Ascoli - Palermo 29.01.2023 16:00: score, statistics, forecasts
Serie B
22 | 2022/2023 | Italy
Stadio Cino e Lillo Del Duca
Stadio Cino e Lillo Del Duca
Home Team Position: 12 (-1)
Away Team Position: 11 (+1)
Away Team Position: 11 (+1)
Game Review
Statistics, predictions, and trends for the match
Live center and statistics
Match statistics, events, and team lineups
Team statistics
Detailed Smart Tables with Filters
Referee statistics
Referee stats with filters for cards and corners
AI match predictions
AI prediction for this match is in this tab
Check match prediction
Match prediction value
Head-to-head
Head 2 Head matches statistics between teams
Trend Search
Specify a trend, and we'll calculate the value and odds
Meeting Statistics
We have detailed tables with filters where you can track average values
Team
H
A
Avg. goals per match
2.35
2.05
Avg. corners per match
8.85
8.95
Avg. yellow cards per match
6.5
6.28
Avg. red cards per match
0
0
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 B
Referee Ermanno Feliciani
LIVE match center
Goals
83.33% from average (1.2)
1
2
190.48% from average (1.05)
Corner
282.35% from average (4.25)
12
2
40% from average (5)
Fouls
72.95% from average (16.45)
12
13
115.04% from average (11.3)
99.48% from average (25.13)
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
Ascoli
Palermo
Goals per match average
2.35
2.05
Team goals per match average
1.2
1.05
Opponent goals per match average
1.25
1.25
Corners per match average
8.85
8.95
Team corners per match average
4.25
5
Opponent corners per match average
4.6
3.95
Yellow cards per match average
6.5
6.28
Referee stats
Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
27.58
Home team fouls per match average
13.68
Away team fouls per match average
13.25
Average yellow cards per match
6.28
Home Team Yellow Cards per Match
3.11
Away team yellow cards per match average
3.05
Red cards per match average
0
Interesting facts about the team Ascoli
General
Ascoli
Opponents
In 6 matches consecutively, no more than 4 goals are filled in total
In 20 matches consecutive yellow cards the total number of yellow cards does not fall below 3
In 7 matches consecutive yellow cards the total number of yellow cards does not rise above 9
20 matches in a row, not a single red card has been issued to either the team or their opponents
Judging by the last matches, Ascoli" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable
In 20 matches in a row "Ascoli" scores no more than 3 goals
In 20 matches in a row "Ascoli" receives at least 1 yellow card
In 7 matches in a row "Ascoli" receives no more than 4 yellow cards
20 matches in a row "Ascoli" doesn't receive a single red card
In 5 matches consecutive games, opponents score no more than 1 goal
In 11 matches consecutive team opponents "Ascoli" receive at least 1 yellow card
In 6 matches consecutive team opponents "Ascoli" receive no more than 5 yellow cards
20 matches matches in a row, the team's opponents have not received a single red card
Interesting facts about the team Palermo
General
Palermo
Opponents
In 5 matches consecutively, at least 1 goals are filled in total
In 20 matches consecutively, no more than 6 goals are filled in total
In 5 matches consecutive yellow cards the total number of yellow cards does not fall below 3
In 14 matches consecutive yellow cards the total number of yellow cards does not rise above 9
20 matches in a row, not a single red card has been issued to either the team or their opponents
Judging by the last matches, Palermo" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable
In 5 matches in a row "Palermo" scores at least 1 goal
In 20 matches in a row "Palermo" scores no more than 3 goals
In 5 matches in a row "Palermo" receives at least 1 yellow card
In 20 matches in a row "Palermo" receives no more than 5 yellow cards
20 matches in a row "Palermo" doesn't receive a single red card
In 20 matches consecutive games, opponents score no more than 3 goals
In 20 matches consecutive team opponents "Palermo" receive at least 2 yellow cards
In 14 matches consecutive team opponents "Palermo" receive no more than 5 yellow cards
20 matches matches in a row, the team's opponents have not received a single red card
Brief Overview
29.01.2023 Ascoli visits Palermo. The referee will be Ermanno Feliciani. Ascoli and Palermo do not play each other in cups, only in leagues. The teams have already clashed several times in the 2017/2018, 2018/2019, 2019, 2022/2023, 2023/2024.
This is the LIVE match center Ascoli - Palermo 29.01.2023
Detailed match statistics, match events, and team lineups
Match Statistics
Goals
83% from average (1.2)
1
2
190% from average (1.05)
Possession
133% from average (47.95)
64%
36%
75% from average (48)
Corner
282% from average (4.25)
12
2
40% from average (5)
Yellow cards
0% from average (3.1)
0
2
80% from average (2.5)
44% from average (4.5)
Red cards
0% from average (0.7)
0
0
0% from average (0.38)
0% from average (0.33)
Fouls
73% from average (16.45)
12
13
115% from average (11.3)
99% from average (25.13)
Shots on goal
218% from average (11.45)
25
16
134% from average (11.9)
Shots on target
203% from average (3.45)
7
7
171% from average (4.1)
Shots Off Target
224% from average (8.05)
18
9
115% from average (7.8)
Blocked Shots
310% from average (2.26)
7
1
39% from average (2.58)
Shots from the penalty area
185% from average (7.55)
14
13
153% from average (8.5)
Shots from outside the penalty area
255% from average (5.1)
13
4
95% from average (4.2)
Passes
130% from average (363.45)
471
278
75% from average (372.65)
Successful passes
145% from average (265.75)
385
182
63% from average (290.6)
Passing accuracy
113% from average (72.49)
81.74%
65.47%
85% from average (77.36)
Attacks
128% from average (98.6)
126
57
63% from average (90.3)
Dangerous Attacks
147% from average (35.4)
52
24
55% from average (43.85)
Offsides
136% from average (1.47)
2
3
194% from average (1.55)
Saves
235% from average (2.55)
6
6
200% from average (3)
Substitutions
111% from average (4.5)
5
5
110% from average (4.55)
Goal kicks
- from average (0)
0
0
- from average (0)
Goal Attempts
182% from average (7.16)
13
13
197% from average (6.6)
Free Kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Ball Safe
91% from average (108)
98
94
101% from average (93.4)
Match Progress
The match has begun - the first half is underway
0
:0
Goal
15’
Matteo Luigi Brunori
0
:1
The match has continued - the second half is underway
0
:1
Yellow Card
56’
Ales Mateju
Substitution
63’
Cedric Gondo
Francesco Forte
Substitution
63’
Amato Ciciretti
Federico Dionisi
Goal
64’
Francesco Forte
1
:1
Yellow Card
66’
Ionut Nedelcearu
Substitution
67’
Francesco Di Mariano
Gennaro Tutino
Substitution
74’
Jacopo Segre
Valerio Verre
Substitution
74’
Samuele Damiani
Jérémie Broh
Goal
82’
Matteo Luigi Brunori
1
:2
Substitution
84’
Marcel Büchel
Pedro Mendes
Substitution
85’
Claud Adjapong
Christopher Lungoyi
Substitution
87’
Nicola Valente
Renzo Orihuela Barcos
Substitution
87’
Matteo Luigi Brunori
Edoardo Soleri
Substitution
88’
Federico Dionisi
Alessio Re
Match finished
1
:2
Starting lineups
№
Player
1
Nicola Leali
~
~
~
~
4
Lorenco Šimić
~
~
~
+3
33
Eric Botteghin
~
~
~
+3
5
Danilo Quaranta
~
~
~
+2
17
Claud Adjapong
~
~
~
+3
18
Michele Collocolo
~
~
~
+1
77
Marcel Büchel
~
~
~
+2
28
Federico Proia
~
~
~
+2
54
Nicola Falasco
~
~
~
+4
10
Amato Ciciretti
~
~
~
+3
15
Cedric Gondo
~
~
~
+4
№
Player
22
Mirko Pigliacelli
~
~
~
+1
37
Aleš Matějů
~
1
~
+1
18
Ionuț Nedelcearu
~
1
~
+1
15
Ivan Marconi
~
~
~
+2
30
Nicola Valente
~
~
~
+3
8
Jacopo Segre
~
~
~
+3
21
Samuele Damiani
~
~
~
+1
28
Dario Šarić
~
~
~
+1
3
Marco Sala
~
~
~
+1
9
Matteo Brunori
~
~
2
+4
10
Francesco Di Mariano
~
~
~
+5
Substitutions
№
Player
13
Enrico Guarna
~
~
~
~
12
Luca Bolletta
~
~
~
~
20
Francesco Donati
~
~
~
~
21
Simone Giordano
~
~
~
~
44
Aljaž Tavčar
~
~
~
~
23
Marcello Falzerano
~
~
~
~
27
Mirko Eramo
~
~
~
~
7
Christophe Lungoyi
~
~
~
+1
11
Francesco Forte
~
~
~
+4
9
Federico Dionisi
~
~
~
+2
90
Pedro Mendes
~
~
~
+1
97
Alessio Re
~
~
~
~
№
Player
1
Giovanni Grotta
~
~
~
~
12
Samuele Massolo
~
~
~
~
25
Alessio Buttaro
~
~
~
~
79
Edoardo Lancini
~
~
~
~
4
Renzo Orihuela
~
~
~
~
26
Valerio Verre
~
~
~
+2
14
Jérémie Broh
~
~
~
+1
27
Edoardo Soleri
~
~
~
+2
7
Gennaro Tutino
~
~
~
+3
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 Ascoli - Palermo 29.01.2023
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!
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 Ascoli and Palermo before the match 29.01.2023
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 Ascoli - Palermo 29.01.2023
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