Match

Altınordu vs Amed: result 3-1 and analysis

Türkiye Kupası4th RoundKick-off on October 29, 2019 at 10:00 AM (UTC)Bornova Aziz Kocaoğlu Stadyumu, İzmir

Altınordu
3-1
Amed

Full time

What was the result of Altınordu vs Amed?

Altınordu won 3-1 on October 29, 2019.

Goalscorers

  • 16′A. KoçAltınordu
  • 34′Yasin OzanAltınordu
  • 66′A. KoçAltınordu
  • 68′B. TaşdemirAmed

Official lineup for Altınordu vs Amed

The starting elevens fielded at kick-off.

Altınordu

  1. 7A. Koç
  2. 21B. İnce
  3. 39O. Derici
  4. 53E. Aslıyüksek
  5. 77Yasin Ozan
  1. 18Egehan Gök
  1. 2K. Demirtaş
  2. 20A. Aydın
  3. 23Yusuf Yalçın Arslan
  4. 41O. Takır
  1. 12A. Yanar

Amed

  1. 91M. Yılmaz
  1. 8B. Yürür
  2. 18O. Alkan
  3. 21Abdullah Çetin
  4. 72M. Çalar
  1. 2Hasan Erbey
  2. 22Y. Kayaalp
  3. 24O. Özden
  4. 34R. Çeri
  5. 51T. Tekin
  1. 1E. Yokuşlu
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Altınordu have 5 wins, 3 draws and 7 defeats; Amed have 3, 5 and 7.

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

Altınordu
DateOpponentScoreCompetition
Oct 26, 2019Ümraniyespor(away)0-41. Lig
Oct 20, 2019Altay(home)0-31. Lig
Oct 6, 2019Erzurumspor FK(away)0-11. Lig
Sep 30, 2019Adana Demirspor(home)2-21. Lig
Sep 24, 2019Anadolu Selçukspor(home)0-0Türkiye Kupası
Amed
DateOpponentScoreCompetition
Oct 26, 2019Pendikspor(away)1-32. Lig
Oct 20, 2019Gümüşhanespor(home)1-12. Lig
Oct 13, 2019Anadolu Selçukspor(away)1-02. Lig
Oct 9, 2019Samsunspor(home)0-02. Lig
Oct 5, 2019Sarıyer(away)1-12. Lig

How many goals should we expect?

Altınordu score 1.3 and concede 1.5 goals per match over their last 15; Amed score 0.8 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Altınordu1.31.538/1511/15
Amed0.81.455/157/15

Over the last 15 matches in all competitions.

A question about Altınordu 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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