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Polokwane City - Golden Arrows 17.09.2025 20:30: score, statistics, forecasts

Completed
2
1
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1 half 0:1
2 half 2:0
17.09.2025 20:30
Premier League
6 | 2025/2026 | South Africa
Peter Mokaba Stadium
Hosts' position: 10 (-1)
Guests' Position: 9 (+1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 1.35 1.95
Avg. angles per match 8.89 8.58
Avg. yellow cards per match 4.29 3.94
Avg. KK per match 0 0
Polokwane City Golden Arrows
Match prediction value
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League & referee
We have detailed statistics not only on events, but also on referees and championships
Premier League Referee Buhlebendawo Jobela

LIVE match center

Goals
500% from average (0.4)
2
1
133.33% from average (0.75)
Corner
166.27% from average (4.21)
7
3
80.21% from average (3.74)
Fouls
67.57% from average (13.32)
9
13
114.84% from average (11.32)
93.06% from average (23.64)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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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
Polokwane City Golden Arrows
Goals per match average
1.35 1.95
Team goals per match average
0.4 0.75
Opponent goals per match average
0.95 1.2
Corners per match average
8.89 8.58
Team corners per match average
4.21 3.74
Opponent corners per match average
4.68 4.84
Yellow cards per match average
4.29 3.94

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
24.32
Home team fouls per match average
11.84
Away team fouls per match average
12.47
Average yellow cards per match
3.94
Hosts' yellow cards average per match
2
Away team yellow cards per match average
2.19
Red cards per match average
0

Interesting facts about the team Polokwane City

General
Polokwane City
Opponents

Interesting facts about the team Golden Arrows

General
Golden Arrows
Opponents

Brief Overview

Polokwane City - Golden Arrows, the match will take place on 17.09.2025. The referee appointed for this match is Buhlebendawo Jobela. The teams' rivalry is limited to one league and has never gone beyond it. It is possible to analyze how the match will go, as the teams have already played each other over 7 last seasons.

This is the LIVE match center Polokwane City - Golden Arrows 17.09.2025

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
500% from average (0.4)
2
1
133% from average (0.75)
Possession
104% from average (44.32)
46%
54%
99% from average (54.63)
Corner
166% from average (4.21)
7
3
80% from average (3.74)
Yellow cards
57% from average (1.74)
1
2
106% from average (1.89)
117% from average (2.56)
Red cards
- from average (0)
0
0
- from average (0)
- from average (0)
Fouls
68% from average (13.32)
9
13
115% from average (11.32)
93% from average (23.64)
Shots on goal
226% from average (10.63)
24
14
189% from average (7.42)
Shots on target
246% from average (2.84)
7
5
244% from average (2.05)
Blows past
245% from average (4.89)
12
7
202% from average (3.47)
Blocked Punches
163% from average (3.06)
5
2
106% from average (1.89)
Shots from the penalty area
274% from average (5.11)
14
10
229% from average (4.37)
Shots from outside the penalty area
180% from average (5.56)
10
4
129% from average (3.11)
Passes
108% from average (315.37)
341
400
94% from average (423.79)
Successful passes
100% from average (227.16)
227
308
89% from average (346)
Passing accuracy
95% from average (70.74)
67%
77%
95% from average (81)
Attacks
111% from average (95)
105
98
121% from average (80.78)
Dangerous Attacks
125% from average (58.58)
73
43
91% from average (47)
Offsides
70% from average (2.84)
2
1
36% from average (2.74)
Saves
206% from average (1.94)
4
5
211% from average (2.37)
Substitutions
167% from average (3)
5
4
87% from average (4.61)
Goal kicks
81% from average (9.84)
8
13
145% from average (8.95)
Trying to score
214% from average (11.2)
24
13
191% from average (6.8)
Free Kicks
100% from average (13.06)
13
9
69% from average (12.95)
Outs
113% from average (20.42)
23
25
112% from average (22.32)
Playing Safely with a Ball
0% from average (104)
0
0
- from average (0)

xG Metrics

Expected goals ( xG )
0
0
Open Play xG
0
0
Set Play xG
0
0
xG per 90
0
0
Penalty xG
0
0
Headed xG
0
0
Face-off xG
0
0
Missed xG
0
0
Defensive Action xG
0
0
xG Ratio
0
0
Opponent xG
0
0

Match Progress

The match has begun - the first half is underway
0
:
0
Substitution
4’
Lungelo Dube
Gladwin Shitolo
Goal
28’
Siyanda Mthanti
0
:
1
Goal
29’
Siyanda Mthanti
0
:
2
Substitution
34’
Moremi Seketso
Puleng Dennis Tlolane
Substitution
34’
Sabelo Motsa
Bonginkosi Dlamini
The match has continued - the second half is underway
0
:
2
Yellow Card
57’
Gladwin Shitolo
Yellow Card
57’
Gladwin Shitolo
Substitution
60’
Sabelo Sithole
Jerome Karlese
Substitution
60’
Surprise Semangele Manthosi
Tholo Thabang Matuludi
Substitution
60’
L. Mashiane
Tshabalala Sibusiso
Red Card
63’
Xolani Ngcobo
Red Card
63’
Xolani Ngcobo
Substitution
67’
Siyanda Mthanti
Oumar Comara
Substitution
67’
Thabo Matlaba
Edward Maova
Goal
72’
Bonginkosi Dlamini
1
:
2
Goal
72’
Bonginkosi Dlamini
2
:
2
Substitution
81’
Ndamulelo Rodney Maphangule
Mokibelo Simon Ramabu
Yellow Card
82’
Jerome Karlese
Yellow Card
82’
Jerome Karlese
Yellow Card
90’+4’
Tholo Thabang Matuludi
Yellow Card
90’+4’
Tholo Thabang Matuludi
Yellow Card
90’+4’
Tholo Thabang Matuludi
Goal
90’+6’
<TBD>
3
:
2
Goal
90’+6’
Puleng Dennis Tlolane
4
:
2
Match Completed
4
:
2

Starting lineups

Player
50
Brian Bwire
~
~
~
~
50
B. Bwire
~
~
~
~
42
Surprise Manthosi
~
~
~
~
42
Surprise Semangele Manthosi
~
~
~
+3
5
Mpho Mvundlela
~
~
~
~
5
Mpho Mvundlela
~
~
~
+1
34
Lebohang Petrus Nkaki
~
~
~
~
34
Lebohang Petrus Nkaki
~
~
~
+2
3
Tlou Nkwe
~
~
~
~
31
Sabelo Motsa
~
~
~
+1
21
Manuel Kambala
~
~
~
~
21
Manuel Kambala
~
~
~
+3
14
Ndamulelo Maphangule
~
~
~
~
14
Ndamulelo Rodney Maphangule
~
~
~
+1
20
Raymond Daniels
~
~
~
~
20
Raymond Daniels
~
~
~
+3
12
Moremi Seketso
~
~
~
~
31
Sabelo Motsa
~
~
~
~
3
Tlou Nkwe
~
~
~
+1
28
Levy Mashiane
~
~
~
~
28
L. Mashiane
~
~
~
+2
Player
31
Xolani Ngcobo
1
~
~
~
31
Xolani Ngcobo
1
~
~
+1
28
Thabo Matlaba
~
~
~
~
28
Thabo Matlaba
~
~
~
+1
35
Themba Mantshiyane
~
~
~
~
4
Ayanda Jiyane
~
~
~
+2
4
Ayanda Jiyane
~
~
~
~
35
Themba Mantshiyane
~
~
~
~
38
Ntandoyenkosi Mabaso
~
~
~
~
24
Nqobeko Dlamini
~
~
~
~
25
Ayabulela Maxwele
~
~
~
+1
23
Lungelo Dube
~
~
~
~
23
Lungelo Dube
~
~
~
~
29
Sabelo Sithole
~
~
~
~
24
Nqobeko Dlamini
~
~
~
+3
8
Siyanda Mthanti
~
~
1
~
8
Siyanda Mthanti
~
~
1
+3
18
Sede Junior Dion
~
~
~
~
18
S. Dion
~
~
~
+4
25
Ayabulela Maxwele
~
~
~
~
29
Sabelo Sithole
~
~
~
+3

Substitutions

Player
30
Mashudu Makhavhu
~
~
~
~
4
Bulelani Nikani
~
~
~
~
2
Tholo Thabang Matuludi
~
~
~
~
7
Mokibelo Simon Ramabu
~
~
~
~
47
Monty Batlhabane
~
~
~
~
17
Bonginkosi Dlamini
~
~
~
~
8
Thato Letshedi
~
~
~
~
29
Tshabalala Sibusiso
~
~
~
~
10
Puleng Marema
~
~
~
~
Player
34
Edward Maova
~
~
~
~
30
Sbonelo Cele
~
~
~
~
15
Oumar Comara
~
~
~
~
5
Gladwin Shitolo
~
~
~
~
33
Keenan Phillips
~
~
~
~
11
Nduduzo Sibiya
~
~
~
~
22
Jerome Karelse
~
~
~
~
39
Alwande Booysen
~
~
~
~
48
Philani Sithebe
~
~
~
~

These are detailed team statistics

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These are the referee's detailed match statistics Polokwane City - Golden Arrows 17.09.2025

We offer referee statistics on 3 indicators. Fill in the filters below to see the match list and summary data

These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of 4SCORE. 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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These are detailed statistics of head-to-head meetings Polokwane City and Golden Arrows before the match 17.09.2025

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