Match

New York Red Bulls vs NY Cosmos: result 4-1 and analysis

US Open Cup5th RoundKick-off on July 1, 2015 at 11:30 PM (UTC)Sports Illustrated Stadium, Harrison, New Jersey

New York Red Bulls
4-1
NY Cosmos

Full time

What was the result of New York Red Bulls vs NY Cosmos?

New York Red Bulls won 4-1 on July 1, 2015.

Goalscorers

  • 4′Salvatore ZizzoNew York Red Bulls
  • 16′L. MkosanaNY Cosmos
  • 42′A. AbangNew York Red Bulls
  • 54′S. KlještanNew York Red Bulls
  • 90′M. GrellaNew York Red Bulls

What is the recent form of both teams?

Over their last 15 matches in all competitions, New York Red Bulls have 6 wins, 4 draws and 5 defeats; NY Cosmos have 3, 1 and 1.

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

New York Red Bulls
DateOpponentScoreCompetition
Jun 28, 2015New York City FC(away)3-1Major League Soccer
Jun 24, 2015Real Salt Lake(home)1-0Major League Soccer
Jun 20, 2015Whitecaps(home)1-2Major League Soccer
Jun 16, 2015Atlanta Silverbacks(home)3-0US Open Cup
Jun 6, 2015Houston Dynamo(away)2-4Major League Soccer
NY Cosmos
DateOpponentScoreCompetition
Jun 17, 2015New York City FC(home)4-4US Open Cup
May 27, 2015Jersey Express(home)3-0US Open Cup
Jun 24, 2014Philadelphia Union(away)1-2US Open Cup
Jun 15, 2014New York Red Bulls(home)3-0US Open Cup
May 28, 2014Brooklyn Italians(home)2-0US Open Cup

What does the head-to-head say?

Across the last 1 meetings: 0 New York Red Bulls win(s), 0 draw(s), 1 NY Cosmos win(s).

DateScoreCompetition
Jun 15, 2014NY Cosmos 3-0 New York Red BullsUS Open Cup

Last archived meeting: NY Cosmos vs New York Red Bulls on Jun 15, 2014

How many goals should we expect?

New York Red Bulls score 1.5 and concede 1.3 goals per match over their last 15; NY Cosmos score 2.6 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
New York Red Bulls1.51.3410/159/15
NY Cosmos2.61.232/54/5

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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