Match

Jiangsu Suning vs Tianjin Songjiang: result 1-1 and analysis

Super LeagueRegular Season - 21Kick-off on September 2, 2018 at 11:35 AM (UTC)Nanjing Olympic Sports Center, Nanjing

Jiangsu Suning
1-1
Tianjin Songjiang

Full time

What was the result of Jiangsu Suning vs Tianjin Songjiang?

Jiangsu Suning and Tianjin Songjiang drew 1-1 on September 2, 2018.

Goalscorers

  • 19′Alex TeixeiraJiangsu Suning
  • 81′Su YuanjieTianjin Songjiang

What is the recent form of both teams?

Over their last 15 matches in all competitions, Jiangsu Suning have 6 wins, 6 draws and 3 defeats; Tianjin Songjiang have 5, 5 and 5.

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

Jiangsu Suning
DateOpponentScoreCompetition
Aug 26, 2018Guangzhou R&F(home)2-0Super League
Aug 18, 2018Tianjin Teda(away)1-1Super League
Aug 15, 2018Chongqing Lifan(home)0-0Super League
Aug 10, 2018Beijing Guoan(away)1-3Super League
Aug 5, 2018Guizhou Zhicheng(home)3-1Super League
Tianjin Songjiang
DateOpponentScoreCompetition
Aug 28, 2018Kashima(away)0-2AFC Champions League Elite
Aug 24, 2018Guizhou Zhicheng(home)1-0Super League
Aug 19, 2018Guangzhou Evergrande FC(away)0-5Super League
Aug 15, 2018Tianjin Teda(home)0-0Super League
Aug 12, 2018Beijing Renhe(away)3-3Super League

What does the head-to-head say?

Across the last 3 meetings: 1 Jiangsu Suning win(s), 2 draw(s), 0 Tianjin Songjiang win(s).

DateScoreCompetition
Apr 13, 2018Tianjin Songjiang 1-1 Jiangsu SuningSuper League
Sep 28, 2017Jiangsu Suning 1-0 Tianjin SongjiangSuper League
Apr 29, 2017Tianjin Songjiang 2-2 Jiangsu SuningSuper League

Last archived meeting: Tianjin Songjiang vs Jiangsu Suning on Apr 13, 2018

How many goals should we expect?

Jiangsu Suning score 1.2 and concede 0.7 goals per match over their last 15; Tianjin Songjiang score 1.2 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jiangsu Suning1.20.776/153/15
Tianjin Songjiang1.21.658/158/15

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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