Explicación de los términos utilizados en la hoja de resultados 

 

Puesto Abs (Puesto, Absoluto): El puesto entre todos los corredores en la carrera.

 

Puesto Cat (Puesto, Categoria): El puesto en su categoria.  Las categorias normales son:

 

0 a 11 INFANTIL (L)
12 a 14 INTERMEDIA (K)
15 a 19 JUVENIL (J)
20 a 29 ADULTO (A)
30 a 39 SENIOR (S)
40 a 49 MASTER (M)
50 a 59 GRAND MASTER (G)
60+ SUPER GRAND MASTER 
 
 
 

                                  

Las categorias Femeninas son iguales.

 

HCP (Handicap): El puesto en orden del Tiempo Corregido, o "Age Graded".

 

Age Graded:

 

NO. (Número): El número de dorsal que usó el corredor.

 

NOMBRE: El nombre del corredor

 

EDAD: la edad del corredor el día de la carrera.

 

TIEMPO: el tiempo cronometrado del corredor

 

CORREGIDO: En inglés esto es denominado "Age Graded." El tiempo corregido por el género y edad del corredor. Los corredores masculinos entre las edades de 20 y 34 años corren sin corrección (su factor es 1.000).  Arriba y debajo de esa edad, se aplica un factor que permite comparar los tiempos de todos los corredores, sin importar su sexo o edad. 

Algunos ejemplos, en una carrera de 10 kilómetros:

La marca mundial para 10 km en carrera de ruta es 27:18

 

                                  Edad      Sexo        Tiempo       Factor   Tiempo Corregido  Dif.     Indice 

                                     20            m             32:59          1.000               32:59               5:40        82

                                     35            m             33:38          .9963               33:37               6:19        81

                                     42            m             33:46          .9679               32:13               4:55        84

                                     54            m             36:39          .8689               31:50               4:32        85

                                     66            m             52:03          .7748               40:19             13:01        67

                                     11             f              42:09          .7233               34:26                7:08        79

                                     45             f              42:31          .7625               32:25                5:07        84

 

El tiempo corregido del varón de 42 años fue el mejor, y el tiempo corregido del varón de 66 años fue el peor de este grupo.

El tiempo corregido nos permite comparar el desempeño de las atletas de todas las edades y de los dos sexos.  Aquí se encuentra la tabla completa de factores de corrección.

Aqui hay un tratamiento completo de los correcciones Age Graded: Age Graded

 

DIF: La diferencia entre el tiempo corregido y la marca mundial.

 

INDICE: Es la marca mundial dividido por el tiempo corregido y multiplicado por 100.  Un tiempo corregido que igualara la marca mundial tendría un índice de 100.  Este indice es el puntaje que se aplica al campeonato de PAFRA.

 

PASO /KM: El tiempo promedio requerido para completar un kilómetro.

 

PASO/MILLA: El tiempo promedio requerido para completar una milla.

 

                                                              Factores de Correccion

                                                                         

       Edad

1km 5km 8km 10km 12km 15km 21km 42km
1 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
2 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
3 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
4 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
5 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
6 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
7 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
8 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
9 0.8177 0.8177 0.7902 0.7919 0.7922 0.7904 0.7847 0.7646
10 0.8177 0.8177 0.8574 0.8588 0.8593 0.8574 0.8524 0.8348
11 0.8772 0.8772 0.8772 0.8853 0.8858 0.8838 0.8802 0.8634
12 0.9011 0.9011 0.9069 0.9078 0.9084 0.9064 0.9024 0.8884
13 0.9216 0.9216 0.9264 0.9271 0.9275 0.9256 0.9221 0.9101
14 0.9393 0.9393 0.9429 0.9433 0.9438 0.9419 0.9389 0.9289
15 0.9543 0.9543 0.9569 0.957 0.9574 0.9557 0.9531 0.9452
16 0.9671 0.9671 0.9686 0.9685 0.9689 0.9671 0.965 0.9591
17 0.9779 0.9779 0.9784 0.978 0.9783 0.9767 0.975 0.971
18 0.9868 0.9868 0.9864 0.9858 0.986 0.9845 0.9832 0.981
19 0.9925 0.9925 0.9929 0.9921 0.9923 0.9908 0.9899 0.9894
20 1 1 1 1 1 1 1 1
21 1 1 1 1 1 1 1 1
22 1 1 1 1 1 1 1 1
23 1 1 1 1 1 1 1 1
24 1 1 1 1 1 1 1 1
25 1 1 1 1 1 1 1 1
26 1 1 1 1 1 1 1 1
27 1 1 1 1 1 1 1 1
28 1 1 1 1 1 1 1 1
29 1 1 1 1 1 1 1 1
30 1 1 1 1 1 1 1 1
31 1 1 1 1 1 1 1 1
32 1 1 1 1 1 1 1 1
33 1 1 1 1 1 1 1 1
34 1 1 1 1 1 1 1 1
35 0.9963 0.9963 1 1 1 1 1 1
36 0.9895 0.9895 0.9934 0.9953 0.997 0.9989 1 1
37 0.9827 0.9827 0.9866 0.9884 0.9901 0.9921 0.9957 1
38 0.976 0.976 0.9797 0.9816 0.9833 0.9852 0.9888 0.9973
39 0.9692 0.9692 0.9729 0.9747 0.9764 0.9784 0.982 0.9904
40 0.9624 0.9624 0.9661 0.9679 0.9696 0.9715 0.9751 0.9835
41 0.9555 0.9555 0.9592 0.961 0.9627 0.9646 0.9682 0.9765
42 0.9487 0.9487 0.9523 0.9541 0.9558 0.9576 0.9612 0.9695
43 0.9418 0.9418 0.9454 0.9471 0.9488 0.9507 0.9543 0.9626
44 0.935 0.935 0.9385 0.9402 0.9419 0.9437 0.949 0.9556
45 0.9281 0.9281 0.9316 0.9333 0.935 0.9368 0.942 0.9486
46 0.9211 0.9211 0.9246 0.9262 0.9279 0.9292 0.9333 0.9415
47 0.9141 0.9141 0.9175 0.9192 0.9209 0.9226 0.9262 0.9344
48 0.9071 0.9071 0.9105 0.9121 0.9138 0.9156 0.9192 0.9272
49 0.9001 0.9001 0.9034 0.9051 0.9068 0.9085 0.9121 0.9201
50 0.8931 0.8931 0.8964 0.898 0.8997 0.9014 0.905 0.913
51 0.8859 0.8859 0.8891 0.8907 0.8924 0.8941 0.8977 0.9057
52 0.8787 0.8787 0.8819 0.8834 0.8851 0.8868 0.8904 0.8983
53 0.8714 0.8714 0.8746 0.8762 0.8779 0.8795 0.8831 0.891
54 0.8642 0.8642 0.8674 0.8689 0.8706 0.8722 0.8758 0.8836
55 0.857 0.857 0.8601 0.8616 0.8633 0.8649 0.8685 0.8763
56 0.8495 0.8495 0.8525 0.854 0.8557 0.8573 0.8609 0.8686
57 0.8419 0.8419 0.8449 0.8464 0.8481 0.8497 0.8533 0.861
58 0.8344 0.8344 0.8374 0.8388 0.8405 0.842 0.8456 0.8533
59 0.8268 0.8268 0.8298 0.8312 0.8329 0.8344 0.838 0.8457
60 0.8193 0.8193 0.8222 0.8236 0.8253 0.8268 0.8304 0.838
61 0.8113 0.8113 0.8142 0.8156 0.8173 0.8187 0.8223 0.8299
62 0.8033 0.8033 0.8062 0.8075 0.8092 0.8107 0.8143 0.8218
63 0.7954 0.7954 0.7981 0.7995 0.8012 0.8026 0.8062 0.8137
64 0.7874 0.7874 0.7901 0.7914 0.7931 0.7946 0.7982 0.8056
65 0.7794 0.7794 0.7821 0.7834 0.7851 0.7865 0.7901 0.7975
66 0.7708 0.7708 0.7735 0.7748 0.7765 0.7779 0.7815 0.7888
67 0.7623 0.7623 0.7649 0.7662 0.7679 0.7692 0.7728 0.7801
68 0.7537 0.7537 0.7563 0.7575 0.7592 0.7606 0.7642 0.7715
69 0.7452 0.7452 0.7477 0.7489 0.7506 0.7519 0.7555 0.7628
70 0.7366 0.7366 0.7391 0.7403 0.742 0.7433 0.7469 0.7541
71 0.7273 0.7273 0.7298 0.7309 0.7326 0.7339 0.7375 0.7447
72 0.718 0.718 0.7204 0.7216 0.7233 0.7245 0.7281 0.7353
73 0.7087 0.7087 0.7111 0.7122 0.7139 0.7152 0.7188 0.7258
74 0.6994 0.6994 0.7017 0.7029 0.7046 0.7058 0.7094 0.7164
75 0.6901 0.6901 0.6924 0.6935 0.6952 0.6964 0.7 0.707
76 0.6798 0.6798 0.6821 0.6832 0.6849 0.6861 0.6897 0.6966
77 0.6696 0.6696 0.6718 0.6729 0.6746 0.6757 0.6793 0.6862
78 0.6593 0.6593 0.6615 0.6625 0.6642 0.6654 0.669 0.6759
79 0.6491 0.6491 0.6512 0.6522 0.6539 0.655 0.6586 0.6655
80 0.6388 0.6388 0.6409 0.6419 0.6436 0.6447 0.6483 0.6551
81 0.6272 0.6272 0.6292 0.6302 0.6319 0.633 0.6366 0.6434
82 0.6156 0.6156 0.6176 0.6185 0.6202 0.6213 0.6249 0.6316
83 0.6039 0.6039 0.6059 0.6069 0.6086 0.6096 0.6132 0.6199
84 0.5923 0.5923 0.5943 0.5952 0.5969 0.5979 0.6015 0.6081
85 0.5807 0.5807 0.5826 0.5835 0.5852 0.5862 0.5898 0.5964
86 0.5668 0.5668 0.5686 0.5695 0.5712 0.5722 0.5758 0.5824
87 0.5529 0.5529 0.5547 0.5555 0.5572 0.5582 0.5618 0.5683
88 0.5389 0.5389 0.5407 0.5416 0.5433 0.5442 0.5478 0.5543
89 0.525 0.525 0.5268 0.5276 0.5293 0.5302 0.5338 0.5402
90 0.5111 0.5111 0.5128 0.5136 0.5153 0.5162 0.5198 0.5262
91 0.4923 0.4923 0.494 0.4948 0.4965 0.4973 0.5009 0.5073
92 0.4735 0.4735 0.4752 0.4759 0.4776 0.4785 0.4821 0.4884
93 0.4548 0.4548 0.4563 0.4571 0.4588 0.4596 0.4632 0.4695
94 0.436 0.436 0.4375 0.4382 0.4399 0.4408 0.4444 0.4506
95 0.4172 0.4172 0.4187 0.4194 0.4211 0.4219 0.4255 0.4317
96 0.3861 0.3861 0.3876 0.3883 0.39 0.3908 0.3944 0.4005
97 0.3551 0.3551 0.3565 0.3572 0.3589 0.3596 0.3632 0.3693
98 0.324 0.324 0.3254 0.326 0.3277 0.3285 0.3321 0.3382
99 0.293 0.293 0.2943 0.2949 0.2966 0.2973 0.3009 0.307
100 0.2619 0.2619 0.2632 0.2638 0.2655 0.2662 0.2698 0.2758

 

What is Age-Graded Scoring?

Basically, Age-Graded Scoring allows all individuals within a race to be "scored" against each other. That is done by first comparing the individual's finish time at that particular race distance to an "ideal" or best time (not necessarily the "world record") achievable for that individual's age and gender.

Age-Graded Scoring utilizes statistical tables to compare the performances of individual athletes at different distances, between different events, or against other athletes of either gender and/or of any age. Confusing? Perhaps looking at how Age-Graded Scoring applies to road racing may help clear things up.

How does Age-Graded Scoring work?

Let's say a 55-year old male runs a marathon in 3:00:27. He would receive an Age-Graded Score of 80.21%. That is because, according to the Age-Graded Scoring tables, the "ideal" finish time for a 55-year old male is 2:24:22, and that's about 20% faster (about 36 minutes) than our 55-year old ran.

Now let's say that a 27-year old male ran the same marathon in 2:45:47. Obviously, that is faster than our 55-year old. But is the performance of the younger runner really "better" when compared with that of a man more than twice his age? The answer is, "No!" In fact, the Age-Graded score of the 25-year old is only 76.51%. The old guy wins! And, our 27-year old has a lot of training to do if he expects to "improve with age" and post anything close to a 3-hour marathon when he turns fifty-five!

Why Age-Graded Scoring?

Age-Graded Scoring was originally developed to do two things:

  1. Provide each race finisher with a percentage value score that will enable them to judge their performance against any and all others without bias to age or sex. So, no matter how old you get, your Age-Graded Score or "performance percentage" will be judged against the standard for your current age within your gender. And as your performances decline with advancing age (and they will), so too will the standards used to calculate your Age-Graded Score, thereby giving you a true measure of your performance. Who knows, although your actual finish times may get slower over the years, you could actually improve in Age-Graded score like a fine wine.
  2. Correct each person's performance, no matter what age, to what it would have been (or will be) in their "prime" athletic years. This allows for very interesting comparisons. You can compare your current performance to previous ones over the same or any distance. You can compare your performance to other runners of any age and either gender. You can even compare your performance to the elite athletes.

Where did Age-Graded Scoring come from?

The research and statistical analysis that allows us to determine these percentages was developed by the World Association of Veteran Athletes (WAVA), the world governing body for masters long distance running, racewalking, and track and field. WAVA compiled approximate world record level performance standards for both genders and each age between 5 and 100. Then separate sets of standards were established for each of the standard road racing distances (5K, 8K, 10K, 12K, Half Marathon, Marathon, etc.).

Age-Graded Scoring Achievement Levels

WAVA has also developed the following broad "Achievement Levels" for use with Age-Graded Scoring. A score within each range indicates the level of performance achieved by an athlete.

  • 100% = Approximate World Record Level
  • 90-99% = World Class
  • 80-89% = National Class
  • 70-79% = Regional Class
  • 60-69% = Local Class

Why haven't I heard of Age-Graded Scoring before now?

Although few US race directors currently employ Age-Graded Scoring, it is an interesting and very useful piece of information for many runners. There are many overseas events that do use these standards to score their races and some even distribute awards appropriate for the level of achievement.

And it may be that Age-Graded Scoring will gain in popularity in the US as the number of older runners continues to increase.

 

                                      

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