Match

Than Quang Ninh vs Sai Gon: result 1-0 and analysis

V.League 1Regular Season - 9Kick-off on May 7, 2016 at 11:00 AM (UTC)Cẩm Phả Stadium, Cua Ong

Than Quang Ninh
1-0
Sai Gon

Full time

What was the result of Than Quang Ninh vs Sai Gon?

Than Quang Ninh won 1-0 on May 7, 2016.

Goalscorers

  • 89′Vũ Minh TuấnThan Quang Ninh (pen.)

Official lineup for Than Quang Ninh vs Sai Gon

The starting elevens fielded at kick-off.

Than Quang Ninh

  1. 6Vũ Minh Tuấn
  2. 8Bùi Văn Hiếu
  3. 9R. Djachenko
  4. 12Hoa Hùng Trịnh
  5. 14Nguyễn Hải Huy
  6. 77Xuân Tú Nghiêm
  7. 10G. Bisan
  1. 2Dương Văn Khoa
  2. 5Nguyễn Minh Tùng
  3. 35Tuấn Tú Lê
  1. 26Huỳnh Tuấn Linh

Sai Gon

  1. 9Duy Long Trịnh
  2. 19Trương Công Thảo
  1. 14Đỗ Văn Thuận
  2. 27Trần Đức Trung
  3. 6Chu Khánh Thành
  4. 7Nguyễn Ngọc Duy
  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, Than Quang Ninh have 7 wins, 1 draw and 7 defeats; Sai Gon have 2, 1 and 1.

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

Than Quang Ninh
DateOpponentScoreCompetition
Apr 30, 2016Dong Thap(home)4-0V.League 1
Apr 23, 2016Hai Phong(away)1-2V.League 1
Apr 16, 2016Song Lam Nghe An(home)3-1V.League 1
Apr 10, 2016Da Nang(away)0-1V.League 1
Mar 12, 2016FLC Thanh Hoa(home)2-4V.League 1
Sai Gon
DateOpponentScoreCompetition
Apr 30, 2016Sanna Khanh Hoa(away)2-0V.League 1
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?

Than Quang Ninh score 1.8 and concede 1.3 goals per match over their last 15; Sai Gon score 1.3 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Than Quang Ninh1.81.348/1510/15
Sai Gon1.30.521/41/4

Over the last 15 matches in all competitions.

A question about Than Quang Ninh 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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