{"resourceId":"shottracker-davidson-wbb-helix-pulse-scout-go-2026-10-14","versions":[{"version":"external-4753e6e7b1a480fb39a57c19f37aed9160fa8ff47081feffbc34c36ecd12f329","resource":{"id":"shottracker-davidson-wbb-helix-pulse-scout-go-2026-10-14","title":"Davidson women's basketball adopts ShotTracker Helix, Pulse, Scout natural-language queries and the player-facing ShotTracker Go app (vendor release)","organization":"Davidson College Women's Basketball / ShotTracker","sector":"NCAA Division I basketball performance analytics and player development","geography":"United States (Davidson, North Carolina)","publishedAt":"October 14, 2026","publicationDate":"2026-10-14","eventDate":null,"sourceName":"ShotTracker","sourceLabel":"Vendor press release","sourceUrl":"https://shottracker.com/press-davidson-womens-basketball-shottracker-partnership/","evidenceClass":"vendor-claim","outcomeClass":"emerging","topics":["data-security","infrastructure","operating-model","knowledge-work"],"finding":"ShotTracker announced on Oct 14, 2026 that Davidson College women's basketball will implement Helix (sensors in the ball and worn by players plus an AI-powered camera system in the practice facility, 70+ metrics), Pulse (live broadcast ingest with real-time analytics and synced video to the bench), Scout (natural-language or voice queries over performance data and film for scouting and game planning) and ShotTracker Go (a mobile app where coaches assign workouts and athletes see a personal dashboard and compete with teammates). Head coach Gayle Fulks frames it as tools to measure growth and turn information into action. No cost, term, outcomes or data-handling terms are disclosed.","sledRelevance":"Why now: published Oct 14, 2026 and not archived. It is ShotTracker's fourth college adoption release in eight days (after archived Wake Forest WBB Oct 7, Radford MBB Oct 9 and Wichita State WBB Oct 12) and the first at a small private liberal-arts college, which suggests the natural-language scouting and athlete-app bundle is reaching programs with thin analytics staff. Interpretation: the adoption wave is outpacing any published accuracy or athlete-data governance evidence.","evidence":"Vendor press release with one coach quote; describes planned implementation only. No measured results, baseline, sample, accuracy figures or independent evaluation; a scrutiny search found no independent validation of ShotTracker sensor or query accuracy. The vendor claims use by more than 100 organizations across 20 NCAA conferences (unverified). Davidson's own athletics site showed no matching announcement at retrieval.","architectureImplications":"Ball and wearable sensors and fixed AI cameras feed a vendor platform; live broadcast ingest to bench devices; natural-language and voice query layer over data and video; mobile app distributing individual metrics and workouts to athletes.","governanceImplications":"The release is silent on data ownership, retention, athlete consent, opt-out and alignment with NCAA performance-technology recommendations. Teammate competition in ShotTracker Go raises whether comparative metrics need separate notice. Four near-identical releases in eight days give departments a chance to compare contract data terms.","securityPrivacyImplications":"Player movement and workload data, plus dashboards on athletes' personal phones, widen who can see an athlete's metrics and the attack surface. Role-based access, device controls and vendor reuse, model-training and deletion terms need contract review.","caveats":"Vendor-authored announcement; not evaluated. One women's college basketball program; no professional-sport evidence used. Cost, contract length and outcomes undisclosed. Incremental to three archived releases from the same vendor.","streamIds":["college-athletics"],"roles":{"sales":"Sales framing: ShotTracker's fourth college signing in eight days lands at Davidson, a small private college, so the full tracking and AI-query bundle is reaching programs without large analytics staffs. The evidence is a vendor announcement with no results, so the credible offer is governance and validation readiness, not performance ROI: athlete notice, teammate-visible metrics and contract data terms. Do not claim wins, development gains or time savings; none are reported. A bounded engagement is a data-use and accuracy review for one program.","engineering":"Engineering framing: sensors, facility AI cameras, live broadcast ingest, a natural-language query layer and an athlete app all feed one vendor cloud. Engineers should map those data flows, confirm role-based access separates staff, athlete and teammate views in ShotTracker Go, and test export and deletion. With no published accuracy data, proof means checking Scout answers against hand-charted plays and Helix metrics against film for sampled practices, sized for a program with limited video staff.","delivery":"Delivery framing: small programs need a lightweight stewardship model before athletes see dashboards. Delivery should name one data steward, document collected metrics, who can query or view them including teammate comparisons, retention and offboarding when athletes transfer, and align with NCAA performance-technology recommendations. Interpretation: acceptance should require signed athlete notices, a verified access matrix and a Scout accuracy sample, not app logins. Applicability is limited to programs able to host facility cameras."},"roleDetails":{"sales":{"customerProblem":"A small-college Division I women's basketball program is adopting an athlete-tracking and AI query stack with a player-facing app, without disclosed data-governance terms or accuracy evidence.","stakeholders":["Head coach and director of basketball operations","Video coordinator","Director of athletics","Sports medicine and performance staff","Compliance office","College counsel and IT"],"discoveryQuestions":["Who owns and can export tracking and video data?","What teammate metrics do athletes see in ShotTracker Go?","How long is athlete data kept after transfer or graduation?","How will staff validate Scout natural-language answers?","May the vendor use athlete data for product or model training?"],"valueHypothesis":"A short data-use, access and accuracy review can let a lean program use tracking analytics while limiting privacy, wellbeing and reliance risk.","potentialEngagement":"A two-week data-governance and validation review for one team's tracking deployment, ending in an access matrix, athlete notice and accuracy sample plan.","unsupportedClaims":["Improved win rates or player development","Accuracy of Scout or Helix outputs","Staff time or cost savings","Wellbeing benefits of teammate competition"]},"engineering":{"fit":"Basketball programs with a practice facility able to host fixed cameras and at least one staff member to manage video and data.","architectureIntegration":"Ball and wearable sensors and AI cameras to vendor platform; live broadcast ingest to bench devices; natural-language and voice query over data and film; mobile app for athletes.","prerequisites":["Facility camera installation","Network capacity for live video","SSO and role-based provisioning for staff and athletes","Mobile device policy for the athlete app"],"constraints":["Vendor-hosted data with undisclosed retention","Game-day connectivity dependence","Athlete personal devices outside institutional control","Limited video staff for validation"],"security":"Enforce SSO and role-based access separating staff, athlete and teammate views; contract for deletion, no secondary use or model training, and breach notice.","proofOfValue":["Scout answers checked against hand-charted plays","Helix metrics spot-checked against film","Access test confirming athletes see only permitted data","Data export and deletion test"]},"delivery":{"work":"Stand up the tracking stack with a named data steward, access roles, athlete notice and validation checks before full use.","dependencies":["Vendor onboarding","Facility IT and network","Compliance and counsel review","Sports medicine input on workload metrics"],"ownership":"Director of basketball operations with a designated athletics data steward.","skillsAdoption":"Train coaches and video staff to verify AI query outputs, and brief athletes on what their dashboards show and who can see them.","governanceCheckpoints":["Contract data terms approved","Athlete notice and opt-in for optional app features","Access matrix signed off","Mid-season access-log audit"],"acceptanceCriteria":["Proposed: 100% of rostered athletes receive written data notice before app access","Proposed: Scout sample accuracy of at least 95% against hand charting","Proposed: quarterly access-log review with no unauthorized views","Proposed: data deletion verified within 30 days of an athlete leaving"],"risks":["Vendor reuse of athlete data","Teammate leaderboards creating pressure or exposing workload data","Over-reliance on unvalidated query outputs","Live-feed failures on game day"]}},"retrievedAt":"2026-10-14T22:18:31-05:00","enrichedAt":"2026-10-14T22:20:24-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Shifts a small video staff toward validating automated outputs and adds athlete-facing support for the mobile app.","procurementImplications":"Multi-module platform bought by a single program; price and term undisclosed; four same-vendor releases in eight days allow peer comparison of contract data terms.","operatingModelImplications":"Practice, game, scouting, video and individual player development consolidated in one vendor system.","sourceVerification":{"responseId":"curl-shottracker-davidson-20261014T2218","openedUrl":"https://shottracker.com/press-davidson-womens-basketball-shottracker-partnership/","referenceExcerpt":"Scout serves as the intelligence layer across the platform, allowing staff to query performance data and video using natural language or voice commands.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}