TN-09 Democratic Primary Winner

According to the latest prediction market data for the query “TN-09 Democratic Primary Winner”, traders have formed a strong consensus.

Currently, Justin Pearson is dominating the market with an overwhelming 89% chance of winning. DeVante Hill follows in second place at 10.5%, while Steve Cohen sits in third with 2.1%. The betting volume for this specific market has already reached $19.8K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Justin Pearson (89%): Currently commanding the highest probability, Justin Pearson is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 89¢, signaling a high degree of market conviction. This contract alone has generated $9.7K in volume.

🥈 Tier 2: The Primary Challengers

• DeVante Hill (10.5%): Positioned as the most viable alternative, DeVante Hill maintains a 10.5% chance of resolving true. Its “Buy Yes” shares currently trade at 10¢.
• Steve Cohen (2.1%): Sitting in third place with a 2.1% probability, the market shows measured skepticism toward Steve Cohen, treating it as an outside wildcard unless momentum shifts.

This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the TN-09 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on August 6, 2026.

If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other".

The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/.

Any replacement of the nominee before election day will not change the resolution of the market.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Justin Pearson currently trades at 89%, but our AI places its Fair Value at just 61.2%. This creates a large negative EV Gap of -27.8%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Steve Cohen as the premium value opportunity on the board. While the market only assigns it a 2.1% trading probability, our AI’s Fair Value assessment sits at 9.7% — yielding an impressive +7.6% EV Gap.