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Are the games rigged?

Great pod and great content recently, big fan. This channel deserves more recognition for sure

great video - I wish this channel was still making content of this caliber.

Tej is the 🐐

I want a video on soccer I have to submit project tomorrow

Nice video Arjun, would love to see more on this channel. Especially if any Python videos are in the works! (Otherwise I'm gonna have to learn R too!)

Any plans to do any other videos? Would love to see more stuff in Python

Any plans to do anymore of these in Python?

I'm at 33:11 but 3 of my team graphics (Packers, Raiders, and Jets) are still huge while all the others are small like in the example. I even copied and pasted the last few cells of code from the premade notebook into the one I'm coding along in. Even if I run the code in the premade notebook 2 of the team logos are huge on the EPA chart. Anyone have any advice? This is the notebook I've been building while following along: colab.research.google.com/drive/1kA0TBNMKZlGkhtndPSvPu3fvDuPGNHpX?usp=sharing

Trying to figure out why it's listing 36 teams (0 thru 35) in the 2022 NFL season.

Hi - Are you still reviewing and by chance answering questions about the code here. I am brand new to python and coding really. i am trying to load in all data for the last 5 years and predict how many rushing yards someone will have in an upcoming game. Basically trying to validate the Over / Under for Rush Yards against what DraftKings has. Do you have any code or videos that would help pull this specific data. I am using this video as a starter. getting there I think, but if you have anything specific around specific data types, it would be helpful

DMwR has been deprecated D:

This is awesome. Thank you for doing it. Do you know why some of the logos did not scale down for me?

Continuing my review of AI/ML after about 6 weeks with Deep Learning and PyTorch I have been looking to upgrade my Colts By Numbers website with some interesting comparisons and projections. In the last few days I'm sorting out the models and figuring out data splits, model training and predictions. Probably looking at time series visualizations. This was very helpful. Getting a nice project plan and will probably use nfl_data_py to train some models on some ideas. Then when the regular season starts pull current season data, run predictions and make some cool comparisons and projections and rotate feature stats.

U should be using environments right? Doesn’t pip install with no environment plug up your pc in the long run? Also u want the environment to explain in a readme file what u where using when it worked. Let me kmow

I dig the teaching do it in python

Bro why u using r as a primary’s

Came back to this video (6/18/2024) right after the NumPy 2.0.0 version release. I am brand new to coding, but for this program to work, you have to have NumPy version 1.26.4 to work. If you do a simple Gemini/ ChatGPT search on how to change NumPy verions, its quite simple Best of luck to all!

The little squiggly thing 🤣🤣

Is there a way I can get the raw pbp data that you use?

one thing I discovered while running this with 2023 numbers was that B. Robinson was counted as Bijan and Brian.. so for me the targets total was 129 (combined of the two) and it seemed to do the same with their other stats. Is there a better way to grab their names without just using first initial and last name?

Hey this is great. What is the best way to get updated data for this past season 23-24?

This is super cool man. Thanks for sharing. I'm just getting started but having someone explain code like this is easily my best way to learn.

Sadly NFL participation data is no longer supported outside of PrimeTime games - do you plan to source this data from somewhere else?

I'm getting stuck at the very beginning because the load_participation function is giving me this error: Error in data.table::setkeyv(pbp, c("game_id", "play_id")) : some columns are not in the data.table: game_id,play_id Any idea how to fix this?

Appreciate these brotha! Best of luck to you

The name of the symbols used to quote column names is backticks (or grave accent). Great video. Thanks for it. I’m keen on your next tutorial.

I opened colab and ran the code and am getting this error ModuleNotFoundError: No module named 'nfl_data_py'

Is there a website where we can follow your work more consistently

Great stuff

Great job, Arjun! Would love to see more of these.

Great job - always love the analysis and insights

Thanks for your introduction video. I wanted to create a formula that shows QB EPA without YAC oe from the receiver. This is my formula, but it doesn't work: nflfastR::load_pbp(2023) %>% dplyr::group_by(passer, passer_id, posteam) %>% dplyr::mutate(attempts = sum(pass_attempt)) %>% dplyr::filter(attempts >= 100) %>% dplyr::summarize( epa_qb = mean(qb_epa + xyac_epa - yac_epa), qb_epa = mean(qb_epa), xyac_epa = mean(xyac_epa), yac_epa = mean(yac_epa), yac_oe = mean(yac_epa - xyac_epa), att = dplyr::n() ) %>% dplyr::ungroup() %>% dplyr::select(passer, posteam, att, epa_qb, qb_epa, yac_epa, xyac_epa, yac_oe) %>% dplyr::arrange(-epa_qb) %>% utils::head(32) %>% knitr::kable(digits = 3) Can you pls fix it? Thank you!

Do you have a video on quaterback cummulative epa over many seasons?

GO SEAHAWKS!

Love this! Happy I randomly found your work - It's very well thought out and presented!

This is awesome, learned a lot. Thanks for sharing.

Can you make more videos of python and nfl? 🥺

Great video, very helpful information for a novice who's trying to learn.

Enjoyed this young man...thanks for teaching an old guy some new tricks 👍

Will this auto update throughout the season?

Really cool

Thank you so much for these videos. I’m recently getting into tech and was struggling to find projects that’d keep my interest. You’ve given me many ideas and I’ll be back to thank you again after I land a job in Data Science.

This was perfect! thanks so much for doing this. looking forward to future videos!

Great stuff Tej!

Tej, this is amazing. You are one of, if not the only, one doing this sort of work for NFL. In my studying, you have helped me immensely, and I hope that you continue to share your work through RUclips. I am hoping for your success brother.

Awesome tutorial!!

Super helpful demo and very easy to follow! Question-will this type of data be available in-season? Like could I add 2023 to my season parameter after week 1 is complete or would I have to wait until season is over to get any 2023 data?

Great stuff! Thank you for sharing

Amazing! Thank you so much