TNI ranking
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Originally conceived by quantumofsport.com's Charles le Roi, the Tennis Nations Index (TNI) measures how good a country is, for its size, at producing tennis talent. It does so by analysing the first round draw and seedings for a Grand Slam event (including qualifiers and wildcards) to see how they break down by country and how the countries match up relative to the size of their population. Uniquely (as far as we are aware) the TNI factors in both the men’s and women’s sides of the game, including success in producing Grand Slam champions and winning the Davis and Fed Cups. See below for more on the precise maths involved – the lower the final score the better the rank, and only countries with at least two participants in the tournament in question are included in the ranking. Here is the latest TNI, based on the first round draw for the 2010 French Open and reflecting the situation at the start of that tournament...
|
|
|
pop |
128M |
128W |
128T |
32T |
co1 |
co2 |
GS |
co3 |
score |
|
1 |
Spain |
46 |
15 |
5 |
20 |
10 |
2.30 |
2.00 |
Y/D |
x0.5 |
2.15 |
|
2 |
Serbia |
7.8 |
3 |
2 |
5 |
2 |
1.56 |
2.50 |
Y |
x0.75 |
3.05 |
|
3 |
Croatia |
4.4 |
2 |
2 |
4 |
2 |
1.10 |
2.00 |
|
|
3.10 |
|
4 |
Switzerland |
7.8 |
3 |
4 |
7 |
2 |
1.11 |
3.50 |
Y |
x0.75 |
3.46 |
|
5 |
Slovakia |
5.4 |
2 |
3 |
5 |
2 |
1.08 |
2.50 |
|
|
3.58 |
|
6 |
Belgium |
10.8 |
4 |
3 |
7 |
2 |
1.54 |
3.50 |
Y |
x0.75 |
3.78 |
|
7 |
Australia |
22.1 |
3 |
5 |
8 |
2 |
2.76 |
4.00 |
Y |
x0.75 |
5.07 |
|
8 |
Czech Rep |
10.3 |
2 |
7 |
9 |
2 |
1.14 |
4.50 |
|
|
5.64 |
|
9 |
Israel |
7.4 |
1 |
1 |
2 |
1 |
3.70 |
2.00 |
|
|
5.70 |
|
10 |
Sweden |
9.3 |
1 |
2 |
3 |
1 |
3.10 |
3.00 |
|
|
6.10 |
|
11 |
Russia |
141.9 |
5 |
19 |
24 |
10 |
5.91 |
2.40 |
Y |
x0.75 |
6.23 |
|
13 |
Austria |
8.2 |
3 |
2 |
5 |
1 |
1.64 |
5.00 |
|
|
6.64 |
|
12 |
Belarus |
9.5 |
0 |
2 |
2 |
1 |
4.75 |
2.00 |
|
|
6.75 |
|
14 |
Italy |
60.3 |
6 |
7 |
13 |
2 |
4.64 |
6.50 |
F |
x0.75 |
8.35 |
|
15 |
Chile |
16.6 |
3 |
0 |
3 |
1 |
5.53 |
3.00 |
|
|
8.53 |
|
16 |
France |
65.1 |
19 |
12 |
31 |
4 |
2.10 |
7.75 |
|
|
9.85 |
|
17 |
Slovenia |
2.1 |
2 |
2 |
4 |
0 |
0.53 |
10.00 |
|
|
10.53 |
|
18 |
Ukraine |
46 |
2 |
3 |
5 |
2 |
9.20 |
2.50 |
|
|
11.70 |
|
19 |
Argentina |
40.1 |
5 |
1 |
6 |
1 |
6.68 |
6.00 |
|
|
12.68 |
|
20 |
Kazakhstan |
15.8 |
3 |
1 |
4 |
0 |
3.95 |
10.00 |
|
|
13.95 |
|
21 |
Romania |
21.5 |
1 |
4 |
5 |
2 |
4.30 |
10.00 |
|
|
14.30 |
|
22 |
Germany |
81.9 |
12 |
5 |
17 |
1 |
4.82 |
10.00 |
|
|
14.82 |
|
23 |
Hungary |
10 |
0 |
2 |
2 |
0 |
5.00 |
10.00 |
|
|
15.00 |
|
24 |
USA |
308.6 |
11 |
8 |
19 |
5 |
16.24 |
3.80 |
Y |
x0.75 |
15.03 |
|
25 |
Poland |
38.1 |
2 |
1 |
3 |
1 |
12.70 |
3.00 |
|
|
15.70 |
|
26 |
Taiwan |
23.1 |
1 |
2 |
3 |
0 |
7.70 |
10.00 |
|
|
17.70 |
|
27 |
Netherlands |
16.6 |
2 |
0 |
2 |
0 |
8.30 |
10.00 |
|
|
18.30 |
|
28 |
UK |
62 |
1 |
3 |
4 |
1 |
15.50 |
4.00 |
|
|
19.50 |
|
29 |
Canada |
34 |
0 |
3 |
3 |
0 |
11.33 |
10.00 |
|
|
21.33 |
|
30 |
Uzbekistan |
27.5 |
1 |
1 |
2 |
0 |
13.75 |
10.00 |
|
|
23.75 |
|
31 |
Colombia |
45.3 |
2 |
0 |
2 |
0 |
22.65 |
10.00 |
|
|
32.65 |
|
32 |
South Africa |
49.1 |
1 |
1 |
2 |
0 |
24.55 |
10.00 |
|
|
34.55 |
|
33 |
Japan |
127.5 |
1 |
4 |
5 |
0 |
25.50 |
10.00 |
|
|
35.50 |
|
34 |
Brazil |
192.4 |
3 |
0 |
3 |
1 |
64.13 |
3.00 |
|
|
67.13 |
|
35 |
China |
1336 |
0 |
4 |
4 |
2 |
334.00 |
2.00 |
|
|
336.00 |
pop = population (millions) (taken from Wikipedia, Serbian population does not include Kosovo)
128M = no. of men in the first round draw
128W = no. of women in the first round draw
128T = total no. of players in the first round draw, male and female
32T = total no. of players seeded in the top 32, male and female
co1 = population co-efficient (pop divided by 128T): divides the country's total population by the number of players it has in the tournament, male and female (the lower the co-efficient the better, looking for as big a proportion as possible of players relative to population size)
co2 = ranking co-efficient (128T divided by 32T): divides the number of players the country has in the tournament, male and female, by the number of players it has seeded in the top 32, male and female (the lower the co-efficient the better, looking for as high a proportion as possible of players in the top 32) NB if no seeded players then co-efficient is automatically 10.00
GS = whether the country has a Grand Slam event winner somewhere in the men's or women's draw (Y=Yes); in addition: D = the country is the Davis Cup holder, F = the country is the Fed Cup holder
co3 = Slam co-efficient applied if GS=Y; a bonus co-efficient is also applied for D (Davis Cup holder) and F (Fed Cup holder) - these bonus co-efficients are cumulative i.e. one country can claim all three bonuses for an overall bonus co-efficient of x0.25 (the multiplication helps to produce a lower and therefore better final score)
score = co1+co2 (x co3 where applicable): this is the final score (the lower the better).
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