Wild Rift Champion Ranked Analytics

Wild Rift Premium Analytics: Historical Ranked Stats & Champion Comparison

This page is built for players who want more than a simple tier list. Here you can analyze Wild Rift ranked statistics over time and compare two champions side-by-side using interactive charts for Win Rate, Pick Rate, Ban Rate, Trend, and Tier History. All data is separated by role (Mid, Solo, Jungle, Duo, Support) and by rank brackets such as Diamond+, Master+, Challenger, and Legendary.

Unlike pages that only show a single “current” snapshot, this tool continuously records ranked statistics into our own database. That means you can review real performance changes between updates, detect meta shifts early, and verify whether a champion is improving, stabilizing, or falling off over time. This approach provides a true historical perspective instead of short-lived daily noise.

Extended 30-day analytics & volatility tracking (Premium)

For Premium users, analytics are extended beyond recent snapshots with access to up to 30 days of historical data. This long-term view allows you to evaluate champions across multiple patches, balance adjustments, and evolving metas rather than reacting to short-term fluctuations.

In addition to standard performance charts, Premium analytics introduce a dedicated Volatility chart. This graph visualizes how stable or unstable a champion’s performance is over time, helping you distinguish between consistent meta picks and high-risk champions with sharp swings in win rate, pick rate, or tier placement.

What makes this analytics unique

• Real historical storage – ranked snapshots are saved continuously, not overwritten.
• Two-champion comparison – compare Champion A and Champion B within the same timeframe.
• Role and rank controls – analyze what actually matters in your specific bracket.
• 30-day Premium view – review extended history across multiple updates.
• Volatility analysis – measure consistency and meta risk, not just raw power.
• Tier History timeline – track how tier placement evolves instead of guessing from one patch.

How to read the charts

Start with Win Rate to evaluate raw effectiveness in ranked matches. Then review Pick Rate and Ban Rate to understand priority and perceived threat. Trend highlights momentum, showing whether results are improving or declining between updates.

The Volatility chart adds an extra layer of insight by showing how stable these metrics are over time. Champions with low volatility tend to be safer and more reliable for consistent climbing, while high-volatility champions may offer strong spikes but require better timing and matchup awareness.

How our Tier History is calculated

To simplify complex ranked data, we convert raw statistics into a practical tier score for each champion, role, and rank bracket. This score is calculated using four core performance factors:

• Win Rate – the primary indicator of consistent success.
• Pick Rate – reflects reliability and presence across many games.
• Ban Rate – indicates perceived strength and priority.
• Trend – captures improvement or decline between updates.

Win Rate carries the highest weight, while Pick Rate, Ban Rate, and Trend provide contextual balance. The resulting score is mapped into tiers, allowing you to track not only which champions are strong, but when and why their power level changes.

How to use this page for ranked climbing

Use Tier History for a fast overview, then validate the reasons using individual metrics. A champion with stable win rate and low volatility is often a reliable blind pick, while rising volatility may signal a meta transition or balance adjustment.

Combining long-term trends with volatility helps you decide whether to commit to a champion, adapt your build, or temporarily avoid risky picks until the meta stabilizes.

Data source: Statistics are derived from publicly available official Wild Rift ranked services. Sample size and availability may vary by champion, role, and rank tier.