Match

Juventus vs Tottenham: result 2-1 and analysis

International Champions CupAustralia - 1Kick-off on July 26, 2016 at 10:00 AM (UTC)Allianz Stadium, Torino

Juventus
2-1
Tottenham

Full time

What was the result of Juventus vs Tottenham?

Juventus won 2-1 on July 26, 2016.

Goalscorers

  • 6′P. DybalaJuventus
  • 14′M. BenatiaJuventus
  • 67′E. LamelaTottenham

Official lineup for Juventus vs Tottenham

The starting elevens fielded at kick-off.

Juventus

  1. 21P. Dybala
  1. 5M. Pjanić
  2. 11Hernanes
  3. 18M. Lemina
  4. 22K. Asamoah
  5. 37R. Pereyra
  1. 4M. Benatia
  2. 12Alex Sandro
  3. 24D. Rugani
  4. 40Pol Lirola
  1. 25Neto

Tottenham

  1. 9V. Janssen
  1. 7Son Heung-Min
  2. 8Ryan Mason
  3. 12V. Wanyama
  4. 22N. Chadli
  5. 28Thomas James Carroll
  6. 43D. Ball
  7. 47William Miller
  1. 16K. Trippier
  2. 38C. Carter-Vickers
  1. 13M. Vorm
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Juventus have 11 wins, 2 draws and 2 defeats; Tottenham have 6, 4 and 5.

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

Juventus
DateOpponentScoreCompetition
Jul 23, 2016Melbourne Victory(away)1-1International Champions Cup
May 14, 2016Sampdoria(home)5-0Serie A
May 8, 2016Hellas Verona(away)1-2Serie A
May 1, 2016Carpi(home)2-0Serie A
Apr 24, 2016Fiorentina(away)2-1Serie A
Tottenham
DateOpponentScoreCompetition
May 15, 2016Newcastle(away)1-5Premier League
May 8, 2016Southampton(home)1-2Premier League
May 2, 2016Chelsea(away)2-2Premier League
Apr 25, 2016West Brom(home)1-1Premier League
Apr 18, 2016Stoke City(away)4-0Premier League

How many goals should we expect?

Juventus score 2.3 and concede 0.8 goals per match over their last 15; Tottenham score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Juventus2.30.887/159/15
Tottenham1.71.358/1511/15

Over the last 15 matches in all competitions.

A question about Juventus vs Tottenham?

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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