While I’m running hot on the stats thing, here is some stuff I’ve put together on the UCI Pro-Tour teams.
All this data was taken from the UCI Pro-Tour website http://www.uciprotour.com. Some of the data was pretty dirty, especially 2007 so I did the best I could to clean it up.
BTW the term “Neo” is equivalent to a rookie, I guess it is a Euro thing.
| Year | Total Riders | Neo | No: of teams | Avg Age | Avg age of Neo | Biggest Team | Smallest Team |
| 2006 | 553 | 61 | 20 | 27.70 | 21.72 | 30 | 24 |
| 2007 | 558 | 56 | 20 | 27.75 | 21.59 | 30 | 25 |
| 2008 | 499 | 48 | 18 | 27.56 | 21.81 | 30 | 24 |
| 2009 | 476 | 38 | 17 | 27.56 | 21.88 | 30 | 22 |
| 2010 | 471 | 38 | 18 | 27.68 | 21.33 | 28 | 24 |
The age format used below is year:days
|
| Year | Youngest Rider | Birth date | Age |
| 2006 | CAPECCHI Eros ITA | 13/06/1986 | 19:208 |
| 2007 | VINTHER Troels Ronning DEN | 24/02/1987 | 19:317 |
| 2008 | BARLA Luca ITA | 29/09/1987 | 20:98 |
| 2009 | BELLIS Jonathan GBR | 16/08/1988 | 20:142 |
| 2010 | PINOT Thibaut FRA | 29/05/1990 | 19:222 |
The table below shows the how countries are represented per the national population. The idea was to show the countries which are doing better than others based on their population. So it shows how many pro riders they have/ the percentage by population (The percentage is per 1,000,000 people of the population.) / and their rank according to the percentage of population.
Thanks to the Schleck brothers Luxembourg is the world’s number one country. Australia does pretty well but it looks like we’ve been beaten by New Zealand in 2010, damm those Kiwis 
|
2006
|
|
|
2007
|
|
|
2008
|
|
|
2009
|
|
|
2010
|
|
|
|
|
Country
|
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
|
|
0.049
|
37
|
|
Australia
|
19
|
0.938
|
11
|
24
|
1.175
|
11
|
17
|
0.832
|
12
|
17
|
0.800
|
11
|
24
|
1.129
|
8
|
|
Austria
|
6
|
0.732
|
13
|
4
|
0.488
|
17
|
4
|
0.488
|
15
|
4
|
0.487
|
16
|
5
|
0.609
|
17
|
|
Belarus
|
1
|
0.097
|
28
|
2
|
0.206
|
24
|
4
|
0.411
|
20
|
5
|
0.518
|
15
|
6
|
0.622
|
16
|
|
Belgium
|
43
|
4.143
|
2
|
54
|
5.196
|
2
|
44
|
4.234
|
3
|
43
|
4.129
|
2
|
46
|
4.417
|
2
|
|
Brazil
|
1
|
0.005
|
37
|
2
|
0.011
|
38
|
2
|
0.011
|
37
|
1
|
0.005
|
41
|
1
|
0.005
|
39
|
|
Canada
|
3
|
0.091
|
29
|
1
|
0.030
|
35
|
1
|
0.030
|
34
|
4
|
0.119
|
30
|
4
|
0.119
|
32
|
|
China
|
0
|
0.000
|
38
|
1
|
0.001
|
40
|
0
|
0.000
|
39
|
0
|
0.000
|
42
|
1
|
0.001
|
40
|
|
Columbia
|
5
|
0.115
|
26
|
6
|
0.135
|
27
|
4
|
0.090
|
30
|
4
|
0.088
|
33
|
3
|
0.069
|
34
|
|
Costa Rica
|
0
|
0.000
|
38
|
0
|
0.000
|
41
|
0
|
0.000
|
39
|
1
|
0.235
|
24
|
1
|
0.235
|
25
|
|
Croatia
|
1
|
0.222
|
23
|
1
|
0.223
|
23
|
1
|
0.223
|
24
|
1
|
0.223
|
26
|
1
|
0.223
|
27
|
|
Cuba
|
0
|
0.000
|
38
|
0
|
0.000
|
41
|
0
|
0.000
|
39
|
1
|
0.087
|
35
|
0
|
0.000
|
41
|
|
Czech Republic
|
3
|
0.293
|
20
|
3
|
0.293
|
21
|
3
|
0.293
|
23
|
2
|
0.196
|
27
|
2
|
0.196
|
29
|
|
Denmark
|
12
|
2.202
|
6
|
14
|
2.560
|
3
|
9
|
1.646
|
8
|
14
|
2.545
|
3
|
16
|
2.909
|
4
|
|
Estonia
|
2
|
1.510
|
9
|
2
|
1.520
|
9
|
4
|
3.040
|
4
|
3
|
2.309
|
4
|
1
|
0.770
|
13
|
|
Finland
|
3
|
0.573
|
15
|
2
|
0.382
|
20
|
2
|
0.382
|
21
|
2
|
0.381
|
20
|
2
|
0.381
|
21
|
|
France
|
97
|
1.593
|
8
|
98
|
1.538
|
8
|
103
|
1.616
|
9
|
86
|
1.343
|
9
|
49
|
0.765
|
14
|
|
Germany
|
41
|
0.497
|
17
|
41
|
0.498
|
16
|
39
|
0.473
|
17
|
28
|
0.340
|
22
|
29
|
0.352
|
23
|
|
Hungary
|
1
|
0.100
|
27
|
1
|
0.100
|
29
|
1
|
0.100
|
28
|
1
|
0.101
|
31
|
0
|
0.000
|
41
|
|
Ireland
|
3
|
0.739
|
12
|
2
|
0.487
|
18
|
2
|
0.487
|
16
|
2
|
0.476
|
17
|
2
|
0.476
|
19
|
|
Italy
|
84
|
1.445
|
10
|
79
|
1.359
|
10
|
67
|
1.152
|
11
|
54
|
0.929
|
10
|
60
|
1.032
|
10
|
|
Japan
|
1
|
0.008
|
36
|
1
|
0.008
|
39
|
0
|
0.000
|
39
|
1
|
0.008
|
40
|
1
|
0.008
|
38
|
|
Kazakhstan
|
5
|
0.328
|
19
|
11
|
0.720
|
13
|
10
|
0.654
|
13
|
10
|
0.649
|
14
|
14
|
0.909
|
11
|
|
Latvia
|
0
|
0.000
|
38
|
1
|
0.443
|
19
|
1
|
0.443
|
18
|
1
|
0.448
|
18
|
2
|
0.896
|
12
|
|
Lithuania
|
2
|
0.558
|
16
|
1
|
0.280
|
22
|
2
|
0.559
|
14
|
1
|
0.281
|
23
|
1
|
0.281
|
24
|
|
Luxembourg
|
4
|
8.431
|
1
|
4
|
8.329
|
1
|
4
|
8.329
|
1
|
3
|
6.100
|
1
|
5
|
10.167
|
1
|
|
Moldova
|
0
|
0.000
|
38
|
0
|
0.000
|
41
|
0
|
0.000
|
39
|
1
|
0.231
|
25
|
1
|
0.231
|
26
|
|
Netherlands
|
28
|
1.698
|
7
|
32
|
1.931
|
7
|
1
|
0.060
|
32
|
30
|
1.795
|
6
|
27
|
1.615
|
6
|
|
New Zealand
|
1
|
0.245
|
22
|
3
|
0.729
|
12
|
28
|
6.803
|
2
|
3
|
0.712
|
12
|
5
|
1.187
|
7
|
|
Norway
|
3
|
0.651
|
14
|
3
|
0.648
|
15
|
2
|
0.432
|
19
|
2
|
0.429
|
19
|
3
|
0.644
|
15
|
|
Poland
|
3
|
0.078
|
30
|
3
|
0.078
|
32
|
4
|
0.104
|
27
|
3
|
0.078
|
36
|
5
|
0.130
|
31
|
|
Portugal
|
3
|
0.283
|
21
|
1
|
0.094
|
30
|
2
|
0.188
|
25
|
2
|
0.187
|
28
|
4
|
0.374
|
22
|
|
Russia
|
11
|
0.077
|
31
|
12
|
0.085
|
31
|
1
|
0.007
|
38
|
22
|
0.157
|
29
|
20
|
0.143
|
30
|
|
Slovakia
|
1
|
0.184
|
24
|
1
|
0.184
|
25
|
11
|
2.019
|
6
|
2
|
0.366
|
21
|
3
|
0.549
|
18
|
|
Slovenia
|
5
|
2.487
|
5
|
5
|
2.488
|
5
|
3
|
1.493
|
10
|
4
|
1.994
|
5
|
6
|
2.991
|
3
|
|
South Africa
|
2
|
0.045
|
34
|
1
|
0.023
|
37
|
4
|
0.091
|
29
|
0
|
0.000
|
42
|
3
|
0.061
|
35
|
|
Spain
|
104
|
2.574
|
4
|
85
|
2.101
|
6
|
77
|
1.904
|
7
|
70
|
1.727
|
7
|
68
|
1.678
|
5
|
|
Sweden
|
4
|
0.444
|
18
|
6
|
0.664
|
14
|
3
|
0.332
|
22
|
6
|
0.662
|
13
|
4
|
0.442
|
20
|
|
Switzerland
|
24
|
3.190
|
3
|
19
|
2.515
|
4
|
16
|
2.118
|
5
|
11
|
1.447
|
8
|
8
|
1.052
|
9
|
|
Ukraine
|
7
|
0.150
|
25
|
8
|
0.173
|
26
|
7
|
0.151
|
26
|
4
|
0.088
|
34
|
5
|
0.109
|
33
|
|
UK
|
4
|
0.066
|
32
|
7
|
0.115
|
28
|
5
|
0.082
|
31
|
6
|
0.098
|
32
|
13
|
0.213
|
28
|
|
United States
|
15
|
0.050
|
33
|
14
|
0.046
|
34
|
9
|
0.030
|
35
|
19
|
0.062
|
37
|
18
|
0.059
|
36
|
|
Venezuela
|
1
|
0.039
|
35
|
2
|
0.077
|
33
|
1
|
0.038
|
33
|
1
|
0.037
|
38
|
0
|
0.000
|
41
|
From here I plan to redo this with all the Pro teams on the Continental tour circuit. This is going to take a while so don’t expect it anytime soon. You wouldn’t how long this took.
If you can think of any other interesting ways to present this data let me know and I’ll build it into the next version. At this stage I was thinking about putting in a column for riders caught doping so we can see which nations are getting better and which ones are letting the sport down.