Juventus vs Tottenham: result 2-3 and analysis
International Champions CupGroup Stage - 1Kick-off on July 21, 2019 at 11:36 AM (UTC)Allianz Stadium, Torino
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What was the result of Juventus vs Tottenham?
Tottenham won 2-3 on July 21, 2019.
Goalscorers
- 30′E. LamelaTottenham
- 56′G. HiguaínJuventus
- 60′Cristiano RonaldoJuventus
- 65′Lucas MouraTottenham
- 90′H. KaneTottenham
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 6 wins, 4 draws and 5 defeats; Tottenham have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2019 | Sampdoria(away) | 0-2 | Serie A |
| May 19, 2019 | Atalanta(home) | 1-1 | Serie A |
| May 12, 2019 | AS Roma(away) | 0-2 | Serie A |
| May 3, 2019 | Torino(home) | 1-1 | Serie A |
| Apr 27, 2019 | Inter(away) | 1-1 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | Liverpool(home) | 0-2 | UEFA Champions League |
| May 12, 2019 | Everton(home) | 2-2 | Premier League |
| May 8, 2019 | Ajax(away) | 3-2 | UEFA Champions League |
| May 4, 2019 | Bournemouth(away) | 0-1 | Premier League |
| Apr 30, 2019 | Ajax(home) | 0-1 | UEFA Champions League |
What does the head-to-head say?
Across the last 3 meetings: 2 Juventus win(s), 1 draw(s), 0 Tottenham win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2018 | Tottenham 1-2 Juventus | UEFA Champions League |
| Feb 13, 2018 | Juventus 2-2 Tottenham | UEFA Champions League |
| Jul 26, 2016 | Juventus 2-1 Tottenham | International Champions Cup |
How many goals should we expect?
Juventus score 1.3 and concede 1.1 goals per match over their last 15; Tottenham score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 1.3 | 1.1 | 3 | 9/15 | 6/15 |
| Tottenham | 1.3 | 1.2 | 5 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy