Reading the Data

The Data Table

Below the scatter chart, you'll find a detailed table with all players in your filtered dataset.

Columns

Table Features

• Sortable - Click column headers to sort (implementation may vary)
• Row count - Displays at the top: "X rows"
• Full dataset - Shows all players, including those filtered from the chart

Understanding Table vs Chart

Why Some Players Appear in the Table but Not the Chart

Players need both valid metrics to appear on the scatter plot:

• weighted_win_rate must be a valid number (0-1)
• opponent_strength must be a valid number

If either is missing or invalid, the player appears in the table but not on the chart.

Hidden Data Notes

Below the chart and table, you'll see informational messages:

"X row(s) skipped (missing win rate or opponent strength)"

What it means: Players with incomplete data.

Why it happens:

• Too few games to calculate reliable metrics
• Data collection errors
• Player competed but didn't face opponents with calculated strength

What to do: These players are typically new or inactive - usually safe to ignore.

"X outlier(s) hidden"

What it means: Players removed by the "Hide outliers" filter.

Example: "2 outlier(s) hidden"

What to do:

• Toggle "Hide outliers" off to see them
• Check if high performers are being excluded
• Re-enable to focus on the main cluster

Analyzing Results

Quick Insights

High-Performers (Top-Right)

Players in the top-right quadrant are your regional elite:

• High win rate
• High opponent strength
• Likely PR'd or should be

Rising Stars (Top-Left)

Players with high win rates but moderate opponent strength:

• Dominating current bracket level
• Ready to level up
• Watch for improvement when they face tougher competition

Challengers (Bottom-Right)

Players with lower win rates but high opponent strength:

• Competing above their current level
• Gaining valuable experience
• May show rapid improvement over time

Developing Players (Bottom-Left)

Players with both low metrics:

• New to competitive play
• Building fundamentals
• Normal starting position

Using the Data

For Power Rankings

1. Apply state-level filters with 3-month timeframe
2. Look at top-right quadrant
3. Compare players with similar opponent strength
4. Higher win rate = better ranking (all else equal)

For Tournament Seeding

1. Filter by tournament series
2. Use 1-2 month timeframe for recency
3. Sort by win rate
4. Consider opponent strength as tiebreaker

For Personal Improvement

1. Find yourself in the data
2. Note your opponent strength
3. Look at players with slightly higher strength
4. Aim to reach their win rate before moving up

Exporting Data

Currently, there's no built-in export feature. To save data:

1. Screenshot the chart for quick reference
2. Copy table rows manually if needed
3. Take notes on key players and metrics

(Feature request: CSV export would be useful here)

Data Freshness

How Recent Is the Data?

• Data is precomputed from the backend
• Timeframe filter controls which events are included
• Typically updated: (frequency depends on backend implementation)

If Data Seems Outdated

• Check that your timeframe is appropriate
• Verify the state code is correct
• Try a different timeframe to confirm

Comparing Across Queries

To compare different filters:

1. Take screenshots of each configuration
2. Note the row counts - different filters return different player sets
3. Compare key players - see how they perform in different contexts

Example: How does Player X perform at weeklies vs majors?

• First query: Tournament view, weekly series
• Second query: Min Largest Event: 128
• Compare their positions

Common Patterns

Cluster in Bottom-Left

What it means: Lots of developing players or small local scene.

Action:

• Increase Min Entrants to focus on established players
• Look for outliers showing growth

Diagonal Line from Bottom-Left to Top-Right

What it means: Healthy competitive distribution - players get better as they face tougher competition.

Action: This is ideal! Shows a functioning competitive ecosystem.

Gap in the Middle

What it means: Missing intermediate players - scene may be polarized between beginners and veterans.

Action:

• Identify ways to help developing players improve
• May indicate need for intermediate-level events

Dense Cluster in Top-Right

What it means: Many elite players in the region.

Action:

• Use advanced filters to differentiate within this cluster
• Consider character filters or tournament-specific views

Next Steps

• Apply practical strategies: Tips & Best Practices
• Solve common problems: Troubleshooting