Draft Combine Data
40-yard dashes, vertical jumps, and position drills with outcomes -- the evaluation data that predicts (or fails to predict) pro success.
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Find Me This Data →Overview
What Is Draft Combine Data?
Draft Combine Data consists of standardized athletic performance measurements captured during pre-draft evaluation events, including 40-yard dash times, vertical jump heights, position-specific drills, and other biomechanical assessments. This data serves as a primary input for scouts, coaches, and front offices attempting to predict professional success and identify talent across collegiate and international athlete pools. The combine has become a critical data touchpoint in professional sports recruitment, creating a structured dataset that correlates measurable physical performance with long-term career outcomes, though predictive validity remains contested across positions and skill sets.
Market Data
No specific combine data market sizing available
Market Context
Source: FileYield Research
Who Uses This Data
What AI models do with it.do with it.
Scout & Coaching Analysis
Professional teams and college programs use combine metrics to cross-reference with game film, identifying talent gaps and validating eye-test evaluations during draft preparation.
Player Valuation & Contract Negotiation
Agents and financial advisors reference combine performance to benchmark client market position, negotiate draft slot expectations, and structure compensation discussions.
Media & Analytics Platforms
Sports data companies, broadcast networks, and analytics sites publish combine results and predictive models to serve fan engagement and professional betting markets.
Academic & Predictive Modeling
Researchers analyze combine data longitudinally to develop models linking physical performance to career longevity, injury risk, and positional success rates.
What Can You Earn?
What it's worth.worth.
Combine Database Licensing
Varies
Professional teams, media outlets, and analytics platforms negotiate custom licensing for historical and real-time combine datasets. Pricing depends on data scope, update frequency, and distribution rights.
Derivative Analytics & Models
Varies
Predictive models and performance benchmarking tools built on combine data command premium licensing from sports betting platforms, fantasy sports services, and institutional research firms.
Athlete Performance Profiles
Varies
Detailed individual athlete combine reports and comparative analysis sold to agents, scouts, and college programs for draft preparation and recruitment targeting.
What Buyers Expect
What makes it valuable.valuable.
Standardized Measurement Protocol
Buyers require consistent testing conditions, certified timing systems (electronic gates), and calibrated equipment across all athlete measurements to ensure comparability and defensibility in decision-making.
Complete Position Coverage
Professional scouts and teams expect comprehensive drill data across all positions with position-specific metrics (e.g., shuttle runs for defensive backs, bench press reps for linemen) rather than generic benchmarks.
Longitudinal Validation Data
Buyers increasingly demand historical correlation studies showing how combine metrics correlate with pro career outcomes, injury rates, and performance longevity to validate predictive utility.
Athlete Metadata & Context
Professional teams require complementary data such as injury history, training regimens, age, body composition, and film review assessments to contextualize raw combine numbers and reduce false positives.
Real-Time Access & Updates
Media platforms and analytics firms expect live or same-day combine result feeds with secure API access, enabling rapid publication and model refreshes during evaluation windows.
Companies Active Here
Who's buying.buying.
Internal scouting databases, draft board modeling, and player evaluation for recruitment and contract structuring.
Public combine data distribution, predictive model development, and broadcast/digital editorial content.
Incorporate combine metrics into prop betting odds and daily fantasy player valuations.
Benchmark athlete performance, negotiate draft positioning, and structure marketing materials for draft prospects.
FAQ
Common questions.questions.
Why do teams still value combine data if it doesn't always predict pro success?
Combine data provides a standardized, comparable baseline across hundreds of athletes in a controlled environment. While predictive validity varies by position, teams use it alongside film study, medical evaluations, and psychological assessments to triangulate talent. It's particularly useful for eliminating outliers and identifying red flags rather than as a sole predictor.
Which combine metrics are most predictive of NFL success?
Position-dependent: 40-yard dash and agility drills (shuttle, 3-cone) correlate strongly for skill positions; bench press reps matter more for linemen. Vertical jump and broad jump show mixed correlation with career performance. However, no single metric reliably predicts production; context (age, injury history, competition level) is critical.
How do I access historical combine databases?
Official NFL Combine data is published by the NFL and available through aggregators like NFL.com, ESPN, and specialized sports data vendors. Professional teams maintain proprietary databases with additional measurements and video. Academic researchers and media outlets license curated datasets for analysis and publishing.
Can combine data be sold or licensed as a data product?
Yes. Historical combine datasets are licensed by media companies, analytics firms, and betting platforms. Raw measurement data is typically owned by the event organizer (e.g., NFL), but derivative products—predictive models, comparative benchmarks, and athlete profiles—create licensing opportunities. Pricing varies based on data scope, athlete population, and end-user restrictions.
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