Match

Sanna Khanh Hoa vs Sai Gon: result 0-2 and analysis

V.League 1Matchday 8Kick-off on April 30, 2016 at 10:00 AM (UTC)Sân vận động 19 tháng 8 (Nha Trang Stadium), Nha Trang

Sanna Khanh Hoa
0-2
Sai Gon

Full time

What was the result of Sanna Khanh Hoa vs Sai Gon?

Sai Gon won 0-2 on April 30, 2016.

Goalscorers

  • 32′Duy Long TrịnhSai Gon
  • 68′Duy Long TrịnhSai Gon

Official lineup for Sanna Khanh Hoa vs Sai Gon

The starting elevens fielded at kick-off.

Sanna Khanh Hoa

  1. 20Trần Đình Kha
  1. 9Trần Đình Khương
  2. 13Nguyễn Hoàng Quốc Chí
  3. 23Cao Văn Triền
  4. 3Trần Trọng Bình
  5. 4Trần Văn Vũ
  6. 19Nguyến Tấn Tài
  7. 31Phan Viết Đàn
  8. 39Nguyễn Tấn Điền
  1. 14Chaher Zarour
  1. 26Nguyễn Tuấn Mạnh

Sai Gon

  1. 9Duy Long Trịnh
  2. 19Trương Công Thảo
  1. 14Đỗ Văn Thuận
  2. 27Trần Đức Trung
  3. 6Chu Khánh Thành
  4. 20Nguyễn Xuân Dương
  5. 22Nguyễn Quốc Long
  6. 33A. Mwesigwa
  1. 4Nguyễn Văn Ngọ
  2. 21Đình Trọng Trần
  1. 24Tống Đức An
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sanna Khanh Hoa have 7 wins, 1 draw and 7 defeats; Sai Gon have 1, 1 and 1.

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

Sanna Khanh Hoa
DateOpponentScoreCompetition
Apr 23, 2016Quang Nam(away)1-1V.League 1
Apr 15, 2016Binh Duong(away)1-3V.League 1
Apr 10, 2016Long An(home)2-0V.League 1
Mar 12, 2016Ha Noi T&T(home)1-0V.League 1
Mar 5, 2016Da Nang(away)0-1V.League 1
Sai Gon
DateOpponentScoreCompetition
Apr 24, 2016Long An(home)3-1V.League 1
Apr 17, 2016Quang Nam(home)0-0V.League 1
Apr 10, 2016Song Lam Nghe An(away)0-1V.League 1

How many goals should we expect?

Sanna Khanh Hoa score 1.1 and concede 1.5 goals per match over their last 15; Sai Gon score 1.0 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sanna Khanh Hoa1.11.536/158/15
Sai Gon1.00.711/31/3

Over the last 15 matches in all competitions.

A question about Sanna Khanh Hoa vs Sai Gon?

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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