Athlete Relocation Intelligence · NMLS#1875937

When a pro athlete relocates,
their family needs a home in 48 hours.

We track every athlete in pro and NCAA sports, predict their housing budget when they move, and route the referral to a vetted luxury real estate agent in the destination city. Two-sided marketplace. 25% referral fee on closed transactions.

Live platform data
56,239
Athletes tracked
13
Pro leagues + NCAA
1,043
Coaches & front office
231
Player agents (179 agencies)
40,301
NCAA NIL valuations
326
Predicted listing prices
What the platform does

Detect every move that triggers housing

Trades, signings, drafts, coaching hires, MiLB call-ups, NCAA → pro promotions, free-agency departures. We surface the move within hours of public reporting and score each event 0-100 by its housing-event likelihood.

Predict the price band before they shop

ML model trained on contract value, league, position, market priors, and historical athlete purchases outputs a low / mid / high housing budget for each incoming athlete. Accurate enough to route the lead to the right luxury agent in the destination city.

Route the lead to the right agent

Vetted luxury real estate agents apply at /apply, e-sign a 25% referral agreement (33 US states + 7 Canadian provinces), and get matched to leads in their market. Krishna Malyala (NMLS#1875937) is the referring broker on every agreement.

Two homes per athlete, not one

A QB in NYC needs a Manhattan pied-à-terre for game-day stays AND a Hamptons / Westchester / NJ / CT primary residence for the family. Our outreach to receiving agents includes BHS RLS-listed pied-à-terre options + suburban primary-home matches.

Where the data comes from
NHL api-web (rosters + AHL/NCAA/USHL/CHL/KHL stats)
MLB Stats API (rosters, transactions, MiLB tiers)
ESPN public APIs (NFL, NBA, MLS, WNBA, CFL, NCAA across 5 sports)
Spotrac (1,491 players linked to representation)
BHS REBNY RLS (live Manhattan listings, $7-60M)
Reddit + The Athletic + FanSided (trade-rumor velocity index)
Local Ollama LLM (Qwen 2.5) for sentiment + reply classification
Every record stores its source URL. All data is publicly available. No Fair-Housing-Act protected-class fields are ingested or scored. Agreements are E-SIGN Act compliant; cross-border (US → Canada) referrals use a broker-to-broker structure.
Two ways to plug in

Are you a luxury agent, or someone who advises athletes?

Agents apply to receive matched referrals. Family offices, sports agents, and front-office advisors who'd like an early look at the relocation feed should email Krishna directly.