Swansea - Millwall 27.09.2025 14:30: 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
Referee
Referee stats with filters for cards and corners
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
2.5
2.7
Avg. corners per match
9.58
11.38
Avg. yellow cards per match
3.67
3.62
Avg. red cards per match
0
0
Key trends
↑Swansea: In 20 matches in a row, a total of no less than 1 goals is scored
↓Swansea: In 13 matches in a row, a total of no more than 5 goals is scored
↓Swansea: In 5 matches in a row, the total number of yellow cards has not risen above 6
↓Swansea: 20 matches in a row, no red card has been shown to either the team or their opponents
Brief Overview
Swansea - Millwall, match from 27.09.2025. The referee appointed for this match is Dean Whitestone, England. Championship - the only league where the clubs have met head-to-head, without ever facing each other in a single cup. It has already been 3 season the teams face each other.
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
Referee statistics →
Referee stats with filters for cards and corners
AI prediction →
The model's prediction for this match's outcome and totals
Personal Meetings →
Head-to-head history and sample probabilities
Match Statistics
Goals
71% from average (1.4)
1
1
63% from average (1.6)
Possession
112% from average (57.08)
64%
36%
79% from average (45.69)
Corners
128% from average (4.67)
6
4
78% from average (5.15)
Yellow cards
57% from average (1.75)
1
2
104% from average (1.92)
100% from average (3)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
58% from average (12.08)
7
20
142% from average (14.08)
180% from average (15)
Shots on goal
96% from average (13.58)
13
11
81% from average (13.54)
Shots on target
49% from average (4.08)
2
4
113% from average (3.54)
Shots off target
150% from average (5.33)
8
5
90% from average (5.54)
Blocked shots
72% from average (4.17)
3
2
45% from average (4.46)
Shots from inside the box
113% from average (8)
9
9
98% from average (9.15)
Shots from outside the box
72% from average (5.58)
4
2
46% from average (4.38)
Passes
115% from average (470.42)
543
302
86% from average (350.62)
Successful passes
116% from average (380.67)
443
208
83% from average (251.77)
Pass accuracy
103% from average (79.92)
82%
69%
97% from average (70.77)
Attacks
- from average (0)
0
0
- from average (0)
Dangerous attacks
- from average (0)
0
0
- from average (0)
Offsides
0% from average (2.83)
0
2
92% from average (2.17)
Saves
96% from average (2.08)
2
1
37% from average (2.69)
Substitutions
- from average (0)
0
0
- from average (0)
Goal kicks
- from average (0)
0
0
- from average (0)
Attempts to score
- from average (0)
0
0
- from average (0)
Free kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Safe play with the ball
- from average (0)
0
0
- from average (0)
Match Progress
The match has begun - the first half is underway
0
:0
Goal
12’
Z. Vipotnik
1
:0
Yellow Card
23’
Ben Cabango
Goal
45’
J. Coburn
1
:1
The match has continued - the second half is underway
1
:1
Yellow Card
62’
Joe Bryan
Substitution
68’
M. Langstaff
W. Smallbone
Substitution
72’
B. Manuel Hedilazio
Ronald
Substitution
78’
M. Ivanovic
J. Coburn
Substitution
80’
A. Idah
M. Yalcouye
Yellow Card
81’
Ryan Leonard
Substitution
88’
R. Bangura-Williams
A. Emakhu
Match Completed
1
:1
Starting lineups
№
Player
№
Player
Substitutions
№
Player
№
Player
These are bet probabilities based on the sample
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Sample source
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Attack
Possession and style
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Defense
Goals
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Corners
Sample settings
Source: teams · sample 10 events · all seasons and leagues
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Bet Probabilities by Sample — Goals
Value odds for key markets based on the selected sample — teams.
These are detailed team statistics
We offer team statistics for 9 metrics. Fill in the filters below to see summary data for home and away
Statistics by half
1st half
7
6
2nd half
6
5
Result
13
11
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Attack
Possession and style
Discipline
Defense
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Sample settings
Sample: 20 events · all seasons and leagues
Combined for both teams
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Swansea
Across all matches
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Millwall
Across all matches
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These are the referee's detailed match statistics Swansea - Millwall 27.09.2025
We offer referee statistics on 3 indicators. Fill in the filters below to see the summary data
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Fouls
Yellow cards
Red cards
Sample settings
Sample: 20 events · all seasons and leagues
Seasons and leagues
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Number of events
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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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Goals total
1x2 goals
Corners total
1x2 corners
Fouls total
Cards total
Sample settings
All outcomes · any probability · any odds
Outcome
All outcomes
Total Under
Total Over
Probability range
Probability from 60 to 100
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Odds range
Odds from 1.3 to 6
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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 Swansea and Millwall before the match 27.09.2025
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
All available seasons
All available leagues
Number of events
5
10
15
20
50
All
This tool will help you find the right trend for a match Swansea - Millwall 27.09.2025
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