Real ChatGPT answer · index seedUFnuTJJ7eGccompleteSports and outdoors · sports bettinginformational
How do live in-game odds shift so quickly and what triggers the sportsbook algorithms to update the numbers?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do live in-game odds shift so quickly and what triggers the sportsbook algorithms to update the numbers?
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
how sportsbooks calculate live in-play betting odds real-time data feeds trading algorithms market suspension probability models Google ↗
in-play sports betting odds academic research real-time pricing risk management sportsbook algorithms Google ↗
- In-play or in-running betting · livegcweb.azurewebsites.net
- How Live In-Play Odds Are Engineered: Feeds, Latency, Delays · geekchamp.com
- Inefficient Forecasts at the Sportsbook: An Analysis of Real-Time Betting Line Movement · pubsonline.informs.org
- Optimal pricing in the online betting market · sciencedirect.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
how sportsbooks calculate live in-play betting odds real-time data feeds trading algorithms market suspension probability models OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
in-play sports betting odds academic research real-time pricing risk management sportsbook algorithms OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |