Bracket Voodoo

Optimized March Madness Brackets

1 follower

Optimized March Madness Brackets

1 follower

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Launch tags:Tech•College Sports

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Meaty Pizza Maker- Cooking Game

Hunter

@gmisra @bradnull Again, great work guys! Common question: Are the brackets unique for every user? If unique, how do you differentiate between optimal (say return on money bet) vs popular? Are they different?

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11yr ago

Great question. The set of "good brackets" isn't that big, so we can't guarantee uniqueness, but we do a couple of things to tweak your bracket to give you a unique chance of winning. But if everybody in your pool uses the site, you'll probably end up with a lot of overlap (which hurts our word-of-mouth reach, if any user acquisition experts have any tips for that problem).

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11yr ago

what if I don't care about actually winning and just want to beat one person in my pool for bragging rights for the rest of the year? Can bracketvoodoo help me? Assuming I'm the commissioner and can see their bracket of course

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11yr ago

Your best bet is to convince your adversary to use one of the inferior bracket pickers, like fivethirtyeight or predictionmachine, while you enjoy the power of the BracketVoodoo optimization engine.

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11yr ago

LOL, you should probably ask Johnny Dawkins about that. For the daily fantasy CBB players out there, we share your pain in watching Randle and Nastic go from strong plays to weak plays so quickly...

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11yr ago

Meaty Pizza Maker- Cooking Game

Hunter

Automatically optimized March Madness brackets by Bracket Voodoo makes betting in your office pool easy. Developed by 2 Stanford data science graduates, I used them in 2014 to make 2 optimized pools, (1 of which won), in less than a couple minutes. They're revamped for 2015, and if @gmisra can confirm he's the maker, he can shed some light on their service. Amazingly sharp team (Metamarkets) and a very focused product perfect for March Madness :)

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11yr ago

Probably the most important technique we use is: good data hygiene! Through our experiments, we have found that black-box modeling techniques quickly plateau in terms of their quality. Instead, we model specific attributes of player, team, and game behavior, and then run millions of simulations to generate game outcomes. Once we have the game outcomes, we use mostly standard off-the-shelp optimization techniques (and some non-standard ones as well, but we're not ready to talk about those).

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11yr ago

Meaty Pizza Maker- Cooking Game

Hunter

@gmisra @bradnull 1 more question: What techniques from data science are you applying to sports?

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11yr ago

Meaty Pizza Maker- Cooking Game

Hunter

I hate to ask, but what about NIT? 😭#stanfordbball 😔

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11yr ago

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