Match

New York RB II vs Penn: result 0-1 and analysis

USL ChampionshipRegular Season - 3Kick-off on April 5, 2017 at 11:00 PM (UTC)MSU Soccer Park at Pittser Field, Montclair, New Jersey

New York RB II
0-1
Penn

Full time

What was the result of New York RB II vs Penn?

Penn won 0-1 on April 5, 2017.

Goalscorers

  • 62′M. SanchezPenn

What is the recent form of both teams?

Over their last 15 matches in all competitions, New York RB II have 11 wins, 4 draws and 0 defeats; Penn have 4, 6 and 5.

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

New York RB II
DateOpponentScoreCompetition
Apr 1, 2017Richmond Kickers(home)1-0USL Championship
Mar 25, 2017Pittsburgh Riverhounds(away)3-3USL Championship
Oct 24, 2016Sporting KC II(home)5-1USL Championship
Oct 16, 2016Louisville City(home)2-2USL Championship
Oct 7, 2016Rochester Rhinos(home)5-5USL Championship
Penn
DateOpponentScoreCompetition
Mar 25, 2017Richmond Kickers(away)0-1USL Championship
Sep 24, 2016FC Montréal(away)3-1USL Championship
Sep 17, 2016Wilmington Hammerheads(home)1-1USL Championship
Sep 7, 2016New York RB II(home)1-4USL Championship
Aug 30, 2016Philadelphia Union II(home)2-2USL Championship

What does the head-to-head say?

Across the last 6 meetings: 4 New York RB II win(s), 0 draw(s), 2 Penn win(s).

DateScoreCompetition
Sep 7, 2016Penn 1-4 New York RB IIUSL Championship
Aug 2, 2016Penn 0-5 New York RB IIUSL Championship
Jun 9, 2016New York RB II 1-0 PennUSL Championship
Jul 18, 2015Penn 0-2 New York RB IIUSL Championship
Jul 12, 2015New York RB II 0-2 PennUSL Championship
May 9, 2015New York RB II 1-2 PennUSL Championship

Last archived meeting: Penn vs New York RB II on Sep 7, 2016

How many goals should we expect?

New York RB II score 2.8 and concede 1.0 goals per match over their last 15; Penn score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
New York RB II2.81.078/159/15
Penn1.11.739/157/15

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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