Data visualization drives a decision

Downward slope

I downloaded my Garmin after yesterday’s race to get a breakdown of my run. I’m a big fan of data visualization. When I looked at the cadence chart the data showed exactly where my base training had come up short. At 3.2 miles (almost the exact distance of my daily training runs) my average cadence had dropped from 89 to 85 SPM.

The shortcomings of my running routine could not have been clearer. I wasn’t putting in enough distance in my daily training. I’ve always prided myself on the fact that I usually run six days out of seven. While the frequency is high, the distance is middling. It’s a healthy routine, but not one that produces great race performances.

I’ll admit that it’s hard to break a running routine that’s been a way of life for five years. Clearly a change is due. I’ll continue to aim for longer runs on weekends, and try to increase my weekday distances. I’ll aim for the same 18-20 miles a week, but will only run three days instead of four. If I could get closer to a 5 mile average run, my performance might proportionately improve.

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