America's Got Talent S21: Runner-Up

According to the latest prediction market data for the query “America's Got Talent S21: Runner-Up”, traders have formed a strong consensus.

Currently, Geno Ploeger is dominating the market with an overwhelming 44.5% chance of winning. Unitree follows in second place at 24%, while Hundred Fingers sits in third with 22%. The betting volume for this specific market has already reached $85.5K, 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

• Geno Ploeger (44.5%): Currently commanding the highest probability, Geno Ploeger is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 45¢, signaling a high degree of market conviction. This contract alone has generated $68.7K in volume.

🥈 Tier 2: The Primary Challengers

• Unitree (24%): Positioned as the most viable alternative, Unitree maintains a 24% chance of resolving true. Its “Buy Yes” shares currently trade at 24¢.
• Hundred Fingers (22%): Sitting in third place with a 22% probability, the market shows measured skepticism toward Hundred Fingers, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~9.5%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes Lai Noelle (7%), Come Here (6%), and Nene Royal (2.6%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like ACRO Crew are still attracting notable interest.

This market will resolve to the act who finishes as the runner-up of America’s Got Talent (AGT) Season 21.

Acts will be ranked primarily by their result in the Finals. If any two acts jointly receive the same result, ties will be broken by alphabetical order of the acts’ listed names. This market will resolve to the act that occupies the second-highest finishing position after applying this ranking.

If an act is disqualified or eliminated from competition in the Quarterfinals or Semifinals, this market will immediately resolve to “No”.

If AGT Season 21 concludes without a winning act being declared, or if AGT Season 21 has otherwise not concluded by December 31, 2026, 11:59PM ET this market will resolve to "Other".

The resolution source for this market will be footage from America’s Got Talent.

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 Geno Ploeger currently trades at 44.5%, but our AI places its Fair Value at just 23.6%. This creates a large negative EV Gap of -20.9%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies ACRO Crew as the premium value opportunity on the board. While the market only assigns it a 1.6% trading probability, our AI’s Fair Value assessment sits at 34% — yielding an impressive +32.4% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Veronika Goroshkova (EV Gap: +30.1%) and Royal Lasers (EV Gap: +27.4%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.