A Valorant VOD is mostly setup. The moments people actually post are short, and a lot of them announce themselves in the HUD: a kill banner, a stack in the feed, an ace notification. Before you reach for a model, it is worth asking how far a 50-pixel template will get you.

This tutorial builds a small OpenCV detector around that idea, then measures it. I did not use a real Valorant recording. Riot's art, fonts, agent icons, and HUD are not mine to crop and republish, so I synthesized a 12-second 1080p clip with an original navy-and-cyan elimination banner in the top-right. The code is a teaching implementation. It is not a clone of anyone's production pipeline, and the scores below are not match-prediction accuracy on live games.

I work on FragCut, an AI gaming clip maker.…