Match

Richmond Kickers vs Ottawa Fury: result 0-1 and analysis

USL ChampionshipMatchday 5Kick-off on April 15, 2017 at 09:00 PM (UTC)City Stadium, Richmond, Virginia

Richmond Kickers
0-1
Ottawa Fury

Full time

What was the result of Richmond Kickers vs Ottawa Fury?

Ottawa Fury won 0-1 on April 15, 2017.

Goalscorers

  • 79′Steevan dos SantosOttawa Fury

Official lineup for Richmond Kickers vs Ottawa Fury

The starting elevens fielded at kick-off.

Richmond Kickers

  1. 45A. Kamara
  2. 71Luiz Fernando
  1. 5Conor Shanosky
  2. 9Oliver Thomal Minatel
  3. 33M. Tissot
  4. 4F. Sekyere
  5. 15M. Roberts
  6. 16P. McCann
  7. 31B. Troyer
  1. 18A. Lee
  1. 30M. Turner

Ottawa Fury

  1. 8Steevan dos Santos
  1. 7R. Williams
  2. 10G. Bruna
  3. 22Jamar Dixon
  4. 25L. Rozeboom
  5. 3E. Edward
  6. 4R. del Campo
  7. 14O. Obasi
  1. 6S. McEleney
  2. 12Andrae Campbell
  1. 1C. Irving
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Richmond Kickers have 5 wins, 4 draws and 6 defeats; Ottawa Fury have 0, 0 and 2.

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

Richmond Kickers
DateOpponentScoreCompetition
Apr 8, 2017Louisville City(home)0-1USL Championship
Apr 1, 2017New York RB II(away)0-1USL Championship
Mar 25, 2017Penn(home)1-0USL Championship
Oct 2, 2016Louisville City(away)0-2USL Championship
Sep 24, 2016Wilmington Hammerheads(away)0-2USL Championship
Ottawa Fury
DateOpponentScoreCompetition
Apr 8, 2017Tampa Bay Rowdies(away)0-1USL Championship
Apr 2, 2017Saint Louis(away)2-3USL Championship

How many goals should we expect?

Richmond Kickers score 0.7 and concede 1.0 goals per match over their last 15; Ottawa Fury score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Richmond Kickers0.71.046/153/15
Ottawa Fury1.02.001/21/2

Over the last 15 matches in all competitions.

A question about Richmond Kickers vs Ottawa Fury?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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