Match

Georgia Revolution vs Atlanta Silverbacks: result 2-3 and analysis

US Open Cup2nd RoundKick-off on May 21, 2013 at 11:00 PM (UTC)RYSA Soccerplex Field 1, Conyers, Georgia

Georgia Revolution
2-3
Atlanta Silverbacks

Full time

What was the result of Georgia Revolution vs Atlanta Silverbacks?

Atlanta Silverbacks won 2-3 on May 21, 2013.

Goalscorers

  • 4′R. LunaAtlanta Silverbacks
  • 16′240692Georgia Revolution
  • 31′R. LunaAtlanta Silverbacks (pen.)
  • 57′P. CruzAtlanta Silverbacks
  • 58′240693Georgia Revolution

What is the recent form of both teams?

Over their last 4 matches in all competitions, Georgia Revolution have 2 wins, 1 draw and 1 defeat; Atlanta Silverbacks have 1, 0 and 1.

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

Georgia Revolution
DateOpponentScoreCompetition
May 14, 2013Real Colorado Foxes(home)4-3US Open Cup
May 8, 2013Colorado Rovers(away)2-2US Open Cup
May 22, 2012Atlanta Silverbacks(home)0-1US Open Cup
May 15, 2012Mississippi Brilla(home)1-0US Open Cup
Atlanta Silverbacks
DateOpponentScoreCompetition
May 31, 2012Seattle Sounders(away)1-5US Open Cup
May 22, 2012Georgia Revolution(away)1-0US Open Cup

What does the head-to-head say?

In the last meeting: 0 Georgia Revolution wins, 0 draws, 1 Atlanta Silverbacks win.

DateScoreCompetition
May 22, 2012Georgia Revolution 0-1 Atlanta SilverbacksUS Open Cup

Last archived meeting: Georgia Revolution vs Atlanta Silverbacks on May 22, 2012

How many goals should we expect?

Georgia Revolution score 1.8 and concede 1.5 goals per match over their last 4; Atlanta Silverbacks score 1.0 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Georgia Revolution1.81.512/42/4
Atlanta Silverbacks1.02.511/21/2

Over the last 4 matches in all competitions.

A question about Georgia Revolution vs Atlanta Silverbacks?

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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