胖达游戏解说

胖达游戏解说

@pandagame666
UCiWCSN_LK3K9ZDCeMEzPhlg Created on YouTube: 01.11.2024 Chinese Gaming Open on YouTube
First seen in analytics: 09.04.2026
Subscribers
35 900
+1 400 / 30d
Views
16 699 608
+1 937 886 / 30d
Videos
421
+61 / 30d
Global Rank
#4,861
Language Rank
#235
Chinese
Topic Rank
#283
Gaming
Est. Monthly Earnings
$2,906 – $8,720
Based on 30-day views × topic CPM

Date

Date Subscribers ± Views ± Videos ±
2026-08-30 34 500 — 14 761 722 — 360 —
2026-09-01 34 600 +100 14 840 638 +78 916 361 +1
2026-09-02 34 600 0 14 864 335 +23 697 363 +2
2026-09-05 34 800 +200 14 937 824 +73 489 366 +3
2026-09-10 34 900 +100 15 150 916 +213 092 373 +7
2026-09-12 34 900 0 15 188 200 +37 284 376 +3
2026-09-13 34 900 0 15 217 952 +29 752 377 +1
2026-09-14 34 900 0 15 244 199 +26 247 377 0
2026-09-18 35 000 +100 15 316 521 +72 322 380 +3
2026-09-20 34 800 -200 15 381 518 +64 997 383 +3
2026-09-24 35 100 +300 15 509 826 +128 308 388 +5
2026-09-29 35 300 +200 15 732 690 +222 864 392 +4
2026-09-30 35 300 0 15 749 677 +16 987 393 +1
2026-10-01 35 300 0 15 768 145 +18 468 393 0
2026-10-03 35 300 0 15 813 334 +45 189 394 +1
2026-10-04 35 400 +100 15 845 294 +31 960 395 +1
2026-10-07 35 400 0 15 916 245 +70 951 397 +2
2026-10-09 35 400 0 15 951 928 +35 683 398 +1
2026-10-14 35 500 +100 16 128 028 +176 100 404 +6
2026-10-15 35 600 +100 16 147 760 +19 732 405 +1
2026-10-17 35 600 0 16 178 113 +30 353 407 +2
2026-10-20 35 600 0 16 252 123 +74 010 409 +2
2026-10-21 35 600 0 16 256 489 +4 366 411 +2
2026-10-23 35 700 +100 16 320 584 +64 095 412 +1
2026-10-25 35 700 0 16 389 503 +68 919 413 +1
2026-10-27 35 700 0 16 471 346 +81 843 414 +1
2026-10-29 35 700 0 16 502 439 +31 093 416 +2
2026-11-01 35 800 +100 16 558 206 +55 767 418 +2
2026-11-04 35 800 0 16 608 637 +50 431 419 +1
2026-11-09 latest 35 900 +100 16 699 608 +90 971 421 +2
Daily Average 16 24 119 1
Weekly Average 93 144 716 4
Last 14 days 200 310 105 8
Last 30 days 500 747 680 23

Charts and Forecast for the Channel 胖达游戏解说

About the Channel Growth Forecast 胖达游戏解说: The forecast is based on linear regression of historical data and is intended for reference purposes only.

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