video1.0<iframe src="https://www.loom.com/embed/55bf45d4040041a39f14b2505047ddbb" frameborder="0" width="1658" height="1243" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12431658Loomhttps://www.loom.com12431658https://cdn.loom.com/sessions/thumbnails/55bf45d4040041a39f14b2505047ddbb-d6ea86edf635aa31.gif173.91This Loom presents Injury IQ, a daily injury recovery risk predictor to help trainers decide whether an athlete should practice. It shows a morning check-in example using five inputs including sleep duration, soreness, days since last rest, prior injuries, and planned training load around 800, which yields a high risk result with a recommendation of restore active recovery only. The tool highlights the top drivers behind the risk, such as training load, sleep, and soreness. Under the hood, it uses a star schema and a logistic regression model trained on 1,500 athlete days.