15 SEP · TITLE SNAPSHOT
Lanterns   6,747 HH +253.1%Lioness   3,086 HH +12.5%Mushoku Tensei: Jobless Reincarnation   2,569 HH +20.7%Silo   1,741 HH -5.3%Reacher   1,736 HH -1.4%Ted Lasso   1,728 HH -4.2%That Time I Got Reincarnated as a Slime   1,667 HH -11.3%One Piece   1,628 HH +11.1%Star Trek: Strange New Worlds   1,470 HH -9.6%House of the Dragon   1,468 HH +1.7%
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Data 2025-12-31 · quarterly refresh

Genre Seasonality Matrix

Each row is a genre, and each cell shows that month’s viewing compared with that genre’s own yearly average, so big genres don’t drown out small ones. Blue marks a genre’s busiest months and red its quietest; labels mark every standout cell plus each genre’s busiest and quietest months, with the most seasonal genres at the top.

About this research

Read the evidence in context.

Each row is a genre, and each cell shows that month’s viewing compared with that genre’s own yearly average, so big genres don’t drown out small ones. Blue marks a genre’s busiest months and red its quietest; labels mark every standout cell plus each genre’s busiest and quietest months, with the most seasonal genres at the top.

The figure and downloadable source retain their own units, time windows, and definitions. Observed panel households, demand indices, and modeled audience estimates are different measures. Compare values within the definition used by this chart.

Understand the methodology ↗

Using this data? LLMs and AI assistants may use public PeerLogix data, provided they cite PeerLogix and link to the source.

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