Match

Penn vs New York RB II: result 0-5 and analysis

USL ChampionshipRegular Season - 30Kick-off on August 2, 2016 at 11:00 PM (UTC)FNB FIELD, Harrisburg, Pennsylvania

Penn
0-5
New York RB II

Full time

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

New York RB II won 0-5 on August 2, 2016.

Goalscorers

  • 27′A. AbangNew York RB II (pen.)
  • 64′Daniel James MetzgerNew York RB II
  • 76′Z. SimparaNew York RB II
  • 78′V. BezecourtNew York RB II
  • 86′V. BezecourtNew York RB II

What is the recent form of both teams?

Over their last 15 matches in all competitions, Penn have 4 wins, 2 draws and 9 defeats; New York RB II have 9, 3 and 3.

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

Penn
DateOpponentScoreCompetition
Jul 29, 2016Rochester Rhinos(home)1-1USL Championship
Jul 21, 2016Philadelphia Union II(away)1-0USL Championship
Jul 17, 2016Pittsburgh Riverhounds(away)2-1USL Championship
Jul 10, 2016Toronto II(home)2-4USL Championship
Jul 8, 2016Richmond Kickers(home)0-3USL Championship
New York RB II
DateOpponentScoreCompetition
Jul 30, 2016Richmond Kickers(away)1-2USL Championship
Jul 23, 2016Charleston Battery(home)2-3USL Championship
Jul 20, 2016FC Cincinnati(away)2-1USL Championship
Jul 17, 2016Charlotte Independence(away)2-1USL Championship
Jul 9, 2016FC Montréal(away)4-2USL Championship

What does the head-to-head say?

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

DateScoreCompetition
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: New York RB II vs Penn on Jun 9, 2016

How many goals should we expect?

Penn score 1.1 and concede 1.8 goals per match over their last 15; New York RB II score 1.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Penn1.11.829/159/15
New York RB II1.71.068/158/15

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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