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Flipping Coins in the War Room: The Role of Chance in NFL Draft Picks, Slides of Statistics

The debate around the skill and chance involved in NFL draft picks. Using 18 years of NFL data, the authors investigate the relationship between draft order and player performance, and find little evidence of persistent drafting ability within or across teams. They argue that teams underestimate the role of chance and overinvest in player selection skill, suggesting a need for better understanding and management of uncertainty in organizational decision-making.

What you will learn

  • What can teams do to better manage uncertainty in their drafting decisions?
  • What is the relationship between draft order and player performance in the NFL?
  • How much of drafting ability is due to skill versus chance?

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2021/2022

Uploaded on 09/27/2022

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FlippingCoinsintheWarRoom:SkillandChanceintheNFLDraft*
CadeMassey
YaleSchoolofManagement
January7,2011
Overview
Peopleoftenjudgeownersandmanagersontheirabilitytopickplayers.Reputations
havebeenmadeonthebasisofoneortwosuccessfulpicks,andcareersruinedby
spectacularlyunsuccessfulones.Consistentwiththis,teamsspendmillionsofdollarsand
thousandsofhoursondraftpreparation.Thisseemsappropriategivenhowmuchimpact
draftedplayerscanhaveonateam.Butdoesthateffortandinvestmentmakeadifference?Is
thereanyevidenceofplayer‐pickingskill?
Wehypothesizethatsuccessinplayerselectionislargelychance.Previousresearchhas
shownthereissignificantuncertaintyinforecastingtheNFLcareersofcollegeplayers,andthat
teamsunderestimatethisuncertainty(Massey&Thaler,2010).Indeedacrossmanydomains,
peopleunderestimatetheroleofchanceinoutcomes(Fischhoff,1982).Oneconsequenceof
thisis“outcomebias”,atendencytojudgeadecisionbyitseventualoutcomeratherthanby
inputsavailableatthetime(Baron&Hershey,1988).Becauseofthesetendencies,
managementisoverlypraisedwhenplayerssucceedandoverlycriticizedwhentheydonot.
Managementerrsaswell,investingtoomuchinthe“skill”ofpickingplayersandtoolittleon
the“pickmanagement”thattheroleofchancesuggests.

*Selectedfortheresearchpapercompetitionatthe5th‐annualMITSloanSportsAnalyticsConference.Presented
attheconferenceonMarch4,2011.
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Download Flipping Coins in the War Room: The Role of Chance in NFL Draft Picks and more Slides Statistics in PDF only on Docsity!

Flipping Coins in the War Room: Skill and Chance in the NFL Draft *

Cade Massey Yale School of Management January 7, 2011

Overview People often judge owners and managers on their ability to pick players. Reputations have been made on the basis of one or two successful picks, and careers ruined by spectacularly unsuccessful ones. Consistent with this, teams spend millions of dollars and thousands of hours on draft preparation. This seems appropriate given how much impact drafted players can have on a team. But does that effort and investment make a difference? Is there any evidence of player‐picking skill? We hypothesize that success in player selection is largely chance. Previous research has shown there is significant uncertainty in forecasting the NFL careers of college players, and that teams underestimate this uncertainty (Massey & Thaler, 2010). Indeed across many domains, people underestimate the role of chance in outcomes (Fischhoff, 1982). One consequence of this is “outcome bias”, a tendency to judge a decision by its eventual outcome rather than by inputs available at the time (Baron & Hershey, 1988). Because of these tendencies, management is overly praised when players succeed and overly criticized when they do not. Management errs as well, investing too much in the “skill” of picking players and too little on the “pick management” that the role of chance suggests.

  • (^) Selected for the research paper competition at the 5 th (^) ‐annual MIT Sloan Sports Analytics Conference. Presented at the conference on March 4, 2011.

Data & Method We investigate these issues using 18 years of NFL data (1991‐2008). We consider how well each pick performs using very simple performance statistics – such as games started or pro bowls played – in the five years after being drafted. We first establish the relation between performance and draft order, finding the downward slope one would expect – by all measures, performance is related to draft order. We then evaluate a team’s drafting ability by measuring deviations from this expectation. If there is team‐specific skill in player selection, these deviations should be related within a team. For example, a team good at selecting players might have positive deviations in successive years, or in successive picks. Figure 1 provides an example from the Dallas Cowboy’s 2003 draft. The figure shows the team’s first six draft picks, the pick with which they were taken (horizontally), and the average number of games started (0‐16) during their first five years on (vertically). The downward sloping blue line is the expected performance for each draft position, estimated from the entire dataset and adjusted for the particular draft year. We measure the success of a draft pick as the performance relative to this expectation.

We estimate the ICC for each of the 18 years in our sample, finding remarkably little evidence of within‐team variation. The average intraclass correlation across is .01. The maximum correlation was in 1995, when the ICC was estimated to be .12 (though even here the confidence interval included 0). In 13 of the 18 years the coefficient is estimated to be 0, the minimum value.

Result 2: Within Organization, Across Years A second way we look for persistent drafting ability is in the relation between a team’s draft success in consecutive years. If a particularly good or bad year is due purely to chance, performance one year should be unrelated to performance the next year. To run this test we first average the performance of each set of picks within a team‐year. As above, performance is average games started in the player’s first five years, relative to expectations for his draft‐pick. We then simply regress a year’s average performance on the previous year’s average performance. We conduct these tests for each team using our entire 18‐year sample, as well as for every consecutive 10‐year sample within it. The figure below depicts these data.

As one might surmise by inspection alone, we find no evidence of persistent performance across consecutive years. Using the 18‐year sample, draft performance is not reliably predicted by the previous year’s performance for any of the teams. Looking at the narrower 10‐year windows (to mitigate the impact of turnover in organizations), we still find no reliably positive relations between years. That is, in no 10‐year period between 1991 and 2008 did a team’s draft performance reliably predict the following year’s draft performance. Indeed, across these 256 (team‐decade) tests the average coefficient for the previous year’s performance was ‐0.14 (the average SE was 0.36).

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5 1993 1998 2003 2008 1993 1998 2003 2008 1993 1998 2003 2008 1993 1998 2003 2008 1993 1998 2003 2008 1993 1998 2003 2008

ARI ATL BAL BUF CAR CHI

CIN DAL DEN DET GB IND

JAC KC MIA MIN NE NO

NYG NYJ OAK PHI PIT SD

SEA SF STL TB TEN WAS Starts/Season (vs. Expectations), per Pick

1st 6 picks only. Player's 1st 5 years. Through 2008.