My dorm roommate keeps bragging about his profitable betting systems using linear regression, but is there any real proof these work for NBA games
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The searches the AI actually ran for this prompt.
SEED QUERY
My dorm roommate keeps bragging about his profitable betting systems using linear regression, but is there any real proof these work for NBA games
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
academic research NBA betting market efficiency point spread predictability regression sports betting profitability out of sample Google ↗
NBA point spread betting market efficiency academic study closing line efficiency Google ↗
- Learning, price formation and the early season bias in the NBA · sciencedirect.com
- “NBA Gambling Inefficiencies: A Second Look,” (with Sigler, K.) · scholars.uncw.edu
- Preseason bias in the NFL and NBA betting markets · ircommons.uwf.edu
- Predicting United States National Basketball Game Spreads Using Machine Learning Techniques by Dulani Jayasuriya, Jizhi Jacky Liu, Kevin E. Dow :: SSRN · papers.ssrn.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
academic research NBA betting market efficiency point spread predictability regression sports betting profitability out of sample OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
NBA point spread betting market efficiency academic study closing line efficiency OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |