Joshua โ€œBudโ€ Davis's Avatar

Joshua โ€œBudโ€ Davis

@jbuddavis.bsky.social

Environmental & Geophysics Consulting | CFB Analytics ๐Ÿ† 1st Place - 2021 SIS Data Analytics Challenge buymeacoffee.com/jbuddavis

989 Followers  |  126 Following  |  24 Posts  |  Joined: 14.05.2023  |  1.6295

Latest posts by jbuddavis.bsky.social on Bluesky

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๐Ÿ“ŠRegional Bias in CFB Recruit Rankings

โ–ซ๏ธNE most underrated region
โ–ซ๏ธSouth & West appropriately ranked
โ–ซ๏ธRural + Minor Metro consistently underrated
โ–ซ๏ธBIG adjustment for value:
โ–ซ๏ธ#300 Rk Rural South recruit = #100 rk in Exp Value
โ–ซ๏ธ#100 Rk NE Minor Metro = Borderline 5 Star

01.03.2025 19:23 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

bsky.app/profile/jbud...

24.02.2025 18:32 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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The map view of this is interesting. Generally appears that Southern Urban Areas are Overrated. Conversely, Urban Areas up North are Underrated.

24.02.2025 17:16 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 2
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๐Ÿ“ŠOver/Under-Rated Metro Area HS Recruits

โ–ซ๏ธMiami somehow underrated recruiting territory
โ–ซ๏ธLA & SF: not THAT different
โ–ซ๏ธPhilly one of the most underappreciated recruiting territories in the US
โ–ซ๏ธBirmingham = Saban Effect?
โ–ซ๏ธNon South-FL is rough (JAX - ORL - TPA - NP)

24.02.2025 17:14 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1

Iโ€™ll do a post on it soon, but itโ€™s HS football recruiting related

22.02.2025 22:36 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐Ÿ‘€

22.02.2025 20:38 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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๐Ÿ“ŠPredictiveness of Official Visits pt 2

Recruiting Services Underrate Recruits who:
โ–ซ๏ธTake 4 OVs
โ–ซ๏ธCommit to teams that performed well in FPI the previous year (or coach & development effect!)
โ–ซ๏ธVisited many high-FPI teams

20.02.2025 17:02 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐Ÿ“ŠOfficial Visit Data Analytics

โ–ซ๏ธRecruit Rank appears to already account for OVs (flat DVOE)
โ–ซ๏ธOV Quality calc'd by Bradley-Terry methods
โ–ซ๏ธ4 OVs could be signal, but will need to look at more data
โ–ซ๏ธOV Quality metrics are flat
โ–ซ๏ธTLDR: don't use OVs to adjust recruit ranks

19.02.2025 18:25 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

right now performance is roughly equal to just using the expert consensus rank in terms of average draft value.

i think we can bump that up in v0.2 based on a couple data pipelines i'm working on

12.02.2025 22:18 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Working on developing my own HS recruit rankings using ML methods

Draft Probability predictions for 2019 Left and 2024 Right

This is version 0.1, but overall like where we're going

12.02.2025 22:18 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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Working on a ML model to predict future draft value for HS recruits

Itโ€™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

11.02.2025 21:23 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Preview
a man in a suit and tie is dancing with his hands in the air ALT: a man in a suit and tie is dancing with his hands in the air
10.02.2025 22:12 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐Ÿ“ŠUF 2023 Roster Vizualization

DEF
โ–ซ๏ธSerious DL weight
โ–ซ๏ธGreat size on FR K. James & Collins
โ–ซ๏ธPut Weston @ EDGE /s
โ–ซ๏ธT. Mitchell is a dude

OFF
โ–ซ๏ธLove the OL WT & HT distribution
โ–ซ๏ธHansen is gonna murder a DB
โ–ซ๏ธSavaiinaea & Zip don't have the body types
โ–ซ๏ธNice blend of WR sizes

18.07.2023 15:00 โ€” ๐Ÿ‘ 2    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

cap

09.07.2023 04:53 โ€” ๐Ÿ‘ 1    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

https://www.theonion.com/man-says-fuck-it-eats-lunch-at-10-58-a-m-1819574888

07.07.2023 16:42 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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Insights from SIS college-level "Defenders in the Box" data:

โ–ซ๏ธResults are intuitive
โ–ซ๏ธ4-5 man boxes limit pass game, but are vulnerable to run
โ–ซ๏ธ7-9 man boxes limit run game, but are vulnerable to the pass
โ–ซ๏ธ6 man boxes perform well vs both run & pass (goldilocks)

07.07.2023 01:26 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Preview
CFBD Blog - Opponent Adjusted Stats using Ridge Regression "The biggest variable in football is the fact that each team plays a different schedule against teams of disparate quality." - Football Outsiders "They ain't played nobody Pawllllllll." - SEC Proverb...

How I Make Opponent Adjusted CFB Stats using Ridge Regression

https://t.co/G7rF11Wgsc

07.07.2023 01:24 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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The first part of my data dive into the CFB transfer portal is up at @cfbnumbers.bsky.social

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

07.07.2023 01:22 โ€” ๐Ÿ‘ 5    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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This is probably expected, but I've never seen it visualized:

there is a clear relative age bias in highly rated HS football recruits.

07.07.2023 01:19 โ€” ๐Ÿ‘ 4    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Gonna move some of my most useful Twitter posts over here

07.07.2023 01:18 โ€” ๐Ÿ‘ 5    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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๐Ÿ“ŠWhat Factors Predict CFB Recruiting Success

โ–ซ๏ธPart 1: Talent Availability
โ–ซ๏ธRoughly 30% of recruiting can be explained by Location
โ–ซ๏ธ200 mi found to be most-predictive distance for Top 300 players
โ–ซ๏ธNo surprise Bama/UGA have recruiting success
โ–ซ๏ธDeviations discussed in Part 2

07.07.2023 01:16 โ€” ๐Ÿ‘ 8    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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My home for the next two weeksโ€ฆ still less toxic than a 247 board

16.06.2023 21:22 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

did some back of the envelope math on the rad exposure of 138 flights & 55,593 miles

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/

25.05.2023 17:53 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

I've got 2 you're missing from the USS SCORPION Nuclear Torpedo arsenal

https://www.energy.gov/sites/prod/files/2019/09/f66/NT-19-1.pdf

25.05.2023 16:10 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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Billy Napier's Roster Makeover

- 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

25.05.2023 13:45 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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