 24, 2018.

Goalscorers

  • 57′S. İstemiAmed
  • 79′M. İstemiAmed
  • 87′U. KoçinAmed
  • 90′S. İstemiAmed

Official lineup for Gaziantepspor vs Amed

The starting elevens fielded at kick-off.

Gaziantepspor

  1. 9S. Yılmaz
  2. 10Müslüm Talşik
  1. 11Ahmet Olğun
  2. 20E. Özyaşar
  3. 27İ. Günaslan
  4. 92Mustafa Bayram Çakır
  1. 5Mustafa Sülüker
  2. 19Sirac Susancak
  3. 23H. Genç
  4. 24D. Solmaz
  1. 32S. Özcan

Amed

  1. 11N. Özer
  2. 19B. Taşdemir
  1. 6H. Küçcük
  2. 10E. Çapar
  3. 21S. İstemi
  4. 72M. Çalar
  1. 4Yiğitcan Gölboyu
  2. 22Ö. Karancı
  3. 23O. Çetinkaya
  4. 62V. Geyik
  1. 1E. Yokuşlu
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Gaziantepspor have 3 wins, 2 draws and 10 defeats; Amed have 4, 3 and 8.

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

Gaziantepspor
DateOpponentScoreCompetition
Nov 18, 2018Sakaryaspor(away)0-62. Lig
Nov 11, 2018Manisaspor(home)1-12. Lig
Nov 4, 2018Uşak Spor(away)0-32. Lig
Oct 27, 2018Hacettepe Spor(home)3-22. Lig
Oct 21, 2018Sarıyer(away)1-22. Lig
Amed
DateOpponentScoreCompetition
Nov 18, 2018İnegölspor(home)0-12. Lig
Nov 11, 2018Ankara Demirspor(away)0-02. Lig
Nov 4, 2018Eyüpspor(home)1-12. Lig
Oct 27, 2018Sancaktepe Belediyespor(away)1-02. Lig
Oct 21, 2018Gümüşhanespor(home)1-42. Lig

How many goals should we expect?

Gaziantepspor score 0.9 and concede 2.2 goals per match over their last 15; Amed score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Gaziantepspor0.92.227/157/15
Amed0.91.445/155/15

Over the last 15 matches in all competitions.

A question about Gaziantepspor vs Amed?

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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