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Paide - Nõmme Kalju 03.06.2017 13:00: score, statistics, forecasts

Finished
-
1
1st half 0:1
2nd half 0:0
03.06.2017 13:00
Meistriliiga
15 | 2017 | Estonia
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 3.36 3.5
Avg. corners per match 0 0
Avg. yellow cards per match 0 0
Avg. red cards per match 0 0
Paide Nõmme Kalju
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League & referee
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Meistriliiga

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
Paide Nõmme Kalju
Goals per match average
3.36 3.5
Team goals per match average
1.21 2.64
Opponent goals per match average
2.43 1
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

Interesting facts about the team Paide

General
Paide
Opponents

Interesting facts about the team Nõmme Kalju

General
Nõmme Kalju
Opponents

Brief Overview

Paide will face Nõmme Kalju 03.06.2017 as the home side. Unfortunately, there is no data yet on who will referee this match. The clubs do not meet in cups, but their league matches can be seen quite often: Meistriliiga, Club Friendlies 1, Estonian Cup, Club Friendlies 3. The teams have already clashed several times in the 2017, 2018, 2019, 2020, 2021, 2021/2022, 2022, 2023, 2023/2024, 2024, 2024/2025, 2025, 2026.

This is the LIVE match center Paide - Nõmme Kalju 03.06.2017

Detailed match statistics, match events, and team lineups

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
41’
R. Kirss
0
:
1
The match has continued - the second half is underway
0
:
1
Substitution
46’
E. Tur
J. Uwaegbulam
Substitution
62’
J. Toomet
Carlos Geovane
Substitution
70’
A. Järva
H. Hanson
Yellow Card
71’
M. Mägi
Substitution
74’
I. Subbotin
T. Elhi
Substitution
81’
M. Lilander
A. Valge
Yellow Card
83’
N. Mashichev
Yellow Card
85’
A. Sidorenkov
Yellow Card
87’
Artjom Dmitrijev
Substitution
88’
T. Neemelo
P. Klein
Match finished
:
1

Starting lineups

№
Player
№
Player

Substitutions

№
Player
1
S. Vahi
~
~
~
~
14
M. Kase
~
~
~
~
2
M. Mägi
~
~
~
~
18
S. Kaldma
~
~
~
~
4
N. Novopashin
~
~
~
~
27
M. Lilander
~
~
~
~
15
S. Sinilaid
~
~
~
~
10
A. Frolov
~
~
~
~
20
E. Tur
~
~
~
~
8
M. Vainumäe
~
~
~
~
9
A. Järva
~
~
~
~
7
J. Uwaegbulam
~
~
~
~
11
H. Hanson
~
~
~
~
22
A. Valge
~
~
~
~
5
A. Sepp
~
~
~
~
21
M. Karofeld
~
~
~
~
26
A. Džumadil
~
~
~
~
29
R. Padar
~
~
~
~
№
Player
1
V. Teleš
~
~
~
~
32
A. Sidorenkov
~
~
~
~
33
K. Mööl
~
~
~
~
6
D. Tjapkin
~
~
~
~
3
H. Pürg
~
~
~
~
8
A. Dmitrijev
~
~
~
~
9
N. Mashichev
~
~
~
~
10
J. Toomet
~
~
~
~
15
I. Subbotin
~
~
~
~
99
T. Neemelo
~
~
~
~
17
R. Kirss
~
~
~
~
20
Carlos Geovane
~
~
~
~
22
T. Elhi
~
~
~
~
21
P. Klein
~
~
~
~
19
V. Sinyavskiy
~
~
~
~
96
P. Londak
~
~
~
~

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

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These are detailed statistics of head-to-head meetings Paide and Nõmme Kalju before the match 03.06.2017

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 Paide - Nõmme Kalju 03.06.2017

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