BAYSTATE HALF MARATHON
|
Place |
Name |
Time |
Pace |
Age |
Age-Graded |
Points |
Notes |
|
16 |
Sawyer, Mike |
1:22:30 |
6:18 |
48 |
1:14:13 |
15 |
2nd M40-49 (of 166) |
|
19 |
Glavin, Jim |
1:23:59 |
6:25 |
44 |
1:18:05 |
14 |
3rd M40-49 (of 166) |
|
31 |
Tully, Keith |
1:26:41 |
6:37 |
38 |
1:24:31 |
13 |
|
|
110 |
Leonard, Andrea |
1:37:55 |
7:29 |
45 |
1:29:26 |
14 |
5th F40-49 (of 182) |
|
204 |
Leonard, Rich |
1:44:10 |
7:57 |
55 |
1:28:12 |
12 |
|
|
467 |
Divari, Katya |
1:56:20 |
8:53 |
47 |
1:47:43 |
10 |
|
|
544 |
Kelleher-Ross, Christine |
1:59:05 |
9:05 |
48 |
1:44:52 |
12 |
PR! By 19:09 |
|
570 |
Howard, Kendra |
1:59:54 |
9:09 |
35 |
1:58:26 |
8 |
|
|
575 |
Oleski, Karin |
2:00:05 |
9:10 |
61 |
1:28:44 |
15 |
2nd F60-69; under USATF GL* |
|
672 |
Boissoneault, Diane |
2:02:59 |
9:23 |
50 |
1:45:37 |
11 |
PR! |
|
860 |
Siciliano, Tony |
2:10:18 |
9:57 |
54 |
1:51:18 |
9 |
|
|
1024 |
Richardson, Susan |
2:19:03 |
10:37 |
48 |
2:02:37 |
7 |
PR! |
1267 total
BAYSTATE MARATHON
|
Place |
Name |
Time |
|
|
Age |
|
Points |
Notes |
|
65 |
Scovotti, Paul |
2:57:47 |
1:28:47 |
(1:07:33 2:12:44) |
36 |
1:28:42 |
12 |
BQ |
|
115 |
Vogel, Matt |
3:07:01 |
1:33:30 |
(1:11:35 2:24:46) |
28 |
1:33:30 |
11 |
BQ last 6.2 42:15 |
|
714 |
Henderson, Jess |
3:44:17 |
1:52:08 |
(1:23:05 2:49:25) |
32 |
1:45:43 |
9 |
|
|
734 |
Bauer, Kara |
3:45:53 |
1:52:57 |
(1:25:10 2:51:50) |
44 |
1:44:21 |
13 |
BQ |
|
732 |
Fields, Jen |
3:46:06 |
1:53:04 |
(1:24:00 2:50:39) |
39 |
1:49:15 |
12 |
BQ and PR by 6:10! |
|
952 |
Meister, Glenn |
3:57:23 |
1:58:42 |
(1:29:07 3:00:44) |
47 |
1:47:40 |
10 |
|
|
1413 |
Gannon, Mike |
4:50:07 |
2:25;03 |
(1:37:57 3:28:50) |
49 |
2:09:23 |
12 |
|
1561 total
If you ran
this race but don't see your name here, please contact Tom or Jim by Nov. 15.
(Because this does happen -- members not noticed in the results -- the above
point totals, therefore have to be considered tentative until 15 days after the
newsletter is mailed.)
*
"under USATF GL" means the time is under the USAT&F guideline for that age and
gender