ROFEL GAMING

The @rofelgaming account demonstrates significant scale with 271,400 followers and 8.4 million total likes, indicating a substantial and engaged audience. The average video view count of 920,154 highlights broad reach, while the 1.40% engagement rate underscores consistent viewer interaction across its 701 video library.

@rofelgaming's engagement metrics indicate a strong performance in likes but moderate interaction in comments and shares. The account's average likes per video (12,657) are significantly higher than the average comments (75) and shares (115), suggesting a preference for passive engagement over direct interaction. This imbalance may reflect content that prioritizes entertainment or visual appeal, which drives likes but less discussion. The overall engagement rate of 1.40% is relatively low for a creator with 271,400 followers, indicating that while individual videos generate substantial likes, the cumulative engagement across all content falls below the typical benchmark for this follower count. Audience interaction patterns reveal a clear hierarchy: likes dominate, followed by shares, with comments being the least frequent. This could imply that the audience values content that is easy to consume (e.g., tutorials, gameplay) rather than requiring deeper participation. The low comment count (75 per video) may also suggest that the content is less open to dialogue or that the audience is less incentivized to engage beyond liking. However, the high share rate (115 per video) indicates some level of content virality, though it remains below the likes-to-shares ratio seen in highly interactive niches. The metrics collectively suggest that @rofelgaming’s content resonates strongly with viewers in terms of visual or emotional appeal, driving likes. However, the low overall engagement rate highlights a potential gap in fostering community interaction. To improve resonance, the creator could experiment with prompts encouraging comments or collaborations to boost participation beyond likes. The disparity between likes and shares also warrants analysis to determine if content quality or platform algorithms are influencing engagement dynamics.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@rofelgaming’s content strategy is heavily centered around **PUBG Mobile**, as evidenced by the dominance of hashtags like #pubgmobile (35 uses) and #PUBGMOBILE (35 uses). These hashtags, which vary only in capitalization, suggest a deliberate effort to maximize visibility across case-sensitive search algorithms while reinforcing brand recognition. The account also emphasizes regional and promotional themes through hashtags such as #pubgmobilebangladesh (30 uses) and #pubgmbd (30 uses), indicating a focus on localized engagement and potential partnerships, such as the #pubgmobilenextstarprogram (30 uses), which aligns with the game’s competitive player development initiatives. Thematic consistency is maintained through repeated emphasis on gameplay, tournaments, and community-building, though the absence of primary content categories limits deeper insights into video types or formats. The strategic use of hashtags reflects a prioritization of **audience targeting** and **brand alignment**. The high frequency of #pubgmobile and its variants (combined 70 uses) underscores a core identity tied to the game, while lower-usage tags like #pubgmxthekingoffighters (5 uses) and #pubgmbd (30 uses) suggest niche or event-specific content. This approach likely aims to balance broad reach with localized engagement, though the lack of category data prevents quantifying how video content aligns with these hashtags. The repetition of similar tags may also indicate an attempt to optimize discoverability, though the absence of metrics on video views or engagement limits assessment of effectiveness.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio