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Ideas and thoughts that I want to remember and share. Often related to running, triathlon, and other sports
I wore my Forerunner 305 for the CrossFit Open Sectionals WOD 11.2 on Tuesday evening. I knew pacing was going to be important and I wanted to keep track of how long each round took me. So I hit lap after my last box jump each round. This recorded each lap (round) time to look at later, but it also gave me instant feedback on how long that lap took without having to do any math. It just pops up on the screen with the last lap time.
I wore the watch on my left wrist which didn’t bother me for these movements. I didn’t wear it last week because I felt it would be uncomfortable with the snatches. But even if you don’t wear it, you could have an observer hold it, hit lap after each round and call out your last lap time. In this way it provides one more piece of data for validation. If I had been counting rounds in my head and swore I did 13 + some change, it’s easy to go back to the watch and count the rounds and realize that I did 10 + a partial round. The 12th round was me hitting lap before hitting stop after I was done.
For me, this showed that I really started to slow down in round 7 and then picked it up again in round 10 when I had the finish in sight. Based on this information, I’m going to try to keep rounds 7-10 under 1:25 and hopefully complete at least 11 rounds.
If you wanted to go for the win, 56 seconds per round would get you 16 rounds.
Now that the results for the first week are in, we can start to get an idea of the quality and distribution of athletes around the world competing in the games. So what else would we do to kill the time until the next workout is announced besides analyze the numbers. I scraped the data from the games site for the Men’s Division. This could be done for the other divisions but I just started with one because it takes a bit of time to get all the data together.
So we all think our region is the most competitive, but let’s look at the numbers and see if that is really the case. The first and easiest way to answer this question is to rank regions by number of total participants.
Number of Athletes
Rank | Regions | Athletes (men) |
1 | Southeast | 1313 |
2 | Northeast | 1241 |
3 | Mid Atlantic | 1144 |
4 | Southern CA | 1084 |
5 | Southwest | 1048 |
6 | Australia | 954 |
7 | Northern CA | 943 |
8 | Northwest | 938 |
9 | North Central | 934 |
10 | South Central | 909 |
11 | Europe | 851 |
12 | Central East | 775 |
13 | Canada East | 480 |
14 | Canada West | 452 |
15 | Latin America | 112 |
16 | Asia | 83 |
17 | Africa | 75 |
| Grand Total | 13336 |
This shows that the East Coast (US) is the best represented. This is a bit surprising to me given that the first affiliates were in California and I generally thought of CrossFit as growing out from the West Coast. I didn’t look at the total populations of each region but it’s possible that HQ made the same assumption as me and made the East Coast regions each cover a bigger population area than the regions in the West. In any case, the US divisions seem to be somewhat evenly sized, between 775 and 1313 athletes in each one.
But that doesn’t tell us anything about how good the athletes from each region are. To get an idea of how strong a region is as a whole, we can look at the median score from the first WOD.
Median Score
This shows the score of the person with half the scores above his and half the scores below his in each region.
Rank | Regions | Median Score |
1 | Canada East | 253 |
2 | Canada West | 249 |
3 | Southern CA | 240 |
4 | Mid Atlantic | 238 |
5 | Southwest | 237 |
6 | Asia | 235 |
7 | North Central | 235 |
8 | Northwest | 234 |
9 | South Central | 233 |
10 | Northern CA | 233 |
11 | Northeast | 231 |
12 | Southeast | 225 |
13 | Europe | 225 |
14 | Australia | 224 |
15 | Central East | 220 |
16 | Latin America | 219 |
17 | Africa | 166 |
Now this is getting interesting. Southeast and Southwest were at the top of the first list but drop to below the middle when we sort by the median score. This would indicate that those regions have more “average” CrossFitters participating in the open sectionals. While the men (remember, this is only looking at the men’s division) competing from Canada are likely to score higher than the average CrossFitter from another region.
But that still doesn’t tell us anything about what it takes to qualify for the next round.
Qualifying scores
To remind you, the top 60 men from each region advance to the Regional competitions held in May or June. This is obviously preliminary since we’ve only done one workout, but it gives us enough data to see what score you would have needed to advance if the sectionals was only one (err two) week(s) long.
Rank | Regions | Qualifying score | Median Score |
1 | North Central | 349 | 235 |
2 | Southwest | 345 | 237 |
3 | Southern CA | 345 | 240 |
4 | Northeast | 343 | 231 |
5 | Southeast | 340 | 225 |
6 | spanspanspanspan |
Now that the results for the first week are in, we can start to get an idea of the quality and distribution of athletes around the world competing in the games. So what else would we do to kill the time until the next workout is announced besides analyze the numbers. I scraped the data from the games site for the Men’s Division. This could be done for the other divisions but I just started with one because it takes a bit of time to get all the data together.
So we all think our region is the most competitive, but let’s look at the numbers and see if that is really the case. The first and easiest way to answer this question is to rank regions by number of total participants.
Number of Athletes
Rank | Regions | Athletes (men) |
1 | Southeast | 1313 |
2 | Northeast | 1241 |
3 | Mid Atlantic | 1144 |
4 | Southern CA | 1084 |
5 | Southwest | 1048 |
6 | Australia | 954 |
7 | Northern CA | 943 |
8 | Northwest | 938 |
9 | North Central | 934 |
10 | South Central | 909 |
11 | Europe | 851 |
12 | Central East | 775 |
13 | Canada East | 480 |
14 | Canada West | 452 |
15 | Latin America | 112 |
16 | Asia | 83 |
17 | Africa | 75 |
| Grand Total | 13336 |
This shows that the East Coast (US) is the best represented. This is a bit surprising to me given that the first affiliates were in California and I generally thought of CrossFit as growing out from the West Coast. I didn’t look at the total populations of each region but it’s possible that HQ made the same assumption as me and made the East Coast regions each cover a bigger population area than the regions in the West. In any case, the US divisions seem to be somewhat evenly sized, between 775 and 1313 athletes in each one.
But that doesn’t tell us anything about how good the athletes from each region are. To get an idea of how strong a region is as a whole, we can look at the median score from the first WOD.
Median Score
This shows the score of the person with half the scores above his and half the scores below his in each region.
Rank | Regions | Median Score |
1 | Canada East | 253 |
2 | Canada West | 249 |
3 | Southern CA | 240 |
4 | Mid Atlantic | 238 |
5 | Southwest | 237 |
6 | Asia | 235 |
7 | North Central | 235 |
8 | Northwest | 234 |
9 | South Central | 233 |
10 | Northern CA | 233 |
11 | Northeast | 231 |
12 | Southeast | 225 |
13 | Europe | 225 |
14 | Australia |
Here's my run from today:
http://connect.garmin.com/activity/73552849
Scroll down to the charts section and here's what to look at: (blue – warmup and cooldown, black- build or descend, red – 3 minutes at 5K pace)
When you guys do this workout, the shape of those graphs should look the same for everyone. I'll analyze your run or bike activities if you upload them and share them with me. If you have a garmin watch, http://connect.garmin.com allows you to upload and share them for free. There are plenty of other websites as well.
The spike in HR around 5 minutes is just because it reads high when it doesn't have a good connection with my skin. Once I sweated enough, the connection got better and read correctly. It messes up some avg numbers but you can infer a straight line through the messed up area since my pace didn't significantly change.
Reid
Reid Weber
Software Engineer, Global Technical Architecture
International Game Technology
Office: +1 775.448.0492
Mobile: +1 775.233.5859
twitter: @rweber