Match

Laredo Heat vs Brazos Valley: result 1-0 and analysis

US Open Cup1st RoundKick-off on May 8, 2019 at 01:15 AM (UTC)Texas A&M International University Soccer Complex, Laredo, Texas

Laredo Heat
1-0
Brazos Valley

Full time

What was the result of Laredo Heat vs Brazos Valley?

Laredo Heat won 1-0 on May 8, 2019.

Goalscorers

  • 60′Francois SakouLaredo Heat (pen.)

Official lineup for Laredo Heat vs Brazos Valley

The starting elevens fielded at kick-off.

Laredo Heat

  1. 17Johan Portales
  2. 21Francois Sakou
  1. 8Jose Luis Hincapie
  2. 20Katsuyoshi Kimishima
  3. 1C. Herrera
  4. 6S. Samura
  5. 18D. Rebolledo
  1. 2Diamond Ingram
  2. 3Jorge Rodriguez
  3. 4Sebastián Pages León
  4. 22Abraham Contreras

Brazos Valley

  1. 7P. Goodrum
  1. 10J. Ortiz
  2. 20E. Caceres
  3. 22J. Servania
  4. 1A. Rios
  5. 3Z. Brockert-Kress
  6. 9J. Anderson
  7. 11H. Soto
  8. 14I. Leon
  9. 17E. Monge
  10. 21D. Reynolds
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Laredo Heat have 4 wins, 2 draws and 3 defeats; Brazos Valley have 0, 0 and 1.

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

Laredo Heat
DateOpponentScoreCompetition
May 21, 2015Austin Aztex(away)0-2US Open Cup
May 14, 2015NTX Rayados(home)0-0US Open Cup
Jun 12, 2014Houston Dynamo(away)0-1US Open Cup
May 28, 2014Fort Lauderdale Strikers(away)3-2US Open Cup
May 15, 2014Red Force(home)2-1US Open Cup
Brazos Valley
DateOpponentScoreCompetition
Jul 20, 2018SIMA Águilas(away)1-2USL League Two

How many goals should we expect?

Laredo Heat score 1.4 and concede 1.3 goals per match over their last 9; Brazos Valley score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Laredo Heat1.41.324/94/9
Brazos Valley1.02.001/11/1

Over the last 9 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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