Georgia Tech
Men - Women
2014 - 2015 - 2016
Switch to All-time Team Page
RankNameGradeRating
290  Brandon Lasater SR 32:32
402  Jeremy Greenwald SR 32:47
500  Nahom Solomon SO 32:59
573  Zane Coburn JR 33:07
643  Matthew Munns FR 33:14
683  Alex Grady SO 33:19
876  Patrick Fleming SO 33:37
1,128  Chris Burnett JR 33:58
1,499  Christian Bowles FR 34:30
1,633  Alex Dunlap FR 34:43
1,648  Tanner Shaw FR 34:45
1,665  Witt Nix SO 34:47
1,860  Miles Dayoub SO 35:07
1,948  Ryan Miller FR 35:15
2,348  Austin Veith SO 36:11
National Rank #79 of 308
South Region Rank #6 of 40
Chance of Advancing to Nationals 2.3%
Most Likely Finish 5th 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 0.3%
Top 5 in Regional 72.6%
Top 10 in Regional 99.9%
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 Brandon Lasater Jeremy Greenwald Nahom Solomon Zane Coburn Matthew Munns Alex Grady Patrick Fleming Chris Burnett Christian Bowles Alex Dunlap Tanner Shaw
Gene Mullin Invitational 10/10 1226 33:54 34:31 34:48 34:16
D1 Pre-Nationals (Red) 10/17 1001 32:57 32:32 32:57 33:24 33:09 33:02 33:22
Berry College Invitational 10/17 1262 34:28 34:34
ACC Championships 10/30 890 31:59 32:41 32:45 32:48 33:12 33:15 33:27 34:06 35:30
South Region Championships 11/13 1081 32:38 33:29 33:27 33:12 33:28 33:59 34:29





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 2.3% 30.7 812 0.1 0.4 1.7
Region Championship 100% 4.9 156 0.3 2.0 15.2 24.3 30.9 14.5 8.0 3.5 0.9 0.3 0.1 0.0



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
Brandon Lasater 9.1% 163.8
Jeremy Greenwald 2.6% 188.0
Nahom Solomon 2.3% 202.8
Zane Coburn 2.3% 216.3
Matthew Munns 2.3% 226.5
Alex Grady 2.3% 227.8
Patrick Fleming 2.3% 239.6


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
Brandon Lasater 15.8 0.0 0.2 0.5 1.0 1.8 2.9 3.5 4.7 4.5 6.0 5.2 5.4 5.5 5.0 4.3 4.2 4.4 4.0 3.6 3.4 2.9 2.3 2.4 2.0
Jeremy Greenwald 23.6 0.1 0.1 0.5 0.4 0.9 1.3 2.0 2.5 3.0 3.2 4.3 4.0 4.3 4.2 4.3 4.3 4.4 3.9 3.3 3.2
Nahom Solomon 30.9 0.0 0.1 0.0 0.1 0.1 0.3 0.5 0.7 1.1 1.3 1.6 2.3 2.9 3.0 3.2 3.1 3.7 3.4 3.8
Zane Coburn 36.9 0.0 0.0 0.0 0.1 0.1 0.3 0.4 0.5 0.6 0.9 1.1 1.4 1.7 2.3 2.4 2.5
Matthew Munns 43.0 0.0 0.1 0.2 0.1 0.2 0.3 0.4 0.6 0.8 1.0 1.6
Alex Grady 47.3 0.0 0.0 0.1 0.1 0.1 0.1 0.2 0.3 0.4 0.3
Patrick Fleming 62.5




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 0.3% 100.0% 0.3 0.3 1
2 2.0% 100.0% 2.0 2.0 2
3 15.2% 15.2 3
4 24.3% 24.3 4
5 30.9% 30.9 5
6 14.5% 14.5 6
7 8.0% 8.0 7
8 3.5% 3.5 8
9 0.9% 0.9 9
10 0.3% 0.3 10
11 0.1% 0.1 11
12 0.0% 0.0 12
13 13
14 14
15 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
Total 100% 2.3% 0.3 2.0 97.7 2.3 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
North Texas 0.5% 1.0 0.0
Total 0.0
Minimum 0.0
Maximum 1.0