@BlueMonsoonGaming Competitors: 5 Similar YouTube Gaming Channels Compared

The shared turf here is small-channel gaming on YouTube, mostly outside the US/UK creator bubble. @BlueMonsoonGaming is a UK Battlefield-focused channel running a daily Shorts + weekly longform schedule, which is a pretty grindy posting cadence — 744 videos for 2,240 subs works out to roughly 3 subs per video lifetime, which honestly is a tough ratio and one of the more interesting things to flag up front. The competitor set Google is surfacing for this channel skews South/Southeast Asian, which tells you something about how the algorithm is currently bucketing small gaming creators: less by language or region, more by the general "sub-5K gaming" pool.

@Nicialo-i9s (2,510 subs, Indonesia, 215 videos) is the closest peer by raw sub count but a totally different operating model. They've hit a similar audience size in roughly a quarter of the video count — 215 vs 744. That's a much healthier subs-per-upload ratio, around 11.7 vs BlueMonsoon's 3.0. Their channel description is bilingual (Indonesian + English) which suggests they're hedging on language reach. If you're a creator scouting this space, Nicialo is interesting as a "less is more" case study against BlueMonsoon's volume play. Follow them if you want to see what a smaller-output gaming channel looks like at the same sub tier.

@DeepCantCode (1,140 subs, India, 72 videos) is the odd one in the set — they're not actually a gaming channel. The description is explicitly about tech rants, AI takes, and programming opinions ("98.9% Human made content" is a funny line). Why YouTube clusters them with BlueMonsoon is probably a thin signal: small channel, similar geo-clustering of viewers, possibly some shared audience in the "young male tech-curious" pocket. For BlueMonsoon themselves this is mostly noise, but worth noting if you're a viewer who watches gaming and also wants commentary content. Different lane entirely — wouldn't compete for the same upload slot.

@prabislive (1,770 subs, India, 1,800 videos) is the wildest data point in the set. 1,800 videos for 1,770 subs — that's almost exactly 1 sub per video lifetime. The tagline "Lets create next level of gaming" doesn't give much to work with, but the volume suggests a streamer who uploads VOD clips at high frequency. This is the cautionary tale of the group: posting a lot doesn't automatically grow a channel. If anything, prabislive shows what BlueMonsoon's current trajectory could look like if the upload-treadmill keeps going without a content angle that sticks. Worth watching as a benchmark, not as inspiration.

@saadzahid7115 (3,340 subs, Pakistan, 202 videos) is the biggest in this competitor set and probably the most relevant aspirational peer. Roughly 16.5 subs per video, more than 5x BlueMonsoon's ratio. Description is sparse ("More about this channel" — basically empty), which is interesting because their growth clearly isn't coming from heavy channel branding. Watching their thumbnail and title patterns would probably be the single most useful exercise for BlueMonsoon. Follow saad if you want to study what's actually working in the same general sub band, not just what looks similar on paper.

@h4x_Gojo_Fr (2,750 subs, Pakistan, 34 videos) is the extreme opposite of BlueMonsoon's strategy. 34 videos, 2,750 subs — that's 80+ subs per upload, by far the strongest ratio in the set. Their content is Roblox-focused with "performance gameplay" framing, which is a specific niche, not generalist Battlefield content. The takeaway here is that picking a hotter game (Roblox audience is enormous and skews young) can do more for sub growth than upload volume can. If you watch BlueMonsoon for the Battlefield content specifically, h4x_Gojo_Fr won't scratch that itch, but as a small-channel growth case study they're probably the most instructive one in this list.

If you watch @BlueMonsoonGaming, the closest content match for Battlefield/military gameplay isn't really in this set — none of these five are Battlefield channels. The best overlap by vibe is probably @Nicialo-i9s and @prabislive for general gaming. For aspirational study of channels that grew faster, @saadzahid7115 and @h4x_Gojo_Fr are the more useful ones. The honest read is that BlueMonsoon's algorithmic neighbors are defined more by size than subject right now, which is normal for a sub-5K channel and usually shifts once a clear content angle starts pulling consistent views.