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Collider Behind the Scenes

Collider Behind the Scenes

US
@colliderbehindthescenes
4.0K
Video Count
3.0B
Video View
6.7M
Subscriber
#1,321
United States Rank
#4,780
Global Rank
4.0K
Video Count
3.0B
Video View
6.7M
Subscriber
#1,321
United States Rank
#4,780
Global Rank
Collider Behind the Scenes YouTube channel subscribers:6,730,000- Seelive statisticsand growth insights below.
OverviewVideosOutliersStatisticsSimilar ChannelsTimelineRetention AnalyticsAbout

Collider Behind the Scenes YouTube Statistics & Analytics

Subscribers
6.7M
Total Views
3.0B
Videos
4.0K
Activity
Unknown

Collider Behind the Scenes Content Analysis

Content Type Distribution

Long videosLong
82%
323 videos
ShortsShorts
18%
73 videos

📽️ This channel specializes in long-form videos. Deep dives and comprehensive content perform well here.

Content Categories

Primary CategoryEntertainment
100%
Entertainment
396(100%)

🎯 Primary focus: Entertainment with 396 videos (100% of categorized content).

Collider Behind the Scenes AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Latest Video

Long video
Fallout Season 2: How the Script Protected THAT Big Reveal | Set Stories
11:18
New

Fallout Season 2: How the Script Protected THAT Big Reveal | Set Stories

430
Views
23
Likes
2 days ago
Published

Rafi Silver sits down with Collider to unpack one of Fallout’s most closely guarded secrets and what it was like playing a character fans thought they already understood. In this exclusive Fallout behind-the-scenes interview, Silver describes walking onto the Lucky 38 set and feeling as though he’d stepped directly into Fallout: New Vegas. From the casino floor to Robert House’s penthouse, the production recreated the game’s world in extraordinary detail, including full-scale securitrons and Victor built practically rather than added in post. Silver opens up about working with Justin Theroux, who plays the real Robert House, and sharing scenes with Walton Goggins as Cooper Howard. He explains how the layered performance — a man pretending to be Robert House — required deep research into the game’s lore, fan theories, and character history, much of it sourced from YouTube creators and longtime Fallout fans. The conversation also touches on unexpected production delays caused by California fires, the ensemble-like atmosphere that emerged from that experience, and why Episode 5 is the moment Silver has been waiting years for audiences to see. For fans of the games, he hints that this reveal may change how New Vegas is viewed — and replayed — going forward. 0:00 Introduction – Rafi Silver on joining Fallout 0:49 Walking into New Vegas & the Lucky 38 set 1:34 Practical robots, securitrons, and puppetry 2:22 Meeting Justin Theroux on set 3:29 “Dude playing a dude” explained 4:00 Production delays, fires, and ensemble spirit 5:23 Acting alongside Walton Goggins 6:24 Shooting the Lucky 38 exterior overnight 8:16 Keeping the Robert House secret 10:03 Episode 5 and fan reactions teased Our Social Media: https://www.facebook.com/collider/ www.x.com/Collider Our Website https://www.collider.com For copyright matters, please contact us at: [email protected] #fallout #rafisilver #collider

collider behind the scenes actors

Top 5 Videos

#1
Marty Supreme: How Timothée Chalamet Learned to Play for Real

Marty Supreme: How Timothée Chalamet Learned to Play for Real

20.7K
3 weeks ago
#2
K-Pop Demon Hunters Behind the Scenes: 10,000 Drawings Before Final Animation

K-Pop Demon Hunters Behind the Scenes: 10,000 Drawings Before Final Animation

17K
2 weeks ago
#3
Tinsel Town Chaos: Kiefer Sutherland On That Wild Fire Stunt Day 🔥🎬 #kiefersutherland

Tinsel Town Chaos: Kiefer Sutherland On That Wild Fire Stunt Day 🔥🎬 #kiefersutherland

4.6K
1 month ago
#4
Oh. What. Fun. — Inside the Cast’s Most Unexpected On-Set Moments 🎬✨ #ohwhatfun

Oh. What. Fun. — Inside the Cast’s Most Unexpected On-Set Moments 🎬✨ #ohwhatfun

3.6K
1 month ago
#5
Five Nights at Freddy’s 2 - Inside the Animatronics and Scream Reunion

Five Nights at Freddy’s 2 - Inside the Animatronics and Scream Reunion

3.4K
1 month ago

Collider Behind the Scenes AI Channel Analysis

Gemini ProScore: 7.2/10

AI-powered insights analyzing content strategy, audience engagement, and growth potential.

Overall Score
7.2
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

7.5/10

Good content foundation. Increasing upload frequency could boost growth.

Audience Engagement

7.2/10

Moderate engagement levels. Focus on community interaction could improve metrics.

Content Strategy

7/10

Developing content strategy. Consider focusing on specific niches for better targeting.

AI Recommendations

Auto-prioritized by predicted impact

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Frequently Asked Questions About Collider Behind the Scenes

Data Source & Accuracy

Source: YouTube Data API v3
Accuracy: Real-time statistics from official YouTube API
Data is updated hourly and sourced directly from official APIs to ensure accuracy and reliability.

Data from YouTube Data API v3 • Updated hourly • Last updated: 11:24 PM