Greenberg's human capital scaling model (e.g. +11 analysts during rebuild phases).
Scouting-to-Math Bridge Layer
2. Live Front-Office Data Pipeline● STREAMING 48.5k evt/s
1. Ingestion
48,500 evt/s
Optical Tracking
2. Central DB
Ivy/Madhouse Hub
Normalized Schema
3. Math Models
Thomas WAR 2.4
Bayesian Hitting
4. Front Office
3.4h Latency
Scout Alignment
Pipeline Telemetry & Continuous Flow
Optimal balance: Greenberg's Ivy/Madhouse centralized database aggregates discrete pitch tracking with high-volume continuous spatial hockey coordinate vectors, while Thomas's predictive models project player talent with minimal latency.
3. Front-Office TelemetrySYSTEM HEALTH
Pipeline Throughput
48,500
Events / sec
Scouting Adoption
88.5%
Field Integration
Model Accuracy Index
91.2
WAR / R² Precision
Decision Latency
3.4 hrs
Inquiry turnaround
Organizational Synergy Score93.4 / 100
Synergy Peak: High staff headcount coupled with translation bridge ensures advanced Harvard/MIT models reach scouts without friction.
Jeff Greenberg
Strategic Systems Integrator & Database Builder
MACRO ARCHITECT
Core Tenet:"You understand analytics more than you think." Greenberg demystifies data, convincing traditional coaches and field scouts that baseball and hockey instincts are naturally analytical models waiting to be parameterized.
Proprietary Hubs: Built the Chicago Cubs' championship-era Ivy database and modernized Blackhawks operations with Madhouse.
Aggressive Human Capital: Rapidly scales analytics staff (e.g. hired 11 analysts at Blackhawks) to bridge organizational silos.
Cross-Sport Fluid Dynamics: Contrasts baseball's discrete pitch events with continuous hockey tracking to unlock fluid spatial insights.
Dr. Andrew Thomas
Academic Pioneer & Deep Mathematical Modeler
MICRO MODELER
Core Tenet:"Compute truth at the physics and Bayesian edge." MIT Physics graduate with Harvard PhD in Statistics; co-founder of seminal public hockey analytics portal War-on-Ice.
Pioneering Hockey WAR: Invented the mathematical foundation of Wins Above Replacement for continuous on-ice spatial flow.
High-Granularity Pitch & Swing Models: Formulates micro-level projection models evaluating bat speed, pitch deception, and release physics.
Academic Pedigree: Mentored top hockey front-office thinkers at Carnegie Mellon before architecting MLB analytics engines.
Scouting Instinct Parameterization Engine
Select or customize qualitative scout observations to view how the Greenberg-Thomas translation layer transforms subjective field reports into quantitative distributions for the predictive model.
85%
Calculated Translation Schema & Bayesian Prior:
Cubs 'Ivy' Model (Discrete Baseball Hub)
Engineered to unify draft scouting, minor league trackman data, biomechanics, and contract valuations.
Entity / Table
Primary Dimensions
Pipeline Function
scout_eval_stream
scout_id, player_uuid, 20-80_grade
Ingests field reports & video timestamps
pitch_physics_track
spin_rate, release_vel, ivb, hb
High-frequency optical Doppler feed
decision_consensus
trade_value_index, projection_war
Front-office trade simulator feed
Blackhawks 'Madhouse' Model (Fluid Spatial Hub)
Engineered for continuous coordinate tracking (x,y,t), puck possession transitions, and live trade valuation.