A Games Statistics Analysis of Indonesian Basketball League
Participant Team of 2018/2019
M. Torero Rigel Centeury
1
, Abdul Alim
1
1
Faculty of Sport Sciences,Yogyakarta State University, Colombo Street No.1, Yogyakarta, Indonesia
Keywords: Games Statistics, Analysis, Indonesian Basketball League.
Abstract: The purpose of this study is to find the result of Games Statistics Analysis of Indonesian Basketball League
Participant Team of 2018/2019. This study is a quantitative one and employed descriptive method and also
survey approach. The data was from secondary data resource. The secondary data resource used here is the
document from the statistics result of Indonesian Basketball League. The result shows that statistical
components have their own influence to the team wins, including; Field Goal amounting to 12.80%, Assist
amounting to 12.64%, 3 Point amounting to 11.99%, 2 Point amounting to 10.38%, Turnover amounting to
10.04%, Rebound amounting to 9.89%, Steal amounting to 9.89%, Free Throw amounting to 7.78, Foul
amounting to 7.46%, and Block amounting to 7.13%. Therefore, it can be concluded that the order of
statistics component influencing the wins includes (1) Field Goal, (2) Assist, (3) 3 Point, (4) 2 Point (5)
Turnover, (6) Rebound and Steal, (7) Free Throw, (8) Foul, (9) Block.
1 INTRODUCTION
The scope of sports which includes; educational
sport, recreational/traditional sport, and achievement
sport, has been regulated in Undang-Undang
Republik Indonesia Nomor 3 Tahun 2005.
Educational sports is held as part of the educational
process, while recreational/traditional sports are
carried out as part of the recovery process health and
fitness, while achievement sports are intended as an
effort to improve the abilities and potential of
sportsmen in order to increase the dignity and
national dignity. In government achievement sport,
the national and local government, and/or the people
have the duty of performing, overseeing, and
controlling the activity of achievement sport.
Therefore the government organizes sporting
achievements from early childhood to professionals.
One of the achievement sport performing a sport
activity from early age to professional is basketball.
Basketball at an early age up to amateurs can be
carried out within the scope of the region while for
professionals carried out within the national scope.
Indonesia has a basketball league, named Indonesian
Basketball League (IBL). IBL is a professional
league that is held to fulfill sports activities in
basketball. In addition to make a scouting system
and players talent development, IBL can also be
used as a tool to develop the club. One of the ways
to make the club getting better is using statistics.
Statistics are important in basketball because it
can show a case overview to the players, coach, and
club in the game. Lots of events escaped
observation, but they can be recorded in statistics.
Although statistics have now become an integral part
of basketball, there are still many players, coaches,
and clubs which have not fully understood the
importance of statistics in basketball. In fact,
statistics are part of the coach's job in evaluating
players during games to determine the training
program discussed with the club or tactics to win the
game. It can be a reference to perform the next
games.
2 MATERIALS AND METHODS
2.1 Types of Study
This study is a quantitative one, namely “research
that is closer to the objective aspects of
measurement” (Sumanto, 1995). It analyzed the
statistics of Indonesian Basketball League
2018/2019 participant teams in the form of
228
Centeury, M. and Alim, A.
A Games Statistics Analysis of Indonesian Basketball League Participant Team of 2018/2019.
DOI: 10.5220/0009309402280236
In Proceedings of the 3rd Yogyakarta International Seminar on Health, Physical Education, and Spor t Science in conjunction with the 2nd Conference on Interdisciplinary Approach in Sports
(YISHPESS and CoIS 2019), pages 228-236
ISBN: 978-989-758-457-2
Copyright
c
2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
numerical data (numbers) objectively. It employed
descriptive method, which is intended to describe
the phenomenon of existing phenomena, which
happen currently or in the past. It does not make
manipulation or alteration on independent variables,
but describes a condition as it is. “Depictions of
conditions can be individual or use numbers”
(Sukmadinata, 2006). "Descriptive research aims to
explain a certain condition" (Morissan, 2012). This
study explains the condition of Indonesian
Basketball League participant team based on
statistics that are described using numbers or
numerical data.
This research employed a survey approach,
which is a “critical observation/investigation to get
clear and good information on a particular problem”
(Musa and Nurfitri, 1988). “Research that seeks to
explain or record conditions to explain what is
currently” (Morissan, 2012). This research surveyed
were the results of games statistics analysis of the
Indonesian Basketball League participant team
2018/2019.
2.2 The Source of Research Data
This research uses secondary data sources, namely
data sources obtained from parties outside the
research target. Sources of data can be books,
documents, informants, respondents’ population,
samples, or research subjects. The secondary data is
data that has been obtained by researchers, “data
published in statistical journals, and information
available from sources of publications or non-
publications both from within or outside the
organization, and all that can be useful for
researchers” (Sugiyono, 2009). It used secondary
data in the form of documents from the statistics
results of Indonesian Basketball League 2018/2019.
2.3 Subjects
The subjects of this research are the teams that
compete in the Indonesian Basketball League.
Therefore, the “subject of the research is a source of
information that was explored to reveal the facts in
the field” (Arikunto, 2006). The teams participating
in the Indonesian Basketball League amounted to 10
teams. 4 teams are from Jakarta, 1 team from East
Java, 2 teams from West Java, 1 team from Central
Java, 1 team from South Sumatra, and 1 team from
Yogyakarta. The ones from Jakarta are Pelita Jaya
Basketball Club Jakarta, Stapac Jakarta, Satria Muda
Pertamina Jakarta, and NSH Jakarta. The ones from
East Java include Pacific Caesar Surabaya. The ones
from West Java include Prawira Bandung and
Siliwangi Bogor. The one from Central Java is Satya
Wacana Salatiga. The team from South Sumatra is
Hangtuah South Sumatra. The one from Yogyakarta
is Bank BPD DIY Bima Perkasa Yogyakara. The 10
teams competed in the Indonesian Basketball
League 2018/2019 in Indonesia.
2.4 Data Collection Instrument
The type of instrument for data collection according
to Mulyasa is broadly divided into two types,
namely (1) Test Instruments, (2) Non Test
Instruments. This study employed non-test data
collection instruments, namely instruments in the
form other than the form of questions, but usually in
the form of documentation as a portfolio. It used
statistics documents Indonesian Basketball League
2018/2019.
2.5 Data Collection Technique
The data collection technique in this research was by
using documents, namely records of past events.
Interpretatively, it can be interpreted that the
document is a record of past events written or
printed, can be letters, diaries, and documents.
Documents from this data were taken from
www.iblindonesia.com which had been made by the
Indonesian Basketball League match statistics team
2018/2019.
2.6 Statistical Analysis
After the data were collected, they need to be
processed or analyzed. The data analysis was a very
critical work in the research process. The researcher
must carefully determine the pattern of analysis for
the research data. The steps in data analysis include:
the data collection stage, the editing stag (at this
stage, it is done to check the clarity and
completeness of the data collection), the coding
phase (this means that at this stage the process of
identifying and classification processes of each
statement contained in data collection is based on
the variables being studied), the tabulation stage
(carry out data entry or data entry into master tables
in research), the testing phase (at this stage the data
will be tested for quality, namely testing the validity
and reliability of data collection. The data used in
this research has been tested for validity by the
games statistics team at www.iblindonesia.com), the
stage of describing data (presenting in the form of
A Games Statistics Analysis of Indonesian Basketball League Participant Team of 2018/2019
229
frequency tables or diagrams and in various
measures of central tendency and dispersion size).
This study used descriptive data analysis
techniques, which is an analytical technique used to
analyze data by describing or describing data that
has been collected as a minimum without any
intention of making generalizations from the results
of the research. Descriptive statistical data analysis
techniques include presentation of data in graphs,
tables, percentages, frequencies, diagrams, mean,
and modes. Descriptive data analysis used in this
research was the mean, percentage, and quartile:
1. Mean to calculate the average
x
Ʃ
ƩX= Amount of Value
n= Number of matches
The mean is used to calculate Field Goals Made,
Field Goal Attempt, 2 Point Made, 2 Point Attempt,
3 Point Made, 3 Point Attempt, Free Throw Made,
Free Throw Attempt, Offensive Rebound, Defensive
Rebound, Total Rebound, Assist, Turnover, Steal,
Block, Personal Foul, Point.
2. Percentage
P=
x 100%
n= Amount of Value
N= Number of Opportunities
The percentage are used to calculate the Goal Field,
2 Points, 3 Points, Free Throw. 3. Quartile
Quartiles are used to calculate the category of Goal
Field, 2 Points, 3 Points, Free Throw. Effective
Rebound, Defensive Rebound, Total Rebound,
Assist, Turnover, Steal, Block, Personal Foul, Point.
3 RESULT
3.1 Category Level
To find out the level of the category carried out in
this research, it is started by knowing the statistics
results of the Indonesian Basketball League
participant team when competing in 1 season which
took place in several cities on 30 November 2018-23
March 2019 and then put into the quartile formula.
Table 1: Field Goal.
Tea
m
Field Goal Categor
y
Sta
p
ac Jakarta 46% Hi
g
h
Pelita Jaya
Basketball Club
Jakarta
42% High
Satria Muda
Pertamina Jakarta
42% High
Pacific Caesar
Surabaya
41% Above Average
Bank BPD DIY
Bima Perkasa
Yogyakarta
41%
Above Average
Hangtuah
Sumatera Selatan
41%
Above Average
Prawira Bandung 41%
Above Average
Satya Wacana
Salati
g
a
39% Below Average
NSH Jakarta 38% Low
Siliwangi Bogo
r
37% Low
Based on table 1, the results of measuring the
Field Goal category was obtained using quartiles. It
can be seen that the Field Goal category of the
Indonesian Basketball League participant team
include 3 teams in the high category, 2 teams in the
above average category, 5 teams in the below
average category, and 2 teams in the low category.
Table 2: 2 Point.
Tea
m
2 Point Cate
or
Stapac Jakarta 53% High
Pelita Jaya
Basketball Club
Jakarta
50% High
Satria Muda
Pertamina Jakarta
50% High
Hangtuah
Sumatera Selatan
49% Above Average
Bank BPD DIY
Bima Perkasa
Yo
gy
akarta
48% Above Average
Pacific Caesar
Suraba
y
a
47% Below Average
Satya Wacana
Salatiga
46% Below Average
Prawira Bandun
g
45% Below Avera
g
e
NSH Jakarta 43% Low
Siliwan
g
i Bo
g
o
r
43% Low
Based on table 2, the results of measuring the 2
Point category was obtained using quartiles, it can
be seen the 2 Point category of the Indonesian
Basketball League participant team include 3 teams
in the high category, 2 teams in the above average
YISHPESS and CoIS 2019 - The 3rd Yogyakarta International Seminar on Health, Physical Education, and Sport Science (YISHPESS
2019) in conjunction with The 2nd Conference on Interdisciplinary Approach in Sports (CoIS 2019)
230
category, 3 teams in the below average category, and
2 teams in the low category.
Table 3: 3 Point.
Ti
m
3 Point Categor
Sta
p
ac Jakarta 32% Hi
g
h
Pacific Caesar
Surabaya
32% High
Prawira Bandung 31% Above Average
Hangtuah
Sumatera Selatan
31% Above Average
NSH Jakarta 30% Above Average
Pelita Jaya
Basketball Club
Jakarta
28% Below Average
Satya Wacana
Salatiga
28% Below Average
Satria Muda
Pertamina Jakarta
26% Below Average
Siliwangi Bogo
r
24% Low
Bank BPD DIY
Bima Perkasa
Yogyakarta
23% Low
Based on table 3, the results of measuring the 3
Point category was obtained using quartiles, it can
be seen the 3 Point category of the Indonesian
Basketball League participant team include 2 teams
in the high category, 3 teams in the above average
category, 3 teams in the below average category, and
2 teams in the low category.
Table 4: Free Throw.
Tea
m
Free Throw Cate
or
Hangtuah
Sumatera Selatan
72% High
NSH Jakarta 67% Hi
g
h
Satria Muda
Pertamina Jakarta
65% Above Average
Siliwan
g
i Bo
g
o
r
64% Above Avera
g
e
Bank BPD DIY
Bima Perkasa
Yo
gy
akarta
64% Above Average
Satya Wacana
Salati
g
a
62% Below Average
Sta
p
ac Jakarta 62% Below Avera
g
e
Prawira Bandun
g
62% Below Avera
g
e
Pacific Caesar
Suraba
y
a
61% Low
Pelita Jaya
Basketball Club
Jakarta
61% Low
Based on table 4, the results of measuring the
Free Throw category was using quartiles, it can be
seen the Free Throw category of the Indonesian
Basketball League participant team, including 2
teams in the high category, 3 teams in the above
average category, 3 teams in the below average
category, and 2 teams in the low category.
Table 5: Total Rebound.
Team
Total
Reboun
d
Category
Satria Muda
Pertamina Jakarta
47 High
Pelita Jaya
Basketball Club
Jakarta
46 High
Bank BPD DIY
Bima Perkasa
Yogyakarta
46 High
Siliwangi Bogo
r
45 Above Average
Stapac Jakarta 45 Above Average
Satya Wacana
Salatiga
44 Above Average
NSH Jakarta 42 Below Average
Pacific Caesar
Suraba
y
a
39 Below Average
Hangtuah
Sumatera Selatan
38 Low
Prawira Bandun
g
36 Low
Based on table 5, the results of measuring the
Total Rebound category was obtained using
quartiles, it can be seen that the Total Rebound
category of the Indonesian Basketball League
participant team, include 3 teams in the high
category, 3 teams in the above average category, 2
teams in the below average category, and 2 teams in
the low category.
Table 6: Assist.
Tea
m
Assist Cate
or
Satria Muda
Pertamina Jakarta
20 High
Sta
p
ac Jakarta 19 Hi
g
h
NSH Jakarta 18 Above Avera
g
e
Prawira Bandung 18 Above Average
Pelita Jaya
Basketball Club
Jakarta
17 Above Average
Pacific Caesar
Suraba
y
a
17 Above Average
Bank BPD DIY
Bima Perkasa
Yogyakarta
16 Below Average
Siliwangi Bogo
r
15 Low
Satya Wacana
Salatiga
15 Low
Hangtuah
Sumatera Selatan
15 Low
A Games Statistics Analysis of Indonesian Basketball League Participant Team of 2018/2019
231
Based on table 6, the results of measuring the
Assist category was obtained using quartiles, it can
be seen that the Assist category of the Indonesian
Basketball League participant team include 2 teams
in the high category, 4 teams in the above average
category, 1 teams in the below average category, and
3 teams in the low category.
Table 7: Turnover.
Tea
m
Turnove
r
Cate
or
Prawira Bandun
g
13 Low
Siliwangi Bogo
r
14 Low
Hangtuah
Sumatera Selatan
14 Low
Bank BPD DIY
Bima Perkasa
Yogyakarta
14 Low
Pacific Caesar
Suraba
y
a
15 Above Average
Satya Wacana
Salatiga
15 Above Average
NSH Jakarta 15 Above Avera
g
e
Sta
p
ac Jakarta 15 Above Avera
g
e
Pelita Jaya
Basketball Club
Jakarta
17 High
Satria Muda
Pertamina Jakarta
17 High
Based on table 7, the results of measuring the
Turnover category was obtained using quartiles, it
can be seen that the Turnover category of the
Indonesian Basketball League participant team
include 4 teams in the low category, 4 teams in the
above average category, and 2 teams in the high
category.
Table 8: Steal.
Tea
m
Steal Categor
NSH Jakarta 13 Hi
g
h
Prawira Bandun
g
11 Hi
g
h
Sta
p
ac Jakarta 10 Above Avera
g
e
Siliwangi Bandung 9 Below Average
Hangtuah Sumatera
Selatan
9 Below Average
Bank BPD DIY Bima
Perkasa Yo
gy
akarta
9 Below Average
Pelita Jaya Basketball
Club Jakarta
8 Low
Pacific Caesar Surabaya 8 Low
Satria Muda Pertamina
Jakarta
8 Low
Satya Wacana Salatiga 7 Low
Based on table 8, the results of measuring the
Steal category was using quartiles, it can be seen
that the Steal category of the Indonesian Basketball
League participant team include 2 teams in the high
category, 1 teams in the above average category, 3
teams in the below average category, and 4 teams in
the low category.
Table 9: Block.
Tea
m
Bloc
k
Categor
Satria Muda
Pertamina Jakarta
4 High
Pacific Caesar
Suraba
y
a
4 High
Prawira Bandun
g
4Hi
g
h
Pelita Jaya
Basketball Club
Jakarta
4 High
Satya Wacana
Salati
g
a
3 Low
Bank BPD DIY
Bima Perkasa
Yo
gy
akarta
3 Low
Siliwan
g
i Bo
g
o
r
3Low
Stapac Jakarta 3 Low
Hangtuah Sumatera
Selatan
3 Low
NSH Jakarta 2 Low
Based on table 9, the results of measuring the
Block category was obtained using quartiles, it can
be seen that the Block category of the Indonesian
Basketball League participant team include 4 teams
in the high category and 6 teams in the low category.
Table 10: Personal Foul.
Tea
m
Personal Foul Cate
or
Hangtuah
Sumatera Selatan
15 Low
Satya Wacana
Salatiga
15 Low
Prawira Bandun
g
15 Low
Pacific Caesar
Surabaya
16 Below Average
Siliwangi Bogo
r
16 Below Average
Satria Muda
Pertamina Jakarta
18 Above Average
Pelita Jaya
Basketball Club
Jakarta
18 Above Average
Bank BPD DIY
Bima Perkasa
Yo
gy
akarta
19 Above Average
Sta
p
ac Jakarta 20 Hi
g
h
NSH Jakarta 22 Hi
g
h
Based on table 10 the results of measuring the
Personal Foul category was obtained using quartiles,
it can be seen that the Personal Foul category of the
YISHPESS and CoIS 2019 - The 3rd Yogyakarta International Seminar on Health, Physical Education, and Sport Science (YISHPESS
2019) in conjunction with The 2nd Conference on Interdisciplinary Approach in Sports (CoIS 2019)
232
Indonesian Basketball League participant team
include 3 teams in the low category, 2 teams in the
below average category, 3 teams in the above
average category, and 2 teams in the high category.
3.2 The Percentage of Statistical
Components of the Winnings
To find out the percentage of statistical components
of the winnings carried out in this study, it is started
by knowing the results of the statistics component of
the Indonesian Basketball League participating team
when competing in 1 season in several cities 30
November 2018-23 March 2019 then sorted from the
highest to the most low so that the statistics
component that has the most influence on victory
can be known.
Table 11: The percentage of Statistical Components
of the Winnings.
Statistics Component Percentage
Field Goal 12.80%
Assist 12.64%
3 Point 11.99%
2 Point 10.38%
Turnover 10.04%
Rebound 9.89%
Steal 9.89%
Free Throw 7.78%
Foul 7.46%
Block 7.13%
Based on table 11, the percentage of statistical
components of the winnings, it can be seen that the
statistics component that has the most influence on
wins during competing in 1 season located in several
cities on 30 November 2018 March 23 2019.
4 DISCUSSION
The aspects related to team wins are not just enough
to play well in the games, but also having to pay
attention to the statistics component because it can
help the team win the games. Based on the results of
the study on the Indonesian Basketball League
participant team, the fact is that each participating
team competing in one of the cities in 30 November
2018-23 March 2019 had a different statistics
component average so that a superior team can be
known in each statistics component. Stapac Jakarta
is superior in field goals and 2 points. "Field goals
are general terms in which numbers are printed in a
game, including when the three points" (Perbasi,
2005)
, while 2 points are numbers obtained if the
team enters the ball from the three point line (except
the free throw). This makes Stapac Jakarta the
highest field goal percentage of 46%. Stapac Jakarta
can excel in the statistical component of the field
goals compared to other Indonesian Basketball
League participants because Stapac Jakarta can
maximize all opportunities well so that it can be
converted to as many points as possible, especially
in the 2 point statistical component, this is important
because more “field goals printed by a team during a
match the chance to win in the match is even
greater” (Oliver, 2004)
.
Satria Muda Pertamina Jakarta is superior in
assist and rebound. "Assists are awards for players
who pass to their teammates in such a way that their
teammates can score" (Perbasi, 2005)
. Satria Muda
Pertamina Jakarta can excel in the statistical
component of assists compared to other Indonesian
Basketball League participant teams because Satria
Muda Pertamina Jakarta has a good point guard or
playmaker in ball processing so that it can make
other players look for space to more easily receive
passing from the point guard. Satria Muda Pertamina
Jakarta that excels in rebounding. Rebounding will
help a team control the basketball hoop and win
possession in each game. "Rebound is a skill that
can be developed by each player, what is needed is a
little heart stability, the right placement, and the
selection of the right time to catch the ball" (Oliver,
2007)
. Of the total games that have been undertaken,
Satria Muda Pertamina Jakarta has rebounded 47
games on average. Satria Muda Pertamina Jakarta
can excel in the rebound statistical component
compared to other Indonesian Basketball League
participant teams because Satria Muda Pertamina
Jakarta has smart players in pushing out opponents
or commonly called block outs when there is a ball
in the air, making it easier for players to master the
ball because the opponent can't get the maximum out
of the ball. This is important because Rebounding is
one of the most important aspects of winning
basketball games. Offensive rebounding gives your
team extra chances, free throw opportunities, and
frustrates the defense. Defensive rebounding is a key
part of good defense in general, limiting the offense
to just one shot. Defensive rebounding combined
with a quick outlet pass can be an effective offensive
weapon, getting the transition game and fast break
going, for a lay-up at the other end.
A Games Statistics Analysis of Indonesian Basketball League Participant Team of 2018/2019
233
Prawira Bandung had the lowest average
turnover in the games is 13 times. NSH Jakarta that
excels in steals. Steal is taking the ball that is being
controlled by the attacker in the game. Of the total
games that have been undertaken, NSH Jakarta
steals in each game an average of 13 times. NSH
Jakarta can excel in the statistical component of
steals compared to other Indonesian Basketball
League participant teams because NSH Jakarta has
fast and agile players, so it can close the opponent's
movement space even more so in keeping opposing
players carrying the ball. That makes the opposing
players uncomfortable in mastering the ball and
resulting in reduced focus so that the ball can be
captured by NSH Jakarta players more easily.
Hangtuah South Sumatra is superior in the free
throw. "Free throw is an attempt to score a number
from a predetermined area (free-throw line) carried
out without the opposition player's face" (Perbasi,
2005)
. Of the total games that have been undertaken
by Hangtuah South Sumatra, that makes Hangtuah
South Sumatra has the highest percentage of free
throws of 72%. Hangtuah South Sumatra can excel
in the free throw statistical component compared to
other Indonesian Basketball League participant
teams because Hangtuah South Sumatra is one of the
teams whose players are often violated by opposing
players and when they get the chance to do free
throws they can maximize it because they have
calmness in executing the shot so that it can make
other players also motivated to maximize the free
throw if they get a chance and moreover there are
many senior players who have experience in this
team. This is important because “the more free
throws printed by a team during a match the greater
the chance to win in the match” (Oliver, 2004)
.
From the results of a study on Indonesian
Basketball League participants who won the games
with excellence in several statistics components, the
facts about the influence of each statistics
component on the team's victory showed that the
statistics component had a sequence of influence on
the team during the games. Each statistics
component has a different influence on the team's
victory in the games. In this study, there are 10
statistical components that can affect victory.
The first statistical component is the field goal
with 12.80%. the field goal becomes the statistical
component which has the first effect because by
printing as many numbers as possible from the
number of opportunities obtained will make the team
play more effectively by not wasting a lot of
opportunities. This can make the numbers printed by
the team higher and make the team's winning
percentage even bigger.
The second statistical component is assists with
12.64%. Assist is a statistical component that has the
second effect because by doing a lot of passing to
score will be more effective than carrying the ball
and entering it without passing. Passing can make
the team more compact in carrying out attacks and
minimize fatigue due to lack of running and only
processing the ball. It also can make opponents
deffered because of the fast and precise passing
game that can make the opponent become more tired
in defence.
The third statistical component is 3 points with
11.99%. 3 points become the third influential
statistical component because the 3 points can widen
the distance between the participants in the game
and can also make the team more confident because
it can widen or reduce the distance of points with the
opponent, so that the opponent's confidence
decreases slightly converting 3 points will have
more psychological influence. A player who shoots
4 for 10 on all three-point baskets has a standard
FG% of 40% and an eFG% of40%.
The fourth statistical component is 2 points with
10.38%. 2 points become the fourth statistic
component that has the fourth effect because it is the
shot most done by all participating teams in the 1
season Indonesian Basketball League. The
participant team prefers to shoot 2 points because
the distance is closer to the ring, making the
percentage of scoring bigger. In a real game of
basketball, what matters is points scored per
possession. A player whose eFG% is 60% is scoring
at a rate equal to shooting 60% on two-point field
goal attempts, a very respectable number.
The fifth statistical component is turnover with
10.04%. Turnover is a statistical component that has
a fifth effect because by minimizing errors, the
potential to score numbers still exists and that can
prevent opponents from doing offence because the
ball is still not moving. If there are a lot of mistakes,
the psychological side of the team will be disrupted,
making it easier for the opponent to potentially
score. “The lower the turnover carried out by a team
during a match, the greater the chance to win in the
match” (Oliver, 2004)
.
The sixth statistical component is the rebound
and steals, each with 9.89%. rebounding into the
sixth statistical component of the Indonesian
Basketball League participant's victory because
rebounding is the beginning for a team to carry out
an attack that can potentially score a team and
prevent opponents from scoring. "It is an important
YISHPESS and CoIS 2019 - The 3rd Yogyakarta International Seminar on Health, Physical Education, and Sport Science (YISHPESS
2019) in conjunction with The 2nd Conference on Interdisciplinary Approach in Sports (CoIS 2019)
234
basis in basketball because it can help the attacking
team produce shots that have high potential to score"
(Oliver, 2007)
. "Rebound can reduce the number of
opponent's shots" (Oliver, 2007). Steal is a statistical
component that has a sixth effect because stealing
can frustrate opponents to score and operate the
moving ball so that it can create the potential to turn
around to score.
The seventh statistical component is free throw
with 7.78%. It is a statistical component which has
the seventh effect because by free throw the
participant team can print numbers easily without
having to bother because it is done without guarding
the opponent. It also harms the opposing team
because players get fouls that have the potential to
be expelled from the game if they have done foul 5
times. What is funny is that in basketball 80% is a
great percentage. A team would be really happy
shooting 80% and most are a good 5% points lower.
There are just more moving parts affecting a free
throw and it is a much smaller goal even though
heact it self is easier.
The eighth statistical component is foul with
7.46%. Foul is the eighth statistical component
because minimizing foul can make the opposing
team not easily score without guarding is free throw.
Besides that, it can make a player last until the end
of the game because the player did not foul for 5
times.
The last statistical component is block with
7.13%. Block becomes a statistical component that
has the last effect because the block only blocks or
dispels opponent's shots which can make the
opponent fail to score. So, the block is not very
important for a team to win the game.
5 CONCLUSION
Based on the results of research on statistics analysis
of 1 season Indonesian Basketball League
participant teams that have been conducted, the
following conclusions are obtained as follows: the
sequence of statistics components that influence the
winnings are: (1) Field Goal is 12.80%. (2) Assist is
12.64%. (3) 3 Points is 11.99%. (4). 2 Points is
10.38%. (5). Turnover is 10.04%. (6). Rebound and
steals is 9.89%. (7). Free Throw is 7.78%. (8). Foul
is 7.46%. and (9). Block of 7.13%. Stapac Jakarta
has the highest Field Goal average is 46%, Satria
Muda Pertamina Jakarta has the highest average
assists in games is 20 times, Stapac Jakarta, Pacific
Caesar Surabaya, and Pelita Jaya Basketball Club
Jakarta has an average of 3 points the highest in the
games is 32%, Stapac Jakarta had the highest
average of 2 points in the games is 53%, Prawira
Bandung had the lowest average turnover in the
games is 13 times, Satria Muda Pertamina Jakarta
had the highest average rebound in the games is 47
times, NSH Jakarta has the highest Steal average in
the games is 13 times, Hangtuah South Sumatra has
the highest free throw average in the games is 72%,
Prawira Bandung, Hangtuah South Sumatra, and
Satya Wacana Salatiga has the lowest foul average
in the games is 15 times, Satria Muda Pertamina
Jakarta, Pacific Caesar Surabaya, and Prawira
Bandung had an average block the highest in the
games is 4 times.
ACKNOWLEDGEMENTS
We are grateful to Indonesian Basketball League in
Jakarta, Indonesia for providing all the data in this
research, which helped us complete the research
subject.
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