Match

Sai Gon vs Quang Nam: result 4-1 and analysis

V.League 1Regular Season - 26Kick-off on October 8, 2018 at 10:00 AM (UTC)Sân vận động Thống Nhất (Thong Nhat Stadium), Thành phố Hồ Chí Minh (Ho Chi Minh City)

Sai Gon
4-1
Quang Nam

Full time

What was the result of Sai Gon vs Quang Nam?

Sai Gon won 4-1 on October 8, 2018.

Goalscorers

  • 5′Quang Vinh TrịnhSai Gon
  • 23′Quang Vinh TrịnhSai Gon
  • 48′Dominique Da SylvaSai Gon
  • 65′Hoàng Thiên LêSai Gon
  • 89′Đinh Thanh TrungQuang Nam (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Sai Gon have 7 wins, 0 draws and 8 defeats; Quang Nam have 4, 6 and 5.

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

Sai Gon
DateOpponentScoreCompetition
Oct 2, 2018Than Quang Ninh(away)2-1V.League 1
Sep 28, 2018Da Nang(home)1-0V.League 1
Sep 19, 2018Ho Chi Minh(away)0-5V.League 1
Sep 15, 2018Hai Phong(away)0-1V.League 1
Sep 9, 2018Binh Duong(home)2-0V.League 1
Quang Nam
DateOpponentScoreCompetition
Oct 2, 2018Da Nang(home)2-2V.League 1
Sep 28, 2018Than Quang Ninh(home)2-3V.League 1
Sep 19, 2018FLC Thanh Hoa(away)0-5V.League 1
Sep 15, 2018Can Tho(away)2-1V.League 1
Sep 8, 2018Ho Chi Minh(home)2-1V.League 1

What does the head-to-head say?

Across the last 5 meetings: 1 Sai Gon win(s), 4 draw(s), 0 Quang Nam win(s).

DateScoreCompetition
Mar 10, 2018Quang Nam 1-1 Sai GonV.League 1
Jul 2, 2017Quang Nam 1-1 Sai GonV.League 1
Apr 7, 2017Sai Gon 2-1 Quang NamV.League 1
Jul 3, 2016Quang Nam 3-3 Sai GonV.League 1
Apr 17, 2016Sai Gon 0-0 Quang NamV.League 1

Last archived meeting: Quang Nam vs Sai Gon on Mar 10, 2018

How many goals should we expect?

Sai Gon score 1.4 and concede 1.5 goals per match over their last 15; Quang Nam score 1.6 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sai Gon1.41.537/158/15
Quang Nam1.61.9112/1511/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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