Match

Miami vs Tampa Bay Rowdies: result 2-0 and analysis

US Open Cup3rd RoundKick-off on May 31, 2017 at 11:30 PM (UTC)

Miami
2-0
Tampa Bay Rowdies

Full time

What was the result of Miami vs Tampa Bay Rowdies?

Miami won 2-0 on May 31, 2017.

Goalscorers

  • 74′Vincenzo Renato RennellaMiami (pen.)
  • 84′Jaime Day ChávezMiami

Official lineup for Miami vs Tampa Bay Rowdies

The starting elevens fielded at kick-off.

Miami

  1. 8Vincenzo Renato Rennella
  2. 9Jaime Day Chávez
  1. 10Kwadwo Poku
  2. 20Richie Ryan
  3. 21C. Rezende
  4. 26Michael Lahoud
  5. 14R. Kcira
  1. 2Jonathan Borrajo
  2. 5Mason Trafford
  3. 15Hunter Freeman
  1. 17D. Vega

Tampa Bay Rowdies

  1. 7Darwin Jones
  1. 2D. King
  2. 4M. Schäfer
  3. 11Leo Fernandes
  4. 23M. Nanchoff
  5. 26J. Cole
  6. 10G. Hristov
  1. 3N. Collins
  2. 14Luke Boden
  3. 31D. Lowe
  1. 50A. Fitzgerald
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Miami have 1 win, 0 draws and 1 defeat; Tampa Bay Rowdies have 8, 3 and 4.

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

Miami
DateOpponentScoreCompetition
May 17, 2017Treasure Coast Tritons(home)3-2US Open Cup
Jun 2, 2016Wilmington Hammerheads(home)1-2US Open Cup
Tampa Bay Rowdies
DateOpponentScoreCompetition
May 27, 2017Saint Louis(home)1-1USL Championship
May 24, 2017Rochester Rhinos(away)0-1USL Championship
May 19, 2017Toronto II(away)3-1USL Championship
May 16, 2017Jacksonville Armada II(home)3-0US Open Cup
May 13, 2017Louisville City(home)2-0USL Championship

How many goals should we expect?

Miami score 2.0 and concede 2.0 goals per match over their last 2; Tampa Bay Rowdies score 1.4 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Miami2.02.002/22/2
Tampa Bay Rowdies1.40.985/156/15

Over the last 2 matches in all competitions.

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

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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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