Match

Santa Úrsula vs Buzanada: result 0-0 and analysis

Tercera División RFEF - Group 12Group 12 - 4Kick-off on September 14, 2019 at 03:30 PM (UTC)Estadio Argelio Tabares, Santa Úrsula

Santa Úrsula
0-0
Buzanada

Full time

What was the result of Santa Úrsula vs Buzanada?

Santa Úrsula and Buzanada drew 0-0 on September 14, 2019.

Official lineup for Santa Úrsula vs Buzanada

The starting elevens fielded at kick-off.

Santa Úrsula

  1. VVitolo
  2. DDavid Soto Barber
  3. FFélix Alonso
  4. JJoel Salazar
  5. PPedro González
  6. CChus
  1. VVicente Mesa Hernández
  2. MMiguel Rodríguez Pérez
  3. AAbraham
  4. AAzael González
  1. JJuanje

Buzanada

  1. AAyoze Hernández Morales
  2. AAdán Jesús
  3. KKevin Castro Cabrera
  1. JJavier Agustín Favarel
  2. EEfrén
  3. FFacundo Scrollini Fernández
  4. MMatías
  1. EEdgar
  2. RRamsés Morales Afonso
  3. AAlberto Cano Galindo
  1. EEdwing Morales Afonso
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Santa Úrsula have 0 wins, 2 draws and 1 defeat; Buzanada have 1, 1 and 1.

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

Santa Úrsula
DateOpponentScoreCompetition
Sep 8, 2019Marino(away)0-2Tercera División RFEF - Group 12
Aug 31, 2019Unión Viera(home)1-1Tercera División RFEF - Group 12
Aug 25, 2019Lanzarote(away)1-1Tercera División RFEF - Group 12
Buzanada
DateOpponentScoreCompetition
Sep 6, 2019Tenerife II(home)1-1Tercera División RFEF - Group 12
Aug 31, 2019Las Palmas III(home)2-1Tercera División RFEF - Group 12
Aug 25, 2019Marino(away)1-2Tercera División RFEF - Group 12

How many goals should we expect?

Santa Úrsula score 0.7 and concede 1.3 goals per match over their last 3; Buzanada score 1.3 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Santa Úrsula0.71.302/30/3
Buzanada1.31.303/32/3

Over the last 3 matches in all competitions.

A question about Santa Úrsula vs Buzanada?

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

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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