KickTools Hype Train Power Ranking System

Overview

Let's walk through the KickTools Hype Train power ranking system that evaluates streamer performance using a weighted scoring approach. This system is designed to give us a comprehensive view of how our streamers are performing based on various important metrics. This is a weekly system that automatically updates every Sunday through Saturday, ensuring that we have the latest data to work with.

Components of the Scoring System

Total Points (Alpha)

• Weight: 0.15 (reduced weight)
• Description: This represents the total points a streamer has accumulated, serving as a direct indicator of performance.
• Importance: While it reflects overall success, it may not fully capture efficiency compared to other metrics.

Average Duration of Hype Trains (Beta)

• Weight: 0.10
• Description: This measures the average duration of each hype train.
• Importance: Longer hype trains suggest sustained viewer engagement.

Number of Hype Trains (Gamma)

• Weight: 0.15
• Description: This counts the total number of hype trains hosted by a streamer.
• Importance: A higher count shows the frequency of engaging events.

Average Unique Gifters (Delta)

• Weight: 0.10
• Description: This metric counts the average number of unique gifters per hype train.
• Importance: More unique gifters indicate diverse community support.

Average Unique Subscribers (Epsilon)

• Weight: 0.10
• Description: This tracks the average number of unique subscribers during hype trains.
• Importance: Similar to unique gifters, this reflects a streamer's ability to attract and retain subscribers.

Average Total Subscriptions (Zeta)

• Weight: 0.25 (higher weight)
• Description: This represents the average total subscriptions accumulated across hype trains.
• Importance: Total subscriptions are vital for a streamer’s revenue and support.

Max Hype Train Level (Eta)

• Weight: 0.25 (heavier weight)
• Description: This indicates the highest level reached during hype trains.
• Importance: Achieving higher levels showcases peak performance and significant viewer engagement.

Average Points per Hype Train (AvgPoints)

• Weight: Higher weight can be assigned here to reflect performance efficiency.
• Description: This metric evaluates how effectively streamers convert hype trains into points.
• Importance: It reflects a streamer’s ability to generate points efficiently.

Why Weighting Matters

• Reflecting Priorities: The assigned weights allow us to prioritize certain metrics based on their importance to our community.
• Balancing Different Aspects: Weighting helps ensure that no single metric dominates the overall score.
• Encouraging Desired Behavior: By placing greater emphasis on specific metrics, we can motivate streamers to enhance viewer engagement.

Adjusting the Weighting System

• Test and Learn: We’ll continuously gather feedback to adjust the weights if certain metrics don’t contribute meaningfully to the rankings.
• Context-Specific: Depending on our goals, we’ll tweak these weights over time.
• Sensitivity Analysis: We can run scenarios to see how changes in weights impact rankings.

Conclusion

In summary, our weighting system defines what "success" looks like within the KickTools Hype Train context. It allows us to adapt how we measure that success based on our priorities and community goals. The current weights reflect a blend of total performance and engagement, striking a balance between raw success and community interaction.

Thank you for being a part of the KickTools community! Remember, our rankings update automatically every Sunday through Saturday, so stay tuned for the latest standings as we continue to support each other and celebrate our successes on this journey together!