Match

Tepecikspor vs Amed: result 1-1 and analysis

2. LigMatchday 5Kick-off on October 2, 2016 at 10:30 AM (UTC)Ziya Altınoğlu Stadyumu, İstanbul

Tepecikspor
1-1
Amed

Full time

What was the result of Tepecikspor vs Amed?

Tepecikspor and Amed drew 1-1 on October 2, 2016.

Goalscorers

  • 29′Gökhan AydaşTepecikspor
  • 84′Kamil İçerAmed

Official lineup for Tepecikspor vs Amed

The starting elevens fielded at kick-off.

Tepecikspor

  1. 9Gökhan Aydaş
  2. 19Ömer Yalçın
  3. 21A. Doğan
  4. 26Fırat Bozkurt
  1. 4R. Metin
  2. 54Anıl Abanoz
  1. 2Hasan Erbey
  2. 3Caner Bulut
  3. 22Hüseyin Tokmak
  4. 41E. Kulaç
  1. 99Murat Çoşkun

Amed

  1. 9Şehmuz Özer
  2. 62Deniz Naki
  1. 5E. Çapar
  2. 7Ercüment Balıkcı
  3. 61S. İstemi
  4. 72M. Çalar
  1. 3K. Şanlı
  2. 4Kamil İçer
  3. 14Ş. Güngör
  4. 23O. Çetinkaya
  1. 1K. Sarı
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Tepecikspor have 4 wins, 3 draws and 8 defeats; Amed have 8, 6 and 1.

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

Tepecikspor
DateOpponentScoreCompetition
Sep 25, 2016Kahramanmaraşspor(away)2-32. Lig
Sep 21, 2016Manavgatspor(home)3-3Türkiye Kupası
Sep 17, 2016Hacettepe Spor(home)0-32. Lig
Sep 10, 2016Pendikspor(away)0-02. Lig
Sep 3, 2016Sivas Belediyespor(home)0-12. Lig
Amed
DateOpponentScoreCompetition
Sep 25, 2016İstanbulspor(home)1-02. Lig
Sep 21, 2016Niğde Anadolu(home)2-0Türkiye Kupası
Sep 17, 2016Nazilli Spor(away)1-12. Lig
Sep 10, 2016Anadolu Selçukspor(home)1-12. Lig
Sep 3, 2016Erzurumspor FK(away)2-12. Lig

How many goals should we expect?

Tepecikspor score 1.3 and concede 2.1 goals per match over their last 15; Amed score 1.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tepecikspor1.32.129/1511/15
Amed1.81.3411/159/15

Over the last 15 matches in all competitions.

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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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