June 22nd, 2011
Mark Croonen
All the data for these stats came from the UCI Pro-Tour website http://www.uciprotour.com.
The term “Neo” is equivalent to a rookie, I guess it is a Euro thing.
The age format used below is year:days and the age is taken as of 1 Jan of each year
Year |
Total Riders |
Neo |
No: of teams |
Avg Age |
Avg age of Neo |
Biggest Team |
Smallest Team |
2006 |
553 |
61 |
20 |
27:255 |
21:262 |
30 |
24 |
2007 |
558 |
56 |
20 |
27:256 |
21:215 |
30 |
25 |
2008 |
499 |
48 |
18 |
27:204 |
21:295 |
30 |
24 |
2009 |
476 |
38 |
17 |
27:204 |
21:321 |
30 |
22 |
2010 |
471 |
38 |
18 |
27:248 |
21:120 |
28 |
24 |
2011 |
489 |
43 |
18 |
27:361 |
21:229 |
30 |
24 |
Oldest Rider |
Birthdate |
Age |
Year |
Youngest Rider |
Birth date |
Age |
EKIMOV Viatcheslaw – RUS |
04/02/1966 |
39:331 |
2006 |
CAPECCHI Eros – ITA |
13/06/1986 |
19:200 |
BROCHARD Laurent – FRA |
26/03/1968 |
38:278 |
2007 |
VINTHER Troels Ronning – DEN |
24/02/1987 |
19:311 |
BALDATO Fabio – ITA |
13/06/1968 |
39:200 |
2008 |
BARLA Luca – ITA |
29/09/1987 |
20:93 |
NOE Andrea – ITA |
15/01/1969 |
39:350 |
2009 |
BELLIS Jonathan – GBR |
16/08/1988 |
20:136 |
KNAVEN Servais – NED |
06/03/1971 |
38:299 |
2010 |
PINOT Thibaut – FRA |
29/05/1990 |
19:214 |
VOIGT Jens – GER |
17/09/1971 |
39:105 |
2011 |
VAN KEIRBULCK Guillaume – BEL |
14/02/1991 |
19:321 |
The table below shows the countries which are doing better than others based on their population, in other words, which nations are punching above the weight. It shows how many pro riders they have as a percentage of the population (The percentage is per 1,000,000 people of the population.). I only included countries that had at least three pro riders otherwise the percentages became a little too random.
2006 |
|
2007 |
|
2008 |
|
2009 |
|
2010 |
|
|
|
|
Country |
Riders |
% |
|
Country |
Riders |
% |
|
Country |
Riders |
% |
|
Country |
Riders |
% |
|
Country |
Riders |
% |
|
Country |
Riders |
% |
LUX |
4 |
8.431% |
ó |
LUX |
4 |
8.329% |
ó |
LUX |
4 |
8.329% |
ó |
LUX |
3 |
6.100% |
ó |
LUX |
5 |
10.167% |
ó |
LUX |
4 |
8.134 |
BEL |
43 |
4.143% |
ó |
BEL |
54 |
5.196% |
ó |
BEL |
44 |
4.234% |
ó |
BEL |
43 |
4.129% |
ó |
BEL |
46 |
4.417% |
ó |
BEL |
49 |
4.705 |
SUI |
24 |
3.190% |
ñ |
DEN |
14 |
2.560% |
² |
EST |
4 |
3.040% |
ñ |
DEN |
14 |
2.545% |
ñ |
SLO |
6 |
2.991% |
ó |
SLO |
7 |
3.490 |
ESP |
104 |
2.574% |
ò |
SUI |
19 |
2.515% |
ó |
SUI |
16 |
2.118% |
ò |
EST |
3 |
2.309% |
ò |
DEN |
16 |
2.909% |
ó |
DEN |
15 |
2.727 |
SLO |
5 |
2.487% |
ó |
SLO |
5 |
2.488% |
ó |
SLO |
4 |
1.991% |
ó |
SLO |
4 |
1.994% |
ñ |
ESP |
68 |
1.678% |
ñ |
NED |
34 |
2.034 |
DEN |
12 |
2.202% |
ò |
ESP |
85 |
2.101% |
ó |
ESP |
77 |
1.904% |
ñ |
NED |
30 |
1.795% |
ó |
NED |
27 |
1.615% |
ñ |
SUI |
13 |
1.710 |
NED |
28 |
1.698% |
ó |
NED |
32 |
1.931% |
ó |
NED |
28 |
1.690% |
ò |
ESP |
70 |
1.727% |
ñ |
NZL |
5 |
1.187% |
ò |
ESP |
60 |
1.481 |
FRA |
97 |
1.593% |
ó |
FRA |
98 |
1.538% |
ò |
DEN |
9 |
1.646% |
ò |
SUI |
11 |
1.447% |
ñ |
AUS |
24 |
1.129% |
ó |
AUS |
28 |
1.317 |
ITA |
84 |
1.445% |
ó |
ITA |
79 |
1.359% |
ò |
FRA |
103 |
1.616% |
ó |
FRA |
86 |
1.343% |
ò |
SUI |
8 |
1.052% |
ñ |
NOR |
6 |
1.287 |
AUS |
19 |
0.938% |
ó |
AUS |
24 |
1.175% |
ò |
ITA |
67 |
1.152% |
ó |
ITA |
54 |
0.929% |
ó |
ITA |
60 |
1.032% |
ó |
ITA |
69 |
1.187 |
AUT |
6 |
0.732% |
ñ |
KAZ |
11 |
0.720% |
ñ |
NOR |
4 |
0.864% |
ñ |
AUS |
17 |
0.800% |
ñ |
KAZ |
14 |
0.909% |
ò |
NZL |
5 |
1.187 |
IRL |
3 |
0.739% |
² |
NZL |
3 |
0.729% |
ò |
AUS |
17 |
0.832% |
² |
NZL |
3 |
0.712% |
ò |
FRA |
49 |
0.765% |
² |
IRL |
4 |
0.952 |
NOR |
3 |
0.651% |
ñ |
SWE |
6 |
0.664% |
ò |
KAZ |
10 |
0.654% |
ñ |
SWE |
6 |
0.662% |
² |
NOR |
3 |
0.644% |
ò |
KAZ |
14 |
0.909 |
FIN |
3 |
0.573% |
ò |
NOR |
3 |
0.648% |
² |
SVK |
3 |
0.551% |
ò |
KAZ |
10 |
0.649% |
ñ |
BLR |
6 |
0.622% |
² |
LTU |
3 |
0.844 |
GER |
41 |
0.497% |
ó |
GER |
41 |
0.498% |
ñ |
AUT |
4 |
0.488% |
ñ |
BLR |
5 |
0.518% |
ñ |
AUT |
5 |
0.609% |
ñ |
SVK |
4 |
0.732 |
SWE |
4 |
0.444% |
ò |
AUT |
4 |
0.488% |
ò |
GER |
39 |
0.473% |
ò |
AUT |
4 |
0.487% |
² |
SVK |
3 |
0.549% |
ñ |
POR |
6 |
0.560 |
KAZ |
5 |
0.328% |
ñ |
CZE |
3 |
3.805% |
² |
BLR |
4 |
0.411% |
ò |
GER |
28 |
0.340% |
ò |
SWE |
4 |
0.442% |
ò |
FRA |
32 |
0.500 |
CZE |
3 |
3.825% |
ñ |
UKR |
8 |
0.173% |
ò |
SWE |
3 |
0.332% |
ñ |
RUS |
22 |
0.157% |
² |
POR |
4 |
0.374% |
ò |
BLR |
4 |
0.415 |
POR |
3 |
0.283% |
ñ |
COL |
6 |
0.135% |
ò |
CZE |
3 |
3.805% |
² |
CAN |
4 |
0.119% |
ò |
GER |
29 |
0.352% |
ò |
AUT |
3 |
0.365 |
UKR |
7 |
0.150% |
ñ |
GBR |
7 |
0.231% |
ò |
UKR |
7 |
0.151% |
ñ |
GBR |
6 |
0.098% |
ó |
GBR |
13 |
0.213% |
ò |
SWE |
3 |
0.331 |
COL |
5 |
0.115% |
ñ |
RUS |
12 |
0.085% |
ò |
COL |
4 |
0.090% |
ó |
COL |
4 |
0.088% |
ò |
RUS |
20 |
0.143% |
² |
CZE |
3 |
0.294 |
CAN |
3 |
0.091% |
ñ |
POL |
3 |
0.078% |
ò |
GBR |
5 |
0.165% |
ò |
UKR |
4 |
0.065% |
ñ |
POL |
5 |
0.130% |
ò |
GER |
22 |
0.267 |
POL |
3 |
0.078% |
ñ |
USA |
14 |
4.046% |
ò |
RUS |
11 |
0.078% |
² |
POL |
3 |
0.078% |
ò |
CAN |
4 |
0.119% |
ò |
GBR |
16 |
0.262 |
RUS |
11 |
0.077% |
|
|
|
|
ò |
USA |
9 |
2.601% |
ó |
USA |
19 |
5.437% |
ò |
UKR |
5 |
0.082% |
ò |
POL |
8 |
0.208 |
GBR |
4 |
0.142% |
|
|
|
|
|
|
|
|
|
|
|
|
ò |
COL |
3 |
0.069% |
ò |
UKR |
9 |
0.197 |
USA |
15 |
4.371% |
|
|
|
|
|
|
|
|
|
|
|
|
² |
RSA |
3 |
0.061% |
ò |
RUS |
20 |
0.143 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
ò |
USA |
18 |
5.151% |
ó |
USA |
28 |
0.091 |
|
Details of the country codes can be found here http://en.wikipedia.org/wiki/List_of_IOC_country_codes
Sorry the traffic light trend arrows only work in a browser that supports wingding fonts. i.e. IE9 but you should bet the idea of the trend from the arrows
Here are the same stats but in alphabetical order.
|
2006 |
|
|
2007 |
|
|
2008 |
|
|
2009 |
|
|
2010 |
|
|
2011 |
|
|
Country |
Riders |
% |
Rank |
Riders |
% |
Rank |
Riders |
% |
Rank |
Riders |
% |
Rank |
Riders |
% |
Rank |
Riders |
% |
Rank |
Argentina |
0 |
0.000 |
38 |
1 |
0.025 |
36 |
1 |
0.025 |
36 |
1 |
0.024 |
39 |
2 |
0.049 |
37 |
2 |
0.049 |
36 |
Australia |
19 |
0.938 |
11 |
24 |
1.175 |
11 |
17 |
0.832 |
12 |
17 |
0.800 |
11 |
24 |
1.129 |
8 |
28 |
1.317 |
8 |
Austria |
6 |
0.732 |
13 |
4 |
0.488 |
17 |
4 |
0.488 |
15 |
4 |
0.487 |
16 |
5 |
0.609 |
17 |
3 |
0.365 |
23 |
Belarus |
1 |
0.097 |
28 |
2 |
0.206 |
24 |
4 |
0.411 |
20 |
5 |
0.518 |
15 |
6 |
0.622 |
16 |
4 |
0.415 |
21 |
Belgium |
43 |
4.143 |
2 |
54 |
5.196 |
2 |
44 |
4.234 |
3 |
43 |
4.129 |
2 |
46 |
4.417 |
2 |
49 |
4.705 |
2 |
Brazil |
1 |
0.005 |
37 |
2 |
0.011 |
38 |
2 |
0.011 |
37 |
1 |
0.005 |
41 |
1 |
0.005 |
39 |
1 |
0.005 |
41 |
Canada |
3 |
0.091 |
29 |
1 |
0.030 |
35 |
1 |
0.030 |
34 |
4 |
0.119 |
31 |
4 |
0.119 |
33 |
2 |
0.060 |
35 |
China |
0 |
0.000 |
38 |
1 |
0.001 |
40 |
0 |
0.000 |
39 |
0 |
0.000 |
42 |
1 |
0.001 |
40 |
1 |
0.001 |
42 |
Columbia |
5 |
0.115 |
26 |
6 |
0.135 |
27 |
4 |
0.090 |
30 |
4 |
0.088 |
34 |
3 |
0.069 |
35 |
2 |
0.046 |
37 |
Costa Rica |
0 |
0.000 |
38 |
0 |
0.000 |
41 |
0 |
0.000 |
39 |
1 |
0.235 |
25 |
1 |
0.235 |
26 |
1 |
0.235 |
28 |
Croatia |
1 |
0.222 |
23 |
1 |
0.223 |
23 |
1 |
0.223 |
24 |
1 |
0.223 |
27 |
1 |
0.223 |
28 |
1 |
0.223 |
30 |
Cuba |
0 |
0.000 |
38 |
0 |
0.000 |
41 |
0 |
0.000 |
39 |
1 |
0.087 |
35 |
0 |
0.000 |
41 |
0 |
0.000 |
43 |
Czech Republic |
3 |
0.293 |
20 |
3 |
0.293 |
21 |
3 |
0.293 |
23 |
2 |
0.196 |
28 |
2 |
0.196 |
30 |
3 |
0.294 |
25 |
Denmark |
12 |
2.202 |
6 |
14 |
2.560 |
3 |
9 |
1.646 |
8 |
14 |
2.545 |
3 |
16 |
2.909 |
4 |
15 |
2.727 |
4 |
Estonia |
2 |
1.510 |
9 |
2 |
1.520 |
9 |
4 |
3.040 |
4 |
3 |
2.309 |
4 |
1 |
0.770 |
13 |
1 |
0.770 |
15 |
Finland |
3 |
0.573 |
15 |
2 |
0.382 |
20 |
2 |
0.382 |
21 |
2 |
0.381 |
20 |
2 |
0.381 |
21 |
2 |
0.381 |
22 |
France |
97 |
1.593 |
8 |
98 |
1.538 |
8 |
103 |
1.616 |
9 |
86 |
1.343 |
9 |
49 |
0.765 |
14 |
32 |
0.500 |
18 |
Germany |
41 |
0.497 |
17 |
41 |
0.498 |
16 |
39 |
0.473 |
17 |
28 |
0.340 |
22 |
29 |
0.352 |
23 |
22 |
0.267 |
26 |
Hungary |
1 |
0.100 |
27 |
1 |
0.100 |
29 |
1 |
0.100 |
28 |
1 |
0.101 |
32 |
0 |
0.000 |
41 |
1 |
0.101 |
34 |
Ireland |
3 |
0.739 |
12 |
2 |
0.487 |
18 |
2 |
0.487 |
16 |
2 |
0.476 |
17 |
2 |
0.476 |
19 |
4 |
0.952 |
12 |
Italy |
84 |
1.445 |
10 |
79 |
1.359 |
10 |
67 |
1.152 |
11 |
54 |
0.929 |
10 |
60 |
1.032 |
10 |
69 |
1.187 |
10 |
Japan |
1 |
0.008 |
36 |
1 |
0.008 |
39 |
0 |
0.000 |
39 |
1 |
0.008 |
40 |
1 |
0.008 |
38 |
1 |
0.008 |
40 |
Kazakhstan |
5 |
0.328 |
19 |
11 |
0.720 |
13 |
10 |
0.654 |
13 |
10 |
0.649 |
14 |
14 |
0.909 |
11 |
14 |
0.909 |
13 |
Latvia |
0 |
0.000 |
38 |
1 |
0.443 |
19 |
1 |
0.443 |
18 |
1 |
0.448 |
18 |
2 |
0.896 |
12 |
1 |
0.448 |
20 |
Lithuania |
2 |
0.558 |
16 |
1 |
0.280 |
22 |
2 |
0.559 |
14 |
1 |
0.281 |
24 |
1 |
0.281 |
25 |
3 |
0.844 |
14 |
Luxembourg |
4 |
8.431 |
1 |
4 |
8.329 |
1 |
4 |
8.329 |
1 |
3 |
6.100 |
1 |
5 |
10.167 |
1 |
4 |
8.134 |
1 |
Moldova |
0 |
0.000 |
38 |
0 |
0.000 |
41 |
0 |
0.000 |
39 |
1 |
0.231 |
26 |
1 |
0.231 |
27 |
1 |
0.231 |
29 |
Netherlands |
28 |
1.698 |
7 |
32 |
1.931 |
7 |
1 |
0.060 |
32 |
30 |
1.795 |
6 |
27 |
1.615 |
6 |
34 |
2.034 |
5 |
New Zealand |
1 |
0.245 |
22 |
3 |
0.729 |
12 |
28 |
6.803 |
2 |
3 |
0.712 |
12 |
5 |
1.187 |
7 |
5 |
1.187 |
11 |
Norway |
3 |
0.651 |
14 |
3 |
0.648 |
15 |
2 |
0.432 |
19 |
2 |
0.429 |
19 |
3 |
0.644 |
15 |
6 |
1.287 |
9 |
Poland |
3 |
0.078 |
30 |
3 |
0.078 |
32 |
4 |
0.104 |
27 |
3 |
0.078 |
36 |
5 |
0.130 |
32 |
8 |
0.208 |
31 |
Portugal |
3 |
0.283 |
21 |
1 |
0.094 |
30 |
2 |
0.188 |
25 |
2 |
0.187 |
29 |
4 |
0.374 |
22 |
6 |
0.560 |
17 |
Russia |
11 |
0.077 |
31 |
12 |
0.085 |
31 |
1 |
0.007 |
38 |
22 |
0.157 |
30 |
20 |
0.143 |
31 |
20 |
0.143 |
33 |
Slovakia |
1 |
0.184 |
24 |
1 |
0.184 |
25 |
11 |
2.019 |
6 |
2 |
0.366 |
21 |
3 |
0.549 |
18 |
4 |
0.732 |
16 |
Slovenia |
5 |
2.487 |
5 |
5 |
2.488 |
5 |
3 |
1.493 |
10 |
4 |
1.994 |
5 |
6 |
2.991 |
3 |
7 |
3.490 |
3 |
South Africa |
2 |
0.045 |
34 |
1 |
0.023 |
37 |
4 |
0.091 |
29 |
0 |
0.000 |
42 |
3 |
0.061 |
36 |
2 |
0.041 |
38 |
Spain |
104 |
2.574 |
4 |
85 |
2.101 |
6 |
77 |
1.904 |
7 |
70 |
1.727 |
7 |
68 |
1.678 |
5 |
60 |
1.481 |
7 |
Sweden |
4 |
0.444 |
18 |
6 |
0.664 |
14 |
3 |
0.332 |
22 |
6 |
0.662 |
13 |
4 |
0.442 |
20 |
3 |
0.331 |
24 |
Switzerland |
24 |
3.190 |
3 |
19 |
2.515 |
4 |
16 |
2.118 |
5 |
11 |
1.447 |
8 |
8 |
1.052 |
9 |
13 |
1.710 |
6 |
Ukraine |
7 |
0.150 |
25 |
8 |
0.173 |
26 |
7 |
0.151 |
26 |
4 |
0.065 |
37 |
5 |
0.082 |
34 |
9 |
0.147 |
32 |
United Kingdom |
4 |
0.066 |
32 |
7 |
0.115 |
28 |
5 |
0.082 |
31 |
6 |
0.098 |
33 |
13 |
0.213 |
29 |
16 |
0.262 |
27 |
United States |
15 |
0.050 |
33 |
14 |
0.046 |
34 |
9 |
0.030 |
35 |
19 |
0.311 |
23 |
18 |
0.295 |
24 |
28 |
0.458 |
19 |
Uzbekistan |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
0.036 |
39 |
Venezuela |
1 |
0.039 |
35 |
2 |
0.077 |
33 |
1 |
0.038 |
33 |
1 |
0.037 |
38 |
0 |
0.000 |
41 |
0 |
0.000 |
43 |
Next will be something similar but focusing on the Tour de France riders.
Posted in General Bike News, UCI Pro tour
Tags: AG2R La Mondiale, BMC, EUSKALTEL-EUSKADI, GARMIN-CERVELO, HTC-HIGHROAD, KATUSHA, LAMPRE - ISD, LEOPARD TREK, LIQUIGAS-CANNONDALE, MOVISTAR, OMEGA PHARMA-LOTTO, PRO TEAM ASTANA, QUICKSTEP, RABOBANK, RADIOSHACK, Road Racing, SAXO BANK SUNGARD, SKY PROCYCLING, Statistics, UCI Pro tour, VACANSOLEIL-DCM PRO
September 24th, 2009
Mark Croonen
For those of you lucky enough or mad enough to be going to the 2009 National Masters Road Championships here is a break down of the competitors for the events and the grades. For those you who are from the flatter parts of Australia you are not going love the course for the Road Race. Come to think of it the ITT course isn’t much better.
|
Road |
|
Crit |
|
ITT |
Total |
303 |
|
226 |
|
181 |
ELITE |
50 |
|
34 |
|
32 |
MMAS1 |
5 |
|
3 |
|
2 |
MMAS2 |
40 |
|
28 |
|
18 |
MMAS3 |
36 |
|
25 |
|
23 |
MMAS4 |
38 |
|
29 |
|
19 |
MMAS5 |
30 |
|
17 |
|
19 |
MMAS6 |
32 |
|
25 |
|
17 |
MMAS7 |
20 |
|
16 |
|
9 |
MMAS8 |
13 |
|
8 |
|
9 |
MMAS9 |
7 |
|
7 |
|
5 |
WMAS1 |
2 |
|
2 |
|
2 |
WMAS2 |
7 |
|
8 |
|
9 |
WMAS3 |
4 |
|
3 |
|
2 |
WMAS4 |
8 |
|
8 |
|
3 |
WMAS5 |
7 |
|
9 |
|
7 |
WMAS6 |
2 |
|
2 |
|
3 |
WMAS7 |
2 |
|
2 |
|
2 |
Top Ten Clubs for each event |
Vikings |
17 |
Vikings |
23 |
Canberra |
17 |
Penrith Panthers |
15 |
Canberra |
17 |
Vikings |
16 |
Canberra |
14 |
Northern Sydney |
11 |
Illawarra |
7 |
Illawarra |
11 |
Penrith Panthers |
11 |
Bicisport |
6 |
Northern Sydney |
11 |
Sutherland Shire |
9 |
Hunter District |
6 |
Hunter District |
9 |
Hunter District |
8 |
Northern Sydney |
6 |
Parramatta |
9 |
Illawarra |
8 |
Nowra Velo Club |
6 |
Carnegie Caulfield |
7 |
Bicisport |
7 |
Penrith Panthers |
6 |
Manly Warringah |
7 |
Parramatta |
7 |
Randwick Botany |
6 |
Peloton Sports Inc. |
7 |
Peloton Sports Inc. |
7 |
Sutherland Shire |
6 |
Sutherland Shire |
7 |
|
|
|
|
These numbers were taken from the Cycling Australia site.
Posted in General Bike News, Races
Tags: 2009 National Masters Road Championships, Canberra, Masters Racing, Road Racing