Match

Penn vs Nashville: result 0-0 and analysis

USL ChampionshipRegular Season - 10Kick-off on April 24, 2018 at 10:30 PM (UTC)FNB FIELD, Harrisburg, Pennsylvania

Penn
0-0
Nashville

Full time

What was the result of Penn vs Nashville?

Penn and Nashville drew 0-0 on April 24, 2018.

Official lineup for Penn vs Nashville

The starting elevens fielded at kick-off.

Penn

  1. 29Tommy Heinemann
  1. 7J. Ortíz
  2. 11J. Rivera
  3. 12Pedro Daniel Galvão
  4. 14Richard Guillermo Menjívar Peraza
  5. 15Miguel Jaime
  6. 26F. Opoku
  1. 4K. Tribbett
  2. 6Kyle Venter
  3. 23Marco Franco
  1. 13S. Lewis

Nashville

  1. 3R. Mensah
  1. 8Robin Shroot
  2. 27Kosuke Kimura
  3. 10L. Moloto
  4. 17M. Reed
  1. 2Justin Davis
  2. 11David Edward Edgar
  3. 22B. Bourgeois
  4. 23T. Washington
  5. 30B. Akinyode
  1. 18Matt Pickens
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Penn have 4 wins, 4 draws and 7 defeats; Nashville have 2, 1 and 2.

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

Penn
DateOpponentScoreCompetition
Apr 21, 2018Charleston Battery(home)1-1USL Championship
Apr 8, 2018Atlanta United II(away)1-1USL Championship
Mar 31, 2018Pittsburgh Riverhounds(away)0-0USL Championship
Mar 24, 2018Charleston Battery(away)0-1USL Championship
Oct 7, 2017Charleston Battery(away)0-4USL Championship
Nashville
DateOpponentScoreCompetition
Apr 14, 2018Indy Eleven(away)1-2USL Championship
Apr 8, 2018Charlotte Independence(home)2-0USL Championship
Mar 31, 2018Philadelphia Union II(away)1-0USL Championship
Mar 24, 2018Pittsburgh Riverhounds(home)0-0USL Championship
Mar 17, 2018Louisville City(away)0-2USL Championship

How many goals should we expect?

Penn score 0.8 and concede 1.7 goals per match over their last 15; Nashville score 0.8 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Penn0.81.736/157/15
Nashville0.80.831/51/5

Over the last 15 matches in all competitions.

A question about Penn vs Nashville?

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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