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Italy U17 - Montenegro U17 24.10.2017 14:00: score, statistics, forecasts

Finished
3
-
1st half 2:0
2nd half 1:0
24.10.2017 14:00
Euro U17
2017 | Europe
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 0 0
Avg. corners per match 0 0
Avg. yellow cards per match 0 0
Avg. red cards per match 0 0
Italy U17 Montenegro U17
Match prediction value
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Trend Search
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League & referee
We have detailed statistics not only on events, but also on referees and leagues
Euro U17

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
Italy U17 Montenegro U17
Goals per match average
0 0
Team goals per match average
0 0
Opponent goals per match average
0 0
Corners per match average
0 0
Team corners per match average
0 0
Opponent corners per match average
0 0
Yellow cards per match average
0 0

Brief Overview

24.10.2017 Italy U17 visits Montenegro U17. We have not yet received details about the match referee. The clubs' head-to-head meetings have so far only been seen within one league. It is possible to analyze how the match will go, as the teams have already played each other over 2 last seasons.

This is the LIVE match center Italy U17 - Montenegro U17 24.10.2017

Detailed match statistics, match events, and team lineups

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
16’
A. Riccardi
1
:
0
Goal
18’
N. Fagioli
2
:
0
Substitution
41’
A. Krivokapic
E. Dinosa
The match has continued - the second half is underway
2
:
0
Substitution
59’
J. Greco
D. Ghislandi
Substitution
59’
I. Vukcevic
N. Mudresa
Substitution
70’
A. Riccardi
A. Cortinovis
Goal
74’
D. Ghislandi
3
:
0
Substitution
76’
N. Fagioli
R. Tonin
Substitution
77’
L. Mikic
M. Drincic
Match finished
3
:

Starting lineups

№
Player
№
Player

Substitutions

№
Player
9
Edgar Silva
~
~
~
~
11
Cesinha
~
~
~
~
10
Ze Roberto
~
~
~
~
20
Hwang Soon-Min
~
~
~
~
21
Cho Hyun-Woo
~
~
~
~
22
Jung Woo-Jae
~
~
~
~
99
Cho Suk-Jae
~
~
~
~
29
Ryu Jae-Moon
~
~
~
~
5
Hong Jung-Woon
~
~
~
~
66
Park Byung-Hyun
~
~
~
~
3
Kim Woo-Seok
~
~
~
~
26
Ko Jae-Hyun
~
~
~
~
8
Jung Sun-Ho
~
~
~
~
18
Jung Seung-Won
~
~
~
~
33
Kim Tae-Han
~
~
~
~
1
Choi Young-Eun
~
~
~
~
43
Kang Si-Hoon
~
~
~
~
14
Kim Dae-Won
~
~
~
~
№
Player
18
Yun Suk-Young
~
~
~
~
11
Evandro Paulista
~
~
~
~
9
Anderson Lopes
~
~
~
~
55
Kwak Tae-Hwi
~
~
~
~
6
Kim Seong-Jun
~
~
~
~
13
Ko Yo-Han
~
~
~
~
21
Yang Han-Bin
~
~
~
~
3
Lee Woong-Hee
~
~
~
~
23
Lee Seok-Hyun
~
~
~
~
40
Kim Won-Gyun
~
~
~
~
32
Cho Young-Wook
~
~
~
~
7
Lee Sang-Ho
~
~
~
~
10
Park Chu-Young
~
~
~
~
15
Kim Won-Sik
~
~
~
~
2
Hwang Hyun-Soo
~
~
~
~
1
Yoo Hyun
~
~
~
~
14
Kim Han-Gil
~
~
~
~
50
Park Dong-Jin
~
~
~
~

These are detailed team statistics

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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!

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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 Italy U17 and Montenegro U17 before the match 24.10.2017

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 Italy U17 - Montenegro U17 24.10.2017

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