🏆 1st Place - 2021 SIS Data Analytics Challenge
buymeacoffee.com/jbuddavis
▫️NE most underrated region
▫️South & West appropriately ranked
▫️Rural + Minor Metro consistently underrated
▫️BIG adjustment for value:
▫️#300 Rk Rural South recruit = #100 rk in Exp Value
▫️#100 Rk NE Minor Metro = Borderline 5 Star
▫️NE most underrated region
▫️South & West appropriately ranked
▫️Rural + Minor Metro consistently underrated
▫️BIG adjustment for value:
▫️#300 Rk Rural South recruit = #100 rk in Exp Value
▫️#100 Rk NE Minor Metro = Borderline 5 Star
▫️Miami somehow underrated recruiting territory
▫️LA & SF: not THAT different
▫️Philly one of the most underappreciated recruiting territories in the US
▫️Birmingham = Saban Effect?
▫️Non South-FL is rough (JAX - ORL - TPA - NP)
▫️Miami somehow underrated recruiting territory
▫️LA & SF: not THAT different
▫️Philly one of the most underappreciated recruiting territories in the US
▫️Birmingham = Saban Effect?
▫️Non South-FL is rough (JAX - ORL - TPA - NP)
Recruiting Services Underrate Recruits who:
▫️Take 4 OVs
▫️Commit to teams that performed well in FPI the previous year (or coach & development effect!)
▫️Visited many high-FPI teams
Recruiting Services Underrate Recruits who:
▫️Take 4 OVs
▫️Commit to teams that performed well in FPI the previous year (or coach & development effect!)
▫️Visited many high-FPI teams
▫️Recruit Rank appears to already account for OVs (flat DVOE)
▫️OV Quality calc'd by Bradley-Terry methods
▫️4 OVs could be signal, but will need to look at more data
▫️OV Quality metrics are flat
▫️TLDR: don't use OVs to adjust recruit ranks
▫️Recruit Rank appears to already account for OVs (flat DVOE)
▫️OV Quality calc'd by Bradley-Terry methods
▫️4 OVs could be signal, but will need to look at more data
▫️OV Quality metrics are flat
▫️TLDR: don't use OVs to adjust recruit ranks
Draft Probability predictions for 2019 Left and 2024 Right
This is version 0.1, but overall like where we're going
Draft Probability predictions for 2019 Left and 2024 Right
This is version 0.1, but overall like where we're going
It’s a tall order since the draft is a 1/15 filter and the DV curve is exponential
But we know there is predictive info (like pos normalized ht/wt!)
Feature engineering is gonna be key here
It’s a tall order since the draft is a 1/15 filter and the DV curve is exponential
But we know there is predictive info (like pos normalized ht/wt!)
Feature engineering is gonna be key here
DEF
▫️Serious DL weight
▫️Great size on FR K. James & Collins
▫️Put Weston @ EDGE /s
▫️T. Mitchell is a dude
OFF
▫️Love the OL WT & HT distribution
▫️Hansen is gonna murder a DB
▫️Savaiinaea & Zip don't have the body types
▫️Nice blend of WR sizes
DEF
▫️Serious DL weight
▫️Great size on FR K. James & Collins
▫️Put Weston @ EDGE /s
▫️T. Mitchell is a dude
OFF
▫️Love the OL WT & HT distribution
▫️Hansen is gonna murder a DB
▫️Savaiinaea & Zip don't have the body types
▫️Nice blend of WR sizes
▫️Results are intuitive
▫️4-5 man boxes limit pass game, but are vulnerable to run
▫️7-9 man boxes limit run game, but are vulnerable to the pass
▫️6 man boxes perform well vs both run & pass (goldilocks)
▫️Results are intuitive
▫️4-5 man boxes limit pass game, but are vulnerable to run
▫️7-9 man boxes limit run game, but are vulnerable to the pass
▫️6 man boxes perform well vs both run & pass (goldilocks)
Most results are intuitive & the portal largely seems to function to help players find an appropriate level of competition
https://cfbnumbers.substack.com/p/statistical-properties-of-the-cfb?utm_source=url
Most results are intuitive & the portal largely seems to function to help players find an appropriate level of competition
https://cfbnumbers.substack.com/p/statistical-properties-of-the-cfb?utm_source=url
there is a clear relative age bias in highly rated HS football recruits.
there is a clear relative age bias in highly rated HS football recruits.
▫️Part 1: Talent Availability
▫️Roughly 30% of recruiting can be explained by Location
▫️200 mi found to be most-predictive distance for Top 300 players
▫️No surprise Bama/UGA have recruiting success
▫️Deviations discussed in Part 2
▫️Part 1: Talent Availability
▫️Roughly 30% of recruiting can be explained by Location
▫️200 mi found to be most-predictive distance for Top 300 players
▫️No surprise Bama/UGA have recruiting success
▫️Deviations discussed in Part 2
probably a +50-75 mrem exposure
roughly the same as 6 chest x-rays. probably took 1 hr off his life expectancy
https://www.reddit.com/r/berkeley/comments/13hv95y/i_survived_living_in_la_and_commuting_to_cal_by/
probably a +50-75 mrem exposure
roughly the same as 6 chest x-rays. probably took 1 hr off his life expectancy
https://www.reddit.com/r/berkeley/comments/13hv95y/i_survived_living_in_la_and_commuting_to_cal_by/
- Napier Recruits/Transfers make up 56 of 83 roster scholarships (67%)
-Napier Guys make up 204 of 265 (77%) remaining eligibility years
-Mullen Guys make up majority of players w/ 1-2 years of eligibility (17/27; 63%). Next year will be ~50/50
- Napier Recruits/Transfers make up 56 of 83 roster scholarships (67%)
-Napier Guys make up 204 of 265 (77%) remaining eligibility years
-Mullen Guys make up majority of players w/ 1-2 years of eligibility (17/27; 63%). Next year will be ~50/50