你好,星期六
你好,星期六

你好,星期六

20220 Seasons0 Episodes6.4
Reality
Trending stats for:
TV ANALYTICS

你好,星期六 (2022)

Trending analytics for United States

Executive Summary

AI-generated performance analysis

D

Poor

This TV series achieves a D (Poor) trending performance rating, on trending charts.

"你好,星期六" (2022) demonstrates emerging visibility on TMDB trending charts.

Key Highlights
  • 6.4/10 rating

Trending Performance Factors

Key metrics driving this TV show's trending success

13.9/40
Overall Score

Trending Performance

0.5/10

Peak position on trending charts

  • No trending data available

Chart Longevity

2/10

Duration on trending charts

  • 0% of average trending run
  • 0 total days trending

Audience Score

6.4/10

TMDB user rating

  • TMDB Rating: 6.4/10
  • 10 votes
  • Mixed audience reception

Current Momentum

5/10

Recent trending movement

  • Stable trending position
  • Consistent audience interest
Overall Performance35%

Limited performance signals. Metrics may need improvement.

Category Benchmark

Performance compared to other trending TV shows

Top 65%
Audience Rating
Top 65%
6.4/10actualvs 7.0/10 avg

9% below avg

Performance is below the trending TV shows average. There may be room for improvement.

TV Show Info

TV Shows Reference

Source content being analyzed

Open
你好,星期六

你好,星期六

Jan 1, 2022
Overview

《你好,星期六》是湖南卫视重点打造的周六黄金档棚内周播趣味艺能综艺秀。节目以全新打造的好六街街区为背景,将平凡生活的烟火气搬进演播厅,展现市井生活人间百态。深度挖掘好6团和飞行嘉宾们的艺能的同时,对当下最具热点的社会话题以及正能量价值观导向进行引导和输出,重新定义了以艺服人、以能动人的综艺准入门槛。

About This Analytics Report

Official Data

This report is generated by Top1Trend's analytics engine, which tracks TMDB trending data across 20+ regions since 2024. All metrics are derived from movie & tv trending data via the official TMDB API.

Data Source
TMDB API
Last Updated

Recently

Tracking Since

2024

Region

US

Official API DataReal-time UpdatesHistorical Archives

Top1Trend is an independent analytics service and is not affiliated with, endorsed by, or sponsored by TMDB. All trademarks belong to their respective owners. Data accuracy depends on platform API availability and may have slight delays from real-time values.