<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/d679e34a854940c2baefa5feffa2ee4c&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d679e34a854940c2baefa5feffa2ee4c-05c68245b31f89cf.gif</thumbnail_url><duration>161.686</duration><title>Analyzing Trainer Stats for Better Betting Insights 📈</title><description>In this video, I discuss the importance of trainer data in identifying valuable bets, particularly focusing on trainers who have prepared their dogs well. I highlight a trainer named Saunders, who has an impressive 46% win rate with six wins from 13 runners in the last three months, primarily at Newcastle. I also mention the dog Swift Becker, which has a 69% win rate at the track and a perfect record at the distance. I encourage you to set alerts for trainers and dogs that show promise, like Saunders and Swift Becker, to stay updated on their performances.</description></oembed>