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Running Head: EXPLAINING NBA SUCCESS FOR PLAYERS WITH VARIED COLLEGE
EXPERIENCE 1
Explaining NBA Success for Players with Varied College Experience
Cody Ashley
St. John Fisher College
NBA SUCCESS WITH VARIED EXPERINCE 2
Executive Summary
The purpose of this study was to compare early career National Basketball Association
(NBA) success between college basketball players who have either one year of college
experience or four years of experience. This research set out to uncover if there was a substantial
difference in the early performance of these categories of players in terms of specific success
metrics that were outlined.
With the growing trend of players leaving college after just one season of play, it was
important to understand how these athletes are performing at the next level, especially in
comparison to their graduate counterparts. The results of this study are valuable for both the
athletes making the decision to leave and talent evaluators in the NBA.
Quantitative secondary data was utilized. Players drafted between the years 2006 and
2014 were considered for the study and 86 total players (33 freshman; 53 seniors) were selected
using stratified random sampling. Data was collected from www.basketball-reference.com. It
was concluded, that one and done college basketball players perform at a higher level in their
early careers in the NBA.
In each of the eleven variables considered, one and done players scored higher than the
graduates. These variables included draft position, offensive and defensive win shares, field goal
percentage, usage percentage and minutes per game. The research in part determined variables
that predict success in the NBA. These findings are important because they help to understand
why there had been such a strong trend of the one and done college basketball player. When
looking at the continued success that these players are having in comparison to graduates it
demonstrated why those players were leaving, why there was a coaching shift and why the
athletes felt as though there shouldn’t be a restrictive draft eligibility rule.
NBA SUCCESS WITH VARIED EXPERINCE 3
Explaining NBA Success for Players with Varied College Experience
The true success of players in the NBA as well as what types of attributes and
characteristics lead to the most prosperous careers has been studied and evaluated at length
(Deshpande & Jensen, 2015; Moxley & Towne, 2014). Other research has been performed that
discusses which types of college production metrics translate well to the NBA setting for elite
college basketball talent (Coates & Oguntimein, 2010). In addition, different media outlets have
focused on the changing landscape of college basketball and the increasingly evolving coaching
philosophies that are affecting both the athletes and the game itself. (Rosenberg, 2015; Hanner
& Winn, 2016). This ever-changing college basketball environment, that has affected the
decision-making of young athletes, coupled with success evaluation metrics were observed to
show trends that have developed and draw conclusions about when success is most likely to
occur.
Each year since the NBA draft rule change, that restricted draft eligibility to athletes who
are at least one year removed from high school, the trend of college basketball players that are
leaving after just one season in college has risen and these one and dones have been selected
highly within the draft (Harris, 2017). The changing environment of college basketball and the
role of college athletics as a stepping stone have contributed to the obvious trend that has grown
over recent years (White, 2015). Other factors that have contributed, according to past studies,
were the seemingly impossible college adjustment process for “student-athletes,” the lack of
academic resources and dedication and an overall lack of academic focus as a result of athletic
identity (Bimper, Harrison, Logan & Smith, 2017; Melendez, 2010). Due to these many potential
factors, it was a great possibility that elite college basketball players were leaving before they
were ready to enter the NBA draft and developed enough to play at such a high level. Drawing
NBA SUCCESS WITH VARIED EXPERINCE 4
connection to the reasons behind these athletes’ decisions to leave early and their overall success
in the NBA had not previously been studied.
The purpose of this research was to look at both one and done college basketball players
as well as players who left college with a degree and evaluate which path was more beneficial
for success early in their careers. Research has been conducted on what determines success in the
NBA, as well as what college stats have the best chance to convert to the NBA, but there was a
lack of research that compares the athletes at the next level. The data analysis of these athletes
once they enter the NBA, helped to shed light on which path to the next level could potentially
be more beneficial.
The research had a practical application because it can help both NBA scouts and college
athletes trying to make the best decision for their future basketball careers, understand the trends
in terms of success for both one and dones and players who stayed for at least four seasons. It
could potentially give them an advantage to know how the similar players before them fared
once in the league.
The overall purpose of this study was to determine the level of success that each category
of player had in their first three seasons in the NBA. The research question of this study was:
How does early career NBA success compare for one and done players and players with a
college degree?
The aim of the research was to present a better understanding of which career path for
these young basketball players would serve them best in regards to achievement at the
professional level.
NBA SUCCESS WITH VARIED EXPERINCE 5
Background
College Athletics
Division I of the National Collegiate Athletic Association (NCAA) consists of over 350
colleges and universities and over 170,000 athletes across their wide range of athletic teams. The
NCAA has stated that the role of college athletics is to provide their athletes with the skills
necessary to succeed in every aspect of their college career and beyond, throughout their lives
(NCAA, 2017). Their focus from the NCAA point-of-view was not only achievement on the
field of play but academically as well. According to the NCAA website, graduating is just as
important as the athletic success that they provide for their teams and universities as a whole.
They have also advocated that college athletics promote student-athlete well-being and the life
skills that are learned along the way such as leadership, confidence and teamwork.
When looking at the NCAA and the materials that they have presented, it is clear that
they are focused on painting a picture of athletics as just a portion of the college experience. It is
all about the student-athlete and how they can promote a better quality and more sustainable
future for the athletes within the NCAA’s construct. Throughout the NCAA’s website there were
little to no mentions of the financial benefits that the colleges and universities stand to gain from
athletic competition and the overall impact that athletic success has on the colleges (NCAA,
2017).
This is interesting because many of the researchers, journalists and scholars described a
very different landscape and scope of the role of college athletics, especially at the Division I
level of the NCAA. There was a trend that had emerged in which elite athletes were simply using
the college setting as a stepping stone to the next level of athletic achievement. When looking at
the role of the National Junior Collegiate Athletic Association or NJCAA athletics, White (2015)
NBA SUCCESS WITH VARIED EXPERINCE 6
discussed why athletes choose to go to junior colleges as a springboard to the next level. After
reaching a four-year institution within the NCAA, there is a focus for those who are good
enough, to make it to the professional level, without mention of the other aspects of the college
experience such as the academic piece. Ganim (2014) looked at the UNC academic scandal and
discussed the ways in which the athletes at Division I universities in many cases completely
dismiss the academic side of the college experience and only do enough to become NCAA
eligible. Academic cheating was a major occurrence at these colleges and universities because
the athletes were not mentally capable of completing the coursework required. Sara Willingham
of UNC said that many football players at UNC were reading at 4th or 5th grade levels. There
was a complete lack of academic focus for the many of these players that could be traced back to
their time in secondary school, in favor of athletic prowess.
Melendez (2009) has written about the college adjustment process and the role that
athletic identity plays on student-athletes. In athletic programs within Division I universities,
student-athletes have reported a disconnect from academic frameworks because of the continued
focus on athletics and a lack of institutional support. The time commitment and requirements
associated with being a Division I athlete are so great that it takes away from the academic
sphere. This can ultimately lead to negative effects on graduation rates, retention and future,
long-term success for these student-athletes. In Melendez’s study he looked at freshmen and
sophomore student athletes exclusively and utilized a survey method which provided athletic
identity scores for the participants. In this study, athletic identity was defined as the degree that
an individual identifies with a strong athletic role throughout the different aspects of their life
such as cognitively, behaviorally and socially. This athletic identity goes a long way in
determining the culture in which they fit and can show trends within student-athletes with a high
NBA SUCCESS WITH VARIED EXPERINCE 7
or low level of athletic identity. Melendez concluded that student-athletes with higher athletic
identity linked to lower academic performance. This strongly suggests that the socialization and
culture surrounding collegiate athletics is too heavily focused on the athletic prowess and success
of their teams that they are letting academics suffer. It was also noted in the study that male
participants scored higher in terms of athletic identity and therefore lower academic performance
scores. With Division I men’s basketball and football leading the way as the highest revenue
generating programs for universities, this isn’t a surprising finding.
Melendez also discussed the unique situations of black student-athletes within the college
atmosphere and explored the reasons behind it, similarly to the findings of Bimper, Harrison,
Logan, and Smith (2017), who discussed the continued lack of academic success for African-
American athletes in college. In their literature, the scholars present evidence that shows why
black student-athletes largely fail to become successful academically that ranges from
socialization, sport culture, athletic identity, the media and the demands at playing at such a high
level.
Bimper, Harrison, Logan and Smith bring to light the fact that although these athletes are
on a scholarship, they aren’t being afforded the education that should come with it. The demands
and rigors of the sport that they play do not allow them the necessary time or resources to fulfill
their requirements and actually learn from them. The NCAA and the colleges that these elite
athletes play for are raking in millions of dollars each year off the backs of these “student”-
athletes, while very few actually receive any personal gain in the long-run from their athletic
success. There is no need for these universities to place a high priority on academic success if it
has a chance to take away from the product that the athletes put on the field or the court.
NBA SUCCESS WITH VARIED EXPERINCE 8
Bimper, Harrison, Logan and Smith (2017) also provided a backdrop to the differences
between white and black student athletes. They showed that black student-athletes are actually
socialized differently from a younger age into a sole focus surrounding their athletic success,
limiting their academic achievement. There is less support from parents, and coaching figures in
terms of academic focus and fewer resources that are readily available to these students in many
cases. This has the ability to lead to a higher athletic identity, which results in an overall
improvement in athletic performance but has negative effects on academic efforts. The authors
argued that this has been a long-standing norm within the black community and looks to
continue into the future with the way the trends were moving.
It was also important to understand that the media was playing a key role in the mis-
education and mistreatment of black student-athletes that was leading to a lack of focus on non-
athletic curriculum. They pointed to the recent media spectacle that surrounded Colin
Kaepernick after his decision to kneel during the national anthem. The media made a deliberate
statement to young, black athletes, when they said that Colin needed to stop talking about
politics and play the game he is paid to play. They were saying that as a black athlete, there is no
need for him to have a voice and needs to focus on his athletic performance. The media has the
power to strongly influence and shape the mind of its audience and its impact on this issue can’t
be overlooked (Bimper, Harrison, Logan and Smith, 2017).
One & Done and the NBA
In 2005 and becoming effective for the 2006 NBA draft, the NBA imposed a new draft
eligibility policy. Prior to the new rule’s imposition, draft prospects were able to enter the draft
and be drafted once they had graduated high school, no matter their age. With the new eligibility
rules, in order to be eligible to be drafted into the NBA, a prospect must be one year removed
NBA SUCCESS WITH VARIED EXPERINCE 9
from high school (Draft, 2017). This leaves prospects with relatively three options to ponder
before continuing onto their professional career dreams. They can simple train after they
graduate high school and wait for the next draft, they can go overseas and play in a professional
league such as the Chinese Basketball Association, Liga Endesa of Spain, Lega Basket Serie A
of Italy or the National Basketball League of Australia or they can pick a college in the U.S. and
attend to play basketball, while conforming to the college landscape. For most young prospects
that have NBA aspiration, the NCAA’s Division I basketball platform was the most recognizable
and holds the easiest path to getting noticed and ultimately drafted into the NBA.
Draft eligibility rules throughout the major professional sports in America play a big role
in the decisions that student-athletes make in regards to their future careers. The NFL requires
that an athlete must be three years removed from high school before being able to enter the draft.
While the NBA and NFL were restrictive when it comes to draft eligibility, the NHL and MLB
promote freedom and choice for the players who are good enough to make it to the next level. In
the MLB, players have the choice to enter the draft after high school or head to college and play
there as they develop their talent. When the freedom to choose is presented, it allows the
prospects to make the best overall decision for themselves and their skill development, rather
than entering too early or being forced to enter later (Barra, 2012).
In the literature, it was apparent that due to the change in the draft eligibility rules in the
NBA, there had been a shift in coaching philosophies at the college level that was actually
influencing players to leave college after just one season. It was questionable whether this
changing philosophy was actually benefiting one and done players or hurting them in terms of
development and long-term success. Hanner and Winn examined this change in culture in big-
time college basketball and have explained where and why the tide was shifting (2016). In their
NBA SUCCESS WITH VARIED EXPERINCE 10
examination, Hanner and Winn created a five category metric that looked at what the top
programs in the country were valuing in terms of their coaching philosophies. What they
concluded was that the top programs such as Kentucky, Duke, Kansas and Arizona were
continually showing signs of declining talent retention numbers, as well as an increase in instant
impact freshmen. This showed a direct connection between the new type of coaching system in
Division I college basketball and success at the highest level. Coaches were now understanding
that some players have shown signs that they want to get to the next level as quickly as possible
and use college as a stepping-stone, and they are capitalizing on it. Coach John Calipari of
Kentucky was using this ideology as a recruiting tool when he is telling players that they will
come to Kentucky, compete for a championship, develop quickly and leave for the NBA after
one season. Some of these players may be leaving to soon, before they are physically ready for
the NBA, but Calipari was recruiting and reloading talent so quickly that there isn’t enough room
for everyone on the roster. In the article, Hanner and Winn actually discussed Duke’s Coach
Krzyzewski and how over the course of his career he has relied on players that made it to their
junior and senior years before leaving to be successful. Over the course of the past few seasons,
even his coaching theory has changed and is actually working to his and Duke’s benefit in terms
of overall program success.
When looking at one and done college basketball players, some within the media and
surrounding the NBA have acknowledged that the NBA draft eligibility change in 2006 was
restrictive for the “student-athletes” and potentially hurting their success (Harris, 2017). Harris
argued that it is unfair for the NBA to restrict the draft eligibility of the game’s best up and
coming talent. He stated that leading up to the 2017 NBA Draft, nine of the top ten projected
picks happen to be of freshmen status and the only non-freshmen is a player who played
NBA SUCCESS WITH VARIED EXPERINCE 11
overseas. He argued that even without the one year of college basketball, these elite athletes
would be drafted in the early first round. Suggesting that it is all about the perceived potential of
the players have shown leading up to their college careers, rather than their performance in
college. Harris stated that forcing them to play college basketball is a way for the NCAA to make
money off the players and does little to benefit the elite players.
With these new coaching philosophies casting a wide net in the college game, the one and
done trend was rising and it was making talent evaluation more difficult for NBA scouts
(Mannix, 2014). Mannix took a look at the 2014 NBA draft class, which was filled with
freshmen players, who left early for their careers in the NBA. It was imperative that NBA scouts
are looking at these prospects in their high school careers, in workouts and in the limited film
that many of these young talented players have. The sticking point for these NBA teams is that,
even though a player will take a few years to develop in the league and be ready to perform at
such a high level, they cannot pass on them because of the possible potential they possess. It
makes it even harder when the prospects don’t play as much throughout their only college season
and when you factor in the level of deception that college coaches engage in during the draft
process. Throughout the year college coaches won’t praise their players as highly to NBA scouts,
in hopes that they will return for another season, while after the athletes declare for the draft,
there was nothing but praise and admiration that comes from the coaches of the athletes because
they want to show recruits that they put kids in the NBA and get them drafted highly (Mannix,
2014).
Predictors and Success
When considering if a player is successful in their NBA career and in terms of being able
to identify the best players prior to the draft, researchers have acknowledged the importance of
NBA SUCCESS WITH VARIED EXPERINCE 12
understanding trends in regards to college players and their eventual success or failure in the
league. Through their extensive research, Coates and Oguntimein (2010) aimed to find out if
college stats translated to the NBA and which ones correlated with the highest significance. In
their study, the researchers concluded that draft prospects were actually evaluated differently
based on program quality in college and conference. They also found that many college
performance metrics did translate from college to the NBA. College rebounding, blocks and
assists have a strong correlation to NBA stats, whereas scoring had one of the weakest
correlations, although, those who had high scoring efficiency ratings in college had longer NBA
careers and were compensated at a higher level during their careers.
During their study, they found that regardless of early success between two players who
were drafted at different parts of the draft, the NBA team will invest more time and resources
into the higher pick and be willing to stick with them for a longer period of time. They also
found that in terms of overall NBA efficiency, draft position, experience and college quality
were all predictors of sustained NBA success. One of the most important stats that was looked at
in this study was scoring efficiency, which was important in determining draft position and
therefore career longevity in the NBA. Although scoring a lot of points per game may not
exactly translate to the amount of points scored in the NBA, a player that has the ability to score
points and put up high efficiency numbers has a better opportunity to succeed and stay in the
NBA. In a similar study, researchers found that the most important predictors of success in the
NBA were age, college win-shares and overall college team success (Moxley & Towne, 2015).
The true impact of NBA players can be seen differently from the simple stat line or
overall team success over the course of an NBA season (Deshpande & Jensen, 2016). Based on
this research study, depending on the time of the game, the situation and the other players on the
NBA SUCCESS WITH VARIED EXPERINCE 13
court when a given player is playing, the impact of the player should be scored differently.
Deshpande and Jensen did a statistical analysis on NBA stats and situations and created a
formula that would present the true value of each NBA player. To truly gauge the success of a
given player, the situation of the game and the other players on the court, both on the same team
and the opposing one need to be taken into account. This formula that was created analyzed the
win probability of each game, meaning the time left and the score of the game and the quality of
the other players on the court through shifts based on advanced statistics. If a given player is
playing with poorly graded teammates, playing against quality opponents and is impactful in a
close game, the game situation will have a higher bearing on their impact score than if they were
playing in “garbage time” at the end of a blowout game. This metric can more accurately
determine if a player is a good investment based on their unique true impact score, their score
compared to other players and their overall ranking from season to season.
With the continued trending upward of the number of one and done college basketball
players, it was important to understand the reasons behind the numbers and look at which path to
a successful NBA career was more likely. Research into this topic was very important for both
NBA scouts and player personnel directors and the athletes themselves. For scouts and GMs in
the NBA, it was important to be able to evaluate talent at an in depth level and any type of trend
or advantage in the data can be of high importance, especially if it has the opportunity to give a
team a leg up on their competition. For the athletes, it is important that they know all of the facts
surrounding their college careers and leading them into the NBA. If it makes more sense for a
prospect to stay another year or two in terms of success, they may be swayed to stay and
continue to develop their skills as a basketball player and as a person as they have the
opportunity to gain a college degree. Ultimately, the purpose of this research was to find out how
NBA SUCCESS WITH VARIED EXPERINCE 14
one and done college basketball players compared to players with a college degree in terms of
their early career success in the NBA.
NBA SUCCESS WITH VARIED EXPERINCE 15
Method
The purpose of this research was to understand how early career success compares for
both one and done college basketball players and players who earned a college degree, once in
the NBA. This was a quantitative study that utilized secondary data collection. To answer this
question, data were collected from the NBA drafts from 2006 to 2014 and were collected for
both rounds of the draft. These draft years were selected because the draft eligibility rule change
occurred in 2005 and the first draft that was affected was the 2006 NBA draft. The draft years
were limited to 2014 because in this study, three years of NBA statistical data must be collected,
in order to analyze it effectively and determine a given player to be successful or not in their
early career. As the question would suggest, both college basketball players who were drafted
after just one collegiate season and those who graduated with a college degree were being
studied. They were designated as freshmen and seniors respectively throughout the data analysis.
From 2006 to 2014 there were a total of 173 seniors and 68 freshmen drafted into the
NBA in either the first or second round. Fifty-nine of the sixty eight freshmen that were drafted
in those years were drafted in the first round (RealGM, 2017). There was a much wider range in
which the seniors were drafted, but a higher percentage was drafted in the second round than the
first. For this study, 50% of qualifying freshmen drafted into the NBA between 2006 and 2014
were selected as the sample, whereas 30% of qualifying seniors were selected to analyze. This
decision was made in order to keep the number of the sample more manageable when looking at
the data and analyzing the results. Therefore, overall there were 86 NBA players reviewed in the
study. To select the sample from the overall population, stratified random sampling was used
because the population was divided into smaller, subgroups based on shared characteristics or
attributes within the groups.
NBA SUCCESS WITH VARIED EXPERINCE 16
Draft position was collected from www.basketball.realgm.com, while statistical data was
collected from www.basketball-reference.com. The variables that were measured in order to
analyze the data were success metrics such as offensive win shares, defensive win shares, field
goal percentage, field goals per game, assist percentage, rebound percentage, true shooting
percentage (a more accurate calculation of how efficiently a player shoots the ball by taking into
account, field goal %, free throw % and three-point %), and usage percentage (percentage of
team plays, in which a player is used while they are on the court). Other variables included
minutes played per game and number of game played per NBA season for each player. For all of
these metrics, they were collected on a year to year basis and taken as averages per season.
Within the parameters of this study, zeros in the variables data were not considered to be
incomplete data. During the data collection process, a detailed spreadsheet was created that
housed all of the variables from college conference to minutes played and the advanced stat
metrics. This spreadsheet is where the data was analyzed and compared between each group, in
order to determine which was more successful.
Offensive win shares, field goal percentage, field goals per game and true shooting
percentage were used because it was determined by Coates & Oguntimein (2010) that scoring
was a very effective way of determining success in the NBA and a great predictor of career
longevity in the NBA; a player that has the ability to score and score efficiently was more likely
to have a successful NBA career (2010). True shooting percentage and usage percentage had the
ability to go beyond the numbers in a sense and determine more accurately, the overall impact
that a given player has on the game when they are on the court and just how efficient they are
offensively.
NBA SUCCESS WITH VARIED EXPERINCE 17
When analyzing the data from the above metrics, in order to determine which career path
is considered to be more efficient in terms of early career success, overall averages of the
advanced stats were compared between players who left after just one college season and those
who obtained a college degree. The subgroup with the better overall averages was determined to
be more successful in early career success. Both descriptive and inferential statistics were used to
analyze the data.
The data was analyzed to see if the success variables (field goal percentage, offensive
efficiency, usage percentage, etc.) were able to predict whether the athlete went to college for 1
or 4 years with the outcome variables. T-tests were then ran to determine if the differences that
were found between the two categories of players are significant; therefore, for example if there
is a clear difference between shooting percentage for each category, is the difference significant
in answering the question about who was more successful in their early career.
NBA SUCCESS WITH VARIED EXPERINCE 18
Results
Sample
In conducting this research, data were collected from basketball-reference.com in order to
compare the early career success of one and done college basketball players, and those who stayed the
four years in order to receive their college degree. Players were considered for the study if they had
played either one or four years of college basketball. In addition, only players drafted between the years
2006 and 2014 were considered. After randomly selected the sample from the given population, 86
players constructed the sample; 33 players (38%) with one year of college experience and 53 players
(62%) who graduated from college before entering the NBA.
There was a fairly even distribution of draft years that were represented through the research, as
well as varying draft positions throughout the two rounds of the NBA draft (50 in round one; 36 in round
two). Five players were considered from the 2006 draft, 12 from the 2007 draft, 11 from the 2008 draft,
nine from 2009, 13 from 2010, six from 2011 and 10 players from the 2012, 2013 and 2014 drafts.
Overall about fifty percent of possible one and dones and thirty percent of possible seniors were selected
for the study, therefore displaying that the sample was representative of the population. The only players
that were omitted from consideration in the study were those who missed their first season(s) directly
after being drafted due to injury or other factors.
Descriptive Statistics
Statistics were analyzed to get a further understanding of what the players in the sample looked
like and where they stood in terms of success statistics throughout their early careers. In terms of draft
position, the mean position was 26
th
and had a range of 59 with the highest player being drafted 1
st
and
the lowest being drafted last at 60
th
. Fifty percent of the players in the sample were drafted 23
rd
or higher
and the mode of the data was actually 1
st
with five players being drafted first overall.
NBA SUCCESS WITH VARIED EXPERINCE 19
In terms of offensive and defensive win shares their means were 1.15 and 1.10 respectively,
which are very similar, however there was a much higher variance in offensive win shares with a range of
7.73 as compared to defensive with a range of only 3.37. As for field goal percentage, the mean
percentage for the players in this sample was 41.3% with a very large range of 56%. Over the three years
that this study looked at, that the average field goal percentage throughout the NBA was 45.3%, a
substantial difference in terms of what was found in this study. However, about 35% of the sample had a
better average field goal percentage than the league average over those three seasons. The average field
goals made per game for these players were 2.8 FG per game.
True shooting percentage, takes into account two point, three point field goals, as well as free
throw shooting. In this study, the mean true shooting percentage was 47.5%, over three percent higher
than the mean field goal percentage and 50% of the sample had a higher true shooting percentage than
51%. The mean usage percentage of the players studied was 17.8% with a fairly large range of about
24%. Lastly, when it came to minutes played per game and games per season, the sample had an average
games played per season of 52.4 games throughout the 82 game season. As for minutes per game the
mean was about 18 minutes per game with a range of 36 minutes.
Inferential Statistics
A regression with eleven predictor variables was used to predict the outcome variable of years in
college, for this study one or four years. All interpretations of the analysis used, the Bonferroni-adjusted
alpha of .004.
The regression also determined if each success variable was significant in determining the
predicted outcome. The multiple regression model with all eleven predictors produced R² = .486, F(11,74)
= 6.355, p < .05. It was significant. When looking at each variable within the regression it can be seen that
only one of the variables was significant and therefore drove the significant result of the regression. The
driving factor of the results was the draft position predictor variable.
NBA SUCCESS WITH VARIED EXPERINCE 20
Independent T-tests were used to determine which predictor variables had significant differences
between one and done players and those with a college degree in terms of early career success. On
average, one and done players were drafted higher (M = 13.42) than players with four years of college
experience (M = 34.55). This was significant, t(84) = -6.862, p < .05.
When it comes to offensive win shares, one and done players had a higher average (M = 1.6) than
graduates (M = .8698). This was not significant, t(84) = 2.105, p > .05. As for defensive win shares, one
and done players had a higher mean (M = 1.58) than players with four years of college experience (M =
.797). This difference was significant, t(84) = 4.431, p < .05.
On average, one and done players had higher field goal percentage (M = .45) than graduates (M =
.39). This difference was not significant, t(84) = 2.618, p > .05. As for field goals per game, players who
left as college freshman had on average, more field goals per game (M = 3.9) than seniors (M = 2.04).
This difference was significant, t(84) = 4.918, p < .05.
On average, freshman had a higher percentage for both assist (M = 11.9) and rebound percentage
(M = 10.9) than seniors assist (M = 9.6) and rebound percentage (M = 8.9). These differences were not
significant respectively, t(84) = 1.374, p > .05; t(84) = 1.997, p > .05. On average, one and done players
have a higher true shooting percentage (M = .511) than graduates (M = .453). This was not a significant
difference, t(81.583) = 2.789, p > .05.
As for usage percentage, on average, one and done players had a higher percentage (M = 20.3)
than players with four years of college experience (M = 16.3). This was a significant difference, t(84) =
4.029, p < .05. Lastly, when analyzing minutes per game and games played per season, on average, one
and done players had more minutes per game (M = 23.7) and more games played per season (M = 61.5)
than graduates minutes (M = 14.4) and games (M = 46.7). Both statistical differences were significant,
t(84) = 5.011, p < .05; t(84) = 3.162, p < .05.
NBA SUCCESS WITH VARIED EXPERINCE 21
Conclusion
Discussion
Data was collected and analyzed in order to gain a better understanding of early career success
with either one year or four years of college experience once in the NBA. There was a significant
difference between the early career successes between one and done player and players who graduated
college after four years of college experience. Forty-nine percent of the model variance could be
explained using the variables that were analyzed. This means that through this research it had been
determined, in part, variables that predicted success in the NBA.
The main variable that was driving the results was draft position. One and done players, on
average were drafted 13
th
overall in the NBA draft, whereas graduate players were drafted 34
th
. This was
a significant difference and demonstrated that draft position had a direct relationship with early success in
the NBA. Players who decided to leave early were considered to be of the highest talent level, even if
they were not ready to contribute in the NBA immediately, they were still drafted highly based on their
high level of potential.
The most interesting piece of information that the data showed upon running the analysis is that
in every category or variable that was taken into consideration, the one and done players in the research
ranked or scored higher than the four year college players. Some of these success metrics were designated
as significant, whereas some were designated as insignificant when the individual T-tests were used. It
was hypothesized that the four year players would have been more successful within the first three
seasons in the NBA because they were more developed and ready for a professional career. The results
display that being a one and done and being drafted higher in the draft relates to being more successful in
their early careers.
The metrics that were significant were draft position, defensive win shares, field goals per game,
usage percentage, minutes played per game and games played per season. As it can be seen in the results
NBA SUCCESS WITH VARIED EXPERINCE 22
of the study in each category that was significant, there were substantially higher numbers for the one and
done players. One and done players, on average, doubled the defensive win shares and field goals per
game as graduates. They also had a higher usage percentage than graduates by about 4%. When it comes
to minutes and games played, those numbers were actually the closest between the two groups of players,
with a variance of 15 games per season and just seven minutes per game. The closeness between those
two statistics was telling because even though they two different players were playing similar minutes per
game, the one and done players were producing considerably more output for their teams.
Looking at the role of college athletics and determining why young athletes are making the
decisions they are is an important thing to understand. White (2015) had done research into the role of
college athletics as a stepping stone and how it can be connected to the rise of the one and done college
basketball player entering the NBA after just one season of college. Similarly, Ganim (2014) looked at
academic cheating in high level collegiate programs and the potential root of the issues. When reviewing
the findings of this study in conjuncture with the research by these women, it was interesting to see that
due to the clear success that players with only one year of collegiate experience are having early on in
their professional careers, that college basketball was truly being used as a stepping stone by many
athletes who are good enough to make it to the NBA quickly. For players who aren’t as talented there
may be a higher focus on their education even though this still may not be the case entirely.
As noted by both Hanner and Winn (2016) and Mannix (2014), there was a clear shift in coaching
philosophies in college basketball with the focus on the recruit, play one year, win and go pro concept.
This shift could have definitely been attributed to the success that one and done players were seeing early
in their careers coupled with the promise of bright lights and large contracts once drafted into the NBA.
The young players who decide to leave after just one season knew that based on the data, they wouldn’t
be drafted any lower or garner any less success by leaving early and that is what made it an easy choice;
that is why there has been such a shift in both coaching and rise in one and dones and the data presented
reinforces those trends.
NBA SUCCESS WITH VARIED EXPERINCE 23
This research has also displayed that when observing the draft eligibility rule change in 2005, that
the rule change could actually be hurting the athletes, rather than helping them. This has been discussed
by many people within the media that it is a restrictive rule and isn’t helping those who are good enough
to be one and done anyway (Harris, 2017). Based on the early draft positions and the overall success that
those athletes who are talented enough to be one and dones are seeing early in their careers, if there was
no rule restricting eligibility and they could enter straight out of high school that they would be seeing a
similar level of success in the draft and once in the NBA.
Limitations
A limitation for this study was the limited potential sample size based on the NBA draft eligibility
rule change that occurred in 2005. This rule change stated that a player had to be one year removed from
high school in order to be eligible for the draft. With the rule change in 2005, the 2006 draft was the first
official year where there would be true one and done players, who didn’t have the option to enter the draft
any earlier.
Another limitation was the other factors of success that could have affected the overall
performance of each player. Some potential limiting factors could have been the system that the player
played in, in college and then was forced to play in once in the NBA, the coach, the talent level of the
team they were drafted on and the conference they played in. Expanding on the talent level of the team,
many of the players with four years of college experience were drafted lower in the draft, therefore being
drafted to teams with a better record the previous season, which could definitely affect ability to perform
and frankly play in terms of minutes and games per season.
As for delimitations, it was determined that limiting the research to players leaving after their
freshman and/or senior years would create the best results. Lastly, one of the more important
delimitations was the variables or success metrics that were chosen in this study. Overall, there were
twelve variables that were chosen, variables such as player efficiency ratings, scoring, and blocks/steals
NBA SUCCESS WITH VARIED EXPERINCE 24
were left out. If the research was done over, it could have been seen that those variables made a difference
with the percentage of the model variance that was explained.
Recommendations
It is clear that there are some good takeaways as well as some areas that could be explained upon
to create additional knowledge. For college basketball players trying to decide which path to take there
are a lot of factors that go into the decision, but in the data analysis it was determined that there is a
significant difference the success of one and done players and graduates, in favor of the one and dones. It
can be seen that there is a clear path to high draft position and early success for the players talented
enough to leave after just one season. Similarly for talent evaluators at the professional level, there has
been a demonstration that they can be setting themselves up for success by drafting these players.
Although the data was significant, the research could be expanded to include more variables in attempt to
create a higher level of significance with the model. In addition it may be possible to add other factors
that were not added as mentioned in the limitations section, such as looking at the coach, the system and
the success level of the team. There are opportunities to utilize this research, while also expanding it to
create a better understanding and make it more viable in a real world application.
NBA SUCCESS WITH VARIED EXPERINCE 25
References
Barra, A. (2012, April 06). Both the NBA and the NCAA Want to Keep Athletes in College for
Too Long. Retrieved April 10, 2017, from
https://www.theatlantic.com/entertainment/archive/2012/04/both-the-nba-and-the-ncaa-
want-to-keep-athletes-in-college-for-too-long/255535/
Carter, A. (2015, May 16). Gotta go: College players arrive ready to leave early for NBA draft.
Retrieved March 14, 2017, from http://www.charlotteobserver.com/sports/college/mens-
basketball/article21165348.html
Coates, D., & Oguntimein, B. (2010). The Length and Success of NBA Careers: How does
College Production Predict Pro Outcomes? The International Journal of Sport Finance,5
(1), 4-26. Retrieved March 22, 2017.
Deshpande, S. K., & Jensen, S. T. (2016). Estimating an NBA player’s impact on his team’s
chances of winning. Journal of Quantitative Analysis in Sports,12 (2), 51-72.
doi:10.1515/jqas-2015-0027
Dwyer, L. (Ed.). (2015, April 03). When It Comes to Graduation Rates, Here's the Real NCAA
Final Four Winner. Retrieved March 12, 2017, from
http://www.takepart.com/article/2015/04/03/when-it-comes-graduation-heres-real-ncaa-
final-four-winner
Ganim, S. (2014, January 08). Some college athletes play like adults, read like 5th-graders.
Retrieved April 25, 2017, from http://www.cnn.com/2014/01/07/us/ncaa-athletes-
reading-scores/
Harris, J. (2017). The NBA one and done rule is a restrictive farce. The New York Amsterdam
News, 41. Retrieved March 26, 2017, from
http://amsterdamnews.com/news/2017/mar/02/nba-one-and-done-rule-restrictive-farce/
Harrison, L., Bimper, A. Y., Smith, M. P., & Logan, A. D. (2017). The Mis-Education of the
African American Student-Athlete. Kinesiology Review, 6(1), 60-69.
doi:10.1123/kr.2016-0039
NBA SUCCESS WITH VARIED EXPERINCE 26
Mannix, C. (2014). The Power of One. Sports Illustrated,120(25), 42-46. Retrieved March 14,
2017.
Melendez, M. C. (2009). Psychosocial Influences on College Adjustment in Division I Student-
Athletes: The Role of Athletic Identity. Journal of College Student Retention: Research,
Theory and Practice,11 (3), 345-361. doi:10.2190/cs.11.3.c
Moxley, J. H., & Towne, T. J. (2015). Predicting success in the National Basketball Association:
Stability & potential. Psychology of Sport and Exercise, 16, 128-136.
http://doi:10.1016/j.psychsport.2014.07.03
NBA Past Drafts - RealGM. (n.d.). Retrieved May 1, 2017, from
basketball.realgm.com/nba/draft/past_drafts/
Rosenberg, M. (2015). Deal with the Devils. Sports Illustrated, 122(15), 28-38. Retrieved March
4, 2017.
White, C. (2015). Where are they now? NJCAA Review, 66(9), p. 15-19. Retrieved March 12,
2017.
Winn, L., & Hanner, D. (2016). Offensive Developments. Sports Illustrated,124(11), 32-42.
Retrieved March 14, 2017.