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Stellenbosch - Amazulu 15.04.2025 20:30: score, statistics, forecasts

Stellenbosch Stellenbosch
D
W
L
D
W
Finished
1
0
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1st half :
2nd half :
15.04.2025 20:30
Amazulu Amazulu
D
L
L
L
W
Premier Soccer League
Regular Season - 20 | 2024 | South-Africa
Danie Craven Stadium
Meeting Statistics
Average figures for head-to-head meetings
Metric Home Away
Avg. goals per match 2.25 2.45
Avg. corners per match 8 8.83
Avg. yellow cards per match 3.13 3.59
Avg. red cards per match 0 0
Key trends
Brief Overview
Stellenbosch - Amazulu, match from 15.04.2025. This match will be officiated by O. Kwinda. We could see these clubs' games in several leagues and cups. It has already been 4 season the teams face each other.

Match sections

This is the LIVE match center Stellenbosch - Amazulu 15.04.2025

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
80% from average (1.25)
1
0
0% from average (1.25)
Possession
79% from average (53.06)
42%
58%
111% from average (52.44)
Corners
110% from average (5.44)
6
6
140% from average (4.28)
Yellow cards
131% from average (1.53)
2
1
52% from average (1.94)
100% from average (3)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
120% from average (11.69)
14
11
81% from average (13.61)
122% from average (20.5)
Shots on goal
120% from average (11.63)
14
9
84% from average (10.72)
Shots on target
91% from average (4.38)
4
2
55% from average (3.61)
Shots off target
84% from average (4.75)
4
4
99% from average (4.06)
Blocked shots
240% from average (2.5)
6
3
98% from average (3.06)
Shots from inside the box
157% from average (7)
11
6
85% from average (7.06)
Shots from outside the box
65% from average (4.63)
3
3
82% from average (3.67)
Passes
71% from average (420.19)
300
429
94% from average (457.22)
Successful passes
64% from average (330.25)
213
313
81% from average (385)
Pass accuracy
92% from average (77.19)
71%
73%
87% from average (83.72)
Attacks
- from average (0)
0
0
- from average (0)
Dangerous attacks
- from average (0)
0
0
- from average (0)
Offsides
122% from average (1.64)
2
2
65% from average (3.06)
Saves
42% from average (2.38)
1
3
104% from average (2.89)
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
Substitution
10’
Phili Langelihle
Ashley Cupido
Goal
29’
Sanele Barns
1
:
0
The match has continued - the second half is underway
1
:
0
Yellow Card
58’
Thato Khiba
Yellow Card
63’
Riaan Hanamub
Yellow Card
64’
Oscarine Masuluke
Substitution
65’
Etiosa Godspower Ighodaro
Ethan Duncan Brooks
Substitution
65’
Sihle Nduli
Lesiba Nku
Substitution
72’
Rowan Lancaster Human
Bayanda Zulu
Substitution
77’
Andre de Jong
Khomotjo Lekoloane
Substitution
85’
Mondli Mbanjwa
Bongani Zungu
Match Completed
1
:
0

Starting lineups

Player
30
~
1
~
+1
16
~
~
~
+2
45
~
~
~
+2
24
~
~
~
+5
21
~
~
~
+4
19
~
1
~
+1
27
~
~
~
+2
20
~
~
1
+4
7
~
~
~
+2
5
~
~
~
+4
9
~
~
~
~
Player
50
~
~
~
+1
5
~
~
~
+2
23
~
~
~
+1
12
~
~
~
~
4
~
1
~
+1
34
~
~
~
+2
8
~
~
~
+3
19
~
~
~
+2
18
~
~
~
+2
22
~
~
~
+1
93
~
~
~
+5

Substitutions

Player
11
~
~
~
+1
8
~
~
~
~
28
~
~
~
~
18
~
~
~
+1
34
~
~
~
+1
35
~
~
~
~
3
~
~
~
~
26
~
~
~
~
12
~
~
~
~
Player
9
~
~
~
+1
21
~
~
~
+1
39
~
~
~
+2
15
~
~
~
~
44
~
~
~
~
17
~
~
~
~
42
~
~
~
~
25
~
~
~
~
27
~
~
~
~

These are bet probabilities based on the sample

Choose a sample source to see value odds for key markets
Sample source
Teams Referee Personal Meetings
Select a metric for analysis
Attack Possession and style Discipline Defense
Goals Shots on target Shots on goal Corners
Sample settings
Source: teams · sample 10 events · all seasons and leagues
Seasons and leagues
All available seasons
All available leagues
Number of events
5 10 15 20 50 All
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 6
2
2nd half 8
7
Result 14
9
Select a metric for analysis
Attack Possession and style Discipline Defense
Goals Shots on target Shots on goal Corners
Sample settings
Sample: 20 events · all seasons and leagues
Combined for both teams
All available seasons
All available leagues
Number of events
5 10 15 20 50 All
Stellenbosch
Across all matches Home only Away only
All outcomes Win Loss Draw
Amazulu
Across all matches Home only Away only
All outcomes Win Loss Draw

These are the referee's detailed match statistics Stellenbosch - Amazulu 15.04.2025

We offer referee statistics on 3 indicators. Fill in the filters below to see the summary data
Select a metric for analysis
Fouls Yellow cards Red cards
Sample settings
Sample: 20 events · all seasons and leagues
Seasons and leagues
All available seasons
All available leagues
Number of events
5 10 15 20 50 All

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!
Select a market to show match predictions for
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 Any probability
Odds range
Odds from 1.3 to 6 Any odds
Bookmakers
Pinnacle Bet365 1xBet Fonbet

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 Stellenbosch and Amazulu before the match 15.04.2025

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 Stellenbosch - Amazulu 15.04.2025

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