What will be the #2 US Netflix show this week?

According to the latest prediction market data for the query “What will be the #2 US Netflix show this week?”, traders have formed a strong consensus.

Currently, Little House on the Prairie: Season 1 is dominating the market with an overwhelming 89.4% chance of winning. Worst Neighbor Ever: Season 1 follows in second place at 10.5%, while I Will Find You: Limited Series sits in third with 2.1%. The betting volume for this specific market has already reached $48.7K, 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

• Little House on the Prairie: Season 1 (89.4%): Currently commanding the highest probability, Little House on the Prairie: Season 1 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 $17.1K in volume.

🥈 Tier 2: The Primary Challengers

• Worst Neighbor Ever: Season 1 (10.5%): Positioned as the most viable alternative, Worst Neighbor Ever: Season 1 maintains a 10.5% chance of resolving true. Its “Buy Yes” shares currently trade at 10¢.
• I Will Find You: Limited Series (2.1%): Sitting in third place with a 2.1% probability, the market shows measured skepticism toward I Will Find You: Limited Series, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~0%)

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 The Hawk: Season 1 (1.3%), Quarterback: Season 3 (0.1%), and The Ultimatum: Marry or Move On: Season 4 (0.1%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Dark Winds: Season 4 are still attracting notable interest.

Netflix is expected to update its Top 10 TV shows list on top10.netflix.com on Tuesday, July 21, 2026, 3:00 PM ET, reflecting viewership from the previous week (Monday to Sunday).

This market will resolve based on which show this update ranks as the #2 US Netflix show.

The ranking is based on total views in the United States, as reported by Netflix for TV shows.

If the top10.netflix.com update does not occur by July 24, 2026, 11:59 PM ET, this market will resolve to "Other".

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 Little House on the Prairie: Season 1 currently trades at 89.4%, but our AI places its Fair Value at just 67.2%. This creates a large negative EV Gap of -22.3%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Quarterback: Season 3 as the premium value opportunity on the board. While the market only assigns it a 0.1% trading probability, our AI’s Fair Value assessment sits at 23.6% — yielding an impressive +23.5% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include The Ultimatum: Marry or Move On: Season 4 (EV Gap: +20.2%) and Dark Winds: Season 4 (EV Gap: +20.2%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.