Technical insights across disciplines, range updates, and performance analysis from the pack.
Your coach can see a lot. AI can see what your coach can't — release timing anomalies, grouping drift building mid-end, real consistency data versus how tight your shots felt. Here's what computer vision reveals about your archery performance, and why it matters for how you train.
You understand the equipment differences now. Longbow versus barebow versus Olympic recurve versus compound—you know what distinguishes each discipline, what they cost, and why people choose different paths. That's the easy part. Now comes the harder question: "Which path is actually right for you?" This isn't about which bow shoots fastest or looks coolest or costs least. It's about which discipline matches your goals, suits your temperament, and most critically—which one you'll still be prac
Walk into any archery facility and you'll witness what appears to be two entirely different sports happening side by side. In one lane, an archer holds a minimalist wooden bow, drawing with bare fingers, eyes tracking down the arrow shaft to the target. Twenty feet away, another archer stands behind a carbon-fiber compound bristling with stabilizers and sights, studying a digital readout before releasing through a mechanical trigger. Both are valid. Both are rewarding. Both are "real" archery.
Since 2003, the PGA Tour has tracked every shot hit in competition — trajectory, distance, lie, result. Mark Broadie spent years building a framework around that data, and when strokes-gained went mainstream in 2011, it didn't just change how analysts talked about golf. It changed how players practiced. By 2015, Major League Baseball's Statcast was running in every stadium, capturing exit velocity, launch angle, and spin rate on every pitch and every batted ball. Coaches stopped guessing. The da