Menu
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT
Prematch
631 match for the next two days
Malta
Gibraltar
0
:
0
Start: 21:45
Wales
Norway
0
:
0
Start: 21:45
Denmark
Portugal
0
:
0
Start: 21:45
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT

Torino - Roma 29.07.2020 22:45: score, statistics, forecasts

Finished
2
3
1st half 1:2
2nd half 1:1
29.07.2020 22:45
Serie A
37 | 2019/2020 | Italy
Stadio Olimpico Grande Torino
Home Team Position: 16 (-11)
Away Team Position: 5 (+11)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 3.25 3.05
Avg. corners per match 11.26 11
Avg. yellow cards per match 5.25 4.72
Avg. red cards per match 0 0
Torino Roma
Match prediction value
We'll calculate your match prediction's statistical value
Calculate
Trend Search
Specify the probability of a hit, and the tool will calculate what the total should be
To search
League & referee
We have detailed statistics not only on events, but also on referees and leagues
Serie A Referee Marco Piccinini

LIVE match center

Goals
181.82% from average (1.1)
2
3
166.67% from average (1.8)
Corner
91.95% from average (4.35)
4
8
121.95% from average (6.56)
Fouls
50.16% from average (15.95)
8
17
126.49% from average (13.44)
93.32% from average (26.79)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
Visit the LIVE Center

Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
Torino Roma
Goals per match average
3.25 3.05
Team goals per match average
1.1 1.8
Opponent goals per match average
2.15 1.35
Corners per match average
11.26 11
Team corners per match average
4.35 6.56
Opponent corners per match average
6.85 4.44
Yellow cards per match average
5.25 4.72

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
24.83
Home team fouls per match average
11.78
Away team fouls per match average
13.06
Average yellow cards per match
4.72
Home Team Yellow Cards per Match
2.06
Away team yellow cards per match average
2.82
Red cards per match average
0

Interesting facts about the team Torino

General
Torino
Opponents

Interesting facts about the team Roma

General
Roma
Opponents

Brief Overview

Torino - Roma, the match will take place on 29.07.2020. This match will be officiated by Marco Piccinini. Torino and Roma do not play each other in cups, only in leagues. The teams have already clashed several times in the 2016/2017, 2017/2018, 2018/2019, 2019/2020, 2020/2021, 2021/2022, 2022/2023, 2023/2024, 2024/2025, 2025/2026, 2026/2027.

This is the LIVE match center Torino - Roma 29.07.2020

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
182% from average (1.1)
2
3
167% from average (1.8)
Possession
108% from average (47.15)
51%
49%
95% from average (51.67)
Corner
92% from average (4.35)
4
8
122% from average (6.56)
Yellow cards
80% from average (2.5)
2
3
117% from average (2.56)
99% from average (5.05)
Red cards
0% from average (0.29)
0
0
0% from average (0.21)
0% from average (0.33)
Fouls
50% from average (15.95)
8
17
126% from average (13.44)
93% from average (26.79)
Shots on goal
76% from average (11.85)
9
17
101% from average (16.83)
Shots on target
103% from average (3.9)
4
7
105% from average (6.67)
Shots Off Target
61% from average (8.15)
5
10
87% from average (11.5)
Blocked Shots
80% from average (2.5)
2
0
0% from average (3.53)
Shots from the penalty area
50% from average (8)
4
10
95% from average (10.56)
Shots from outside the penalty area
123% from average (4.05)
5
5
83% from average (6.06)
Passes
123% from average (399.47)
492
464
100% from average (462.5)
Successful passes
133% from average (320.63)
427
404
103% from average (393.39)
Passing accuracy
121% from average (71.69)
86.79%
87.07%
110% from average (79.28)
Attacks
71% from average (110.2)
78
97
90% from average (107.67)
Dangerous Attacks
89% from average (46.1)
41
58
117% from average (49.44)
Offsides
69% from average (1.45)
1
3
283% from average (1.06)
Saves
77% from average (3.9)
3
2
60% from average (3.33)
Substitutions
147% from average (3.4)
5
5
127% from average (3.94)
Goal kicks
- from average (0)
0
0
- from average (0)
Goal Attempts
67% from average (7.5)
5
11
102% from average (10.78)
Free Kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Ball Safe
97% from average (97.75)
95
84
81% from average (104.33)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
14’
A. Berenguer
1
:
0
Goal
16’
E. Dzeko
1
:
1
Goal
23’
C. Smalling
1
:
2
Yellow Card
23’
Lyanco
Goal
24’
C. Smalling
1
:
3
Yellow Card
25’
Lyanco
Yellow Card
35’
C. Perez
Yellow Card
38’
G. Mancini
The match has continued - the second half is underway
1
:
3
Substitution
46’
Lyanco
K. Djidji
Substitution
50’
L. Spinazzola
D. Zappacosta
Yellow Card
55’
S. Meite
Yellow Card
55’
S. Meite
Penalty
61’
A. Diawara
1
:
4
Penalty
61’
A. Diawara
1
:
5
Goal
66’
W. Singo
2
:
5
Substitution
72’
C. Perez
N. Zaniolo
Substitution
72’
B. Peres
Ibanez
Substitution
72’
B. Cristante
J. Veretout
Substitution
73’
B. Peres
Ibanez
Substitution
75’
C. Ansaldi
A. Belotti
Yellow Card
81’
N. Zaniolo
Substitution
81’
A. Berenguer
O. Aina
Substitution
88’
W. Singo
M. Adopo
Substitution
90’+2’
H. Mkhitaryan
D. Perotti
Match finished
2
:
3

Starting lineups

№
Player
18
Samir Ujkani
~
~
~
~
4
Lyanco
~
1
~
+1
33
Nicolas N'Koulou
~
~
~
+1
36
Gleison Bremer
~
~
~
~
17
Wilfried Stephane Singo
~
~
1
+4
23
Soualiho Meïté
~
1
~
+4
7
Saša Lukić
~
~
~
+3
15
Cristian Ansaldi
~
~
~
+1
24
Simone Verdi
~
~
~
+3
21
Alex Berenguer
~
~
1
+3
11
Simone Zaza
~
~
~
+3
№
Player
13
Pau López
~
~
~
~
23
Gianluca Mancini
~
1
~
+1
6
Chris Smalling
~
~
1
+4
11
Aleksandar Kolarov
~
~
~
+4
33
Bruno Peres
~
~
~
+1
42
Amadou Diawara
~
~
1
+3
4
Bryan Cristante
~
~
~
+3
37
Leonardo Spinazzola
~
~
~
+2
31
Carles Pérez
~
1
~
+2
77
Henrikh Mkhitaryan
~
~
~
+2
9
Edin Džeko
~
~
1
+5

Substitutions

№
Player
39
Salvatore Sirigu
~
~
~
~
25
Antonio Rosati
~
~
~
~
30
Koffi Djidji
~
~
~
+2
27
Emin Ghazoini
~
~
~
~
80
Michel Ndary Adopo
~
~
~
~
19
Jean Freddi Greco
~
~
~
~
34
Ola Aina
~
~
~
~
9
Andrea Belotti
~
~
~
+1
77
Christian Celesia
~
~
~
~
44
Mattia Sandri
~
~
~
~
56
Patrick Enrici
~
~
~
~
45
Mihael Onișa
~
~
~
~
№
Player
63
Daniel Fuzato
~
~
~
~
41
Roger Ibañez
~
~
~
+1
2
Davide Zappacosta
~
~
~
+1
20
Federico Fazio
~
~
~
~
21
Jordan Veretout
~
~
~
~
99
Justin Kluivert
~
~
~
~
27
Javier Pastore
~
~
~
~
8
Diego Perotti
~
~
~
~
17
Cengiz Ünder
~
~
~
~
14
Gonzalo Villar
~
~
~
~
22
Nicolò Zaniolo
~
~
~
+2
19
Nikola Kalinić
~
~
~
~

These are detailed team statistics

We offer team statistics for 8 indicators. Fill in the filters below to see a list of matches and summary data for home and away teams

These are the referee's detailed match statistics Torino - Roma 29.07.2020

We offer referee statistics on 3 indicators. Fill in the filters below to see the match list and summary data

These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of UNION STAT. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!

Select a market to show match predictions for

Select bookmakers

Match prediction value calculator

Thinking about your prediction for this match? Check the bookmaker's odds value using the calculator to determine whether a bet is worth making. The calculator will show the statistical probability of a winning bet and compare it to the probability implied by the bookmaker's odds. Learn more about how this tool works and become familiar with the algorithm for calculating the statistical rating.

These are detailed statistics of head-to-head meetings Torino and Roma before the match 29.07.2020

We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data

This tool will help you find the right trend for a match Torino - Roma 29.07.2020

This tool uses the entered probability to show which trend works at that probability for teams, referees, and the league. Learn more about how this tool works