Niva - Bumprom 23.11.2025 14:00: 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
3.45
3.1
Avg. corners per match
0
0
Avg. yellow cards per match
0
0
Avg. red cards per match
0
0
Key trends
↑Niva: In 9 matches in a row, a total of no less than 2 goals is scored
↓Niva: In 5 matches in a row, a total of no more than 3 goals is scored
↓Niva: 20 matches in a row, no red card has been shown to either the team or their opponents
↓Niva: Judging by recent matches, Niva" sometimes wins, sometimes loses, sometimes draws — everything is unstable
Brief Overview
Niva will face Bumprom 23.11.2025 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. We can analyze how the match will go, since the teams have already played each other over 4 last seasons.
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
Yellow Card
18’
I. Sen
Yellow Card
26’
D. Kaplunov
Yellow Card
38’
I. Zhestkin
Goal
45’
I. Zhestkin
0
:1
The match has continued - the second half is underway
0
:1
Goal
46’
D. Fedortsov
1
:1
Substitution
46’
R. Kozel
A. Martysevich
Yellow Card
49’
D. Velisevich
Yellow Card
54’
A. Tkhagalegov
Goal
56’
I. Sen
1
:2
Red Card
58’
D. Kaplunov
Yellow Card
62’
D. Sibilev
Yellow Card
66’
S. Absamadov
Yellow Card
69’
V. Shubovich
Substitution
76’
A. Kuratnik
D. Sibilev
Substitution
77’
D. Khalimonchikov
V. Potorocha
Goal
82’
P. Pampukha
2
:2
Substitution
83’
A. Shkolyar
I. Sen
Yellow Card
88’
D. Sadovskiy
Substitution
90’+1’
D. Gradoboev
K. Parmonov
Match Completed
2
:2
Starting lineups
№
Player
8
D. Sibilev
~
~
~
~
29
P. Pampukha
~
~
~
~
21
N. Leshkevich
~
~
~
~
23
D. Fedortsov
~
~
~
~
77
V. Shubovich
~
~
~
~
15
I. Monich
~
~
~
~
69
A. Yaroshik
~
~
~
~
20
A. Martysevich
~
~
~
~
12
N. Dovnar
~
~
~
~
№
Player
95
D. Velisevich
~
~
~
~
7
I. Sen
~
~
~
~
8
I. Zhestkin
~
~
~
~
91
K. Parmonov
~
~
~
~
66
S. Absamadov
~
~
~
~
9
E. Simonchik
~
~
~
~
12
N. Ovsyanik
~
~
~
~
22
V. Potorocha
~
~
~
~
Substitutions
№
Player
7
D. Mulkevich
~
~
~
~
88
R. Kozel
~
~
~
~
3
M. Druchik
~
~
~
~
11
E. Yushchenko
~
~
~
~
99
N. Chuyko
~
~
~
~
91
A. Chuyko
~
~
~
~
13
A. Sysoev
~
~
~
~
1
R. Belov
~
~
~
~
№
Player
3
D. Denisenko
~
~
~
~
10
D. Gradoboev
~
~
~
~
47
V. Dubrovskiy
~
~
~
~
11
A. Shkolyar
~
~
~
~
18
M. Vospukov
~
~
~
~
30
V. Mukhin
~
~
~
~
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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Sample settings
Sample: 20 events · all seasons and leagues
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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 Niva and Bumprom before the match 23.11.2025
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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This tool will help you find the right trend for a match Niva - Bumprom 23.11.2025
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