New Mexico St.
Men - Women
2012 - 2013 - 2014
Switch to All-time Team Page
RankNameGradeRating
1,270  Daniel Rubio JR 34:13
1,755  Nathan Starr JR 34:54
2,199  Evan Bekes JR 35:43
2,247  Erik Perez JR 35:49
2,855  Bryan Simison SR 37:47
2,943  Jason Saiz SO 38:19
2,965  Stephen Wallace FR 38:28
3,136  Christopher Silva SO 40:21
National Rank #244 of 311
Mountain Region Rank #17 of 18
Chance of Advancing to Nationals 0.0%
Most Likely Finish 17th 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 0.0%
Top 10 in Regional 0.0%
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 Daniel Rubio Nathan Starr Evan Bekes Erik Perez Bryan Simison Jason Saiz Stephen Wallace Christopher Silva
Kachina Classic 09/28 1325 34:42 34:30 35:55 35:26 37:59 38:47 38:06 36:53
Rim Rock Farm Classic 10/05 1334 34:22 34:52 35:03 36:01 37:29 38:51 38:30 40:08
Santa Clara Bronco Invitational 10/19 1344 33:57 35:55 35:03 34:56 38:20
WAC Championships 11/02 1360 34:00 34:48 37:09 35:36 37:33 37:52 41:50
Mountain Region Championships 11/15 1379 34:19 34:39 36:00 37:12 37:59





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 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 0.0%
Region Championship 100% 17.0 535 0.2 99.8



NCAA Tournament Simulation - Individual Results



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
Daniel Rubio 88.8
Nathan Starr 100.7
Evan Bekes 111.0
Erik Perez 112.1
Bryan Simison 119.8
Jason Saiz 121.6
Stephen Wallace 122.1




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 2
3 3
4 4
5 5
6 6
7 7
8 8
9 9
10 10
11 11
12 12
13 13
14 14
15 15
16 0.2% 0.2 16
17 99.8% 99.8 17
18 18
Total 100% 0.0% 100.0 0.0 0.0




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.



Received By BeatingChance ReceivedAverage If >0Average
Total 0.0
Minimum 0.0
Maximum 0.0