Eastern Kentucky
Men -
Women
2014
-
2015 -
2016
Switch to All-time Team Page
Rank | Name | Grade | Rating |
60 |
Jaime Perales |
JR |
31:36 |
86 |
Erick Rotich |
FR |
31:45 |
90 |
Amos Kosgey |
JR |
31:47 |
187 |
Ambrose Maritim |
JR |
32:12 |
325 |
Sergio Marcuello |
JR |
32:37 |
328 |
Ronald Korir |
SO |
32:37 |
345 |
Luis Luna |
JR |
32:40 |
367 |
Jamaine Coleman |
FR |
32:43 |
397 |
Luka Ndungu |
JR |
32:47 |
856 |
Harry Earl |
JR |
33:35 |
866 |
Ben Turner |
SR |
33:36 |
1,104 |
Jakob Abrahamsen |
SO |
33:56 |
2,515 |
Jack Gaddie |
SR |
36:40 |
|
National Champion |
0.0% |
Top 5 at Nationals |
1.4% |
Top 10 at Nationals |
16.4% |
Top 20 at Nationals |
63.4% |
Regional Champion |
14.4% |
Top 5 in Regional |
87.1% |
Top 10 in Regional |
100.0% |
Top 20 in Regional |
100.0% |
|
Race Performance Ratings
Times listed are adjusted ratings based on performance compared to other runners in race.
Race | Date | Team Rating | |
Jaime Perales |
Erick Rotich |
Amos Kosgey |
Ambrose Maritim |
Sergio Marcuello |
Ronald Korir |
Luis Luna |
Jamaine Coleman |
Luka Ndungu |
Harry Earl |
Ben Turner |
Panorama Farms Invitational |
09/26 |
983 |
|
|
|
|
|
32:22 |
|
32:55 |
33:23 |
33:00 |
33:32 |
Greater Louisville Classic (Gold) |
10/03 |
788 |
32:28 |
32:04 |
|
32:16 |
32:49 |
32:32 |
|
32:47 |
32:40 |
33:34 |
|
Wisconsin adidas Invitational |
10/16 |
646 |
31:47 |
31:37 |
|
32:24 |
|
32:41 |
32:20 |
32:37 |
32:44 |
|
|
D1 Pre-Nationals (Black) |
10/17 |
1151 |
|
|
|
|
32:23 |
|
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|
|
34:09 |
33:39 |
Ohio Valley Championships |
10/31 |
775 |
|
32:02 |
32:07 |
|
32:25 |
32:58 |
32:47 |
|
32:39 |
|
33:37 |
Southeast Region Championships |
11/13 |
430 |
31:09 |
31:35 |
31:08 |
31:56 |
32:49 |
|
33:06 |
32:53 |
|
|
|
NCAA Championship |
11/21 |
547 |
31:15 |
31:45 |
32:03 |
32:10 |
32:51 |
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|
32:32 |
|
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|
NCAA Tournament Simulation
Based on results of 5,000 simulations of the NCAA Tournament.
Numbers in tables represent percentage of times each outcome occured during simulation.
Team Results
| Advances to Round | Ave Finish | Ave Score |
Finishing Place |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
28 |
29 |
30 |
31 |
NCAA Championship |
88.1% |
16.6 |
440 |
|
|
0.1 |
0.4 |
0.9 |
1.4 |
2.2 |
3.5 |
4.0 |
4.1 |
4.2 |
4.7 |
4.8 |
4.9 |
5.1 |
4.6 |
5.1 |
4.5 |
4.3 |
4.8 |
3.5 |
3.7 |
3.6 |
3.5 |
2.6 |
2.5 |
1.8 |
1.6 |
1.3 |
0.4 |
0.2 |
Region Championship |
100% |
3.4 |
112 |
14.4 |
20.2 |
21.2 |
17.1 |
14.3 |
10.4 |
2.2 |
0.3 |
0.0 |
0.0 |
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Individual Results
NCAA Championship | Advances to Round | Ave Finish |
Finishing Place |
---|
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
Jaime Perales |
92.7% |
57.2 |
|
|
|
0.0 |
0.0 |
0.1 |
0.0 |
0.2 |
0.2 |
0.2 |
0.2 |
0.3 |
0.3 |
0.2 |
0.5 |
0.7 |
0.7 |
0.4 |
0.9 |
0.7 |
1.0 |
0.9 |
0.9 |
1.0 |
0.9 |
Erick Rotich |
89.5% |
76.8 |
|
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|
0.0 |
|
0.1 |
0.0 |
0.0 |
0.1 |
0.1 |
0.2 |
0.1 |
0.1 |
0.1 |
0.2 |
0.2 |
0.3 |
0.2 |
0.3 |
0.4 |
Amos Kosgey |
89.2% |
80.2 |
|
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0.0 |
|
0.0 |
0.1 |
0.0 |
0.1 |
0.1 |
0.0 |
0.1 |
0.1 |
0.0 |
0.1 |
0.3 |
0.2 |
0.1 |
0.2 |
Ambrose Maritim |
88.1% |
141.6 |
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Sergio Marcuello |
88.1% |
191.0 |
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Ronald Korir |
88.1% |
192.5 |
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Luis Luna |
88.1% |
195.7 |
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Regional | Ave Finish |
Finishing Place |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
Jaime Perales |
9.9 |
0.5 |
1.5 |
4.2 |
5.1 |
6.8 |
6.4 |
6.8 |
6.9 |
6.2 |
6.1 |
5.3 |
4.9 |
4.1 |
3.8 |
3.3 |
2.9 |
2.9 |
2.6 |
2.8 |
2.2 |
2.0 |
1.6 |
1.7 |
1.3 |
1.0 |
Erick Rotich |
14.3 |
0.0 |
0.5 |
0.7 |
1.1 |
2.0 |
3.3 |
4.3 |
4.4 |
5.4 |
5.6 |
5.5 |
5.3 |
5.2 |
5.0 |
5.1 |
4.5 |
3.9 |
3.8 |
3.5 |
3.2 |
2.7 |
2.6 |
2.4 |
2.2 |
2.1 |
Amos Kosgey |
15.3 |
0.0 |
0.2 |
0.5 |
1.3 |
1.9 |
2.5 |
3.4 |
4.3 |
4.7 |
5.7 |
5.1 |
5.1 |
4.6 |
5.2 |
4.5 |
4.4 |
4.5 |
3.6 |
3.9 |
3.5 |
3.1 |
3.0 |
3.0 |
2.5 |
1.9 |
Ambrose Maritim |
27.1 |
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|
0.1 |
0.0 |
0.1 |
0.1 |
0.2 |
0.5 |
0.6 |
1.0 |
1.1 |
2.1 |
2.4 |
3.2 |
3.9 |
3.9 |
4.0 |
4.3 |
4.8 |
4.4 |
4.4 |
Sergio Marcuello |
43.2 |
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0.0 |
0.1 |
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0.1 |
0.1 |
0.2 |
0.5 |
0.5 |
0.7 |
Ronald Korir |
43.4 |
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0.0 |
|
0.0 |
0.0 |
0.1 |
0.2 |
0.4 |
0.5 |
0.5 |
0.6 |
Luis Luna |
45.9 |
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0.0 |
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0.0 |
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0.0 |
0.2 |
0.2 |
0.3 |
0.2 |
NCAA Championship Selection Detail
|
|
|
|
Total |
|
Region Finish |
Chance of Finishing |
Chance of Advancing |
Auto |
|
At Large Selection |
|
No Adv |
Auto |
At Large |
Region Finish |
1 |
2 |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
1 |
14.4% |
100.0% |
14.4 |
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14.4 |
|
1 |
2 |
20.2% |
100.0% |
|
20.2 |
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20.2 |
|
2 |
3 |
21.2% |
98.0% |
| |
3.2 |
1.8 |
1.2 |
1.3 |
1.9 |
1.7 |
2.3 |
2.0 |
1.3 |
1.1 |
1.3 |
1.5 |
0.2 |
0.4 |
|
20.8 |
3 |
4 |
17.1% |
94.6% |
| |
|
1.3 |
1.2 |
1.0 |
1.3 |
1.4 |
1.6 |
1.5 |
1.5 |
1.6 |
1.4 |
1.6 |
0.7 |
0.9 |
|
16.1 |
4 |
5 |
14.3% |
81.7% |
| |
|
|
0.4 |
0.8 |
0.8 |
0.8 |
1.1 |
1.2 |
1.3 |
1.5 |
1.2 |
1.3 |
1.3 |
2.6 |
|
11.7 |
5 |
6 |
10.4% |
43.2% |
| |
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0.1 |
0.2 |
0.4 |
0.4 |
0.5 |
0.7 |
0.8 |
1.4 |
5.9 |
|
4.5 |
6 |
7 |
2.2% |
22.2% |
| |
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0.0 |
0.0 |
0.0 |
0.1 |
0.1 |
0.1 |
0.1 |
1.7 |
|
0.5 |
7 |
8 |
0.3% |
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0.3 |
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8 |
9 |
0.0% |
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0.0 |
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9 |
10 |
0.0% |
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0.0 |
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10 |
11 |
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11 |
12 |
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12 |
13 |
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13 |
14 |
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14 |
15 |
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16 |
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16 |
17 |
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18 |
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20 |
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21 |
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21 |
22 |
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22 |
23 |
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23 |
24 |
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24 |
25 |
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25 |
26 |
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27 |
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27 |
28 |
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28 |
29 |
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29 |
30 |
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30 |
31 |
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31 |
32 |
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32 |
33 |
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33 |
34 |
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34 |
35 |
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35 |
36 |
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36 |
37 |
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37 |
38 |
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38 |
39 |
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39 |
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40 |
41 |
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41 |
42 |
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42 |
43 |
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43 |
44 |
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44 |
45 |
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45 |
46 |
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46 |
47 |
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47 |
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Total |
100% |
88.1% |
14.4 |
20.2 |
3.2 |
3.1 |
2.8 |
3.1 |
4.1 |
4.0 |
5.2 |
5.2 |
4.5 |
4.8 |
4.7 |
5.2 |
3.7 |
11.9 |
34.6 |
53.6 |
Points
At large teams are selected based on the number of wins (points) against teams already in the championships. As a result, advancement is predicated on accumulating enough points before the last at-large selection. Accordingly, the points below are the total number of wins against automatic qualifiers or teams selected in the at-large process before the last selection.
Minimum, maximum, and average points are number seen in 5,000 simulations of the NCAA Tournament.