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Block Start Analysis: What Metrics Should We Focus On?

Blog| BySam Leslie

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Block Start Norms

The project was to take 19 high-level sprinters and investigate the association between varying data points that could be collected utilizing the Plantiga and VueMotion software.

The sprinters were tested over 20 meters from a block start position. Data was collected on their takeoff and landing accelerations out of the blocks and the first three strides, and additionally on the time taken to run 20 meters in nine of the athletes.

Kinogram-Start
Image 1. Block start.

The hypothesis was that there would be a high correlation between sprinting time over 20 meters and peak acceleration, ground contact time, time to first step, and total takeoff acceleration amongst the athletes. The investigation was also set up to test whether other correlations existed between takeoff and landing force, as well as landing forces and peak acceleration and time to 20 meters.

The Equipment

The Plantiga device was used across all 19 athletes, and VueMotion only over nine. I have written about Plantiga in two previous articles for SimpliFaster, which can be found here and here, where we demonstrate the technology’s utility for determining acceleration outputs in the sprinting stride.

VueMotion is an automated software tool that uses video capture uploaded from your mobile phone. It then automatically breaks down the data into usable visual and objective metrics.

In this article, I only utilize the VueMotion to obtain the time to 20 meters, though there is so much more you can use VueMotion for in athletics. Find out more on the VueMotion website.

The Athletes

The athletes, aged 16–26, were all specialist 100m sprinters who compete at the national level. Their legal wind personal bests ranged from 10.23 to 11.1, putting them in the top echelon of their age group nationally.

VueMotion Kinogram
Image 2. VueMotion kinogram

The Data Collected

The table below summarizes the data collected from the Plantiga for the 20-meter acceleration across the 19 athletes. Due to extenuating circumstances, the VueMotion was only captured in nine of these 19 athletes, and we were able to achieve further correlations using this data.

Plantiga Data
Figure 1. Plantiga data from testing. The data in this table is the average data and the range across all the data sets.

With only 19 athletes tested, we must consider the analysis with a grain of salt. However, with the publication of this as a start, and support from Plantiga, I hope this can be collected into a better example of normative ranges that coaches and athletes can utilize in the future to gain inferences on their starting technique compared to other athletes.

Normative Data
Figure 2. The normative data collected.

What Does the Data Show?

We utilized a Pearson’s correlation coefficient calculation across multiple pairs of data collected from the table in figure 2. The first table below (figure 3) displays the significant correlation values with peak acceleration.

Figure-3
Figure 3. Using multiple pairs of data from figure 2, this table shows the significant correlation values with ‘peak acceleration.’

Figure 4 displays the significant correlation values with time to 20m.

Figure 4
Figure 4. Using multiple pairs of data from figure 2, this table shows the significant correlation values with ‘time to 20m.’

Looking at the data, there are many things obvious to the coach and a number of interesting items as well.

The data we gathered shows many obvious things to a coach, but also a number of interesting items. Share on X

The ground contact time of the first step out of the blocks, total push accelerations out of the blocks and first three strides, push acceleration out of the blocks only, and push acceleration from rear block only first and third steps only were all highly correlated with peak acceleration and time to 20m.

This makes sense: the better push out of the blocks and push acceleration of the first three strides led to a better time over 20 meters and acceleration.

What was interesting was what was not correlated…

What Does the Data Not Show?

The table below outlines a number of correlations that did not reach significance but theoretically may have been expected to.

Front Foot Push Out of the Blocks

While the rear foot takeoff acceleration out of the blocks was significantly correlated with 20-meter time and peak acceleration, the front foot takeoff acceleration was not.

Second Step Takeoff Push Acceleration

While the rear foot takeoff acceleration out of the blocks, along with the push acceleration of the first and third steps, was significantly correlated with 20-meter time and peak acceleration, the second step was not.

Interestingly, the front foot and second step measure the same leg, whereas the rear, first, and third steps also measure the same (opposite) leg.

This leads to a number of questions:

  • Could this be an area for training focus?
  • Could an improved Reactive Strength Index (RSI) of the front foot improve outcomes, or is that leg not as important as the rear leg in block starts?
  • If a coach wants to be the most efficient in their intervention, should they focus mainly on developing the takeoff acceleration capability of the rear block leg, as this has a better predictive outcome of yielding better 20-meter start times?

With only 19 athletes, the data is presented to promote discussion, not conclusions—but the art of coaching will find these variables interesting to manipulate to get the best results.

Total Landing and Pushing Accelerations

Total landing accelerations showed no correlation with any of the data sets. The instruction often given to athletes is to hit the ground to push back up—but certainly, in the first few steps, there is no need for that instruction, as there is no correlation. That is not to say there is no correlation in other phases of the sprint cycle, but this warrants more investigation.

Out of the Blocks

Takeoff acceleration from the blocks (front and rear) was significantly correlated to time to 20 meters, yet the push accelerations of the first three steps were not. This demonstrates the importance of pushing out of the blocks in the first 20 meters, particularly from the rear foot, as mentioned earlier.

Ground contact time on the first step and time to first step (TTFS) were moderately correlated, though not significant. This data set would be worth monitoring with more athletes tested to determine conclusions.

Time to first step did not correlate with peak acceleration or takeoff push accelerations from blocks, all three steps, or a combination of both. This suggests that the limb velocity required for a rapid TTFS is a separate skill from the acceleration-dependent skills of the takeoff accelerations that are highly correlated with peak acceleration and time to 20 meters.

Figure 5
Figure 5. This table outlines several correlations that did not reach significance but theoretically may have been expected to.

Project Summary and Surprises

This study set out to determine which sprint metrics within the first three strides correlated highest with sprint performance to 20 meters. Not surprisingly, the takeoff (push) accelerations correlated the most, but significantly, this was with the leg starting in the rear block position, not the front position, when considering the block start and the first three strides.

Coaches have long placed the stronger leg on the front block due to its longer contact time at takeoff out of the blocks. This study suggests rear leg takeoff acceleration should instead be the focus. Share on X

It has long been the rule among coaches to place the stronger leg on the front block due to its longer contact time at takeoff out of the blocks. However, this study suggests a low correlation to performance for this limb position compared to the rear leg takeoff acceleration.

Perhaps greater emphasis needs to be placed upon which limb has the greater ability to create horizontal force from a position of more hip extension, as this has the highest correlation with sprint performance to 20 meters.

Finally, the ability to have a short ground contact time at first step was predictive of better 20-meter times and peak acceleration than the technical skill of time to first step. In fact, TTFS had no correlation with sprint performance or takeoff accelerations, leading us to question its importance as a metric in this study. However, a short TTFS is usually associated with a more acute shin angle (angle made by the tibia to the track), which aids the horizontal direction of force application. Perhaps when Plantiga is able to differentiate the horizontal force application on its own (currently in development), this metric may find significance.

Coaches can use these findings to make their block sessions more efficient by focusing on the variables that have the highest correlation with performance: ground contact time of the first step, rear block push-off, and developing takeoff (push) acceleration from that leg.

Since you’re here…
…we have a small favor to ask. More people are reading SimpliFaster than ever, and each week we bring you compelling content from coaches, sport scientists, and physiotherapists who are devoted to building better athletes. Please take a moment to share the articles on social media, engage the authors with questions and comments below, and link to articles when appropriate if you have a blog or participate on forums of related topics. — SF


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Sam Leslie

Sam Leslie has been practicing for over 20 years and working with elite sport for the past 15. His experience extends from AFL to cycling to soccer to athletics, and more. Sam is Head Sports Physiotherapist of the Athletics Victoria and, more recently, Director of Medical Services for the Nitro Athletics. He has been Head Physio for the Australian team at the past three World Universiade Games, and lectures on DMA Clinical Pilates courses, and serves as a Strength Training Consultant to many of Australia’s best coaches and personally to over 20 of Australia’s best athletes.

His practice, MyPhysio Evolution, is regarded as one of the most progressive practices in the world, nurturing the concept that weak links in a kinetic chain, when corrected, not only reduce injury risk but lead to performance benefits. This is the basis of his current research at the University of Melbourne, introducing the concept of Direction Biased Resistance Training.

Find Sam on Instagram @samleslie_sportsphysio.

Reader Interactions

Comments

  1. Russell Cox

    December 9, 2022 at 8:57 pm

    Thank you for this article. Identifying, which components of a skill can contribute the most to over all performance is crucial for effective coaching.
    concentrating on the 1% ers isn’t logical if you are doing it at the expense of components that will give greater performance improvement if corrected first.
    Reasonably priced technology to measure such components in starting will allow coaches to take a more analytical approach coaching.

    Reply
  2. Stephen Gould

    December 10, 2022 at 7:00 pm

    The observation about front push-off v. rear push-off is consistent with previous research I’d come across , showing that while most of the force off the blocks comes from the front leg, most of the variation across athletes comes from the rear leg – i.e., the variation in power of different sprinters for the front, stronger, leg is less than the variation in power for the rear, weaker, leg.

    Reply
  3. Cooper Bell

    November 20, 2023 at 7:49 pm

    Does all of this still apply to a hurdler, I know that we should get out of the blocks like it is a 100 meter dash but the drive phase may have to be cut short, so would this still apply the same just with a shorter drive phase?

    Reply

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