Match

Ottawa Fury vs Penn: result 1-0 and analysis

USL ChampionshipRegular Season - 17Kick-off on June 10, 2017 at 11:00 PM (UTC)

Ottawa Fury
1-0
Penn

Full time

What was the result of Ottawa Fury vs Penn?

Ottawa Fury won 1-0 on June 10, 2017.

Goalscorers

  • 55′S. SeoaneOttawa Fury

Official lineup for Ottawa Fury vs Penn

The starting elevens fielded at kick-off.

Ottawa Fury

  1. 11S. Seoane
  1. 7R. Williams
  2. 10G. Bruna
  3. 22Jamar Dixon
  4. 25L. Rozeboom
  5. 3E. Edward
  6. 14O. Obasi
  1. 5Kyle Venter
  2. 6S. McEleney
  3. 12Andrae Campbell
  1. 1C. Irving

Penn

  1. 11A. Wheeler
  1. 8M. Dabo
  2. 30Pedro Ribeiro
  3. 14D. DiPrima
  4. 15L. Nishanian
  5. 17J. Thomas
  1. 5Tiago Coelho Branco Calvano
  2. 16Jake Bond
  3. 18Mohammed Abass
  4. 23Shawn McLaws
  1. 21S. Lewis
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Ottawa Fury have 3 wins, 4 draws and 3 defeats; Penn have 4, 6 and 5.

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

Ottawa Fury
DateOpponentScoreCompetition
Jun 4, 2017Philadelphia Union II(away)1-1USL Championship
May 27, 2017Richmond Kickers(home)5-3USL Championship
May 20, 2017New York RB II(away)4-3USL Championship
May 13, 2017Pittsburgh Riverhounds(home)0-1USL Championship
May 6, 2017Tampa Bay Rowdies(home)0-0USL Championship
Penn
DateOpponentScoreCompetition
May 31, 2017Reading United(away)3-0US Open Cup
May 28, 2017Philadelphia Union II(away)1-3USL Championship
May 24, 2017Pittsburgh Riverhounds(home)0-0USL Championship
May 20, 2017Charleston Battery(home)2-2USL Championship
May 17, 2017Ocean City Nor'easters(away)0-0US Open Cup

How many goals should we expect?

Ottawa Fury score 1.5 and concede 1.4 goals per match over their last 10; Penn score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ottawa Fury1.51.435/104/10
Penn1.11.358/157/15

Over the last 10 matches in all competitions.

A question about Ottawa Fury vs Penn?

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Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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