Relative Race Strategies for LCM Swimming

Published: July 31, 2019

Introduction

As a follow-up to “Building a Relative Race Strategy”, this post re-visits the relative race strategies for the 100 and 200 LCM stroke events from 10 select competitions between 2010 and 2019.

Given there are many theories of how to effectively split (i.e., manage) a swimming race, the goal of this publication is to portray the quantifiable evidence of how the best swimmers actually do compete, so that training strategies can be tailored accordingly.

For example, back in the day, my best LCM event was the 200 Butterfly, but I also swam the 200 Freestyle occasionally, and the 200 LCM race strategy that I trained for, regardless of stroke, was:

As a result, this math would tell you that, again regardless of stroke, you were supposed to split your race evenly, front to back. However, as you are about to read in this publication, not a single 200 event, female or male, is evenly split.

Data Set

The data set for this case study uses the following criteria:

Furthermore, each performance is broken down by splits (2 x 50’s for the 100 LCM races and 4 x 50’s for the 200 LCM races) so that average splits can be calculated and compared relative to each other.

In the end, each of the 16 events in the data set is broken down into absolute split comparisons to a clock (i.e., in seconds and hundredths), and relative split comparisons to other splits (i.e., in percentages).

Additionally, calculators are included so that the splits for any target time can be deduced based on the relative race strategies produced from this analysis.

For context, using the Female 100 LCM Backstroke and the Male 200 LCM Freestyle as examples, when reading the charts and tables below, the data can be interpreted as:


Event Analysis Charts (Exhibits 1 through 4)

Female 100 LCM Backstroke


Male 200 LCM Freestyle


Event Calculator Tables (Exhibits 5 through 8)


Female 100 LCM Backstroke


Male 200 LCM Freestyle

Conclusion

What the data from Exhibits 1-4 shows is that, for both the 100 and 200 LCM events, the long-axis strokes (i.e., backstroke and freestyle) maintain a tighter split strategy than the short-axis (i.e., butterfly and breaststroke) strokes.

Additionally, the data re-iterates that, regardless of the stroke, the best swimmers in the country do not descend their 50’s throughout a 200.  The only exception is the Female and Male 200 LCM freestyle whose 4th 50 is slightly faster than the 3rd (which, notably, is not the case for the 200 SCY races).

Ultimately, this data supports the case to produce tailored race strategies based on stroke, distance, and gender, as opposed to a generic race strategy for every event.

Exhibit 1
Female 100 LCM Stroke Analysis
Average of 50 performances for each race across 10 competitions

Exhibit 2
Female 200 LCM Stroke Analysis
Average of 50 performances for each race across 10 competitions

Exhibit 3
Male 100 LCM Stroke Analysis
Average of 50 performances for each race across 10 competitions

Exhibit 4
Male 200 LCM Stroke Analysis
Average of 50 performances for each race across 10 competitions

Exhibit 5
Female 100 LCM Event Calculators

Exhibit 6
Female 200 LCM Event Calculators

Exhibit 7
Male 100 LCM Event Calculators

Exhibit 8
Male 200 LCM Event Calculators

Footnotes

Author: Elliot Meena

Published: July 31, 2019

Sources: Omega Timing, Swimming World Magazine

Notes: