3 crucial athlete profiles you need to know

That are quietly changing athlete conditioning in sport

• Speed profiles

• Hybrid profiles

• Endurance profiles

10 minutes of profiling

Will change the way you think about training forever…

🧵
Disclaimer

• This is a 1st layer profile

• But effective for large groups with time constraints

• Other measures can be layered on top

• Profile characteristics are middle of the bell curve

• Athlete examples are from observation or public data
Speed Profile (A⬇️)

• Low maximal aerobic speed (MAS)

• High maximal sprinting speed (MSS)

• Large Anaerobic Speed Reserve (ASR)

• Fast twitch fiber dominance

Example: Alfonso Davies ⚽

Another speed based example from Women's 800m:

Hybrid type (B⬇️)

• Moderate maximal aerobic speed

• High maximal sprinting speed

• Moderate anaerobic speed reserve

• Intermediate muscle fiber dominance

Example: Raheem Stirling (England⚽/Man City)
Endurance type (C⬇️)

• High maximal aerobic speed

• Low maximal sprinting speed

• Small anaerobic speed reserve

• Slow twitch fiber dominance

Example: Jordan Henderson (England⚽/Liverpool)
Caveats for interpretation:

• This is a continuum

• Profiles can shift over time

• Training age

• Training event

• Position focus

• Tactical focus

All influence the degree you shift
Here is an example of the nuanced difference in

Training focus between:

• 800m athlete (Hybrid profile)

• 1500m athlete (Endurance profile)

How do you know someone is in a certain group?

Each sport has a physical capacity bar to entry

In elite men’s 800m (⬇️)

• Maximal sprinting speed (MSS): 36 km/hr ( ~10 m/s )

Use benchmarks to guide profiles over time
How can I measure anaerobic speed reserve?

First, maximal sprinting speed

50m sprint

Capture 5 m splits at end of the 50m

Second, maximal aerobic speed

6 minute time trial

Calculated speed (m/s) =distance (m)/time (s)

Example ⬇️

TL:DR Summary (1/2)

• Develop profiles with 50m sprint and 6 minute run

• Speed profile – High speed low endurance

• Hybrid – High speed, moderate endurance

• Endurance – Low speed, high endurance
TL:DR Summary (2/2)

• Profiles are a continuum

• They can shift over time

• Use benchmarks to guide profiles over time

• Each profile requires different conditioning
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More from @Gareth_Sandford

27 Oct
Have you heard soft running surfaces reduce injury risk?

I thought that made sense

But the answer is not that simple

Learn how changing surface impacts:

• Muscles

• Tendons

• Bones

🧵
Disclaimer!

Speed plays a huge role on effect of surface interaction

This is controlled in many studies but not realistic

I.e typically people would run slower on sand than pavement

Here’s what you need to know from @BiomechMax @Brad_Beer chat on @tppshow1 ⬇️
Factors affecting training response to surfaces:

• Running style

• Foot strike

• Ground reaction force profile

• Control of stiffness

• Footwear (for more on this see ⬇️)

Read 20 tweets
4 Oct
Endurance performance focuses on:

• VO2max
• Lactate threshold
• Efficiency/economy

But what else impacts oxygen supply and delivery?

Here are 4 muscle characteristics that may be limiting your endurance performance ⬇️
1. Skeletal muscle fiber type

Slow fibers are for low intensity continuous activity

Fast fibers are made for explosive actions

Endurance athletes have 70-80% slow fibers

Sprinters have 20-30% slow fibers

2. Skeletal muscle fiber size

Fast fiber muscle is larger in size

But has lower aerobic capacity

Slow fiber muscle is smaller in size

But has higher aerobic capacity
Read 10 tweets
8 Sep
What limits maximal muscle power performance?

Lessons from the frontline of Elite Sprint Cycling

Details ⬇️
Most prominent factors:

• Muscle cross-sectional area

• Fiber type composition

But these dynamics shift with specific pedaling rate
At low cycle frequencies:

• Maximal force
• Rate of force development

may be most critical to power production
Read 10 tweets
24 Aug
Great question.

When to use Anaerobic Speed Reserve (ASR), Critical speed (CS) or both?

I’ll tackle this from 2 aspects:

• Training model selection

• Performance estimation

A thread ⬇️
Some sports require athlete strengths along the full speed/power duration relationship (middle distance)

Both CS and ASR model stimulus apply

See training zone example⬇️

Other sports (e.g teams) have more focus on the top part of the speed-duration curve

ASR model stimulus applies more regularly

Read 10 tweets
20 Aug
A thread:

I have had a few questions about #innovation observed at @Tokyo2020 Olympic games.

Some frontline insight ⬇️on

• 'Super spikes'

• Cooling strategies

• Innovation lessons
Super spikes

A common question: ‘more force is better right?’

• Performance upside is high

• Injury risk also high

A spike in load is still a spike in load

A different distribution of forces may cause problems

Is the risk worth it 1 week from Olympic final?

Also...Not everyone can access the shoes (contracts)

Read 12 tweets
18 Aug
A thread:

What is the role of a sport scientist at the Olympic Games?

‘Behave like a curling brush’ @mskoehle

Insights from the frontline at @Tokyo2020 ⬇️

Why a curling brush?

Your job is to smooth the ride but not get in the way of the rock (athlete). Image
What does a 24-hour period between two Olympic finals look like for a sport scientist? Image
Read 8 tweets

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