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When I started the CBB DFS package last year, I had two goals in mind:

1. Provide value to subscribers with top tier content

2. Grow the game of CBB DFS by offering an easy way to research, and by fostering a friendly community

I think I succeeded on the first part (and possibly gave away too much value in terms of pricing the package), and while the second one was potentially a success, it fell short of my overall as I was not as active in Discord as I should have been.

I also listened to a lot of your feedback last year to improve what I can give you guys, and I am making a few changes to the package this year that will improve experience and equity for all subscribers and myself as well.

First, the main complaint I received was that while the long writeups are great, they are wordy and time-consuming to digest, which I completely understand (I feel a lot of the same when I write them). People have been wishing for a “cheat sheet” or tiered rankings for a while, and I think what I have in mind is going to be close to bridging the gap. I am looking to make the main rundown more of a model-based rundown. Now, the first two weeks of the season before the model is up and running and we have data, we are still going to go game by game – this is when we learn the most about the teams. But during the end of the season, you probably don’t need me to write a paragraph on why to not play players against Virginia. I am going to be focusing more on the value projections that the model spits out, how we can play good plays and avoid bad plays, and some matchup considerations that I know from watching the games that the model is not going to pick up. This should keep the writeups concise and give a good rundown of who to play in cash and GPP in a shorter fashion – saving both you and I time in the end.

The time saved on my end from writing isn’t going away – it’s going to be used in tweaking minutes and usage projections in the model that I was unable to get to last year because I was writing so much. This should give us better projections, and in turn, more profit.

Secondly, I am getting rid of the Saturday shows to focus more on the Discord chat. Whether it’s announcing injuries pre-lock or sweating out the games in there, I am going to make Discord a priority. I felt that a lot of times last year the show was inefficient in that I mainly talked about what I noted in the article and the feed was choppy at best. A lot of the edge comes from last minute swaps of players who are announced out and I will do my best to get that information out as quickly as possible, and if possible, run the new projected model numbers for updated minutes and post them in Discord.

Third, I am currently at work updating my model – I am working on a new defense vs position adjustment, and better ways to streamline minutes projections as well which in turn will increase profitability.

Fourth, we will be adding sports betting picks throughout the whole year. The picks in the NCAA tournament did well last year, and I believe I can find enough inefficiencies in the market to be +EV overall in that form as well.

Due to these four things and the fact that the package was a bit underpriced last year in its first year, the price is going up to $7.99/day, $69.99/month, and $299.99/season. Of course, just as last year, season subscribers will get the March package for free which will be running at a higher daily and monthly rate than the season long package. We deliberated for a long time regarding the pricing, but due to the niche nature of CBB, the quality of information provided, and the time that goes into this work, we believe this pricing is more than fair for the current year.

Looking forward to the start of the season and hope to see you in Discord!

Subscribe to RotoGrinders CBB Premium now!

About the Author

Varncass
Jon Schiller (Varncass)

Jon Schiller (aka Varncass) has been providing college sports content for the fantasy industry since 2012 and the sports betting industry since 2022. He’s an analytics junkie who uses any and all predictive stats and game theory to discover edges for the RotoGrinders and ScoresAndOdds community. Follow Jon on Twitter – @Bronzesword