Dataset: CFB Recruiting And Draft Evaluation Data

About this Dataset

CFB Recruiting And Draft Evaluation Data

I spend alot of time on message boards discussing my beloved Ole Miss Rebels.

I stumbled across a question, "how well do recruiting evaluation agencies like 24/7 sports evaluate and project talent? And also being a data nerd, I figured this was the perfect question to lob into the ML and data science community.

The dataset here is an amalgam of recruiting player data from 2008-2022, NFL draft data from the same span, and player metrics from 2013-2022 (first date available). All credit to data creation and warehousing should go to Bill at CFB data.

Columns:

ident = unique ID to player
rank = player's recruit ranking in class per year
name = player name (str)
recruit_year = year the player was signed
comp_recruit_rating = composite recruit rating (0.0-0.99)
stars = player star rating (1-5)
position = player's position on field
school = player school/college
draft_grade = assessment of NFL draft potential (continuous)
draft_success = was player drafted in rounds 1, 2 or 3? (0, 1)
countablePlays = usage rate, essentially how many plays each player contributed to over career
averagePPA.all = an advanced metric, Predicted Points Added attempts to boil down how many points a player adds to team - average value over career
totalPPA.all = same as above, but summed over player career

Let me know if you have any questions! Happy modeling!

Tables

Dfcomplete 2

@kaggle.jwblackston_recruit_draft_eval.dfcomplete_2

59.33 KB
439 rows
27 columns


CREATE TABLE dfcomplete_2 (
  "ident" BIGINT,
  "rank" BIGINT,
  "name" VARCHAR,
  "recruit_year" BIGINT,
  "comp_recruit_rating" DOUBLE,
  "stars" BIGINT,
  "position" VARCHAR,
  "school" VARCHAR,
  "draft_grade" DOUBLE,
  "college" VARCHAR,
  "draft_year" DOUBLE,
  "overall" DOUBLE,
  "d_round" DOUBLE,
  "pick" DOUBLE,
  "position_y" VARCHAR,
  "draft_success" BIGINT,
  "id" DOUBLE,
  "team" VARCHAR,
  "countableplays" DOUBLE,
  "averageppa_all" DOUBLE,
  "totalppa_all" DOUBLE,
  "totalppa_pass" DOUBLE,
  "totalppa_rush" DOUBLE,
  "position_1" VARCHAR,
  "season" DOUBLE,
  "career_avgppa" DOUBLE,
  "career_totalppa" DOUBLE
);