Louisville
Men - Women
2012 - 2013 - 2014
Switch to All-time Team Page
RankNameGradeRating
43  Tyler Byrne JR 31:28
127  Ernest Kibet SO 31:58
327  Mattias Wolter SR 32:37
659  Japhet Kipkoech SO 33:17
697  Stacey Eden SR 33:21
1,107  Andrew Stewart JR 34:00
1,281  Scott Anderson SR 34:14
1,479  Jonathan Reynolds FR 34:30
1,932  Dominic Perronie JR 35:12
2,107  Thomas Cave FR 35:30
National Rank #47 of 311
Southeast Region Rank #6 of 47
Chance of Advancing to Nationals 0.1%
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 12.2%
Top 10 in Regional 97.5%
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 Tyler Byrne Ernest Kibet Mattias Wolter Japhet Kipkoech Stacey Eden Andrew Stewart Scott Anderson Jonathan Reynolds Dominic Perronie Thomas Cave
Greater Louisville Classic (Gold) 10/05 820 32:15 31:42 32:40 33:15 32:51 33:43 34:05 34:06 35:12 35:30
Wisconsin adidas Invitational 10/19 780 31:20 31:59 32:30 33:37 33:19 34:07 34:24 34:07
AAC Championships 11/02 915 31:49 32:31 33:10 33:19 33:05 34:02 35:19
Southeast Region Championships 11/15 710 31:25 31:32 32:24 32:58 36:02 34:12 34:56
NCAA Championship 11/23 31:10 32:19





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 0.1% 27.4 606 0.0 0.0 0.0 0.0 0.0
Region Championship 100% 7.2 231 0.0 0.3 3.0 8.9 18.0 33.1 19.9 10.1 4.1 2.0 0.4 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
Tyler Byrne 93.1% 53.5 0.0 0.1 0.1 0.2 0.2 0.3 0.5 0.5 0.7 0.9 0.9 0.8 0.9 0.7 0.9 1.1 1.1 1.2 1.3 1.5 1.3 1.2 1.2
Ernest Kibet 11.4% 96.2 0.0 0.1
Mattias Wolter 0.1% 160.5
Japhet Kipkoech 0.1% 203.5
Stacey Eden 0.1% 221.5
Andrew Stewart 0.1% 244.8
Scott Anderson 0.1% 245.5


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
Tyler Byrne 5.1 1.8 6.8 12.7 14.3 13.6 11.0 7.6 5.9 4.2 3.5 2.8 2.1 1.8 1.4 1.2 1.4 0.8 0.6 1.0 0.8 0.6 0.5 0.6 0.4 0.4
Ernest Kibet 14.8 0.1 0.1 0.6 1.4 2.7 4.1 5.8 5.4 5.1 5.9 5.4 5.4 4.6 4.1 3.7 3.6 3.4 3.5 3.4 3.0 2.6 2.4 2.2 1.7
Mattias Wolter 38.6 0.1 0.0 0.0 0.1 0.1 0.2 0.3 0.4 0.5 0.7 1.0 1.2 1.4 1.9 1.7 2.3
Japhet Kipkoech 76.4
Stacey Eden 80.5
Andrew Stewart 123.2
Scott Anderson 136.8




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 0.0% 100.0% 0.0 0.0 2
3 0.3% 23.1% 0.0 0.0 0.0 0.2 0.1 3
4 3.0% 3.0 4
5 8.9% 8.9 5
6 18.0% 18.0 6
7 33.1% 33.1 7
8 19.9% 19.9 8
9 10.1% 10.1 9
10 4.1% 4.1 10
11 2.0% 2.0 11
12 0.4% 0.4 12
13 0.1% 0.1 13
14 0.0% 0.0 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
41 41
42 42
43 43
44 44
45 45
46 46
47 47
Total 100% 0.1% 0.0 0.0 0.0 0.0 99.9 0.0 0.1




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
Minnesota 17.1% 1.0 0.2
Tennessee 7.8% 2.0 0.2
Missouri 0.0% 1.0 0.0
Georgia Tech 0.0% 1.0 0.0
Total 0.3
Minimum 0.0
Maximum 3.0