| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| William Byron | 24% | 24¢ | 25¢ | — | $22K | Trade → |
| Justin Allgaier | 17% | 14¢ | 15¢ | — | $11K | Trade → |
| Chandler Smith | 2% | 1¢ | 2¢ | — | $7K | Trade → |
| Jesse Love | 15% | 14¢ | 15¢ | — | $7K | Trade → |
| Harrison Burton | 3% | 2¢ | 3¢ | — | $7K | Trade → |
| Taylor Gray | 12% | 11¢ | 12¢ | — | $7K | Trade → |
| Brent Crews | 7% | 6¢ | 7¢ | — | $7K | Trade → |
| Brandon Jones | 8% | 7¢ | 8¢ | — | $5K | Trade → |
| Austin Hill | 8% | 3¢ | 8¢ | — | $5K | Trade → |
| Austin J Hill | 1% | 0¢ | 1¢ | — | $4K | Trade → |
| Anthony Alfredo | 1% | 1¢ | 2¢ | — | $4K | Trade → |
| Rajah Caruth | 3% | 1¢ | 3¢ | — | $3K | Trade → |
| Sammy Smith | 5% | 4¢ | 5¢ | — | $3K | Trade → |
| Corey Day | 4% | 3¢ | 4¢ | — | $3K | Trade → |
| Carson Kvapil | 3% | 2¢ | 3¢ | — | $2K | Trade → |
| Sam Mayer | 4% | 3¢ | 4¢ | — | $2K | Trade → |
| Sheldon Creed | 3% | 2¢ | 3¢ | — | $2K | Trade → |
| Austin Green | 1% | 0¢ | 1¢ | — | $2K | Trade → |
| William Sawalich | 2% | 1¢ | 2¢ | — | $2K | Trade → |
| Jeb Burton | 2% | 0¢ | 2¢ | — | $2K | Trade → |
| Kyle Sieg | 1% | 0¢ | 1¢ | — | $2K | Trade → |
| Parker Retzlaff | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Blake Lothian | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Brennan Poole | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Nicholas Sanchez | 1% | 1¢ | 2¢ | — | $1K | Trade → |
| Blaine Perkins | 1% | 0¢ | 1¢ | — | $1K | Trade → |
| Daniel Dye | 1% | 0¢ | 1¢ | — | $282 | Trade → |
| Garrett Smithley | 1% | 0¢ | 1¢ | — | $246 | Trade → |
| Ryan Sieg | 1% | 0¢ | 1¢ | — | $241 | Trade → |
| Josh Bilicki | 1% | 0¢ | 1¢ | — | $187 | Trade → |
| Ryan Ellis | 1% | 0¢ | 1¢ | — | $102 | Trade → |
| Dean Thompson | 1% | 0¢ | 1¢ | — | $100 | Trade → |
| Josh Williams | 1% | 0¢ | 1¢ | — | $66 | Trade → |
| Jeremy Clements | 1% | 0¢ | 1¢ | — | $50 | Trade → |
| Mason Maggio | 1% | 0¢ | 1¢ | — | $33 | Trade → |
| Dawson Cram | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Lavar Scott | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Patrick Staropoli | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Joey Gase | 0% | 0¢ | 1¢ | — | $0 | Trade → |
| Nathan Byrd | 0% | 0¢ | 1¢ | — | $0 | Trade → |
This market resolves on which entrant wins the GOVX 200, a single race event whose outcome determines the winning participant listed among the 40 outcomes. It matters because it aggregates market expectations about the race winner and provides a way to trade on changing information before the race concludes.
The GOVX 200 is one race on the motorsports calendar that typically attracts a field of drivers and teams with varying experience at this track and in this series. Historical results, recent team form, and track-specific characteristics all shape competition, while lineup changes and late technical updates can materially alter the pre-race picture. The market reflects evolving information from practice, qualifying, and news cycles rather than a static prediction.
Market odds reflect the consensus of traders buying and selling exposure to each named winner; higher market interest implies more participants backing that outcome and greater liquidity. Use the market as a real-time signal of how new information shifts expectations, not as a fixed forecast.
The market close is set by the platform and may close before the race starts or remain open until the race is underway; check the market page for the official close time, which is listed as TBD until the operator updates it.
Each outcome corresponds to a specific entry (typically a named driver) who could be declared the official winner of the GOVX 200; only one outcome will resolve as the winner once official results are posted.
Volume indicates how much capital has changed hands and is a proxy for market interest and liquidity; higher volume generally makes it easier to enter or exit positions without large price moves, while lower volume can mean wider implied trading costs.
Qualifying results, practice speed differentials, reporting of injuries or lineup changes, penalties or technical bulletins, and major weather shifts frequently trigger rapid re-evaluation of contenders in this market.
Past performance at the same venue provides useful context—drivers and teams with strong historical results often have an advantage—but its predictive value depends on how similar the current field, car setup, and conditions are to prior events.