Basketball · D1

Continuous Intelligence Loop

Decision intelligence — not data. Watch what your coach sees, not what the model computes.

Pick a player, simulate the personalized HC-framed survey, toggle social listening signals on or off. The model re-scores live — but what you see is what the coach sees: what changed, what it means, what to do. AI complexity stays under the hood.

AC
Antonio Chol
Stretch 4 · New Mexico · Junior · 6'9" · MWC
Yellow
Baseline trajectory
Rising
Transfer risk (BB v3)
0.587
2025-26 BPM
100.86
Min %
61.0%
Combined risk score
0.504
What the model already sees (verbatim from BB v3 output)
"Elevated transfer risk · Performance trending up. Friction context: prior portal entry, repeat transfer, playing far from home." — That's why Chol lands at Yellow despite a Rising trajectory. The signal isn't about his game; it's about the environment around it.
EO
"Hey Antonio — Coach Olen wants to learn more about you, your game, and how to help you reach your ceiling. These questions stay between you and the staff. Be honest — there are no wrong answers."
Personalized HC framing — automated by the program (New Mexico's logo + voice + name). Focus groups confirmed athletes reveal more when they believe the head coach is asking. The QwikU integration adds a 5-8 second synthetic HC video intro per section, deepening the trust signal.

Survey response (10 behavioral dimensions)

Drag any slider to simulate Antonio's answer pattern across the survey. The model re-scores live.

Social listening pulse

These four signals run continuously between survey cycles. Toggle to simulate what the model sees during the season.

What the model sees → What the coach sees

Live recomputation. Survey responses + social signals → feature columns → updated trajectory + R/Y/G.

Satisfaction readSatisfaction read — the player's read on their own fit, role, and development. Blends coachability, resilience, identity, and patience. 0.0 = unhappy, 1.0 = strong alignment. Drives the trajectory model.
0.50
Culture fit readCulture fit — how well the player's values align with the program. Heavy external influence (agents, NIL collectives) pulls this down. 0.0 = mismatch, 1.0 = strong alignment.
0.50
Authority frictionAuthority friction — likelihood of conflict with coaching staff. Built from authority resistance, external influence, and coachability. 0.0 = clean, 1.0 = high friction risk.
0.50
External pressureExternal pressure — pull from outside voices (NIL, agents, family). Predicts pressure-driven transfers. 0.0 = low, 1.0 = heavy outside pull.
0.50
Updated trajectory tier Rising
Updated combined risk 0.504
Updated R/Y/G signal Yellow
Baseline: Yellow / Rising. The friction is environmental — prior portal entry + far from home. Move sliders to see how survey + social listening can shift the signal toward Green or Red.

The four input streams

Each runs on its own cadence. The model re-scores when any of them crosses a threshold.

Athlete survey
Quarterly pulse
HC-personalized intake at signing. 5-7 question pulse every 90 days. Updates four survey_* feature columns.
Parent survey
Annual
Cross-references athlete answers on key divergence pairs (NIL, distance, development patience).
Weekly stats (BartTorvik)
Weekly during season
BPM, USG, ORtg, advanced rates, lineup data. Refreshes Performance Trajectory inputs every Monday morning.
Social listening
Continuous (6h sweep)
Follower-graph drift, engagement patterns, search velocity, frustration markers. Always-on. Triggers re-score on threshold cross.
Read the full Intelligence Loop doc What is social listening? Survey → model math Companion: UNM Transfer Comparison Football version (Mettauer / Wisconsin)