RT Engine by Solis Consulting

Roster
intelligence
for college
football + basketball.

Decision Center, market context, and scenario modeling for programs that have to allocate roster capital — not guess it.

Program views are examples from the live product, not customers or endorsements.

2
College sports
3
Live decision surfaces
FB + BB
Football & basketball
Live
Decision system

A decision layer
for the roster.

RT4Athletics reads a program the way personnel actually works: who to protect, what capital is doing, where the market is cheaper or better, and what happens if you move.

Miami Decision Center example
Decision Center · Miami example

The questions staff
already ask.

01 / Decisions

Decision Center

A ranked queue of protect, reprice, and review — with modeled capital range and confidence on every name, not a dump of stats.

02 / Players

Player & performance intelligence

Usage, OVR, class, and decision movement in one place so performance is read against the roster job, not in isolation.

03 / Capital

Roster capital

See how the roster pool is actually allocated — by player and by position — before the next dollar is committed.

04 / Market

Market & replacement context

Conference depth, peer capital, and replacement paths for where the home roster is thin. External alternatives, not a portal database.

05 / Talks

Negotiation support

Put modeled value next to the conversation you are actually in, so offers and counters have a number behind them.

06 / Scenarios

Scenario modeling

Eligibility holes, shortlist swaps, and save/spend suggestions — what-if the roster before you spend the offseason.

The same system.
Different homes.

Every program runs through the same decision system, with its own roster, market context, and modeled capital.

Miami Decision Center example
Decision Center · Miami example

Who to pay. Who to play. Who needs a conversation.

The home roster, ranked by action. Capital under review, positional pressure, and a queue staff can work — not a spreadsheet they have to interpret.

Replacement, not just ranking.

See conference depth and modeled roster pools beside the home roster’s weak spots. The point is alternatives — who could replace a job, and at what capital.

SMU Market Context example
Market Context · SMU example
Wake Forest Scenario Lab example
Scenario Lab · Wake Forest example

Move the roster before you move the money.

Projected eligibility holes, shortlist swaps, and save/spend suggestions. Model the offseason instead of discovering it in June.

A platform.
Not a one-school demo.

The same three surfaces open for every home. These frames are examples from the live product, not affiliations.

Clemson Decision Center example
Clemson · Decision Center · example view
Miami Decision Center example
Miami · Decision Center · example view
SMU Market Context example
SMU · Market Context · example view
Wake Forest Scenario Lab example
Wake Forest · Scenario Lab · example view

How the product
reads a roster.

Analysis of roster decisions, market movement, and what the model is seeing across college football and basketball.

What Decision Center actually shows

Protect, reprice, review — and why the queue is a decision object, not a leaderboard.

Read the note

More notes as the model moves

Market context, scenario holes, and program examples will land here.

Browse Insights
Access

See it on your roster.

Walkthroughs are scheduled. There is no public self-serve plan on this page.

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