2016 Nike Cross NationalsDec 5, 2016 by Gordon Mack
Why The Best H.S. Team Lost: NXN Doesn't Have Depth
Why The Best H.S. Team Lost: NXN Doesn't Have Depth
American Fork entered Nike Cross Nationals this past weekend with three sub-4:10 1600m runners, including the best runner in the nation. So how did it lose by 30 points?
Heading into Nike Cross Nationals this past weekend, the American Fork boys were the heavy favorites led by a stellar 1-2-3 punch in Casey Clinger, McKay Johns, and Patrick Parker. However, despite its impressive front three, the American Fork boys failed to win the team title in a 141-105 loss to Bozeman.
Interestingly, even if American Fork's top three went 1-2-3 in the meet, it still would have lost to Bozeman by 30 points. Also, American Fork's average 5K time was a full 12 seconds faster than Bozeman's average 5K -- 16:15 to 16:27. So how could a team with three sub-4:10 1600m runners, including the best runner in the nation, lose?
The answer: A lack of depth among NXN team scorers.
Looking at the results, American Fork's No. 3 Patrick Parker beat Bozeman's No. 1 Chase Equall by 7.4 seconds yet only scored one fewer point. In most cases, five to 10 athletes would cross the finish line over a seven-second gap. However, because of the lack of depth around these two caliber of athletes, zero scoring athletes finished between them.
Basically, American Fork's top three impact was lessened due to not many scoring athletes being near the front of the race. To visualize this clearer, let's compare the 2016 NXN race to the 2016 NCAA race.
In order to make the two comparable, I eliminated all of the non-scorers and also eliminated athletes from teams that finished 23rd to 31st to keep an equal field size of 22 teams. Looking at the top of the results for both NXN and NCAAs, there was one outlier with Justyn Knight's performance. Knight beat Edward Cheserek by 20 seconds, which was a much larger gap than Clinger's victory over Worley. Thus, I removed Knight from the NCAA results and compared time back from Clinger to time back from Cheserek.
As you can see in this chart, the NCAA field was much closer to Cheserek than the NXN field was to Clinger.
Now let's see how the team scores would have played out for Bozeman and American Fork if they ran the same race in a field with the simulated depth of NCAAs.
As you can see, if you incorporate a simulated depth of NCAA, American Fork's top three have a bigger impact on the team score resulting in a 252-301 overall win for American Fork.
Interestingly, even if American Fork's top three went 1-2-3 in the meet, it still would have lost to Bozeman by 30 points. Also, American Fork's average 5K time was a full 12 seconds faster than Bozeman's average 5K -- 16:15 to 16:27. So how could a team with three sub-4:10 1600m runners, including the best runner in the nation, lose?
The answer: A lack of depth among NXN team scorers.
Looking at the results, American Fork's No. 3 Patrick Parker beat Bozeman's No. 1 Chase Equall by 7.4 seconds yet only scored one fewer point. In most cases, five to 10 athletes would cross the finish line over a seven-second gap. However, because of the lack of depth around these two caliber of athletes, zero scoring athletes finished between them.
Basically, American Fork's top three impact was lessened due to not many scoring athletes being near the front of the race. To visualize this clearer, let's compare the 2016 NXN race to the 2016 NCAA race.
In order to make the two comparable, I eliminated all of the non-scorers and also eliminated athletes from teams that finished 23rd to 31st to keep an equal field size of 22 teams. Looking at the top of the results for both NXN and NCAAs, there was one outlier with Justyn Knight's performance. Knight beat Edward Cheserek by 20 seconds, which was a much larger gap than Clinger's victory over Worley. Thus, I removed Knight from the NCAA results and compared time back from Clinger to time back from Cheserek.
As you can see in this chart, the NCAA field was much closer to Cheserek than the NXN field was to Clinger.
Now let's see how the team scores would have played out for Bozeman and American Fork if they ran the same race in a field with the simulated depth of NCAAs.
PL | Athlete | Time | Time | Athlete | NXN Team | NXN PTS | NCAA PTS |
---|---|---|---|---|---|---|---|
01 | Cheserek | 0:00.0 | 0:00.0 | Clinger | American Fork | 1 | 1 |
02 | Zienasellassie | 0:01.8 | |||||
03 | Fisher | 0:09.9 | |||||
04 | Erb | 0:10.6 | |||||
05 | McDonald | 0:11.2 | |||||
06 | Montanez | 0:14.3 | |||||
07 | Carpenter | 0:15.0 | |||||
08 | Baxter | 0:15.1 | |||||
09 | Traynor | 0:19.7 | 0:18.5 | Johns | American Fork | 4 | 9 |
10 | Edman | 0:20.8 | |||||
11 | George | 0:22.1 | |||||
12 | Abdi | 0:22.1 | |||||
13 | Bennie | 0:22.4 | |||||
14 | Uchikoshi | 0:22.8 | |||||
15 | Bruce | 0:22.9 | |||||
16 | Saarel | 0:23.8 | |||||
17 | Day | 0:25.0 | |||||
18 | McGorty | 0:25.3 | |||||
19 | Schrobilgen | 0:25.5 | |||||
20 | Hardt | 0:27.4 | |||||
21 | Klecker | 0:27.7 | |||||
22 | Maton | 0:28.0 | |||||
23 | Williams | 0:28.6 | |||||
24 | Linkletter | 0:31.6 | |||||
25 | Dressel | 0:33.3 | 0:32.6 | Parker | American Fork | 7 | 25 |
26 | Hubbard | 0:33.3 | |||||
27 | Thompson | 0:35.5 | |||||
28 | Trouard | 0:35.5 | |||||
29 | Gallagher | 0:38.4 | |||||
30 | Wharton | 0:40.2 | 0:40.0 | Equall | Bozeman | 8 | 30 |
31 | Demarest | 0:40.6 | |||||
32 | Clements | 0:42.2 | |||||
33 | Pollard | 0:42.6 | |||||
34 | Griffith | 0:44.0 | |||||
35 | Germano | 0:44.5 | |||||
36 | Parsons | 0:45.9 | |||||
37 | Diaz | 0:46.0 | |||||
38 | Herriott | 0:46.1 | |||||
39 | Mock | 0:46.2 | |||||
40 | Domanic | 0:46.5 | |||||
41 | Hoyos | 0:47.2 | |||||
42 | Fahy | 0:47.8 | |||||
43 | Clevenger | 0:48.1 | |||||
44 | Tobin | 0:48.9 | |||||
45 | Whelan | 0:49.6 | |||||
46 | Miller | 0:50.4 | |||||
47 | Hardy | 0:51.0 | |||||
48 | Hacker | 0:51.0 | |||||
49 | Ronoh | 0:51.6 | |||||
50 | Anderson | 0:51.9 | |||||
51 | Johnson | 0:53.0 | |||||
52 | Thies | 0:53.5 | |||||
53 | Preisner | 0:54.0 | |||||
54 | Sweatt | 0:54.2 | |||||
55 | Forsyth | 0:54.8 | |||||
56 | Roderique | 0:55.9 | |||||
57 | Young | 0:55.9 | |||||
58 | Fischer | 0:57.1 | |||||
59 | Ball | 0:57.8 | |||||
60 | Glines | 0:58.4 | 0:58.2 | Hamilton | Bozeman | 19 | 60 |
61 | Keelan | 0:58.8 | |||||
62 | Kirui | 0:59.2 | |||||
63 | Laurita | 1:00.9 | 1:00.1 | Collins | Bozeman | 22 | 63 |
64 | Engels | 1:01.1 | |||||
65 | Mulherin | 1:01.5 | |||||
66 | Hanson | 1:01.6 | |||||
67 | Motschmann | 1:01.9 | |||||
68 | Weitz | 1:02.2 | |||||
69 | Haller | 1:02.6 | 1:02.5 | Clark | Bozeman | 24 | 69 |
70 | Beamish | 1:03.2 | |||||
71 | Myjer | 1:03.5 | |||||
72 | Curts | 1:03.5 | |||||
73 | Harper | 1:03.9 | |||||
74 | Cook | 1:05.4 | |||||
75 | Prakel | 1:05.6 | |||||
76 | Pearce | 1:07.0 | |||||
77 | Briggs | 1:07.1 | |||||
78 | Visokay | 1:07.6 | |||||
79 | McLelland | 1:09.4 | 1:08.2 | McComas | Bozeman | 32 | 79 |
80 | Vennard | 1:09.7 | |||||
81 | Tonui | 1:10.0 | |||||
82 | Tadesse | 1:10.1 | |||||
83 | Levora | 1:10.6 | |||||
84 | James | 1:10.6 | |||||
85 | Dee | 1:13.3 | |||||
86 | Robinson | 1:14.6 | |||||
87 | Liddell | 1:15.1 | |||||
88 | Perrin | 1:16.7 | |||||
89 | Reynolds | 1:17.0 | |||||
90 | Aouani | 1:18.4 | |||||
91 | Abbey | 1:18.6 | |||||
92 | Sheehan | 1:19.8 | |||||
93 | Soter | 1:20.5 | |||||
94 | Andrews | 1:21.5 | |||||
95 | Barus | 1:22.3 | |||||
96 | Hume | 1:22.6 | |||||
97 | Burke | 1:22.8 | |||||
98 | Armstrong | 1:23.1 | |||||
99 | De | 1:23.3 | |||||
100 | Teigen | 1:24.2 | |||||
101 | Rockhold | 1:25.1 | |||||
102 | Jordan | 1:25.1 | |||||
103 | Martinez | 1:26.8 | |||||
104 | Neuman | 1:26.9 | |||||
105 | Goehler | 1:28.6 | 1:27.4 | Clinger | American Fork | 58 | 105 |
106 | Hauger | 1:29.4 | |||||
107 | Fayers | 1:30.1 | |||||
108 | Eidenschink | 1:30.7 | |||||
109 | Hardwick | 1:30.9 | |||||
110 | Dobos | 1:31.1 | |||||
111 | Hanson | 1:31.3 | |||||
112 | Gutierrez | 1:31.6 | 1:31.6 | Brems | American Fork | 71 | 112 |
As you can see, if you incorporate a simulated depth of NCAA, American Fork's top three have a bigger impact on the team score resulting in a 252-301 overall win for American Fork.