{"resourceId":"shottracker-radford-mens-basketball-helix-pulse-scout-2026-10-09","versions":[{"version":"external-b302605b717beb8143fab71efc4c0d0ef3b0be72205b58cf06ffe64ee29b512b","resource":{"id":"shottracker-radford-mens-basketball-helix-pulse-scout-2026-10-09","title":"Radford men's basketball adopts ShotTracker tracking, live bench analytics and natural-language Scout query layer (vendor release)","organization":"Radford University Men's Basketball / ShotTracker","sector":"NCAA Division I basketball performance analytics","geography":"United States (Radford, Virginia)","publishedAt":"October 9, 2026","publicationDate":"2026-10-09","eventDate":null,"sourceName":"ShotTracker","sourceLabel":"Vendor press release","sourceUrl":"https://shottracker.com/press-radford-university-mens-basketball-shottracker-partnership/","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["data-security","infrastructure","operating-model","knowledge-work"],"finding":"ShotTracker announced on Oct 9, 2026 that Radford men's basketball will deploy Helix (ball and player sensors plus an AI camera system in the practice facility, 70+ metrics), Pulse (live broadcast-feed ingest with analytics and synced video to the bench), Scout (natural-language or voice queries over data and film), ShotTracker Go and automated film breakdown. Head coach Zach Chu said tracking data has been slow to develop in college basketball. No cost, contract term, outcomes or data-handling terms are disclosed.","sledRelevance":"Why now: published Oct 9, 2026 and not archived; it extends the archived Wake Forest ShotTracker adoption to a mid-major program, showing natural-language query layers over athlete tracking data spreading below the Power conferences. Interpretation: athlete biometric-adjacent data governance becomes a concern for smaller departments too.","evidence":"Vendor press release with one coach quote; describes planned deployment only. No measured results, baseline, sample or independent evaluation.","architectureImplications":"Wearable/ball sensors and fixed AI cameras feed a vendor cloud platform; live broadcast ingest; LLM-style natural-language query over performance data and video.","governanceImplications":"Athlete tracking and workload data collected by a vendor; release is silent on ownership, retention, consent and NCAA performance-tech guidance.","securityPrivacyImplications":"Player movement and performance data are sensitive; access controls and vendor reuse terms need contract review.","caveats":"Vendor-authored; announced, not evaluated; no cost or outcomes.","streamIds":["college-athletics"],"roles":{"sales":"Sales framing: tracking plus natural-language analytics is moving to mid-major programs. Radford's adoption is a vendor announcement without results, so the credible offer is not ROI but data-governance readiness: athlete consent, ownership and retention terms before sensors go live. Do not claim performance gains or wins; the release reports none. A bounded engagement is a contract and data-use review for one program's tracking deployment.","engineering":"Engineering framing: this is a sensor, camera and video pipeline into a vendor cloud with a natural-language query layer. Engineers should map data flows from Helix and Pulse, check identity and role access for Scout queries, and confirm export and deletion. Proof means testing Scout answers against manually charted plays and verifying tracking metrics against film for a sample of practices.","delivery":"Delivery framing: operationalize consent and access before season. Delivery should name a data steward in athletics, document what metrics are collected, who can query them, and how long they persist, and align with NCAA performance-technology recommendations. Interpretation: acceptance should include signed athlete data notices and a verified Scout accuracy sample, not usage counts alone."},"roleDetails":{"sales":{"customerProblem":"A mid-major basketball program is adopting athlete tracking and AI query tools without disclosed data-governance terms.","stakeholders":["Head coach and video coordinator","Director of athletics","Sports medicine and performance staff","Compliance office","University counsel"],"discoveryQuestions":["Who owns and can export tracking data?","How long is athlete data retained?","Do athletes receive notice and consent?","How will Scout answers be validated?"],"valueHypothesis":"A data-use and accuracy review can let the program use tracking analytics while limiting privacy and reliance risk.","potentialEngagement":"A two-to-three-week data-governance and contract review for one team's tracking deployment.","unsupportedClaims":["Improved win rates or player development","Accuracy of Scout natural-language answers","Cost savings"]},"engineering":{"fit":"Basketball programs with practice facilities able to host fixed cameras and broadcast feeds.","architectureIntegration":"Sensors and AI cameras to vendor platform; broadcast ingest to bench devices; natural-language query over data and film.","prerequisites":["Facility camera installation","Network capacity for live video","Role-based user provisioning"],"constraints":["Vendor-hosted data","Undisclosed retention terms","Game-day connectivity dependence"],"security":"Enforce SSO and role-based access; contract for deletion, no secondary use and breach notice.","proofOfValue":["Scout answers checked against hand-charted plays","Tracking metrics spot-checked against film","Data export and deletion test"]},"delivery":{"work":"Stand up the tracking platform with data stewardship, access roles and validation checks.","dependencies":["Vendor onboarding","Facility IT","Compliance and counsel review"],"ownership":"Director of basketball operations with an athletics data steward.","skillsAdoption":"Train coaches and video staff to verify AI query outputs against film.","governanceCheckpoints":["Contract data terms approved","Athlete notice issued","Mid-season access audit"],"acceptanceCriteria":["Proposed: 100% of rostered athletes receive written data notice","Proposed: Scout sample accuracy of at least 95% against hand charting","Proposed: quarterly access log review"],"risks":["Vendor reuse of athlete data","Over-reliance on query outputs","Live-feed failures on game day"]}},"retrievedAt":"2026-10-10T22:11:37-05:00","enrichedAt":"2026-10-10T22:13:27-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Shifts video coordinators toward querying and validating automated breakdowns.","procurementImplications":"Multi-module platform bought by a single program; terms undisclosed.","operatingModelImplications":"Practice, game, scouting and video workflows consolidated in one vendor system.","sourceVerification":{"responseId":"curl-shottracker-radford-20261010T2211","openedUrl":"https://shottracker.com/press-radford-university-mens-basketball-shottracker-partnership/","referenceExcerpt":"Scout to let staff query that data and film using natural language","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}