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Canadian performances in Biathlon since 2000

Posted on 2020-06-24 | by rjweise | Leave a Comment on Canadian performances in Biathlon since 2000

By Najtrebor

This article mainly uses data from Senior-level, non-team IBU Biathlon events since 2000, unless indicated otherwise. The data come from the IBU (www.biathlonresults.com) starting with the 2000-2001 season, and going up to (and including) the 2019-2020 season). It combines all race results with Event, Race and Athlete data, although the Athlete data is limited to Senior and IBU Cup level. Unfortunately, the detailed race-data with ski- and shooting times per loop, is only available through PDF-files that so far provide a too-big-a-hurdle to conquer! (Clearly, I wrote this article before this amazing website was re-instated!) But what the current data set provides is ranks, final times and general shooting results.

Participation – all levels and events

While the average number of all participants in IBU events has been very steady in the last 20 years, Canada’s participation has slowly increased, as shown in Figure 1. Although the growth appears to be levelling out in recent years at all three levels, over the 20 year period there is a slow incline, specifically for Junior and Senior events.

Note that the 2019-2020 season was not fully completed due to COVID19, likely leading to lower overall participation numbers.

World Cup Points

The total number of World Cup Points per nation is dependent on the number of participants and how race results are linked to points. But at this level of (semi-)professional sports, to evaluate a nation’s success, the points are usually all that matters. Since the total number of points is more relevant when compared to other nations, the chart below shows national points per season at the Senior level for non-team events, for all nations, with Canada highlighted in red.

Unfortunately, it appears Canada has been in decline in the last couple of seasons.

The chart on the right split some of these nations out so see individual trends and how well nations do and how they are trending. The horizontal dotted line is the base-line (0 points) so the further above the line, the more points nations have scored. It shows that Norway, France and Germany are the main high-scoring nations, Russia has lost touch with the top, and Sweden and Italy are increasing. The other shown nations, including Canada, or relatively stable at this scale.

Canada’s best

The 2019-2020 season was in the middle of the pack of all seasons since 2000, but again note that it was cut short due to COVID19. The 2014-2015 season was our best so far, looking at World Cup points, with very strong performances by Rosanna Crawford and Nathan Smith.

The charts below looks more at the development of Canadian athletes, showing total World Cup points won in individual Senior events on the vertical axis, and the n year of their career on the horizontal axis. The left side shows all athletes to highlight Canadians in the complete picture, where the right side zooms in on Canadians.

Canada’s best seasons: team events

As the last couple of charts, figure 6 shows team events per nation, and how Canada performed since the 2000-2001 season by looking at the average Rank of all seasons (vertical axis) and the number of races started by a nation (horizontal axis).

In contrast to the figure above, the figure below shows the average rank per season as a line starting in ’00-’01 and ending in ’19-’20. As Canada starts in the bottom left (labelled 0001 for season ’00-’01) it starts moving to the right (more races) and up (better average ranking). The upward progression stops after the ’13-’14 season, but the ’19-’20 season shows an improvement again. Hopefully, this can be continued in the next season!

The full pdf of the article above can be downloaded below.

PuckPossessed7_CanadiansDownload
Posted in Statistical analysis | Tagged Canada, Puck Possessed

Contribution from skiing and shooting performance to the overall sprint race performance

Posted on 2020-03-11 | by rjweise | Leave a Comment on Contribution from skiing and shooting performance to the overall sprint race performance

by Najtrebor
Puck Possessed

I got inspired by a research article by H. Luchsinger†, R.K. Talsnes†, J. Kocbach and Ø. Sandbakk from the Norwegian University of Science and Technology in Trondheim, in which they analyzed the performance of 11 elite male biathletes to “investigate the contribution from overall XC skiing performance … and shooting performance to the overall biathlon sprint race performance”, amongst other purposes. 

This issue of Puck Possessed Biathlon duplicates some of their research based on the women’s sprint races starting in the 2017-2018 season until present to see if and how it matches.

Posted in Statistical analysis | Tagged Puck Possessed, shooting, skiing

Ski Speed over the last 14 years

Posted on 2015-12-28 | by real biathlon | Leave a Comment on Ski Speed over the last 14 years

Here’s how the average ski speed of the World Cup top 40 evolved in the last 14 years. Keep in mind I can only approximate the speed through course times and course length; this is not a very precise method (minor mistakes should cancel each other out over the course of a season though). The top 40 athletes should be affected almost equally by possible methodical errors. Thus the speed values might be off by a few decimals, but the comparability season-to-season is still there.

The skiing speed of the men’s top 40 is getting (a lot) faster. Since 2001–02, both the median and the average speed of the top 40 increased by 1.7 km/h. The median skier in 2014–15 (25.8 km/h) was faster than the top skier in 2001–02 (25.1 km/h). All quartiles show a clear upwards trend. Percentage-wise, the ski speed of the median skier improved by about 7.1 %.

Top 40 2001
–02
  2002
–03
  2003
–04
  2004
–05
  2005
–06
  2006
–07
  2007
–08
  2008
–09
  2009
–10
  2010
–11
  2011
–12
  2012
–13
  2013
–14
  2014
–15
   Diff. 
Maximum25.125.324.925.325.225.626.125.725.925.725.926.426.626.2+1.1
1st quartile24.424.524.224.524.524.825.525.325.425.225.325.925.925.9+1.5
Median24.124.424.024.324.324.625.225.125.224.825.125.725.725.8+1.7
3rd quartile23.724.323.624.124.124.525.024.725.024.724.925.425.625.6+1.9
Minimum22.123.622.922.723.523.924.224.424.624.124.425.025.124.9+2.7
Men2001
–02
2002
–03
2003
–04
2004
–05
2005
–06
2006
–07
2007
–08
2008
–09
2009
–10
2010
–11
2011
–12
2012
–13
2013
–14
2014
–15
Diff.
Top 10 avg24.524.724.424.624.624.925.625.325.625.425.426.025.826.0+1.5
Top 20 avg24.324.524.324.524.524.825.425.225.425.225.325.925.825.9+1.6
Top 40 avg24.124.424.024.324.324.725.225.025.224.925.125.725.725.8+1.7
Top 60 avg23.724.323.924.124.224.525.124.825.124.725.025.525.625.6+1.9
All values are average speed in km/h;  Diff.–difference between 2001–02 and 2014–15 seasons

The chart for the women looks distinctively different. The ski speed of the top 40’s median skier increased by 1.0 km/h since 2001–02 (+4.7%). During the first 5 years the speed actually declined. The fastest skier has been pretty stable (between 22.8 km/h and 23.1 km/h) for 6 years in a row (2007-2012), before hitting new all-time highs in the last two seasons.

The big ups and downs in the women’s chart could have reasons beyond pure ski form, e.g. changes in the women’s course difficulty year-to-year, or it could just be a statistical anomaly. I can’t fully explain the curve. It’s possible the courses have slowly been brought in line with the more difficult laps of the men during the first half of the last decade?

Top 40 2001
–02
  2002
–03
  2003
–04
  2004
–05
  2005
–06
  2006
–07
  2007
–08
  2008
–09
  2009
–10
  2010
–11
  2011
–12
  2012
–13
  2013
–14
  2014
–15
   Diff. 
Maximum22.521.922.521.521.621.922.822.822.923.023.023.123.323.6+1.1
1st quartile21.921.221.321.020.921.121.922.322.322.222.122.322.622.8+0.9
Median21.321.021.020.620.620.821.521.922.121.921.821.922.422.3+1.0
3rd quartile21.020.720.720.420.420.721.321.521.821.321.521.822.222.1-1.0
Minimum20.220.219.819.219.819.920.820.820.820.821.021.022.021.7-1.5
Women2001
–02
2002
–03
2003
–04
2004
–05
2005
–06
2006
–07
2007
–08
2008
–09
2009
–10
2010
–11
2011
–12
2012
–13
2013
–14
2014
–15
Diff.
Top 10 avg22.021.321.621.121.021.322.122.522.422.422.422.622.823.0+1.1
Top 20 avg21.821.221.320.920.821.121.922.222.322.322.122.322.622.8+1.0
Top 40 avg21.421.021.020.620.620.921.621.922.021.821.822.022.422.4+1.0
Top 60 avg21.120.720.720.420.420.721.521.721.821.721.621.822.322.3+1.2
All values are average speed in km/h;  Diff.–difference between 2001–02 and 2014–15 seasons

Comparing skiing performances over longer periods is always tricky, certainly more difficult than comparing shooting results. The ski speed is not only affected by the courses (which is a major factor, since World Cup locations change every year), but also by weather. Three or four races during heavy snow fall for example will have a huge impact on the season average.
The increase of ski speed in just 14 years – 4.7% for the women, 7.1% for the men – is substantial. However, a good part of that probably comes down to technology: better working conditions due to waxing trucks, but also general advancements of ski manufacturers and modern waxes will have played its part. The top woman today (23.6 km/h) is just as fast or faster than the slowest male skier before 2006–07 (on easier courses though).

Posted in Long-term trends | Tagged skiing

Shooting Time over the last 14 years

Posted on 2015-12-27 | by real biathlon | Leave a Comment on Shooting Time over the last 14 years

Here’s a closer look at Biathlon World Cup shooting times over the course of the last 14 seasons. The shooting time in biathlon is the time between stepping on and off the shooting mat.

The men’s median shooter needed 32.0 s in 2001–02, 14 years later in 2014–15 only 28.3 s (-3.6 s). If you look at the top 40’s average, the shooting time improved a little less (-3.3 s). In percent, the top 40’s median shooting time improved by an incredible 11.6% in 14 seasons. Interestingly, most of the major improvements happened with the lower ranked athletes; the top 10 are only 1.8s quicker, but the top 40’s slowest shooter was 5.1s slower in 2001–02 compared to last season.

Top 40 2001
–02
  2002
–03
  2003
–04
  2004
–05
  2005
–06
  2006
–07
  2007
–08
  2008
–09
  2009
–10
  2010
–11
  2011
–12
  2012
–13
  2013
–14
  2014
–15
  Diff. 
Maximum39.537.936.737.438.133.934.134.133.333.732.432.531.934.4-5.1
1st quartile33.933.333.334.432.731.432.131.730.630.430.030.029.830.2-3.7
Median32.031.732.032.430.829.830.430.329.829.328.928.828.828.3-3.6
3rd quartile29.630.330.730.729.928.628.628.928.528.027.127.227.827.5-2.1
Minimum26.326.126.928.325.025.824.024.922.724.024.624.523.223.3-3.0
2001
–02
2002
–03
2003
–04
2004
–05
2005
–06
2006
–07
2007
–08
2008
–09
2009
–10
2010
–11
2011
–12
2012
–13
2013
–14
2014
–15
Diff.
Top 10 avg30.531.531.331.829.230.830.630.728.328.828.527.827.728.7-1.8
Top 20 avg30.931.531.632.230.330.029.930.328.928.928.528.228.428.1-2.8
Top 40 avg32.031.831.732.431.030.130.430.229.529.228.528.728.628.7-3.3
Top 60 avg32.432.232.333.031.530.830.530.730.129.729.229.328.829.1-3.3
Diff.–difference between 2001–02 and 2014–15 seasons

On the women’s side, the shooting times improved across the board as well, although generally not by as much (median: -5.6%). The top 40’s median fell by 1.9 s (34.2 s → 32.3 s), the average by 2.7 s (34.8 s → 32.1 s). In 2014–15, the men’s median shooter was 4.0s faster than the women’s. Unlike the men, the women improved almost equally in all categories: the top 10 athletes are 2.4 s quicker, the top 60 athletes 2.9 s quicker than in 2001–02.

Top 40 2001
–02
  2002
–03
  2003
–04
  2004
–05
  2005
–06
  2006
–07
  2007
–08
  2008
–09
  2009
–10
  2010
–11
  2011
–12
  2012
–13
  2013
–14
  2014
–15
  Diff. 
Maximum40.541.444.041.638.938.639.842.738.839.239.538.834.938.0-2.5
1st quartile36.835.936.635.836.435.734.835.034.736.534.934.132.733.1-3.6
Median34.234.134.034.634.533.233.133.632.333.433.032.431.332.3-1.9
3rd quartile32.732.332.633.132.631.931.831.831.231.731.630.430.230.3-2.4
Minimum30.530.130.229.929.328.928.629.927.827.827.625.125.226.8-3.7
2001
–02
2002
–03
2003
–04
2004
–05
2005
–06
2006
–07
2007
–08
2008
–09
2009
–10
2010
–11
2011
–12
2012
–13
2013
–14
2014
–15
Diff.
Top 10 avg34.732.734.435.233.732.533.133.433.033.031.832.231.732.3-2.4
Top 20 avg34.233.434.434.233.533.133.433.532.533.032.332.331.332.3-1.9
Top 40 avg34.834.534.734.734.333.733.433.932.833.933.332.531.332.1-2.7
Top 60 avg35.335.435.135.834.533.934.234.133.233.933.433.031.832.4-2.9
Diff.–difference between 2001–02 and 2014–15 seasons

The gap between genders increased enormously in the last 14 years (for the top 40 from 2.2 s to 4.0 s). However, last season was somewhat of an outlier, the difference was a lot smaller in 2013–14. Ordinarily you wouldn’t expect such a huge gap, because physical strength is probably secondary for shooting pace. I’m not sure if the differences are mainly psychological (risk taking during shooting) or physiological (reaction time for example). The ski times are much closer on the men’s side, maybe gaining just a few second at the range is therefore considered more valuable in the men’s races?

Posted in Long-term trends | Tagged shooting

Shooting percent over the last 14 years

Posted on 2015-12-25 | by real biathlon | Leave a Comment on Shooting percent over the last 14 years

Two years ago I first looked at long-term trends in biathlon statistics, mainly to find out whether today’s athletes are better than previous generations, and how performance levels in the sport are developing in general. I now had another look at it, in order to see if anything had changed during the last two seasons (I haven’t included the currently ongoing season, because partial stats can be misleading). Here are the non-team shooting percentages over the last 14 seasons.
The stats are for the men’s and women’s overall World Cup top 40 (per season). I looked at their non-team percentages, split into quartiles. Quartiles divide the data into four equal groups (of 25 % each), i.e. the grey space between the 1st and 3rd quartile in the chart represents 50 % of the top 40 athletes. Unlike standard statistical methods, such as the average, the use of quartiles (like the median = 2nd quartile) is statistically a more robust method and more resistant to outliers. 

In men’s World cup races, both the top 40’s median and the top 40’s average has improved by more than 3% since 2001–02. Last season was one of the best years shooting-wise, only the maximum (most accurate shooter) is clearly lower than in past years (in the first half of the last decade), but the median and 1st/3rd quartiles were at an all-time high in 2014–15, continuing the upward trend since the early 2000s. The worst shooter of the top 40 hits over 70% since 2009–10, before that the worst shooter always had a hit rate below 70%.

Top 40 2001
–02
  2002
–03
  2003
–04
  2004
–05
  2005
–06
  2006
–07
  2007
–08
  2008
–09
  2009
–10
  2010
–11
  2011
–12
  2012
–13
  2013
–14
  2014
–15
  Diff. 
Maximum91.192.392.792.092.492.188.989.390.090.988.990.691.990.3-0.8
1st quartile85.285.984.786.185.887.084.985.786.086.186.387.387.387.6+2.4
Median81.983.283.382.683.783.181.883.083.784.683.885.285.385.8+3.8
3rd quartile79.080.178.777.778.877.279.679.381.080.881.783.282.983.2+4.2
Minimum69.268.166.567.169.466.968.663.071.975.372.872.875.874.5+5.3
2001
–02
2002
–03
2003
–04
2004
–05
2005
–06
2006
–07
2007
–08
2008
–09
2009
–10
2010
–11
2011
–12
2012
–13
2013
–14
2014
–15
Diff.
Top 10 avg84.282.782.087.784.287.883.985.484.785.485.887.086.886.6+2.4
Top 20 avg83.584.382.284.584.485.883.883.683.684.784.686.585.786.2+2.8
Top 40 avg81.583.081.981.882.482.281.582.183.383.783.784.785.084.9+3.4
Top 60 avg81.081.580.381.182.282.281.281.581.982.682.584.184.383.9+2.9
Diff.–difference between 2001–02 and 2014–15 seasons

The women’s shooting results look very similar to the men’s. For the last 14 seasons they have been creeping higher, although not by quite as much. They improved by more than 2%  (the mean is currently 2.3% higher, the average is 2.5% higher than 2001–02). For 2014–15, the men’s median shooter was slightly better than the women’s (85.8% vs. 84.7%), although there have been seasons where it was the other way around.

Top 40 2001
–02
  2002
–03
  2003
–04
  2004
–05
  2005
–06
  2006
–07
  2007
–08
  2008
–09
  2009
–10
  2010
–11
  2011
–12
  2012
–13
  2013
–14
  2014
–15
  Diff. 
Maximum88.992.489.090.393.391.591.892.691.089.094.395.191.192.6+3.7
1st quartile84.686.183.285.085.286.086.287.186.685.385.287.686.786.9+2.3
Median82.483.080.380.383.082.484.082.185.083.682.285.384.384.7+2.3
3rd quartile78.878.478.478.478.079.581.279.781.981.376.978.980.382.0+3.2
Minimum65.668.264.064.562.866.273.872.975.869.570.871.175.069.8+4.2
2001
–02
2002
–03
2003
–04
2004
–05
2005
–06
2006
–07
2007
–08
2008
–09
2009
–10
2010
–11
2011
–12
2012
–13
2013
–14
2014
–15
Diff.
Top 10 avg83.384.681.281.284.884.185.784.285.983.886.182.985.185.7+2.4
Top 20 avg81.384.381.382.683.783.984.484.485.782.884.483.385.384.8+3.5
Top 40 avg81.382.180.281.181.782.483.783.084.483.081.783.483.983.8+2.5
Top 60 avg80.480.779.479.881.181.482.181.983.681.881.381.782.882.7+2.3
Diff.–difference between 2001–02 and 2014–15 seasons



The shooting results in general continue to improve across the board. It’s impossible to say by how much exactly, results differ a lot depending on what group you look at or what method you use. To put a number on it, I’d say non-team shooting percentages are roughly 2-3% higher now than they were back in 2001–02. It’s unclear how much they can improve further before hitting a ceiling, because unlike ski speed, the hit rate has an absolute limit at 100%.

Posted in Long-term trends | Tagged shooting

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