Recently, it was time for one of our annual family traditions. A university-student running event with a long history. Afterward, the rankings showed some extraterrestrially fast times. Smells fishy? Indeed it does. So I asked myself what you have probably asked yourself at some point, too: How fast can a runner run?

The short reason for the superb running times was that some of the teams apparently cheated. But why would they do that? That’s beyond me. But what I can tell you is how I figured out that something was off and by how much. So here is my scientific take:

Details of a four-leaf clover (run)

Every end-of-June, we celebrate the end of the University summer semester, more precisely of the University Sports Institute’s course program, with the “Kleeblattlauf” (=”four-leaf-clover run”). The name of this four-lap relay running event comes from a four-leaf clover, which is also the symbol for the whole thing.

The concept is rather simple: four people (faculty, students, or academics) join in each team to run a given track (of three different lengths according to age and gender) around the compound. The start-and-finish area is on the University Sports Institute’s Stadium field. This has the nice effect of a lot of space for kids, friends, family, support, warm-up, and relaxing (plus it is actually needed for the simultaneous start of more than 500 runners). Each year a team forms from our larger family connections and we gather on the field to have fun and support the runners.

The running event has a cutoff of one hour: every team that stays inside this time limit is “successful” in the sense that they get T-shirts and stuff. While this is clearly about the fun, being together and having a party afterward, there is also an official timing and result list, which can be found here for this year’s (2017) event. More concretely, one can get a pdf file. This file shows a multi-page table with all teams, total and split times, and is the basis for subsequent checking of improvements over last year and other discussions.

However, the table in the pdf file is ordered with respect to team number and not interactive at all, i.e., in order to figure out how your team did, you have to do something yourself. So I copy-pasted the times into an open-office calc sheet and converted it into an interactively sortable table, which you can find below at the end of the post. Feel free to browse and search the table at your discretion, but I would like to emphasize that this is by no means an or the official result table. I just copied the data and made it playable.

The winners of the Kleeblattlauf 2017?

But there’s still a little story to tell. When we checked the result of “our team”, we found, after ordering the teams by overall time, that the winning team had obviously been veeeeery fast. Now, in order to realize this, you need to know some more details about the track and track length(s).

First of all, the tracks go through the nearby woods, along paths, and over meadows, i.e., they are nowhere near ideal race tracks – there is also a bit of a vertical profile, see the pdf link below. Secondly, there are many people on the track very close to each other so that one has to be a little careful instead of a daredevil. Finally, there are three different lengths of the track (all the details can be found in a pdf at the University of Graz’s Sports Institute’s webpage).

In short, men under 35 years of age have to run 2600 m, men 35 and older as well as women under 35 run 2200 m, and women 35 and older run 1800 m. The usual times you’d expect range from 10 minutes (pretty good) and less (pretty awesome) to 12 minutes (still good, depending on who and how old you are) up to beyond 20 minutes (still ok to make the cutoff, if your team catches up for you). Usually, almost all teams succeed in beating the hour.

But back to the team with the fastest time on the list. If you check the table below, you find that they’ve got three lap times of under four minutes each. When I sent out the sorted .ods file to the members of our team, I didn’t think about it much, but the runners (I am traditionally not one of them, but more of a support/cheerleader/babysitter/mediaguy/techie/whateverisneeded) replied immediately with questions like how this team got ultra-fast times like this. The bottom line is that we don’t know, but we do know that they are not legitimate.

Think about it the following way:

Runners 2 to 4 from the “winning” team (No. 607) registered with the following times: 3:35, 3:17, and 3:54. (Their “neighbors” with No. 608 did something “interesting” as well by the way since their final lap time is 3:06. With track lengths of 1800, 2200 or 2600 meters this means an average speed of at least 27,7 kph (that’s 17,2 mph for our American friends, the conversion factor is 0,62) for the 3:54 time and a maximum of 34,5 kph for the 3:06 time on the shortest 1800 m track. If those times would have been achieved on the longer variations of the track, we’d be at 40 kph average speed for the 3:54 time over the 2600 m, and even faster for the other times (up to a whopping 50 kph average).

World record running times and speeds

Let’s compare these values to the average speeds for the typical running distances and world-record times for men, as they are listed on the respective Wikipedia pages (and keep in mind that these are achieved on ideal race tracks):

Distance (m)Average Speed (kph)Average Speed (mph)
10037,623,3
20037,523,3
40033,520,8
80028,517,7
150026,216,2
3000 steeplechase22,814,1
500023,814,8

Apparently, to keep an average speed of 27 kph over 1800 meters is beyond world-record performance 🙂

What is a legitimate time to complete a lap at the Kleeblattlauf?

So these below-four-minute times are obviously fake/erroneous/whatever, but which is the “legitimate barrier”? What can one expect to achieve? The best lap time above four minutes was the starter in team No. 166, who finished her lap after 6:57 minutes. I wrote “her” instinctively. This time, in combination with the three distances of the different tracks, results in average speeds of 15,5 kph, 19 kph, and 22,4 kph, respectively. I guess that’s realistic, but I have no concrete idea which one. Here’s one more useful data point to compare to, which is the Austrian record time for the 2000-meter distance (roughly 5 minutes), resulting in an average speed of 24 kph.

The sortable, interactive table of results for the 2017 Kleeblattlauf

If we assume that a seven-minute time is a legit result around the block, then there are six excellent times under eight minutes, all of them achieved by starters. But see, sort, search, and analyze the table for yourself.

Team No.Runner 1Runner 2Runner 3Runner 4TotalRank
60700:11:44,5000:03:35,0000:03:16,6000:03:53,7000:22:29,801
54500:09:55,5000:09:48,0000:08:53,9000:09:20,5000:37:58,002
200:09:18,6000:10:25,7000:08:23,4000:10:01,6000:38:09,403
39400:07:15,6000:11:37,8000:10:43,8000:10:11,1000:39:48,404
7100:08:06,6000:12:35,4000:10:35,7000:08:55,6000:40:13,505
42200:08:08,0000:10:06,0000:10:40,4000:11:22,4000:40:16,906
58800:09:24,7000:10:15,4000:08:08,3000:12:51,6000:40:40,207
5300:09:24,0000:09:47,9000:11:09,6000:10:23,5000:40:45,208
60800:12:37,3000:11:09,7000:13:52,7000:03:06,1000:40:45,909
57200:10:38,0000:11:58,3000:09:17,0000:08:56,6000:40:50,0010
1600:07:12,4000:12:02,0000:08:29,6000:13:44,7000:41:28,8011
900:09:22,3000:10:11,3000:10:36,4000:11:24,4000:41:34,5012
26300:09:26,3000:09:58,6000:12:36,1000:10:12,7000:42:13,8013
27300:10:01,9000:09:37,8000:09:21,0000:13:22,6000:42:23,4014
64100:09:10,1000:11:10,6000:09:20,5000:12:50,8000:42:32,2015
11900:10:34,9000:10:31,9000:09:52,8000:11:40,2000:42:39,9016
6800:09:06,0000:10:51,6000:10:37,3000:12:10,0000:42:45,0017
15000:11:06,1000:10:12,5000:11:35,3000:09:55,4000:42:49,4018
4200:10:55,8000:11:53,3000:08:57,5000:11:05,3000:42:52,0019
54600:10:32,1000:10:43,5000:11:40,5000:10:01,2000:42:57,4020
36700:09:24,0000:10:51,5000:10:19,2000:12:23,2000:42:58,0021
28200:11:58,6000:11:55,5000:09:47,6000:09:25,1000:43:06,9022
2700:11:14,4000:10:19,9000:10:57,6000:10:58,7000:43:30,7023
15100:10:48,0000:10:02,5000:10:04,9000:13:04,2000:43:59,8024
62200:12:20,6000:12:29,4000:09:26,9000:09:49,7000:44:06,7025
25400:09:24,8000:13:08,7000:10:48,9000:10:47,5000:44:10,0026
56700:11:44,8000:10:45,4000:10:39,3000:11:07,2000:44:16,9027
16600:06:56,5000:10:21,4000:13:56,2000:13:04,2000:44:18,5028
3800:09:35,9000:12:04,9000:11:45,6000:10:54,7000:44:21,3029
25000:09:44,0000:13:12,6000:11:19,2000:10:23,9000:44:39,8030
14600:11:12,6000:11:53,4000:09:51,4000:11:46,9000:44:44,4031
33500:10:16,9000:11:00,6000:11:42,8000:11:44,8000:44:45,2032
10100:10:38,0000:13:20,4000:10:55,5000:09:53,7000:44:47,7033
39500:11:34,2000:11:47,9000:11:04,7000:10:22,3000:44:49,2034
64300:12:50,5000:08:45,4000:11:38,7000:11:39,7000:44:54,5035
49200:10:47,6000:10:08,2000:12:48,7000:11:11,8000:44:56,4036
15200:10:16,4000:10:09,0000:11:42,4000:12:51,0000:44:59,0037
55000:11:31,7000:10:40,5000:11:22,9000:11:24,9000:45:00,1038
25800:10:39,3000:11:06,2000:12:36,5000:10:39,0000:45:01,1039
58500:09:54,3000:09:22,4000:10:50,6000:14:57,8000:45:05,3040
10000:11:15,6000:10:13,7000:12:19,8000:11:20,2000:45:09,5041
6400:11:05,2000:10:54,4000:10:11,7000:12:58,2000:45:09,6042
48800:10:37,1000:10:22,0000:12:11,3000:11:59,1000:45:09,7043
9800:12:33,5000:11:27,5000:09:58,8000:11:11,6000:45:11,5044
6500:14:00,9000:10:36,6000:09:05,6000:11:30,9000:45:14,1045
51800:11:59,7000:10:19,7000:11:26,1000:11:28,7000:45:14,2046
8100:11:40,8000:11:50,5000:11:20,3000:10:28,5000:45:20,3047
1000:09:29,4000:10:13,0000:09:47,6000:15:50,3000:45:20,5048
8600:11:19,2000:10:48,5000:12:42,6000:10:33,1000:45:23,4049
2500:09:54,7000:11:31,3000:12:01,3000:11:59,0000:45:26,4050
56900:11:44,9000:10:49,7000:11:16,5000:11:35,2000:45:26,5051
4500:10:37,0000:12:56,5000:10:24,0000:11:29,8000:45:27,5052
48700:09:59,1000:10:38,3000:13:14,6000:11:37,2000:45:29,3053
33700:10:21,8000:10:40,0000:14:33,6000:09:54,5000:45:30,1054
37500:10:42,8000:11:15,0000:10:57,5000:12:36,5000:45:31,9055
61700:07:37,7000:13:42,3000:13:07,6000:11:05,8000:45:33,5056
52300:12:26,7000:10:26,7000:12:36,0000:10:10,9000:45:40,5057
39200:11:55,8000:09:55,6000:13:44,5000:10:05,9000:45:41,9058
44400:10:16,9000:11:09,1000:12:32,0000:11:47,7000:45:45,8059
100:11:18,2000:12:31,0000:10:29,6000:11:33,6000:45:52,6060
48400:11:08,1000:12:12,1000:10:48,9000:11:43,6000:45:52,9061
36300:11:39,1000:11:11,3000:09:58,1000:13:05,3000:45:54,0062
63100:08:39,1000:13:15,4000:13:00,4000:10:59,3000:45:54,5063
52500:11:51,9000:11:46,1000:12:04,8000:10:12,0000:45:54,8064
62100:13:47,9000:10:32,4000:11:00,4000:10:34,3000:45:55,2065
32400:10:49,5000:11:24,7000:12:29,8000:11:18,5000:46:02,7066
11700:09:19,5000:10:51,1000:10:58,4000:14:55,3000:46:04,5067
27000:07:25,5000:12:57,1000:14:04,6000:11:41,4000:46:08,7068
30700:11:11,4000:10:52,5000:11:45,2000:12:27,2000:46:16,3069
2200:11:11,2000:12:32,3000:08:46,9000:13:47,6000:46:18,1070
1800:11:34,9000:11:15,2000:11:42,5000:11:48,3000:46:21,0071
26700:09:59,0000:10:55,9000:11:37,9000:13:50,0000:46:23,0072
14000:08:58,5000:12:32,8000:14:29,2000:10:31,3000:46:31,8073
16900:11:21,4000:10:32,3000:11:36,2000:13:01,8000:46:31,8074
37200:13:03,1000:10:19,5000:11:43,1000:11:27,1000:46:33,0075
25200:11:08,1000:11:43,1000:12:08,2000:11:34,1000:46:33,6076
26400:11:40,2000:10:59,5000:10:29,1000:13:25,2000:46:34,2077
600:11:34,8000:10:43,0000:13:16,2000:11:04,1000:46:38,4078
36000:10:33,5000:12:17,1000:13:18,7000:10:31,3000:46:40,7079
39900:11:11,6000:12:38,2000:11:26,0000:11:37,3000:46:53,3080
5200:13:12,8000:11:14,8000:10:28,3000:12:00,5000:46:56,6081
38400:10:40,3000:12:41,5000:11:43,3000:11:52,4000:46:57,7082
59000:12:25,5000:11:55,0000:10:44,4000:11:57,6000:47:02,7083
30200:10:39,9000:11:38,4000:11:45,3000:13:06,1000:47:09,9084
7000:11:43,5000:12:40,6000:10:13,4000:12:36,1000:47:13,7085
61200:14:15,5000:10:53,5000:10:10,6000:11:55,7000:47:15,4086
44600:11:56,6000:10:28,9000:13:01,7000:11:48,8000:47:16,1087
28000:13:06,0000:11:26,1000:10:02,1000:12:43,1000:47:17,4088
47500:11:56,7000:11:42,5000:11:49,6000:11:49,8000:47:18,7089
41600:11:19,2000:13:05,4000:10:30,3000:12:26,2000:47:21,2090
55200:13:17,3000:12:22,2000:11:44,0000:09:59,3000:47:23,0091
14300:12:31,3000:10:46,2000:10:57,8000:13:11,5000:47:27,0092
29800:10:38,4000:14:18,1000:10:52,0000:11:38,9000:47:27,5093
15400:11:21,7000:12:41,9000:11:56,4000:11:29,7000:47:29,8094
35500:12:22,0000:13:06,6000:10:48,9000:11:16,5000:47:34,1095
62800:13:35,2000:11:01,3000:10:54,3000:12:05,4000:47:36,3096
43900:12:36,1000:10:40,5000:10:28,6000:13:51,4000:47:36,8097
13600:11:03,3000:13:19,2000:11:14,4000:12:00,3000:47:37,4098
35000:12:47,3000:11:58,1000:10:56,4000:12:03,4000:47:45,3099
13700:10:15,3000:12:09,7000:11:49,5000:13:30,9000:47:45,50100
58200:12:39,7000:12:33,2000:11:20,0000:11:14,3000:47:47,30101
33200:10:49,5000:12:38,0000:10:49,8000:13:30,0000:47:47,40102
41100:12:12,1000:12:15,1000:12:00,6000:11:20,6000:47:48,50103
44900:11:12,0000:12:11,2000:13:23,0000:11:04,3000:47:50,70104
31000:11:19,0000:10:57,9000:12:42,5000:12:51,4000:47:50,90105
9600:11:08,4000:12:35,5000:12:54,8000:11:13,9000:47:52,80106
48000:11:55,8000:11:46,0000:12:10,5000:12:02,3000:47:54,80107
28500:10:37,8000:12:43,0000:12:38,3000:11:57,1000:47:56,40108
53800:10:48,4000:11:19,4000:14:06,1000:11:42,6000:47:56,70109
42000:13:47,2000:12:04,8000:11:36,4000:10:29,5000:47:58,10110
3400:13:25,1000:11:04,2000:10:44,4000:12:52,6000:48:06,40111
43100:13:52,5000:11:40,8000:11:11,1000:11:21,8000:48:06,40112
3600:10:30,9000:12:17,8000:12:22,0000:12:58,7000:48:09,50113
28600:13:18,7000:12:09,1000:12:10,6000:10:31,9000:48:10,50114
44200:11:40,6000:12:50,2000:11:41,6000:12:00,4000:48:13,00115
39100:11:18,0000:11:52,0000:13:38,9000:11:27,9000:48:16,80116
35700:12:50,5000:10:30,0000:13:19,3000:11:37,7000:48:17,70117
63000:12:48,0000:13:29,9000:10:18,4000:11:42,4000:48:18,80118
40300:13:04,0000:13:05,5000:12:10,2000:10:03,4000:48:23,20119
48500:13:02,0000:11:05,1000:10:00,0000:14:16,4000:48:23,60120
55600:13:16,4000:11:45,5000:10:11,8000:13:11,2000:48:25,00121
39700:11:34,0000:12:06,1000:13:17,7000:11:28,7000:48:26,70122
32800:10:40,1000:13:41,4000:12:57,4000:11:08,6000:48:27,50123
54200:14:09,0000:13:04,3000:11:17,6000:09:56,6000:48:27,60124
14700:12:21,4000:13:11,8000:11:43,5000:11:12,1000:48:28,90125
2900:11:06,7000:09:44,4000:13:39,4000:14:00,5000:48:31,20126
27700:11:44,6000:11:17,6000:13:31,4000:11:59,3000:48:33,10127
10300:11:30,4000:13:45,4000:12:07,9000:11:11,4000:48:35,20128
43700:12:22,6000:14:22,0000:10:55,1000:10:55,9000:48:35,70129
36400:12:11,5000:13:00,2000:10:51,4000:12:35,2000:48:38,40130
57800:12:29,0000:12:54,7000:10:21,4000:13:01,7000:48:46,80131
63800:13:51,8000:12:19,9000:11:41,2000:10:57,2000:48:50,20132
43600:11:47,8000:12:06,8000:12:55,2000:12:01,5000:48:51,50133
50700:13:56,4000:12:54,5000:10:59,5000:11:01,8000:48:52,40134
43800:11:57,2000:13:27,7000:10:45,6000:12:42,6000:48:53,20135
3200:11:56,6000:12:30,4000:11:58,1000:12:31,0000:48:56,30136
34900:12:33,2000:11:26,8000:11:59,6000:13:00,8000:49:00,50137
13500:10:41,5000:15:22,3000:11:42,0000:11:15,7000:49:01,60138
38000:13:27,7000:13:11,9000:10:41,9000:11:40,2000:49:02,00139
4800:11:10,4000:12:39,9000:12:31,7000:12:41,3000:49:03,40140
34100:12:54,8000:11:38,0000:12:17,0000:12:13,6000:49:03,50141
42400:12:45,1000:12:28,6000:11:45,1000:12:05,6000:49:04,50142
35800:12:52,7000:12:07,3000:12:44,7000:11:21,7000:49:06,50143
47700:13:01,2000:10:58,7000:13:46,5000:11:20,3000:49:06,80144
36900:08:05,5000:16:46,2000:13:00,1000:11:15,7000:49:07,70145
65100:12:54,6000:13:21,0000:10:19,2000:12:34,5000:49:09,50146
49700:12:33,1000:13:04,5000:13:06,4000:10:25,6000:49:09,70147
57700:13:45,3000:12:15,0000:11:39,5000:11:30,6000:49:10,50148
41500:13:46,7000:11:48,1000:12:15,2000:11:21,4000:49:11,50149
45500:11:51,4000:12:34,5000:11:45,9000:13:01,4000:49:13,30150
48900:13:26,0000:11:51,3000:11:27,4000:12:29,7000:49:14,50151
60900:14:57,1000:08:54,6000:13:57,6000:11:26,1000:49:15,50152
60000:14:32,4000:11:05,9000:11:54,2000:11:43,3000:49:15,90153
55300:12:12,5000:12:36,6000:13:09,8000:11:18,8000:49:18,00154
53100:14:22,2000:10:38,6000:12:47,9000:11:31,8000:49:20,70155
31300:12:33,1000:12:25,1000:12:49,3000:11:34,2000:49:21,80156
53200:13:21,0000:08:54,9000:14:15,7000:12:51,5000:49:23,20157
39300:13:59,8000:12:35,5000:11:41,2000:11:06,9000:49:23,60158
2600:11:11,2000:12:42,1000:12:17,3000:13:13,0000:49:23,70159
44300:11:01,0000:11:45,9000:13:32,3000:13:08,0000:49:27,20160
12500:12:13,7000:11:31,9000:11:59,5000:13:43,8000:49:29,00161
32300:09:52,1000:14:56,6000:11:28,4000:13:12,4000:49:29,70162
47100:11:09,6000:13:37,4000:12:22,9000:12:20,3000:49:30,30163
59800:11:46,0000:11:03,8000:13:26,1000:13:19,5000:49:35,60164
54000:13:08,5000:11:49,5000:12:57,7000:11:40,1000:49:36,00165
15500:12:10,3000:12:36,0000:12:02,0000:12:52,7000:49:41,10166
2400:12:52,1000:12:26,7000:12:52,3000:11:31,4000:49:42,70167
14200:09:29,2000:12:55,1000:14:41,0000:12:38,9000:49:44,30168
30800:13:00,1000:12:41,7000:11:56,4000:12:09,9000:49:48,30169
25900:12:49,4000:12:09,3000:13:27,4000:11:25,4000:49:51,70170
60300:15:00,4000:10:45,9000:12:17,9000:11:47,4000:49:51,70171
2800:12:10,8000:12:18,8000:12:25,4000:12:57,7000:49:52,80172
3000:11:29,0000:14:58,0000:12:15,8000:11:11,0000:49:53,90173
16200:13:11,1000:13:05,9000:12:08,5000:11:28,6000:49:54,20174
49300:13:08,2000:13:09,1000:10:49,7000:12:47,8000:49:55,00175
34800:12:34,5000:11:25,7000:12:20,1000:13:36,5000:49:56,90176
40800:11:45,1000:12:42,1000:11:24,2000:14:08,7000:50:00,20177
9400:10:46,5000:13:46,5000:13:20,3000:12:08,0000:50:01,40178
42300:13:34,9000:12:17,4000:11:10,6000:13:02,1000:50:05,20179
49800:13:09,8000:12:40,8000:12:03,7000:12:10,8000:50:05,20180
31600:13:38,1000:12:37,8000:13:30,9000:10:19,0000:50:05,90181
34000:12:38,1000:12:54,3000:11:37,6000:12:56,3000:50:06,50182
45600:13:16,6000:11:28,1000:13:01,9000:12:21,0000:50:07,80183
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46100:13:01,0000:12:19,6000:14:52,3000:14:15,5000:54:28,60409
42800:15:01,1000:11:57,0000:16:32,8000:10:58,7000:54:29,70410
62500:15:46,7000:11:35,1000:13:33,9000:13:37,5000:54:33,20411
52200:13:19,2000:13:28,5000:14:33,9000:13:11,6000:54:33,40412
8700:16:25,8000:13:33,2000:11:58,0000:12:39,6000:54:36,80413
48300:15:23,7000:14:06,6000:11:14,0000:13:52,5000:54:37,00414
64400:16:30,6000:13:47,1000:11:42,9000:12:40,6000:54:41,30415
55400:13:39,1000:15:36,4000:11:02,6000:14:26,3000:54:44,50416
10400:12:49,9000:13:41,7000:13:26,5000:14:47,4000:54:45,50417
57900:16:24,8000:13:21,4000:13:15,0000:11:44,1000:54:45,50418
7900:11:10,1000:15:59,4000:13:04,9000:14:37,9000:54:52,40419
54400:14:20,0000:12:36,4000:12:12,3000:15:44,8000:54:53,70420
26800:13:26,5000:15:05,4000:12:59,7000:13:23,6000:54:55,40421
1700:13:29,0000:13:32,6000:14:10,3000:13:44,3000:54:56,30422
25300:14:47,9000:14:17,2000:13:37,2000:12:14,6000:54:57,10423
60600:15:25,0000:14:13,1000:13:46,7000:11:32,1000:54:57,10424
43400:15:00,9000:13:07,2000:13:49,5000:13:00,1000:54:57,90425
45100:13:21,3000:14:55,4000:14:04,6000:12:36,8000:54:58,20426
56200:14:20,0000:13:52,5000:14:03,5000:12:42,0000:54:58,20427
60500:12:58,5000:15:01,8000:13:21,2000:13:36,6000:54:58,30428
50800:14:56,4000:12:15,6000:13:01,8000:14:46,9000:55:00,90429
57400:14:02,0000:14:35,8000:13:25,0000:12:58,1000:55:01,00430
61900:13:29,3000:14:14,3000:13:37,4000:13:43,4000:55:04,60431
29200:14:31,6000:12:05,7000:16:16,5000:12:11,8000:55:05,80432
8300:12:48,2000:12:56,1000:15:47,6000:13:34,2000:55:06,30433
33400:13:03,7000:15:14,1000:12:50,9000:13:58,5000:55:07,40434
5800:13:45,7000:12:36,6000:14:55,7000:13:49,7000:55:07,70435
28900:13:55,8000:16:53,7000:11:40,0000:12:45,3000:55:14,90436
34400:13:05,1000:11:18,1000:13:53,0000:17:01,2000:55:17,50437
27500:16:53,2000:11:26,9000:13:16,2000:13:42,5000:55:19,00438
62600:15:23,4000:12:16,6000:13:17,2000:14:22,7000:55:20,10439
53700:15:17,1000:15:24,5000:11:29,2000:13:09,7000:55:20,50440
50400:15:27,4000:15:47,3000:12:54,1000:11:14,1000:55:23,10441
53300:17:02,0000:12:45,2000:14:05,5000:11:31,7000:55:24,50442
51400:13:27,1000:13:42,2000:13:29,1000:14:48,1000:55:26,60443
30900:14:18,8000:13:56,4000:12:04,4000:15:11,2000:55:31,00444
33900:15:38,6000:11:48,6000:14:39,3000:13:26,0000:55:32,70445
28700:14:00,9000:13:58,7000:13:08,5000:14:26,5000:55:34,70446
16300:13:59,2000:17:54,3000:13:34,7000:10:11,0000:55:39,30447
31700:13:36,1000:13:43,0000:13:36,5000:14:44,8000:55:40,50448
36600:13:20,7000:14:35,4000:14:29,7000:13:14,7000:55:40,60449
60400:13:46,8000:15:49,2000:13:49,3000:12:16,1000:55:41,60450
38500:15:19,6000:12:26,1000:14:11,6000:13:45,9000:55:43,40451
33600:16:15,4000:13:02,2000:13:37,7000:12:50,4000:55:45,90452
41200:15:37,5000:16:28,3000:11:41,5000:11:59,1000:55:46,60453
32200:14:09,5000:14:13,6000:14:26,1000:12:58,1000:55:47,30454
6100:12:44,2000:18:32,4000:13:02,0000:11:36,7000:55:55,50455
42100:15:53,8000:16:42,1000:11:49,5000:11:33,7000:55:59,20456
34200:13:12,6000:14:07,1000:14:34,3000:14:08,4000:56:02,50457
61800:12:51,6000:12:23,7000:12:38,3000:18:09,1000:56:02,70458
30100:14:01,0000:16:12,2000:13:20,2000:12:29,4000:56:02,90459
53600:17:22,1000:14:13,7000:12:34,1000:11:56,5000:56:06,60460
8900:12:12,3000:15:14,9000:15:21,3000:13:18,1000:56:06,70461
56600:13:54,2000:15:42,9000:14:04,6000:12:29,5000:56:11,30462
56100:15:40,5000:12:00,5000:12:59,2000:15:31,1000:56:11,40463
62400:14:25,1000:11:26,8000:14:42,8000:15:40,5000:56:15,30464
26200:13:48,6000:15:55,7000:12:54,1000:13:37,5000:56:16,00465
59300:15:12,8000:14:09,9000:14:32,1000:12:22,6000:56:17,60466
44500:16:09,1000:13:10,4000:13:06,9000:13:53,9000:56:20,50467
12700:14:22,1000:17:11,2000:13:05,7000:11:44,3000:56:23,40468
39600:13:49,2000:14:12,1000:14:48,9000:13:37,7000:56:28,00469
58300:15:47,2000:14:08,1000:13:49,5000:12:46,2000:56:31,10470
52000:16:05,3000:14:54,2000:13:25,4000:12:07,4000:56:32,40471
45400:14:03,4000:17:47,1000:14:12,8000:10:29,8000:56:33,30472
10700:14:25,7000:12:26,4000:14:24,5000:15:23,1000:56:39,80473
31200:14:48,9000:13:47,6000:12:16,2000:15:48,9000:56:41,70474
40700:14:37,8000:17:43,4000:12:20,5000:12:04,2000:56:46,00475
45800:14:34,2000:13:17,1000:14:53,6000:14:02,1000:56:47,10476
35300:13:50,0000:13:47,0000:16:32,5000:12:38,9000:56:48,60477
57000:14:19,9000:12:44,5000:15:29,4000:14:15,4000:56:49,40478
29600:14:40,4000:12:27,2000:14:13,2000:15:29,9000:56:50,80479
40200:13:12,9000:14:34,3000:15:08,3000:13:59,7000:56:55,30480
35600:18:11,5000:16:14,6000:11:13,3000:11:18,9000:56:58,50481
27100:11:52,2000:15:16,9000:15:12,4000:14:37,3000:56:58,90482
64000:14:17,8000:17:21,3000:12:33,6000:12:47,6000:57:00,50483
32000:16:04,6000:16:05,7000:15:39,3000:09:10,9000:57:00,60484
34700:16:43,8000:14:14,3000:12:59,4000:13:05,5000:57:03,10485
61600:13:44,5000:14:52,3000:11:48,4000:16:43,3000:57:08,70486
61500:16:20,1000:14:58,3000:11:24,4000:14:27,7000:57:10,60487
6900:16:50,7000:15:17,2000:11:12,1000:13:56,4000:57:16,60488
7600:15:21,2000:12:04,4000:13:32,6000:16:19,9000:57:18,30489
56400:14:30,0000:14:52,2000:12:32,9000:15:25,2000:57:20,40490
55500:11:22,1000:14:14,6000:15:25,0000:16:19,4000:57:21,30491
13800:17:44,7000:12:17,1000:13:26,0000:14:01,9000:57:29,90492
51600:14:30,6000:16:02,3000:14:28,9000:12:29,6000:57:31,50493
32100:13:05,5000:15:00,6000:14:57,7000:14:30,5000:57:34,50494
57500:14:02,1000:16:08,9000:16:21,7000:11:02,8000:57:35,70495
29500:13:23,6000:13:50,8000:15:06,1000:15:21,0000:57:41,50496
60200:12:24,7000:12:25,1000:17:27,7000:15:26,1000:57:43,80497
45900:14:28,9000:13:14,2000:12:35,1000:17:32,0000:57:50,30498
43500:12:57,5000:13:32,3000:18:33,7000:12:49,7000:57:53,40499
46500:12:53,5000:13:55,1000:13:30,6000:17:34,7000:57:54,10500
15600:17:16,2000:14:46,5000:12:01,8000:13:56,1000:58:00,60501
37600:14:23,6000:15:26,4000:12:50,3000:15:21,2000:58:01,70502
30600:13:44,5000:14:50,5000:14:22,7000:15:05,3000:58:03,10503
48200:14:34,8000:17:02,4000:13:00,3000:13:29,1000:58:06,80504
46300:12:27,7000:15:06,3000:16:19,4000:14:13,6000:58:07,10505
41300:14:15,0000:14:12,0000:17:23,7000:12:16,9000:58:07,70506
38200:14:33,7000:14:41,0000:13:13,0000:15:43,5000:58:11,30507
30000:19:03,2000:15:14,8000:11:01,2000:12:52,8000:58:12,10508
58900:19:43,6000:12:26,4000:14:23,1000:11:38,9000:58:12,10509
31400:12:24,7000:17:03,6000:13:23,8000:15:23,5000:58:15,70510
57100:13:53,7000:17:33,0000:14:28,7000:12:23,7000:58:19,20511
58600:12:34,6000:14:51,6000:16:02,7000:14:58,6000:58:27,70512
40600:15:17,9000:14:03,8000:13:25,1000:15:44,6000:58:31,40513
40500:13:45,4000:15:59,8000:13:46,3000:15:00,9000:58:32,50514
6700:15:22,0000:15:16,9000:13:12,3000:14:48,1000:58:39,40515
27400:15:26,0000:12:58,9000:15:19,3000:14:59,8000:58:44,10516
49500:14:32,8000:15:41,4000:14:48,4000:13:46,5000:58:49,20517
12900:13:13,0000:19:08,7000:12:32,8000:13:57,4000:58:52,00518
38100:15:51,0000:15:36,8000:12:26,1000:15:00,9000:58:54,90519
50200:13:56,9000:17:58,6000:12:34,1000:14:27,0000:58:56,80520
45200:14:38,2000:13:49,3000:17:02,9000:13:42,8000:59:13,40521
29700:14:03,6000:17:58,5000:13:05,3000:14:06,5000:59:14,00522
51700:13:16,1000:12:07,7000:15:48,1000:18:18,2000:59:30,20523
44800:11:53,6000:18:20,9000:14:04,7000:15:11,5000:59:30,70524
57600:15:24,0000:15:03,9000:15:27,2000:13:35,9000:59:31,20525
7700:13:26,1000:14:43,3000:13:06,4000:18:17,4000:59:33,30526
37800:17:54,0000:14:17,5000:13:48,5000:13:40,5000:59:40,70527
58100:17:20,6000:14:15,8000:13:27,8000:14:39,2000:59:43,50528
4600:18:52,3000:14:09,4000:14:42,6000:12:04,6000:59:49,10529
34300:12:13,4000:14:30,9000:15:48,9000:17:21,3000:59:54,70530
36200:15:05,1000:18:10,9000:14:00,7000:12:38,3000:59:55,10531
12600:19:02,9000:15:24,5000:12:57,8000:13:24,0001:00:49,50532
30500:18:47,1000:14:05,0000:15:03,5000:12:54,8001:00:50,60533
59900:13:39,7000:15:12,9000:15:01,4000:16:57,3001:00:51,40534
56000:18:39,1000:14:36,0000:15:58,7000:11:43,9001:00:57,90535
40100:16:33,7000:17:16,9000:12:54,2000:14:31,9001:01:16,80536
17000:16:01,2000:18:05,7000:13:50,9000:13:25,7001:01:23,70537
5700:18:16,5000:13:25,4000:14:57,9000:14:44,0001:01:23,90538
36800:16:42,8000:14:30,7000:12:53,5000:17:25,9001:01:33,00539
63600:16:11,9000:16:41,3000:15:48,3000:12:56,1001:01:37,80540
41400:18:08,0000:15:18,5000:12:28,2000:15:46,4001:01:41,10541
51000:14:34,1000:15:08,4000:17:45,7000:14:53,9001:02:22,20542
37900:13:50,1000:16:34,7000:13:01,6000:19:11,6001:02:38,10543
64200:14:59,1000:13:20,1000:19:22,5000:15:21,6001:03:03,30544
48100:15:30,7000:14:33,0000:14:58,0000:18:28,0001:03:29,80545
8200:16:23,7000:14:20,7000:13:32,7000:20:28,1001:04:45,40546
29900:15:10,3000:18:03,0000:18:40,0000:14:41,4001:06:34,90547
8400:17:14,2000:18:44,2000:16:57,7000:15:04,7001:08:01,00548
16500:18:36,0000:15:40,0000:18:51,3000:15:34,1001:08:41,50549
4400:26:53,9000:12:49,8000:12:30,10__550
9000:15:08,7000:13:22,6000:14:30,10__551
25600:14:49,5000:13:53,20___552
26000:07:22,9000:24:11,20___553
28300:11:33,7000:24:21,0000:15:05,90__554
42700:17:38,4000:18:28,6000:19:30,20__555
46900:15:33,1000:20:02,1000:23:11,70 __556
54300:13:39,7000:10:58,0000:27:31,00 __557

What about the Kleeblattlauf 2016 results?

And one more thing: naturally, I got curious and checked last year’s result table for similarly ultrafast times and, apparently, some people already got “creative” back then. More precisely, three times had fourth-lap times of between four and five minutes in the 2016 event, but that was a little less obvious because all of them ranked beyond 35th.

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