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Dropback
Dropback for

AI that wins the talent war

Turn your knowledge, data, and judgment into a secure AI-ready data layer — just like pro sport organizations do.

AI Workspace

Construct creative compensation packages

Strategize spend, simulate scenarios, and project financials to construct cost-efficient rosters.

Cap management workspace

Roster slots & limits

Roster slots & limits

Contract construction

Contract construction

Custom budget pools

Custom budget pools

Multi-year planning

Forecast future scenarios across budget pools

Scholarships

Track roster limits & equivalencies, alongside compensation.

Custom rules

Set athlete, budget, and teamwide monitors and alerts.

Export reports

Download or print any view, for coaches or admins.

Powerful for any sport.

Invest in data & AI infrastructure for the Front Office of every revenue-sharing sport.

The ultimate Cap Management workspace

The days of a dozen tabs are over. Make decisions like the Pros with tech like the Pros.

A sprawl of legacy tools and open tabs
Private Database

Any data, all one place

Make data-driven roster decisions with all your data from anywhere. Securely centralize datasets across external and internal systems.

Connect

Connect your data

Live, real-time feeds from the sports data providers you already use and trust — no exports, no manual refresh.

PFFHudlSynergy+10

Trusted by Front Office Leaders

Our Front Office is our competitive edge. Dropback is the tech that powers it.
Asst. AD, Player Management
Football • Georgia
Dropback is an important part of our overall player acquisition, retention and management strategy.
Kevin Sergent, Associate AD
Department • Kentucky
DepartmentRead Case Study
It's like we have our own data analytics team one click away at all times.
Assistant GM
Basketball • Butler

Frequently asked questions

30+ teams in
ACCBig TenBig EastSEC

To win on the field, transform the work off it.

Dropback is everything cutting-edge Front Offices need to accelerate AI adoption: data, tools, and security in one private system.