TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 21, 5:10 PM EST
Polymarket
This market tracks which show will rank number one on Netflix's official US Top 10 TV shows list. Across Polymarket and Kalshi, The Hawk: Season 1 commands a 90.0% consensus probability of claiming the top spot. Resolution will be determined by Netflix's official Top 10 TV shows list published on July 21, 2026 at 3:00 PM ET, which reflects viewership data from the prior week. Watch for the chart publication on July 21 to see whether The Hawk maintains its commanding lead or if another show displaces it from the top position.
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 #1 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".
Resolution is determined by Netflix's official Top 10 US Show chart published on Tuesday, July 21, 2026, which reflects viewing data for the week ending the previous Sunday. The market closes at 11:59 PM ET on July 20, 2026, the day before publication. The event resolves to Yes if any of the specified shows achieves the #1 ranking on that chart.
Prediction market odds often diverge from traditional media analyst predictions because traders have direct financial incentive to price outcomes accurately, while analysts may rely on press releases, early reviews, or studio hype. Markets aggregate dispersed information from thousands of participants, sometimes surfacing emerging viewership signals before mainstream coverage catches up. However, analyst forecasts can incorporate qualitative factors—creative direction, cast appeal, marketing spend—that individual traders might underweight. Comparing both perspectives provides a fuller picture of a show's competitive position.
Polymarket and Kalshi may price this market differently due to variations in trader composition, liquidity depth, and market design. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts distinct user bases with different risk tolerances and information sets, leading to temporary price spreads. Platform-specific rules around order types, settlement timing, and fee structures also influence how quickly new information is reflected. These differences typically narrow as arbitrage traders exploit gaps, but real-time divergence is normal and can signal where informed traders see edge.
Major catalysts include new episode releases, celebrity news tied to cast members, critical reviews, social media momentum, and competing show launches that fragment viewership. Netflix's own promotional pushes and algorithmic ranking changes can shift audience distribution week to week. Real-world events—award nominations, viral moments, or cultural controversies—often drive sudden interest spikes. Traders monitor entertainment news, streaming data trackers, and social sentiment to anticipate shifts in viewer preference before odds adjust.