SlideShare a Scribd company logo
The STEEM of Sports
Deborah Kozdras
Dkozdras@usf.edu
DecisionsByDesign.Weebly.com
Team Stats
Player Stats
I chose __________because: _________________________________________
PACED Decision Making Model
P – Purpose: Decision or Problem?
A – Alternatives or choices
C – Criteria to evaluate the alternatives
E – Evaluate the alternatives
D –Decision – Evidence-based decisions
Price Comparisons
Dear Students,
I am the general manager (GM) of a National Hockey
League (NHL) team. I have to decide which players to
cut (remove) from the team, and which players to
keep. This is a very difficult decision for me to make. I
care about the players and this decision will end the
hockey careers of those who are cut. This happens
every season, so I want a system that can be used to
make this decision every year. Our team has a salary
cap. That means we have a limit to the amount of
money we can spend on player salaries. We have
added the player's salaries to the data. Salary- this is
the amount of money the team has to pay this player
every year. The less money we have to pay the players,
the more money we make. We want to keep the
amount of money we spend on player's salaries as low
as possible.
Other things to consider when deciding which players to keep and
which players to cut:
*Ranking - This is a score given to players. It tells how good the
player is. Data such as how goals scored and how many assists
earned are used to decide this score. – the higher, the better.
*Age- for most players they hit their peak by age 25. After age 30
performance declines.
*Players popularity among the fans- The more popular players
cause fans to buy tickets and team merchandise, which brings
more money into the team.
*College backgrounds- players who are smarter tend to do better
in school, play better, and have a longer playing career.
Please look at the data included with this letter and create a
system that can be used every time I have to cut players. Please
list players in the order that I should cut them from the team. We
do not know how many will be cut yet. I will start at the top and
cut the number of players we need to cut this year. Email your
choice back to me and explain how you made your decision.
Explain how we can use your system with other teams and other
sets of data.
Google Data and News
Using Sports Analytics to Teach Math
What is the denotative (definition/dictionary)
meaning of Lightning?
What is the connotative meaning of Lightning?
Which players make the highest
salaries?
cards
https://www.econedlink.org/teacher-lesson/650/Why-does-Eli-Manning-Make-$24-million-per-
year
Diamond and
Water Paradox
Why are diamonds
more expensive than
water, even when
water is essential for
life and diamonds are
not?
https://study.com/academy/lesson/diamond-water-paradox-in-economics-definition-examples.html
Sports and economics

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Sports and economics

  • 1. The STEEM of Sports Deborah Kozdras Dkozdras@usf.edu DecisionsByDesign.Weebly.com
  • 4. I chose __________because: _________________________________________ PACED Decision Making Model P – Purpose: Decision or Problem? A – Alternatives or choices C – Criteria to evaluate the alternatives E – Evaluate the alternatives D –Decision – Evidence-based decisions
  • 6.
  • 7. Dear Students, I am the general manager (GM) of a National Hockey League (NHL) team. I have to decide which players to cut (remove) from the team, and which players to keep. This is a very difficult decision for me to make. I care about the players and this decision will end the hockey careers of those who are cut. This happens every season, so I want a system that can be used to make this decision every year. Our team has a salary cap. That means we have a limit to the amount of money we can spend on player salaries. We have added the player's salaries to the data. Salary- this is the amount of money the team has to pay this player every year. The less money we have to pay the players, the more money we make. We want to keep the amount of money we spend on player's salaries as low as possible.
  • 8. Other things to consider when deciding which players to keep and which players to cut: *Ranking - This is a score given to players. It tells how good the player is. Data such as how goals scored and how many assists earned are used to decide this score. – the higher, the better. *Age- for most players they hit their peak by age 25. After age 30 performance declines. *Players popularity among the fans- The more popular players cause fans to buy tickets and team merchandise, which brings more money into the team. *College backgrounds- players who are smarter tend to do better in school, play better, and have a longer playing career. Please look at the data included with this letter and create a system that can be used every time I have to cut players. Please list players in the order that I should cut them from the team. We do not know how many will be cut yet. I will start at the top and cut the number of players we need to cut this year. Email your choice back to me and explain how you made your decision. Explain how we can use your system with other teams and other sets of data.
  • 9.
  • 11. Using Sports Analytics to Teach Math
  • 12.
  • 13.
  • 14. What is the denotative (definition/dictionary) meaning of Lightning? What is the connotative meaning of Lightning?
  • 15. Which players make the highest salaries? cards
  • 17. Diamond and Water Paradox Why are diamonds more expensive than water, even when water is essential for life and diamonds are not? https://study.com/academy/lesson/diamond-water-paradox-in-economics-definition-examples.html