Quang Nam vs Sai Gon: result 3-3 and analysis
V.League 1Regular Season - 14Kick-off on July 3, 2016 at 09:30 AM (UTC)Sân Vận Động Hòa Xuân, Đà Nẵng (Da Nang)
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What was the result of Quang Nam vs Sai Gon?
Quang Nam and Sai Gon drew 3-3 on July 3, 2016.
Goalscorers
- 23′Claudecir dos Reis Rodrigues JuniorQuang Nam
- 39′65271Quang Nam
- 57′Đinh Thanh TrungQuang Nam
- 85′Trần Hữu ThắngSai Gon
- 89′Carlos Eduardo dos Santos LimaSai Gon
- 90′Trương Công ThảoSai Gon
What is the recent form of both teams?
Over their last 15 matches in all competitions, Quang Nam have 6 wins, 6 draws and 3 defeats; Sai Gon have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | Hoang Anh Gia Lai(away) | 4-1 | V.League 1 |
| Jun 19, 2016 | Dong Thap(home) | 2-0 | V.League 1 |
| May 22, 2016 | Ha Noi T&T(away) | 0-3 | V.League 1 |
| May 18, 2016 | Binh Duong(home) | 2-1 | V.League 1 |
| May 13, 2016 | Than Quang Ninh(home) | 1-1 | V.League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2016 | Can Tho(home) | 0-1 | V.League 1 |
| Jun 19, 2016 | Hai Phong(away) | 1-1 | V.League 1 |
| May 22, 2016 | Binh Duong(away) | 1-1 | V.League 1 |
| May 14, 2016 | FLC Thanh Hoa(home) | 3-1 | V.League 1 |
| May 7, 2016 | Than Quang Ninh(away) | 0-1 | V.League 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Quang Nam win(s), 1 draw(s), 0 Sai Gon win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2016 | Sai Gon 0-0 Quang Nam | V.League 1 |
How many goals should we expect?
Quang Nam score 1.3 and concede 0.9 goals per match over their last 15; Sai Gon score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Quang Nam | 1.3 | 0.9 | 5 | 7/15 | 5/15 |
| Sai Gon | 1.1 | 0.8 | 2 | 4/9 | 2/9 |
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