Paide II - Maardu 28.09.2025 12:30: score, statistics, forecasts
Overview
Statistics, predictions, and trends for the match
Live center
Match statistics, events, and team lineups
Probabilities
Bet probabilities based on a sample of teams, referee and head-to-head history
Teams
Detailed Smart Tables with Filters
AI match predictions
AI prediction for this match is in this tab
Personal Meetings
Head 2 Head matches statistics between teams
Meeting Statistics
Average figures for head-to-head meetings
Metric
Home
Away
Avg. goals per match
3.4
4.7
Avg. corners per match
0
0
Avg. yellow cards per match
0
0
Avg. red cards per match
0
0
Key trends
↑Paide II: In 8 matches in a row, a total of no less than 2 goals is scored
↓Paide II: In 6 matches in a row, a total of no more than 3 goals is scored
↓Paide II: 20 matches in a row, no red card has been shown to either the team or their opponents
↓Paide II: Judging by recent matches, Paide II" sometimes wins, sometimes loses, sometimes draws — everything is unstable
Brief Overview
Paide II will face Maardu 28.09.2025 as the home team. We don't yet know who will be the referee. The rivalry between the match participants is limited to one league and has never gone beyond it. The teams are infrequent opponents on the pitch. At the moment, they have only met within a single season.
Match sections
Game Review →
Statistics, predictions, and trends for the match
Live center and statistics →
Match statistics, events, and team lineups
Probabilities →
Bet probabilities based on a sample of teams, referee and head-to-head history
Team statistics →
Detailed Smart Tables with Filters
AI prediction →
The model's prediction for this match's outcome and totals
Personal Meetings →
Head-to-head history and sample probabilities
Match Progress
The match has begun - the first half is underway
0
:0
Goal
22’
K. Kanne
1
:0
Yellow Card
26’
D. Drabinko
Goal
28’
A. Volkov
1
:1
Yellow Card
28’
R. Isakar
Goal
31’
D. Drabinko
1
:2
The match has continued - the second half is underway
1
:2
Substitution
46’
R. Roos
A. Pitsner
Yellow Card
48’
K. Boldyrev
Yellow Card
50’
H. Lehtmaa
Yellow Card
59’
E. Utgof
Yellow Card
60’
A. Badamosi
Yellow Card
61’
A. Volkov
Goal
62’
A. Badamosi
2
:2
Substitution
63’
A. Kapustin
S. Tsombaljuk
Substitution
63’
K. Vassilenko
A. Badamosi
Substitution
66’
K. Kallas
H. Lehtmaa
Yellow Card
75’
C. Rak
Yellow Card
77’
M. Tserezov
Yellow Card
78’
R. Roos
Red Card
79’
D. Drabinko
Yellow Card
80’
S. Soo
Substitution
81’
R. Trofimov
K. Kanne
Substitution
84’
M. Eensalu
A. Volossatov
Yellow Card
86’
R. Nigula
Match Completed
2
:2
Starting lineups
№
Player
37
K. Kanne
~
~
~
~
22
S. Soo
~
~
~
~
70
R. Isakar
~
~
~
~
26
R. Luts
~
~
~
~
24
R. Nigula
~
~
~
~
49
H. Lehtmaa
~
~
~
~
66
C. Rak
~
~
~
~
88
R. Kool
~
~
~
~
95
A. Pitsner
~
~
~
~
6
E. Tumasevski
~
~
~
~
№
Player
5
A. Volossatov
~
~
~
~
9
E. Utgof
~
~
~
~
77
S. Tsombaljuk
~
~
~
~
13
D. Lebedev
~
~
~
~
26
D. Drabinko
~
~
~
~
4
K. Boldyrev
~
~
~
~
12
A. Volkov
~
~
~
~
98
A. Jakovlev
~
~
~
~
Substitutions
№
Player
73
R. Trofimov
~
~
~
~
71
K. Kallas
~
~
~
~
57
K. Vassilenko
~
~
~
~
86
S. Aasma
~
~
~
~
72
R. Roos
~
~
~
~
33
K. Kaarmann
~
~
~
~
№
Player
17
Y. Panchenko
~
~
~
~
24
A. Kapustin
~
~
~
~
15
A. Grigorjev
~
~
~
~
35
D. Pjatajev
~
~
~
~
These are bet probabilities based on the sample
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Source: teams · sample 10 events · all seasons and leagues
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We offer team statistics for 9 metrics. Fill in the filters below to see summary data for home and away
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Attack
Possession and style
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Sample settings
Sample: 20 events · all seasons and leagues
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Paide II
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Maardu
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These are machine learning-based predictions (Machine Learning, ML)
ML predictions are an exclusive and unique feature of TheAnalytic. Our servers run special mathematical algorithms that calculate team strength and perform analysis based on pseudo-random event prediction algorithms. We don't take 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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These are detailed statistics of head-to-head meetings Paide II and Maardu before the match 28.09.2025
We offer team statistics for 9 metrics. Fill in the filters below to see summary data
Select a metric for analysis
Attack
Possession and style
Discipline
Defense
Goals
Shots on target
Shots on goal
Corners
Sample settings
Sample: 20 head-to-head meetings · all seasons and leagues
Seasons and leagues
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Number of events
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This tool will help you find the right trend for a match Paide II - Maardu 28.09.2025
This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works