Excited to share my first #WSABI Research Note with Professor @adiwyner, where we explore why "blown leads" are far more common than they seem! Full probability paper coming 🔜
How rare is it for an @NFL team to squander a seemingly comfortable lead?
@Wharton Ph.D. student @JDPipping & @adiwyner examine win probability models & demonstrate that these “collapses” are actually far more common than they seem.
Read here → whr.tn/3UtuNH8
Incredibly hyped and grateful!! Thankful for awesome teammates @ColeJacobson32@JDPipping & for @StatsbyLopez@DataWithBliss & NFL for hosting!! A remarkable & fun competition, a real bright spot & cornerstone of sports analytics! Very impressed with this year’s entries.
Excited to share this year's #BigDataBowl entry w/ @RyanBrill_ & @JDPipping. We built a model using safeties' pre-snap movements to predict coverages, & we identified defenses' key tells, plus which teams disguise the best. S/o @StatsbyLopez for organizing
bit.ly/4gUBs6E
@ericeager_ thank you for everything eric. your influence on the space has been and will continue to be felt. we’ll miss you, but we’re just as happy for you too. keep being great :,)
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