Match

Penn vs Toronto II: result 3-2 and analysis

USL ChampionshipRegular Season - 21Kick-off on June 9, 2018 at 11:00 PM (UTC)FNB FIELD, Harrisburg, Pennsylvania

Penn
3-2
Toronto II

Full time

What was the result of Penn vs Toronto II?

Penn won 3-2 on June 9, 2018.

Goalscorers

  • 13′A. AkinolaToronto II
  • 53′K. TribbettPenn
  • 55′K. TribbettPenn
  • 68′J. HamiltonToronto II
  • 90′J. OrtízPenn (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Penn have 4 wins, 5 draws and 6 defeats; Toronto II have 1, 2 and 12.

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

Penn
DateOpponentScoreCompetition
Jun 3, 2018Nashville(away)1-3USL Championship
May 26, 2018Pittsburgh Riverhounds(away)0-0USL Championship
May 23, 2018Richmond Kickers(away)2-3US Open Cup
May 16, 2018FC Motown(away)3-1US Open Cup
May 9, 2018Toronto II(away)1-0USL Championship
Toronto II
DateOpponentScoreCompetition
May 30, 2018Ottawa Fury(away)0-3USL Championship
May 26, 2018Tampa Bay Rowdies(home)2-4USL Championship
May 19, 2018Charlotte Independence(away)1-2USL Championship
May 16, 2018Atlanta United II(away)4-5USL Championship
May 9, 2018Penn(home)0-1USL Championship

What does the head-to-head say?

Across the last 6 meetings: 5 Penn win(s), 0 draw(s), 1 Toronto II win(s).

DateScoreCompetition
May 9, 2018Toronto II 0-1 PennUSL Championship
Sep 16, 2017Penn 2-1 Toronto IIUSL Championship
Jul 1, 2017Toronto II 3-4 PennUSL Championship
Aug 14, 2016Toronto II 0-1 PennUSL Championship
Jul 10, 2016Penn 2-4 Toronto IIUSL Championship
May 24, 2016Penn 2-1 Toronto IIUSL Championship

Last archived meeting: Toronto II vs Penn on May 9, 2018

How many goals should we expect?

Penn score 0.9 and concede 1.2 goals per match over their last 15; Toronto II score 1.1 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Penn0.91.265/156/15
Toronto II1.12.338/1510/15

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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