Wolf
@wolfyoutube_official
Gaming1.5K
Video Count305.3M
Video View444.0K
Subscriber#2,465
South Korea Rank#80,857
Global RankLoading channel statistics
General and Gaming ranking performance
General
Global
South Korea
Gaming
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
T1 vs TLAW│2026 MSI│Play-INS day4│울챔스 하이라이트
229.2K
Views
2K
Likes
134
Comments
Opportunity for growth
쌈싸먹기
2.7K
Views
19
Likes
3
Comments
Analysis of 38 long-form videos
T1 vs TLAW│2026 MSI│Play-INS day4│울챔스 하이라이트
• Long videos make up 76% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Video Game Culture dominates with 44% of content
Strategy Video Game has highest avg views
Strategy Video Game shows strongest growth
Most used tags across 750 tag instances
14 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #t1Top 1 | 100 | 31.7K | 1.15% | -1% | 12/100 |
| #supTop 2 | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #서포터Top 3 | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #support | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #wolf | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #울프 | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #lol | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #리그오브레전드 | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #league | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #of | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #legend | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #world | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #champion | 50 | 31.7K | 1.15% | -1% | 12/100 |
| #이재완 | 50 | 31.7K | 1.15% | -1% | 12/100 |
Strategic recommendations and performance highlights
Top 5 by view count
Top 5 by like count
Top 5 by comment count
Top 5 by engagement rate
Peak performance metrics across all categories
Top performers across multiple categories
Performance analysis and recommendations