体育之光

体育之光

@tiyuzg
UC-IVKy_zbqvoivhVfjAk9CA Created on YouTube: 04.03.2020 Chinese Lifestyle Open on YouTube
First seen in analytics: 09.04.2026
Subscribers
33 400
+300 / 30d
Views
34 620 336
+582 910 / 30d
Videos
2 086
+47 / 30d
Global Rank
#4,688
Language Rank
#226
Chinese
Topic Rank
#1,502
Lifestyle
Est. Monthly Earnings
$874 – $2,623
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-06-21 33 100 — 34 037 426 — 2 039 —
2026-06-26 33 200 +100 34 158 324 +120 898 2 045 +6
2026-06-27 33 200 0 34 189 688 +31 364 2 050 +5
2026-06-30 33 200 0 34 295 442 +105 754 2 053 +3
2026-07-01 33 200 0 34 305 194 +9 752 2 054 +1
2026-07-03 33 300 +100 34 343 338 +38 144 2 056 +2
2026-07-04 33 300 0 34 360 181 +16 843 2 056 0
2026-07-06 33 300 0 34 397 168 +36 987 2 059 +3
2026-07-07 33 300 0 34 403 245 +6 077 2 060 +1
2026-07-08 33 300 0 34 421 107 +17 862 2 060 0
2026-07-09 33 300 0 34 433 370 +12 263 2 063 +3
2026-07-10 33 300 0 34 446 486 +13 116 2 065 +2
2026-07-11 33 300 0 34 480 634 +34 148 2 066 +1
2026-07-17 33 300 0 34 598 009 +117 375 2 070 +4
2026-07-18 33 300 0 34 616 064 +18 055 2 071 +1
2026-07-24 33 400 +100 34 693 900 +77 836 2 080 +9
2026-07-25 33 400 0 34 709 333 +15 433 2 080 0
2026-07-26 33 400 0 34 713 767 +4 434 2 080 0
2026-07-27 33 400 0 34 716 313 +2 546 2 080 0
2026-07-28 33 400 0 34 729 581 +13 268 2 082 +2
2026-07-29 33 400 0 34 737 477 +7 896 2 083 +1
2026-07-31 33 400 0 34 760 031 +22 554 2 086 +3
2026-08-02 33 400 0 34 773 040 +13 009 2 080 -6
2026-08-03 33 400 0 34 773 040 0 2 080 0
2026-08-04 33 400 0 34 539 189 -233 851 2 081 +1
2026-08-06 33 400 0 34 555 635 +16 446 2 082 +1
2026-08-08 33 400 0 34 575 195 +19 560 2 084 +2
2026-08-09 33 400 0 34 589 567 +14 372 2 085 +1
2026-08-10 33 400 0 34 605 811 +16 244 2 086 +1
2026-08-11 latest 33 400 0 34 620 336 +14 525 2 086 0
Daily Average 3 4 507 1
Weekly Average 0 -54 623 2
Last 14 days 0 -109 245 4
Last 30 days 100 139 702 20

Charts and Forecast for the Channel 体育之光

About the Channel Growth Forecast 体育之光: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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