How to Use Our Meta Sheets
BaronSteal's meta sheets are designed to give you a quick snapshot of what’s actually performing in the current ranked meta - separated by rank, role, and champion performance trends.
If you’re newer to League analytics, don’t worry: the goal isn’t to drown you in stats. It’s to help you understand what’s strong, what’s overrated, and what might be flying under the radar.
Workbook Structure
Every workbook is broken out by rank because the meta changes depending on skill level.
A champion that dominates in Bronze may struggle in Diamond. A high-skill champion that underperforms in lower ranks may become incredibly strong once players can execute them properly. That means...
• Don’t assume low-ELO win rate = universally strong
• Always use the sheet that matches the games you actually play
This is your fastest snapshot of the rank’s overall meta.
It strips away extra clutter and focuses on the key signals:
Champion
The champion being measured.
Win Rate
How often that champion wins games in this data sample.
A higher win rate usually suggests stronger performance - but win rate alone doesn’t tell the whole story.
For example:
• Some win because only specialists play them
• Some have average win rate but are still dominant because of high presence
Games
The total number of games included in the sample.
This helps tell you whether a result is statistically meaningful.
Examples:
More games usually means the data is more stable.
Win Delta
This shows how a champion is performing relative to expectation.
Think of it like:
“Is this champion outperforming what the field says they should be doing?”
A champion with:
This helps catch hidden strengths or weaknesses that raw WR can miss.
These tabs go deeper into each role and add another layer of context.
Instead of just showing what wins, they help identify why a pick may matter.
PBI (Pick Ban Influence)
PBI measures how influential a champion is in the current meta.
- (WinRate) The champion's current win percentage.
- (AvgWinTier) The average win rate of all champions in that specific tier.
- (PickRate) The percentage of games in which the champion is picked.
- (BanRate) The percentage of games in which the champion is banned.
Rather than looking at win rate alone, PBI estimates how heavily a champion impacts ranked play overall.
In simple terms, it helps answer:
“How much does this champion shape the current meta?”
To make the sheet easier to scan, champions are grouped visually based on performance trends.
Green = Top Performers
These are the Top 5 champions by win rate in that sheet.
That does not automatically mean they are the best blind picks - but they are currently converting wins at the highest rate in this sample.
Use this as: potential priority picks to review, strong patch performers, and a quick “what’s winning” reference
Blue = Rising / Sneaky Strong
These are some of the most valuable picks in the workbook.
These champions usually combine: lower overall pick presence, positive Win Delta, and a strong win rate.
In other words: “This champion may be stronger than public perception suggests.”
These could be: patch winners people haven’t fully adapted to yet, underplayed strong champions, sleeper picks.
Red = Falling / Weak
These champions are currently showing warning signs.
Usually things like: performance below the field, negative Win Delta, and a poor win rate.
That doesn’t mean they’re “unplayable.”
It often means: the current patch may not favor them, they may be overpicked despite weak results, they may require specialist skill.
Meta data is a tool - not a substitute for champion mastery.
A statistically strong champion you can’t play is often worse than a comfort pick you execute well.
Use these sheets to:
- spot trends
- understand patch shifts
- identify hidden strength
- make smarter champion decisions
But always filter the data through your own skill, champion pool, and rank environment.
