Vanderbilt
Men - Women
2016 - 2017 - 2018
Switch to All-time Team Page
RankNameGradeRating
270  Maddie Criscione SR 20:27
383  Megan Huebner SR 20:40
637  Gillian Mortimer FR 21:03
661  Kendall Derry SO 21:05
710  Reagan Bustamante SO 21:09
792  Devon Grisbaum JR 21:14
827  Mailin Struck SO 21:17
855  Ginger Hutton JR 21:18
1,072  Anna Grace Morgan FR 21:33
1,404  Kacie Breeding FR 21:54
National Rank #92 of 348
South Region Rank #8 of 47
Chance of Advancing to Nationals 0.6%
Most Likely Finish 7th at Regional


National Champion 0.0%
Top 5 at Nationals 0.0%
Top 10 at Nationals 0.0%
Top 20 at Nationals 0.0%


Regional Champion 0.0%
Top 5 in Regional 25.8%
Top 10 in Regional 97.9%
Top 20 in Regional 100.0%


Race Performance Ratings


Times listed are adjusted ratings based on performance compared to other runners in race.


RaceDateTeam Rating Maddie Criscione Megan Huebner Gillian Mortimer Kendall Derry Reagan Bustamante Devon Grisbaum Mailin Struck Ginger Hutton Anna Grace Morgan Kacie Breeding
Commodore Classic 09/16 803 20:22 20:12 20:59 20:55 20:45 21:23 21:08 20:39 22:14 21:55
Louisville Classic (Gold) 09/30 898 20:38 20:25 20:52 20:47 21:05 20:51 21:24 21:22 21:11 21:54
Nuttycombe Invitational 10/13 1050 20:33 20:58 21:20 21:28 20:57 21:19 21:41
SEC Championship 10/27 927 20:22 20:44 20:55 20:41 21:37 21:11 21:25 21:36 21:35 21:55
South Region Championships 11/10 1000 20:17 20:55 21:13 21:05 21:07 21:29 21:28





NCAA Tournament Simulation


Based on results of 2,000 simulations of the NCAA Tournament. Numbers in tables represent percentage of times each outcome occured during simulation.



Team Results

Advances to RoundAve FinishAve 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 0.6% 29.9 739 0.2 0.1 0.1 0.3
Region Championship 100% 6.9 228 0.5 3.3 8.1 13.9 14.7 18.4 16.7 17.2 5.2 1.2 0.7 0.2 0.1 0.1



Individual Results

NCAA ChampionshipAdvances to RoundAve 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
Maddie Criscione 5.9% 144.0
Megan Huebner 0.9% 170.5
Gillian Mortimer 0.6% 215.0
Kendall Derry 0.6% 228.0
Reagan Bustamante 0.6% 218.0
Devon Grisbaum 0.6% 221.0
Mailin Struck 0.6% 235.0


RegionalAve 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
Maddie Criscione 20.5 0.1 0.3 0.7 1.0 1.2 1.4 2.0 2.1 2.4 3.1 3.0 3.3 3.2 3.8 3.9 4.2 4.4 3.8 4.6 4.0 3.7 3.3 3.4 3.7
Megan Huebner 31.3 0.1 0.2 0.1 0.2 0.3 0.5 0.4 0.7 0.9 0.9 1.3 1.6 2.2 2.0 2.5 2.5 3.0 2.6 2.8 3.0 2.9
Gillian Mortimer 56.4 0.1 0.1 0.1 0.2 0.2 0.2 0.3 0.4
Kendall Derry 58.8 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.3 0.3
Reagan Bustamante 63.3 0.1 0.1 0.1 0.1 0.2 0.1 0.1 0.2
Devon Grisbaum 71.4 0.1 0.1 0.1
Mailin Struck 75.4 0.1




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 1
2 0.5% 100.0% 0.5 0.5 2
3 3.3% 4.5% 0.1 0.1 0.1 3.2 0.2 3
4 8.1% 8.1 4
5 13.9% 13.9 5
6 14.7% 14.7 6
7 18.4% 18.4 7
8 16.7% 16.7 8
9 17.2% 17.2 9
10 5.2% 5.2 10
11 1.2% 1.2 11
12 0.7% 0.7 12
13 0.2% 0.2 13
14 0.1% 0.1 14
15 0.1% 0.1 15
16 16
17 17
18 18
19 19
20 20
21 21
22 22
23 23
24 24
25 25
26 26
27 27
28 28
29 29
30 30
31 31
32 32
33 33
34 34
35 35
36 36
37 37
38 38
39 39
40 40
41 41
42 42
43 43
44 44
45 45
46 46
47 47
Total 100% 0.6% 0.5 0.1 0.1 0.1 99.4 0.5 0.2




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 2,000 simulations of the NCAA Tournament.



Received By BeatingChance ReceivedAverage If >0Average
Eastern Michigan 29.6% 1.0 0.3
Missouri 5.0% 1.0 0.1
Auburn 0.4% 1.0 0.0
Total 0.3
Minimum 0.0
Maximum 2.0