Match

Houston Dynamo vs CF Pachuca: result 0-0 and analysis

Leagues CupRound of 32Kick-off on August 3, 2023 at 01:00 AM (UTC)Shell Energy Stadium, Houston, Texas

Houston Dynamo
0-0
CF Pachuca

Full time

What was the result of Houston Dynamo vs CF Pachuca?

Houston Dynamo and CF Pachuca drew 0-0 on August 3, 2023.

Official lineup for Houston Dynamo vs CF Pachuca

The starting elevens fielded at kick-off.

Houston Dynamo

4-4-2
  1. 9R. de la Rosa
  2. 7L. Di Yorio
  1. 35B. González
  2. 196E. Montiel
  3. 10É. Sánchez
  4. 80D. Terans
  1. 199M. Rodríguez
  2. 2S. Barreto
  3. 22G. Cabral
  4. 14J. Castillo
  1. 25C. Moreno

CF Pachuca

4-2-3-1
  1. 18A. Ibrahim
  1. 11C. Baird
  2. 8A. Bassi
  3. 20A. Carrasquilla
  1. 16H. Herrera
  2. 6Artur
  1. 2F. Escobar
  2. 31Micael
  3. 28E. Sviatchenko
  4. 25G. Dorsey
  1. 12S. Clark
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Houston Dynamo have 6 wins, 4 draws and 5 defeats; CF Pachuca have 5, 5 and 5.

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

Houston Dynamo
DateOpponentScoreCompetition
Jul 26, 2023Santos Laguna(away)2-2Leagues Cup
Jul 22, 2023Orlando City SC(away)1-1Leagues Cup
Jul 16, 2023Colorado Rapids(away)0-0Major League Soccer
Jul 13, 2023Minnesota United FC(home)0-3Major League Soccer
Jul 9, 2023Sporting Kansas City(home)2-2Major League Soccer
CF Pachuca
DateOpponentScoreCompetition
Jul 23, 2023Oviedo(home)1-1Friendlies Clubs
Jul 17, 2023U.N.A.M. - Pumas(home)1-1Liga MX
Jul 11, 2023Leon(away)0-4Liga MX
Jul 1, 2023Mazatlán(away)1-1Liga MX
Jun 25, 2023Tigres UANL(home)1-2Campeón de Campeones

How many goals should we expect?

Houston Dynamo score 1.7 and concede 1.6 goals per match over their last 15; CF Pachuca score 1.7 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Houston Dynamo1.71.647/1511/15
CF Pachuca1.71.6310/158/15

Over the last 15 matches in all competitions.

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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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