Match

Toledo vs Águilas: result 0-1 and analysis

Segunda División RFEF - Group 5Group 5 - 2Kick-off on September 12, 2021 at 04:00 PM (UTC)Estadio Municipal Salto del Caballo, Toledo

Toledo
0-1
Águilas

Full time

What was the result of Toledo vs Águilas?

Águilas won 0-1 on September 12, 2021.

Goalscorers

  • 9′T. JovićÁguilas

Official lineup for Toledo vs Águilas

The starting elevens fielded at kick-off.

Toledo

  1. DDiego Díaz
  2. RRubén Moreno
  3. AAlberto Bernardo
  1. VVíctor Andrés
  2. MMigue García
  3. AArturo Segado
  4. MM. Jabbie
  1. MMario Gómez
  2. CChele
  3. SS. Gomis
  1. JJavi Olmedo

Águilas

  1. AAbel Molinero
  2. CChumbi
  3. TT. Jović
  1. RRamón Árcas
  2. IIñigo Barrenetxea
  3. PPedro Torres
  1. MM. Gaffoor
  2. JJavi Pérez
  3. MM. Errahaly
  4. UUriel
  1. IIván Buigues
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Toledo have 8 wins, 5 draws and 2 defeats; Águilas have 5, 5 and 5.

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

Toledo
DateOpponentScoreCompetition
Sep 5, 2021Melilla(away)0-1Segunda División RFEF - Group 5
Aug 22, 2021Manchego(away)1-1Friendlies Clubs
Aug 8, 2021Villacañas(away)2-0Friendlies Clubs
Aug 5, 2021Real Oviedo II(away)1-0Friendlies Clubs
Jul 31, 2021SS Reyes(home)0-1Friendlies Clubs
Águilas
DateOpponentScoreCompetition
Sep 5, 2021Mancha Real(home)1-1Segunda División RFEF - Group 5
Aug 29, 2021Cartagena LU II(home)2-1Friendlies Clubs
Aug 21, 2021Ucam Murcia(home)1-1Friendlies Clubs
Aug 18, 2021Almería II(home)1-2Friendlies Clubs
Aug 15, 2021Lorca Deportiva(home)0-0Friendlies Clubs

How many goals should we expect?

Toledo score 1.5 and concede 0.5 goals per match over their last 15; Águilas score 1.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Toledo1.50.585/155/15
Águilas1.00.948/155/15

Over the last 15 matches in all competitions.

A question about Toledo vs Águilas?

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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