德国滑雪运动员在费利克斯·洛克的带领下,利用数据分析来减少时间损失,尤其是在2026年冬季奥运会前的第4个道. German bobsled and luge athletes, led by Felix Loch, use data analytics to reduce time losses, especially in curve 4, ahead of the 2026 Winter Games.

德国滑动运动员,包括奥林匹克冠军费利克斯·洛克,正在利用数据分析来确定2026年冬季运动会训练过程中的微小时间损失。 German sliding athletes, including Olympic champion Felix Loch, are using data analysis to pinpoint tiny time losses during training for the 2026 Winter Games. 在数据科学家Julian von Schleinitz的帮助下, 他们正在精炼技术、设备和赛车线路, With help from data scientist Julian von Schleinitz, they’re refining technique, equipment, and racing lines, focusing on critical sections like curve 4 on the Cortina track. 教练们表示，前四个弯道将决定胜负，因为在那里失去的时间很难挽回。 Coaches say the first four curves will be decisive, as lost time there is hard to recover. 该方法强调在高性能滑动运动中越来越多地使用分析法。 The approach highlights a growing use of analytics in high-performance sliding sports.