The intelligence platform for roster building.

Predictive models that align player talent with your scheme and personnel philosophy.

EIG Eval — 2026 WR Board
WR · 2026 ClassElite+ tier
#PlayerTierElite Grade
1
Jeremiah SmithOhio State
ELITE+100.3
2
Cam ColemanTexas
ELITE+90.0
3
Mario CraverTexas A&M
ELITE+89.5
4
Ryan WilliamsAlabama
ELITE+88.0
Ranked by EIG Elite Grade — position-specific models
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Aligning organizational strategy with roster decisions—the operating standard for modern programs.
One platform
Connected intelligence
Built for championship organizations

The Platform

Platform Capabilities

Evaluation, predictive modeling, and the workflows around them—in one place.

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Transfer Portal

Analyze and rank the entire transfer portal pool, so you can move decisively the moment the window opens.

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Predictive Modeling

Position-specific models that project player outcomes from historical and advanced data, validated against real results.

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Methodology

Proven models to drive
winning outcomes.

Our models don't hand you a generic board. They weigh talent against how your team actually plays—surfacing players who fit your scheme, flagging the ones who'd be miscast in it, and showing where your grade should part from consensus. Fewer misfits, and more time on the decisions that win seasons.

11
Draft classes validated
1,000+
Prospects graded
91%
Elite+ college-to-NFL accuracy

Company

Building the operating foundation for modern sports organizations.

EIG Eval began with predictive modeling for player evaluation. The vision is bigger: one connected platform—AI, predictive modeling, and the workflows around them—that becomes how a modern sports organization operates and decides. We build it one real capability at a time, in the hands of the teams using it.

Identify the players that fit your scheme.

See how the platform fits the way your organization already operates.

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