Match

Chicago Fire II vs Christos: result 0-1 and analysis

US Open Cup3rd RoundKick-off on June 1, 2017 at 12:00 AM (UTC)SeatGeek Stadium, Bridgeview, Illinois

Chicago Fire II
0-1
Christos

Full time

What was the result of Chicago Fire II vs Christos?

Christos won 0-1 on June 1, 2017.

Goalscorers

  • 1′L. HouapeuChristos

Official lineup for Chicago Fire II vs Christos

The starting elevens fielded at kick-off.

Chicago Fire II

  1. 7R. Sierakowski
  2. 8C. Mueller
  1. 5O. González
  2. 10J. Pérez
  3. 28Max de Bruijne
  4. 2S. Jackman
  5. 6C. Sánchez
  6. 17M. Catalano
  7. 23J. Farina
  1. 14M. Segbers
  1. 3A. Samaké

Christos

  1. 2L. Houapeu
  2. 9P. Caringi
  1. 5D. Baxter
  2. 6K. Forbess
  3. 8C. Albrecht
  4. 10E. Joe
  5. 13J. Glos
  6. 15J. Taylor
  7. 4C. Fisher
  8. 7C. Ports
  1. 1P. Saunders
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Chicago Fire II have 3 wins, 0 draws and 1 defeat; Christos have 2, 0 and 0.

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

Chicago Fire II
DateOpponentScoreCompetition
May 18, 2017Pittsburgh Riverhounds(home)3-1US Open Cup
May 12, 2017Grand Rapids(home)1-0US Open Cup
May 22, 2012Dayton Dutch Lions(home)1-2US Open Cup
May 15, 2012Croatian Eagles(home)1-0US Open Cup
Christos
DateOpponentScoreCompetition
May 17, 2017Richmond Kickers(away)1-0US Open Cup
May 10, 2017Fredericksburg(away)3-0US Open Cup

How many goals should we expect?

Chicago Fire II score 1.5 and concede 0.8 goals per match over their last 4; Christos score 2.0 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chicago Fire II1.50.822/42/4
Christos2.00.020/21/2

Over the last 4 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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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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