Advanced Filtering

Filter State(s)

What it does: Overrides the main state filter with a custom comma-separated list of states.

Format: GA, FL, AL (comma-separated state codes)

Use case: Analyze a multi-state region or compare players across state boundaries.

Example

Filter States: GA, TN, AL, FL

Result: Shows players from Georgia, Tennessee, Alabama, and Florida combined.

Why use this?

• Southeast regional analysis
• Cross-border scenes (e.g., NYC area includes NJ, CT)
• Comparing related regions

Character Filters

What it does: Shows only players who main specific characters.

Format: Falco, Sheik, Fox (comma-separated character names)

How It Works

• Matches against player's registered main character
• For weighted calculations, uses the first character listed
• Case-insensitive matching

Examples

Filter: MarthResult: Only Marth mains

Filter: Fox, FalcoResult: Spacie players (Fox or Falco)

Filter: Sheik, Marth, FoxResult: Top-tier character analysis

Use Cases

• Compare character meta in your region
• Find mirror match opponents
• Analyze character representation
• Study character-specific bracket performance

Min/Max Entrants (average)

Controls which players appear based on the average size of brackets they attend.

Min Entrants

What it does: Keeps players whose average event had at least this many entrants.

Format: Number (e.g., 32, 64)

Example: Min: 32 = Only players who average 32+ person brackets

Use cases:

• Focus on established locals/regionals
• Filter out players who only attend small friendlies
• Find players who compete at a certain bracket tier

Max Entrants

What it does: Keeps players whose average event had at most this many entrants.

Format: Number (e.g., 64, 128)

Example: Max: 64 = Only players who average ≤64 person brackets

Use cases:

• Exclude players who primarily attend majors
• Focus on local/regional grinders
• Analyze mid-tier bracket performers

Combining Min and Max

Example: Min: 16, Max: 48

Result: Players who compete in mid-sized brackets (16-48 entrants on average)

Why? Target a specific bracket tier without including smaller locals or large majors.

Min Largest Event Entrants

What it does: Requires players to have attended at least one event with this minimum entrant count.

Format: Number (e.g., 64, 128)

Example: Setting 64 = "Show only players who've competed in at least one 64+ person bracket"

Use Case

Find players with major tournament experience, regardless of whether they attend majors regularly.

Difference from Min Entrants:

• Min Entrants: Average across all events
• Min Largest Event: Just the biggest single event

Example:

• Player attends: 16, 32, 32, 128 entrant events
• Average: 52 entrants
• Largest: 128 entrants

With Min Entrants: 60, they're excluded. With Min Largest Event: 100, they're included.

Large Event Threshold

What it does: Defines what counts as a "large event" for the share calculation below.

Format: Number (default: 32)

Example: Set to 48 if you consider only 48+ brackets to be "large" in your region.

Regional Context

What counts as "large" varies:

• NYC: 32+ might be a typical weekly
• Rural area: 16+ could be a major local
• Major: 128+ is the standard

Adjust this to match your regional context.

Min Large Event Share

What it does: Requires a minimum fraction of a player's events to meet the "large event" threshold.

Format: Decimal between 0 and 1 (e.g., 0.33 = 33%, 0.5 = 50%)

How It Works

1. System counts how many of a player's events meet the "Large Event Threshold"
2. Calculates: (large events) / (total events)
3. Keeps players where this ratio ≥ Min Large Event Share

Example

Settings:

• Large Event Threshold: 32
• Min Large Event Share: 0.5

Player's Events:

• Attended: 8 events total
• Large events (32+): 5 events
• Share: 5/8 = 0.625 (62.5%)

Result: Player is included (62.5% ≥ 50%)

Use Case

Find players who consistently compete at higher-level events, not just locals.

Example Use:

• Threshold: 40
• Share: 0.6
• Result: Players where 60%+ of their events had 40+ entrants

Start After

What it does: Excludes players whose most recent event started on or after this date.

Format: Date picker (MM/DD/YYYY)

Example: Setting 01/01/2024 excludes players who haven't competed since January 1st, 2024.

Use Cases

Filter out inactive players:

• Set to 1-2 months ago
• Removes players who've retired or taken a break

Analyze a specific historical window:

• Set both timeframe and start date
• Example: "3 months of data, ending in March 2024"

Combining Advanced Filters

Filters work together multiplicatively - each one narrows the dataset further.

Example: Finding Elite Local Grinders

Settings:

Min Entrants: 32
Max Entrants: 64
Large Event Threshold: 40
Min Large Event Share: 0.5

Result: Players who:

• Average 32-64 person brackets
• Attend 40+ person events at least half the time
• Likely dedicated local/regional grinders

Example: Major Tournament Veterans

Settings:

Min Largest Event: 128
Character Filter: Fox, Falco, Marth

Result: Top-tier character players with major experience.

Tips for Effective Filtering

1. Start broad, narrow gradually - Apply filters one at a time to see their effect
2. Check row counts - If you get 0 results, filters are too restrictive
3. Use Reset liberally - Don't be afraid to start over
4. Consider regional context - A "large" event in one state might be small in another
5. Combine character + entrant filters - Find serious mains of specific characters

Next Steps

• Interpret your results: Reading the Data
• Apply practical strategies: Tips & Best Practices