1. How R is changing the sports betting world
Sports betting & R:
How R is changing the sports betting world
Marco Blume
UseR_2017

2. Who is
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3. The largest sportsbook you’ve never heard of
Unique model that relies heavily on data science
Integration with risk modelling
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4. Why are we at UseR_2017? Sports betting is a perfect R problem
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5. How do you think bookmakers work?
Recreational bettors
Betting both sides / Risk free
High margins
Easy money
Hyper-competitive bots, models & pros
High frequency trading algorithms
Low margins
Complex modelling & data science

6. What Differentiates Pinnacle?
Standard Business Model
Ban (or limit) winning customers
Only accept recreational bettors
Marketing (and brand) focus
High cost of placing bet
Pinnacle Business Model
Accepts professionals
We lose to pros “Paying for” proprietary info
Machine Learning, Data Science
The lowest margins (circa. 1.5%)

7. Where R fits in our trading model

8. Problem Solving – The example of live betting

9. US Elections 2016 Betting Market

10. US Elections 2016 Betting Market – Election Night

11. Sharing our love of R with our customers
Pinnacle.API (CRAN)
Get real-time odds from Pinnacle into data frame
Place real wagers
Few lines of code
Odds.Converter (CRAN)
Convert between different odds types and probabilities
American odds, Decimal, Malay, Hong Kong, Indonesian, Probability

12. Introducing
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13. Introducing Pinnacle.Data
Historical odds from MLB & US Elections (2016)
Complimentary with other baseball datasets e.g Lahman & Baseball-reference
Fun dataset to use for examples / learning
More data to come
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14. We’re excited to see what the community comes up with
Pinnacle.Data –
What can you discover?
Find new relationships between key events & the odds
Build your own profitable betting model
We’re excited to see what the community comes up with
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15. Contact us