Who is 6-4-3 Charts?

6-4-3 Charts is the best-in-class amateur data visualization and video platform for baseball and softball programs & organizations.

At 6-4-3 Charts, our mission is to provide coaches with a seamless experience to interact with, visualize, and report on data so they can enhance the scouting and player development process.

Besides our robust, user-friendly platform, we set ourselves apart from our competition by providing more comprehensive and more accurate data faster than anyone in the industry.


What Can 6-4-3 Charts Do For You?

AMATEUR DATA MAPPING

proprietary METRICS AND MODELS

COLLEGIATE DATA SOLUTIONS


AMATEUR DATA MAPPING

PLAYER LEVEL MAPPING COVERAGE

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(KinaTrax utilizing 643 Player ID system starting in 2024)


GAME LEVEL MAPPING COVERAGE

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EVENT LEVEL MAPPING COVERAGE

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proprietary METRICS AND MODELS

Measuring runs saved by comparing the results of each defender’s “chances” to the out probability of similar plays based on Synergy data. The metric is composed of different calculations for the different position groups (infielders, outfielders, catchers) with positional adjustments applied.

Measures a player’s total contribution (including hitting, baserunning, defense, and pitching) to their team in a single value. It compares each player to the theoretical “replacement-level” player. The idea is to measure how much more (or less) productive the player is compared to the player that would be “readily available” to replace them.

Credits hitters for the value of their swing decisions independent of results.

The model is built on factors including game context (the count, hitter/pitcher handedness, etc.), stuff metrics (pitch velocity, movement, approach angles, etc.), and most importantly, pitch location.

An estimation of the average speed of the barrel of the bat at the point of contact.

Quantifying the “nastiness” of each pitch using only its physical characteristics. 100 represents league average for each pitch type, and thus a league average Fastball (100) is not expected to perform as well as a league average Slider (100).

Quantifying command by normalizing each pitcher’s stuff attributes and measuring how the pitch’s location affects its performance relative to all other pitch types.

Modeling overall pitch quality by combining factors of stuff, command and deception (pitching tunneling, movement unexpectedness based on release traits, count-dependent pitch usage variation, release anomaly score, etc.). Each pitch is relative to all other pitches across pitch types.

Framing Runs

League Average Framing Runs

Framing+

Defensive Shift Model (See Images)

  • Infield: xBA, xSLG, xwOBAcon
  • Outfield: xBA, xSLG, xwOBAcon

Park Adjustments

Transfers/Quality of Competition Adjustment

Called Strike Probability

AMATEUR DATA SOLUTIONS

Play-by-Play Data:

  • NCAA DI – since 2017
  • NCAA DII – since 2018
  • NCAA DIII – since 2018
  • NAIA – since 2023

Box Score Data:

  • NCAA D1 – since 2017
  • JUCO – Coming 2024/25

Establish Custom, Private, & Anonymized API Endpoints

  • Efficient data workflow through optimized API calls
  • All endpoints include “last modified” timestamp fields for efficient retrieval
  • Fulfill any level of an organization’s desired data aggregation or granularity
  • Formatting to support your current or desired internal amateur data framework
  • Trial API tokens available upon request

Postman Collection with Sample API Endpoints

Daily Customer Support Available to Quickly Troubleshoot & Resolve Data Issues

CURRENT DATA DELIVERY

  • 3 MLB Organizations
  • MLB Draft – Player cards, on-site support, and social media support
  • MLB Draft Combine – Player cards, on-site support, and social media support
  • 650+ Collegiate Clients
  • 3 Summer Leagues – Backend mapping infrastructure and trusted front-end visualization suite for the:
    • MLB Draft League
    • Appalachian League
    • West Coast League
  • D1Baseball.com – Power all player, team, schedule, scoreboard, and leaderboard pages on D1Baseball.com. Worked with D1Baseball’s development team to conduct complete data migration from another provider
  • ESPN

CURRENT PARTNERS

6-4-3 CHARTS: THE DATA DIFFERENCE

Play-by-Play Data

Updated daily for D1 teams and twice per week for D2, D3, & NAIA teams. We have D1 data from 2017-2023+, D2 & D3 data from 2018-2023+, and NAIA data from 2022-2023+.

Data Optimization Process

6-4-3's data optimization process references all available resources of a given game against one another to ensure the most detailed data for each game.

Play-by-Play Data Collection

Play-by-play data is collected from team, conference, & NCAA/NAIA sites, resulting in multiple records for each game. Play-by-play narratives are parsed and stored in an intuitively keyed database.

6-4-3 CHARTS: DATA QUALITY ASSURANCE

The 6-4-3 Player ID System allows for efficient transfer tracking and accurate career metrics.

All players are assigned to batter/pitcher/baserunner unique player IDs.

Player ID mapping between 6-4-3 Charts, Synergy, TrackMan, Prep Baseball Report, and Nextiles.

Ability to track suspended games from secondary sources.

Ability to track suspended games from secondary sources.

Data is compared to corresponding Synergy and/or TrackMan data to supplement missing info, such as pitch types and more granular ball-in-play locations.

Trackman and Synergy Data Mapping

Connecting The Top NCAA Baseball/Softball Data Sources

  • Team/Player/Game/Event Mapping – All ID relationships are made available via 6-4-3 API, whether 1:1 or 1:n, depending on the relevant data system.
  • All records are accompanied by modification timestamps for seamless system synchronization.
  • Synergy partnership includes two-way data sharing for accuracy and additional quality assurance.
  • TrackMan data supplied via client-registered FTP

A Proven and Established Mapping Process

  • Data Mapped Daily
  • Game ID Mapping Between 3 Sources
    • 6-4-3 Charts
    • Synergy
    • Trackman
  • Pitch-Level Mapping Now Explicitly Warehoused
    • Synergy Event ID, TrackMan PitchUID, 6-4-3 Game+Play IDs
    • Users can return all pitch mappings by a given player, game, or more specific query
    • Last modified timestamps for consistent system synchronization
    • Efficient troubleshooting procedures to resolve data discrepancies – fully managed by 6-4-3 staff

Trackman & Synergy Data Mapping Example

6-4-3 Charts & Synergy Data Mapping Example

6-4-3 CHARTS: STREAMLINED DATA PIPELINE

Relevant API Controllers

Efficient Filtering

  • Seasons
  • Divisions
  • Conferences
  • Teams
  • Games
  • Players
  • Data Mapping

Returned Aggregated & Granular Data

  • Statistics
  • Sprays
  • Data

Expert Data Implementation. Dedicated Customer Support.

  • Establish Custom, Private, & Anonymized API Endpoints
    • Efficient data workflow through optimized API calls
    • All endpoints include “last modified” timestamp fields for efficient retrieval
    • Fulfill any level of an organization’s desired data aggregation or granularity
    • Formatting to support your current or desired internal amateur data framework
    • Trial API tokens available upon request
  • Daily Database Updates for D1 Baseball
  • Daily Customer Support Available to Quickly Troubleshoot & Resolve Data Issues

Examples of Data Delivery For Current Partners

  • Delivered a customized version of the solution outlined in this deck.
  • Collaborated with staff to create an optimal solution for the organization’s desired framework.
  • Discussed final data delivery with all departments:
    • Amateur Scouting
    • Data Architecture
    • Baseball Systems
    • Analytics Staff

2022 Season

  • 6-4-3 Charts scheduled data powered D1Baseball.com’s live scoreboards.
  • 6-4-3 Charts staff managed data quality assurance and integrity throughout the season.

2023 Season

  • Worked with D1Baseball’s development team to conduct complete data migration from another provider.
  • 6-4-3 data now powers all player, team, schedule, scoreboard, and leaderboard pages.
  • Implemented the addition of split types and advanced analytics to D1Baseball subscribers for the first time.
  • Game information data that now powers D1Baseball is available in custom API endpoints for MLB.
  • On-site data, analysis, and media support for the MLB Draft and Combine.
    • In conjunction with MLB Network and ESPN broadcasts for the Draft.
  • Social media coverage and cross-promotion with the league for both the Draft and Combine.
  • Pre-draft and post coverage including:
    • Top Prospects
    • Player Cards
    • Player Comparisons
    • Draft Class Stats
  • Data and analytics partner for the 2022 & 2023 seasons.
  • Delivered custom API endpoints to meet specific data delivery needs.
    • Enabled data-powered front-end visualizations.
    • Comprehensive support for on-air talent, stats, research, post-game, and social media teams.
  • Staff used 6-4-3’s front-end tools to track pitches and utilize aggregated data on air.
  • Currently developing a media-focused front-end platform for ESPN staff.

INTERESTED? QUESTIONS?