2013 Gatineau Loppet Report #2 - 55km classic Gloppet Analytical Report
By: Steven Paradine (2013/02/19)
This report will focus on numbers to start, and specifically how I used those numbers to evaluate my race. I have entered the classic race five times in the last ten years and here are the some stats for those years
Year |
Distance (km) |
Place |
Time |
Speed (km/hr) |
Winning Time |
Speed % of Winner |
Phil Shaw’s Time |
Speed % of Phil Shaw |
2013 | 55 | 51st | 3:27:46 |
15.9 |
2:41:52 |
77.9% |
2:55:40 | 84.5% |
2009 | 53 | 61st | 3:06:45 |
17.0 |
2:25:27 | 77.9% | 2:25:30 | 77.9% |
2008 | 53 | 44th | 3:33:13 |
14.9 |
2:43:06 |
76.5% |
2:49:54 | 79.7% |
2007 | 53 | 71st | 3:51:14 |
13.8 |
2:53:59 |
75.2% |
2:53:59 | 75.2% |
2006 | 51 | 61st | 3:18:10 |
15.7 |
2:30:47 |
76.1% |
2:30:47 | 76.1% |
So, which year is my best race?
Placing: By placing 2008 looks to be significantly the best race. However, there can be different competitors each year and 2013 was an especially competitive field as the race was sanctioned by Cross-Country Canada. So placing isn’t the best measure of performance for those of us not at the front of the race.
Time: By time 2009 looks to be the best significantly the best race. However in cross-country skiing each race is completely different due to snow speed and conditions, temperature and race course changes and distance. So time, isn’t the best way to determine the best race.
Speed: By speed 2009 again looks to be significantly the best race. It evens out the different race distances, however once again the snow speed and conditions, temperature and race course make it difficult to compare the races.
Percent Speed of Winner: By this measure 2103 and 2009 are tied as the best races. This eliminates snow conditions, temperature, race course and distances issues. However, as the winner could be a much faster person in different years this isn’t a perfect measure either.
Calculation: Winning time / my time * 100
Percent Speed of Phil Shaw: By this measure 2013 is significantly the best race. It is ~4.8% better than 2008 (84.5 vs 79.7), 6.6% better than 2008 and 9.3% better than 2007. The only issue with using this is that Phil may have had good years and bad years racing himself. But this is a good start.
Calculation: Phil’s time / my time * 100
Percent Speed of Other Skiers:
I then compared my percentage speed with other racers who have raced in the same races. This method of comparing races, by comparing racers eliminates the variability in comparing times, speed, placing or comparison against only one other person.My speed relative to other skiers
Skier |
2013 My % speed |
2009 My % speed |
2008 My % speed |
2007 My % speed |
2006 My % speed |
Phil Shaw | 84.5 | 77.9 | 79.7 | 75.2 | 76.1 |
Skier 1 | 96.0 | 87.2 | 91.4 |
84.3 |
|
Skier 2 | 96.5 | 82.6 | |||
Skier 3 | 96.9 | 96.2 | |||
Skier 4 | 101.7 | 88.1 | |||
Skier 5 | 91.7 | 83.7 | 79.2 | 79.4 | |
Skier 6 | 87.2 | 81.4 | 76.7 | ||
Skier 7 | 93.6 | 86.0 | 84.1 | 84.6 | |
Skier 8 | 101.4 | 91.9 | 94.2 | ||
Skier 9 | 101.9 | 89.6 | 93.1 |
85.0 |
84.7 |
Looking at the table above you will notice that my percentage is higher in 2013 than any other year. The table below lists the improvement. E.g. Phil Shaw in 2013 vs 2009 is 84.5-77.9=6.6
My Improvement in 2013 relative to other skiers in previous years
Skier |
Improvement from 2009 to 2013 |
Improvement from 2008 to 2013 |
Improvement from 2007 to 2013 |
Improvement from 2006 to 2013 |
Phil Shaw | 6.6 | 4.9 | 9.3 | 8.5 |
Skier 1 | 8.8 | 4.6 | 11.7 | |
Skier 2 | 13.9 | |||
Skier 3 | 0.7 | |||
Skier 4 | 13.5 | |||
Skier 5 | 8.0 | 12.5 | 12.3 | |
Skier 6 | 5.8 | 10.5 | ||
Skier 7 | 7.5 | 9.5 | 8.9 | |
Skier 8 | 9.4 | 7.2 | ||
Skier 9 | 12.2 | 8.7 | 16.8 | 17.2 |
Average improvement |
9.2 |
6.8 |
12.0 |
11.5 |
2013 is ~7% better than 2008 and a whopping 12% better than 2007.
Let us make a comparison to demonstrate the improvement. I run 5km in ~ 20 minutes. If I improve by 6.8% I would drop down to 18:39, and if I improved by 12% I would drop to 17:36!!! Those are huge improvements.