North Brooklyn Runners: A Community Running Group Serving Williamsburg, Greenpoint, Bushwick, and Beyond!


NBR McCarren Park Track Classic – Next Friday! by nbrwebjohn

mccarren_park_classic


Fifth Annual NBR McCarren Park Track Classic

*Friday, April 22, 2016
6:00 PM

Register Now!

McCarren Park Track
Driggs Avenue between Lorimer St. & Union Ave.


Visit our McCarren Park Track Classic Page for all details.

* Due to our track meet coinciding with the start of Passover, we will hold additional heats of the mile and relays on Thursday April 21st 2016 at 7:30 pm

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NYRR Club Points Race- Scotland Run 10K 2016 Race Report by nbrwebjohn
April 4, 2016, 11:08 pm
Filed under: Club Points Racing, Races

NYRR 2016 Scotland Run 10K

Distance: 6.2 miles, 10 kilometers
Date/Time: April 2, 2016, 8:00 AM
Location: Central Park, NYC
Weather: 54degrees, 69% humidity, wind 6 mph
Sponsor: Scotland Week

LYScotland10K2016 (11)

Looking back on my life 365 days ago, I never would have thought I would call myself a runner. I couldn’t grasp why people would voluntarily wake up at the crack of dawn for early morning races on the weekends.

However, one day my personal trainer convinced me that running a couple times a week would improve my health tremendously. I begrudgingly agreed. I hated running almost as much as I hated waking up early, but I soon discovered that my hatred for running eventually turned into love, a desire; something I longed to do everyday.

When I finally worked up the nerve to make it to one of NBR’s runs, I was astonished at the amount of support I received. I mean, c’mon, y’all are fast. What was I thinking hanging out with a bunch of seasoned marathoners?

I ran my first 5k in June 2015, my first 10k in October 2015, and my first 15k in December 2015. In January of this year, training for a marathon and completing NYRR’s 9+1 program became my top resolution.

I trained hard all winter. I started running 5 days a week. I signed up for a bunch of races. However, I was stuck in a pace rut. I was PRing less and less and starting to feel frustrated.

Yesterday I ran the Scotland Run. It was my third 10k, and I’m happy to report that I crushed my first 10k time by 3 whole minutes. The weather was crappy; rainy and humid, and there are so many reasons to be unhappy during a race like that. But I didn’t give up, I kept on trucking because no matter the outcome, I knew I was eventually going to cross the finish line and meet up with so many sweaty, smiling faces of NBR.

Yes, some of my personal successes have been because of my training, but I credit the majority of it to NBR. You, teammates, inspire me every single day, and I am so happy to be a part of this huge, crazy, awesome, talented group of runners. Such camaraderie between new runners and lightning fast veterans isn’t something you see everyday. Waking up early for runs, races, and cheering squads has become my favorite way to spend a weekend.

I’m still not a fast runner, and I might never make it to NYRR’s “A” corral, but I am definitely getting stronger. I’m seeing a difference in my form, stamina, and speed. With each race I run with NBR, my confidence to achieve great things increases.

There’s no feeling like being exhausted, cranky, and ready for a race to be over until you pass by your team’s cheerleaders and hear the “woohoos” from your fellow teammates. I am so happy to be a part of this team. Congrats to all our Scotland runners and serious hugs to our cheer squad! You rock.

-Caitlin Shu

Team Results:

 5th Men                         02:50:57
     Tim Jeffreys                   33:04
     Ben Leese                      33:28
     Bill Walkowicz                 34:24
     Ciaran O'Donovan               35:00
     Alexander Walsh                35:01
 5th Women                       03:17:25
     Lauren Perkins                 37:52
     Angela Ortiz                   38:34
     Nicolette St Lawrence          39:53
     Samantha John                  40:32
     Lillian Wolfson                40:34
 4th 40+ Men                     01:50:24
     Alexander Walsh                35:01
     Drew Reynolds                  37:34
     Joe Chan                       37:49
11th 40+ Women                   02:25:16
     Jessica Boucher                45:36
     Elise Shin                     49:03
     Polly Jones                    50:37
 5th 50+ Men                     02:02:45
     Quinn Batson                   40:05
     Alun Williams                  40:41
     Wataru Iwata                   41:59
11th 60+ Men                     03:22:34
     Peter Menderson                53:17
     donald williams              1:03:04
     James Lu                     1:26:13

Age Group Awards:

  Men 25-29   8th  Tim Jeffreys           33:04
  Men 35-39   2nd  Ben Leese              33:28
  Men 35-39   8th  Stephen Tranter        35:24
  Men 40-44   6th  Alexander Walsh        35:01
  Men 55-59   5th  Quinn Batson           40:05
  Men 75-79  10th  James Lu             1:26:13
Women 20-24   4th  Nicolette St Lawrence  39:53
Women 30-34   5th  Lauren Perkins         37:52
Women 30-34  10th  Lillian Wolfson        40:34
Women 35-39   4th  Angela Ortiz           38:34
Women 40-44   7th  Jessica Boucher        45:36

Cheer Squad Logan’s Gallery: (click any image to launch full screen slideshow)

Full Individual Results:

Last Name First Name Bib Overall
Place
Gender
Place
Age
Place
Net
Time
Pace
per
Mile
AG
Time
AG
Gender
Place
AG %
Jeffreys Tim 4452 24 24 7 0:33:04 05:20 0:33:04 41 80.82 %
Leese Ben 3465 28 28 2 0:33:28 05:24 0:33:10 42 80.59 %
Walkowicz Bill 8979 39 39 16 0:34:24 05:33 0:34:17 72 77.95 %
O’Donovan Ciaran 1420 51 50 18 0:35:00 05:38 0:35:00 98 76.37 %
Walsh Alexander 5035 52 51 6 0:35:01 05:39 0:33:30 50 79.78 %
Tranter Stephen 5978 64 62 8 0:35:24 05:42 0:34:56 95 76.49 %
Parker Justin 5356 76 74 11 0:35:55 05:47 0:35:16 112 75.76 %
Laude Sean 9886 105 100 28 0:36:29 05:53 0:36:29 188 73.25 %
Cooper Evan 4987 114 108 33 0:36:35 05:54 0:36:35 198 73.06 %
Reynolds Drew 9854 165 154 18 0:37:34 06:03 0:35:23 117 75.54 %
Harrison Jordan 7781 169 157 40 0:37:41 06:04 0:37:28 252 71.33 %
Chan Joe 953 177 163 20 0:37:49 06:06 0:35:19 114 75.65 %
Frumes Max 5080 182 167 45 0:37:52 06:06 0:37:38 260 70.99 %
Perkins Lauren 3599 183 16 7 0:37:52 06:06 0:37:46 26 80.32 %
Ortiz Angela 3811 226 21 4 0:38:34 06:13 0:38:18 33 79.22 %
Bonica Stephen 5313 228 207 32 0:38:36 06:13 0:37:43 268 70.86 %
Eberhart Matthew 7780 274 246 66 0:39:21 06:20 0:39:13 406 68.13 %
Kvalheim Steven 1640 276 248 38 0:39:23 06:21 0:39:01 378 68.49 %
St Lawrence Nicolette 5504 338 37 4 0:39:53 06:26 0:39:53 61 76.06 %
Batson Quinn 9130 365 323 5 0:40:05 06:28 0:34:09 69 78.25 %
John Samantha 9885 394 46 20 0:40:32 06:32 0:40:32 74 74.85 %
Wolfson Lillian 1586 396 47 12 0:40:34 06:32 0:40:33 76 74.81 %
mandel joel 9882 400 353 98 0:40:38 06:33 0:40:23 546 66.16 %
Morgan Brian 7286 404 357 100 0:40:39 06:33 0:40:31 563 65.95 %
Williams Alun 9857 407 360 12 0:40:41 06:33 0:34:58 97 76.42 %
McNamee Jennifer 9842 438 52 24 0:41:00 06:36 0:41:00 87 73.99 %
Hill Michael 9856 508 450 33 0:41:40 06:43 0:37:41 264 70.92 %
Ades Rebecca 9881 509 59 15 0:41:40 06:43 0:41:38 102 72.88 %
Helen Lloyd 1105 511 452 91 0:41:43 06:43 0:41:43 715 64.07 %
Daniels Linda 7774 512 60 16 0:41:43 06:43 0:41:40 103 72.82 %
Wight Russell 9853 515 455 120 0:41:45 06:43 0:41:45 721 64.02 %
Iwata Wataru 3441 537 472 16 0:41:59 06:46 0:37:20 244 71.58 %
Salazar Rivera Carlos 9118 549 482 96 0:42:07 06:47 0:42:07 779 63.46 %
Buzzetti Bruno 9852 553 486 73 0:42:07 06:47 0:39:59 498 66.84 %
Dopp Kevin 5610 565 496 131 0:42:14 06:48 0:41:59 759 63.64 %
Feo Melody 1589 604 77 34 0:42:28 06:51 0:42:28 134 71.43 %
Luebe Ross 3621 625 546 141 0:42:36 06:52 0:42:21 812 63.10 %
Flood Elizabeth 6763 755 94 40 0:43:32 07:01 0:43:32 159 69.68 %
McGovern John 7554 777 679 169 0:43:40 07:02 0:43:25 1006 61.56 %
Baldinger Gregg 6013 792 693 25 0:43:45 07:03 0:38:35 347 69.26 %
Raub Emma 3877 810 101 15 0:43:49 07:03 0:43:22 153 69.96 %
Duffy Meghan 84 855 107 23 0:44:03 07:06 0:44:03 176 68.88 %
grevemberg kevin 1578 888 776 115 0:44:14 07:08 0:42:39 858 62.66 %
Tholstrup Sophie 9845 891 113 26 0:44:15 07:08 0:44:15 184 68.57 %
Moderbacher Dimitri 5015 912 798 123 0:44:20 07:08 0:41:45 722 64.01 %
Ceresa Aldo 7779 939 821 72 0:44:30 07:10 0:41:14 648 64.80 %
Christiansen Karina 9884 960 119 29 0:44:36 07:11 0:44:36 196 68.02 %
Gerstin Jesse 9500 1017 881 221 0:44:56 07:14 0:44:56 1317 59.46 %
Kenneally Olan 4046 1023 887 157 0:45:00 07:15 0:45:00 1327 59.39 %
Halloran David 7575 1120 970 148 0:45:25 07:19 0:42:26 826 62.98 %
Boucher Jessica 9887 1155 156 7 0:45:36 07:21 0:43:42 163 69.42 %
Axelrod Brett 7176 1170 1011 177 0:45:42 07:22 0:45:42 1477 58.47 %
Keane Bryan 9694 1172 1013 198 0:45:43 07:22 0:45:07 1346 59.22 %
Thomas Anthony 7523 1191 1029 46 0:45:49 07:23 0:40:24 549 66.14 %
Burke Laurie 1663 1246 171 21 0:46:03 07:25 0:45:43 254 66.35 %
Slaughter Anna 4112 1307 183 43 0:46:25 07:29 0:46:18 286 65.53 %
Hafner Emily 7778 1363 197 47 0:46:40 07:31 0:46:40 314 65.01 %
Guiloff Angel 9880 1602 1351 220 0:47:41 07:41 0:44:32 1236 60.00 %
Maczak Attila 1294 1609 1355 332 0:47:41 07:41 0:47:41 1870 56.03 %
Polak Marcin 2985 1697 1413 341 0:47:58 07:44 0:47:49 1896 55.89 %
Bullard David 2701 1794 1481 288 0:48:21 07:47 0:46:56 1715 56.93 %
Burke Megan 9888 1923 353 130 0:48:51 07:52 0:48:51 541 62.11 %
Rettig Lane 2822 1925 1572 373 0:48:51 07:52 0:48:46 2069 54.79 %
Neale Andrew 4332 1945 1586 303 0:48:56 07:53 0:47:48 1892 55.91 %
Shin Elise 9855 1980 369 30 0:49:03 07:54 0:47:38 396 63.69 %
Stevens Matthew 2876 2152 1732 404 0:49:41 08:00 0:49:23 2185 54.10 %
Flora Lindsay 5123 2231 442 103 0:49:57 08:03 0:49:53 645 60.81 %
Doyle Brent 5122 2233 1791 287 0:49:57 08:03 0:47:47 1888 55.92 %
Ramirez Brian 9846 2338 1853 295 0:50:19 08:06 0:50:19 2378 53.10 %
Walley Beverly 397 2350 491 65 0:50:21 08:07 0:49:39 621 61.10 %
Jones Polly 9883 2413 520 52 0:50:37 08:09 0:49:10 569 61.70 %
Figueredo Marie 9879 2542 560 72 0:51:02 08:13 0:50:31 728 60.06 %
Nondorf Phillip 3419 2587 2008 465 0:51:13 08:15 0:50:55 2478 52.49 %
Herr Jennifer 9891 2677 614 83 0:51:29 08:18 0:50:57 799 59.54 %
Hirschklau Rebecca 9890 2686 619 63 0:51:31 08:18 0:50:02 663 60.64 %
Mackie Lynn 7862 2690 621 143 0:51:32 08:18 0:51:24 855 59.02 %
Amin Rakesh 3420 2707 2080 475 0:51:34 08:18 0:51:34 2580 51.82 %
Lee Stanley 9123 2752 2110 480 0:51:44 08:20 0:51:39 2592 51.73 %
Berndt Christopher 1514 3184 2364 383 0:53:10 08:34 0:49:40 2237 53.80 %
Menderson Peter 6589 3213 2381 38 0:53:17 08:35 0:41:48 737 63.92 %
Pennito Tracey 4674 3265 854 65 0:53:28 08:37 0:53:28 1148 56.74 %
Buszwatiuk Sophie 7457 3367 906 274 0:53:44 08:39 0:53:44 1199 56.46 %
Ferraro Dominique 3190 3371 909 275 0:53:45 08:39 0:53:45 1203 56.45 %
Castano Gabriel 4873 3612 2598 489 0:54:31 08:47 0:54:01 2991 49.47 %
Stevens Lilly 9850 3667 1044 249 0:54:40 08:48 0:54:32 1321 55.63 %
Spinner Anna 4830 3668 1045 149 0:54:40 08:48 0:53:55 1226 56.28 %
Petrillo Anthony 4184 3681 2629 601 0:54:42 08:49 0:54:42 3099 48.84 %
Staco Reginald 6482 3819 2694 507 0:55:04 08:52 0:54:05 3002 49.40 %
Kalb Kevin 1658 3869 2721 432 0:55:15 08:54 0:52:01 2651 51.36 %
Slaski John 9848 3910 2743 288 0:55:24 08:55 0:51:21 2544 52.04 %
Feng Sylvia 6224 4396 1418 336 0:56:55 09:10 0:56:51 1723 53.36 %
Giermek Jen 1944 4489 1470 351 0:57:13 09:13 0:56:58 1747 53.26 %
Lu Grace 6366 4521 1482 174 0:57:19 09:14 0:54:31 1318 55.65 %
Kratville Elisha 9858 4643 1563 373 0:57:45 09:18 0:57:45 1889 52.53 %
Brown Serene 7552 4710 1598 235 0:58:02 09:21 0:57:38 1868 52.64 %
Shu Caitlin 9851 5264 1934 140 0:59:56 09:39 0:59:56 2276 50.62 %
Masella Elizabeth 266 5466 2058 478 1:00:40 09:46 1:00:39 2375 50.02 %
Simionato Lorenzo 3891 5532 3433 482 1:00:56 09:49 1:00:56 3741 43.85 %
Berkowitz Alison 6535 5922 2342 361 1:02:34 10:05 1:01:55 2576 48.99 %
williams donald 1798 6024 3619 83 1:03:04 10:09 0:49:29 2206 54.00 %
Kroth Mathew 7742 6099 3652 783 1:03:28 10:13 1:03:05 3883 42.35 %
Yu Bomina 9847 6251 2544 314 1:04:10 10:20 1:01:56 2577 48.98 %
Sowinski Marta 7458 6556 2749 190 1:05:50 10:36 1:05:50 3023 46.08 %
Colon Jennifer 7775 6619 2786 739 1:06:06 10:39 1:06:06 3049 45.89 %
Kierzkowska Agnieszka 1154 6624 2788 423 1:06:08 10:39 1:05:12 2946 46.53 %
Watermann Antje Kristin 6385 6790 2898 666 1:07:06 10:48 1:06:56 3109 45.32 %
Walsh Charles 4087 6948 3943 837 1:08:20 11:00 1:08:18 4100 39.12 %
Urban Elizabeth 203 6950 3007 768 1:08:21 11:00 1:08:21 3215 44.39 %
March Anika 9509 7265 3222 740 1:11:16 11:29 1:11:05 3398 42.67 %
Yuen Arlena 7776 7896 3652 874 1:21:40 13:09 1:21:40 3726 37.15 %
Lu James 6367 8012 4277 10 1:26:13 13:53 0:57:18 3412 46.63 %
Mackey Justin 2860 8132 4313 900 1:40:21 16:09 1:39:46 4320 26.78 %
Herrera Carolina 2861 8133 3820 847 1:40:21 16:09 1:40:15 3827 30.26 %

113 Total.



West Point Half Marathon Race Report Saturday, March 26th, 2016 by nbrwebjohn
March 31, 2016, 9:19 am
Filed under: Inspiration, Race Report, Races

NBR Stats:

Jen McNamee 1:36:32 2nd in 2529 Age Group!
Philip Chiu 1:37:34 14th in 3034 Age Group!
Jennifer Herr 2:05:26 Hey, I finished!

Today, I ran the most beautiful and challenging half marathon course in my racing career, and strongly believe NBR needs to hear about it. The West Point Half Marathon was opened up to noncadet/civilian participation for the first time this year, and three of us jumped at the opportunity to run it. I enjoyed the chilly morning trek to Upstate New York with my fellow NBRs Philip Chiu and Jen McNamee.

westpoint1

This race paid homage to the United States military, as only an elite Army University could do.Phil and I warmed up on the Mieche Stadium field as military trained parachuters dove down to welcome the runners (and then helicoptered away.) There were great crowds of runners from the Navy, Team RWB (military veterans,) the NYPD and of course the West Point Army Cadets. Each mile marker on the course identified a “fallen cadet” of West Point, who had lost their life fighting for our country. I witnessed army recruits dropping and doing pushups at each of these markers along the course as a way of honoring these men.

My ultimate reason for feeling compelled to write this race report, however, is THE COURSE. While the route was beautiful and historic, with mountain and river views at a famed elite military school campus… the term “Hilly” does not do it justice. West Point provided a course map on their website which identified 4 areas in red that represented large inclines. (Up to 8 flights of stairs in elevation change, they said.) A few highlights on a map did not in any way describe the realities of the run. The entire course was rolling hills with several steep, mountainous climbs and descents in between.

Runners pass Trophy Point during the West Point Half-Marathon Fallen Comrades Run at the United States Military Academy in West Point, New York. The Hudson River is visible in the background at left.

Runners pass Trophy Point during the West Point Half-Marathon Fallen Comrades Run at the United States Military Academy in West Point, New York. The Hudson River is visible in the background at left.

At the start of the race, miles 1 to 2, the decline from the stadium to the austere riverside felt TOO steep to me and a bit uncontrollable. I was mindful of not pounding out too hard on my knees, but by the time I reached the bottom, felt like the cartoon Road Runner with my legs spinning uncontrollably and no ability to stop. The course then flattened out a bit for a pleasant out and back along the river front with mountain views. At mile 4.5, I realized the red marks on the course map indicated stretches which were so freakishly steep and long, they had no business being included in a half marathon course. A half mile winding strip of what seemed to be a 45 degree incline up into the campus may have been the most difficult portion of running I’ve ever done. Only slightly less difficult uphill battles were fought between miles 6 & 7, 8 & 9 and 12 & 13. With three quarters of a mile left to the race, the last hill felt almost insurmountable even as bagpipers and cheering children beckoned us up. About half of the racers around me had nothing left to give and could only walk up. I did my best to trudge to the top and eek out a finishing kick the last flat 200 meters back into Mieche Stadium.

westpoint3
My mile splits were all over the place. At the “too steep” mile 1 downhill, I managed a best pace of 7:45. My slowest pace of 12:57 came at the final mile 12 hill. Everything in between was a scattered range of low 8:00s to low 11:00s. This lead me to a 2:05:26 finish time, about 9 minutes slower than my personal best half marathon.

The West Point Half Marathon redefines the term “hill training.” I can now look at the Williamsburg Bridge and Cat Hill and laugh. This race was a mountain climb that tested your fitness and determination to the fullest. I chose to zone out and cope with it as best I could.

westpoint4

At the finish line, I discovered that my warrior teammates, Jen & Philip both hit HUGE personal records on the course, which I didn’t imagine possible. (Jen even finished 2nd in her age group!) They both agreed that the difficulty of the course was like nothing they’d ever experienced, yet they were clearly physically and mentally equipped to tackle the task at hand in a much better way than I was. I am in awe of them and challenge any other strong, willful NBR runner to sign up for this race next year. I don’t know that I’ll ever run the West Point Half Marathon again but as a singular experience, I highly recommend the military strength course to any runner looking for a true test of physical strength and personal will.

-Jennifer Herr

——————————————–

westpoint6So, HILLS. I signed up for this race without looking at the elevation profile. I looked at the profile a week or two before the race when someone mentioned how hilly it was and when I saw it, I thought “Oh no, Ive done no hills this year.” HILLS! I had no idea what an understatement it was.

Based on the elevation profile and where I am physically, I was not expecting much. The first mile was downhill and a bit crowded: 7:29, “ops, going a bit fast.” Mile 2: 7:20, Mile 3: 7:03, Mile 4: 7:16, Mile 5: 7:20, Mile 6: 7:18, Mile 7: 7:34. As the miles went by, I was clicking off splits below my PR pace and I was feeling in control. I was powering through those monster HILLS early on and passing people easily. By mile 7, I was worried a blow up was imminent because I was going way too fast for what I thought my fitness was but I felt in control still. In my head, I was repeating an old favorite, “God this hurts so good” at every HILL and it was working.

Mile 8: 7:03, Mile 9: 7:32, Mile 10: 7:04. The miles continued to click off at paces I thought were unbelievable. I was flying up the HILLS and was still feeling in control. Suddenly, around mile 10.5, the wall hit me like Semi Truck. My legs got heavy and refused to turn over. Mile 11: 7:48, Mile 12: 8:15, Mile 13: 9:33, I was in a world of hurt and those HILLS I was not afraid of earlier in the race became cruel and unusual punishment. HILLS, HILLS, HILLS, they were steep beyond belief and seemed to go on forever in those last few mile. After correcting a wrong turn I made, I was able to have a little left to kick to the finish. 1:37:34, a 27 second PR.

westpoint5

I was an Army Infantryman years ago. When we learned an officer graduated from West Point, we looked at him with a higher expectation. As a soldier, West Point is this holy place Ive always wanted to visit and so when I saw this race pop up, I knew I had to do it. West Point lived up to the hype. The buildings at West Point were truly a sight to see and the mountain range along the Hudson was stunning. On one hand, I want to do this race again but on the other hand, HILLS!

-Philip Chiu



WOOO! by nbrwebjohn
March 22, 2016, 11:32 pm
Filed under: Inspiration, NBR Goings On, Races, Volunteering

A loud and enthusiastic “GO NBR!” combined with an equally loud and enthusiastic “WOOO!” is the perfect blend in a continuous wall of sound that brings chills down my spine.

PhilipPatchogueI joined NBR in 2013 with the Scotland Run being my first race under the NBR banner. I had no idea what I was in for when I ran by the cheer squad. The “GO NBR” and other chants that blended into a wall of sounds were overwhelming, I felt the chills go down my spine and it actually made my limbs feel cold. The shot of adrenaline carried me to the finish in a closing pace that I did not think was possible for me at that point in my running “career.” Don’t even get me started on my pace going through the mile 12 NYC Marathon water station. After three years, I still look forward to the club points races and the cheer squad still gives me that much needed boost.

Since joining NBR, Ive made my best effort to volunteer at every NBR water station that I am available for and join every cheer squad I can logistically get to. As runners, we know having that team support on the course can sometimes make a difference on the outcome. I don’t need to hope that new members continue this tradition of showing up because NBR has always had such capable leaders and attracted such wonderful and active members.

While my vocal range prevents me from employing the effective “WOOO!” (my ooo’s don’t get higher and sounds more sarcastic than heartfelt) and my cheering tools are limited to “go NBR,” clapping, cowbell, and other generic cheers, I am still happy to be out there cheering on the team.

-Philip Chiu



2016 NYRR NYC Half Race Report by nbrwebjohn
March 21, 2016, 11:27 pm
Filed under: Races

United Airlines NYC Half 2016

Distance:  13.1 miles, 21.1 kilometers
Date/Time:  March 20, 2016, 7:30 AM
Location:  Central Park to Downtown, NYC
Weather:  34 degrees, 35% humidity, wind 14 mph

Maybe you saw the Instagram post during the NYC Half on Sunday: a sign held by a spectator in Times Square that read “Run as if there are Hamilton tickets at the finish line.” I didn’t see the sign in person – when I was running through Times Square, trying to have confidence that the brisk pace I’d set for myself was something I could sustain, I didn’t see much of anything other than the shorts of the guy in front of me. But one favorite line from that famous show was nonetheless with me, having lodged itself firmly in my psyche somewhere around Harlem Hill.

nycH16b

In Hamilton, Alexander Hamilton – an immigrant orphan with no money – falls in love with Elizabeth Schuyler, the beautiful daughter of a powerful, wealthy senator. What does Alexander have to offer someone so far above his station? “Eliza, I don’t have a dollar to my name,” Lin-Manuel Miranda sings as Hamilton, “an acre of land, a troop to command, a dollop of fame. All I have’s my honor, my tolerance for pain, a couple of college credits and my top-notch brain.”

When I train, and when I race, I often ask myself some version of the question: do I have the right to be here? It was humbling, for instance, to toe the line at my first full marathon in November never having run more than 22 miles before in my life. I think I can do this, I remember thinking at the time, but even after fifteen years of running, in reality I had no idea.

nycH16aI went into NYC Half this past weekend thinking I could run faster than I’d ever run before at that distance, but that didn’t stop me from asking myself, when I saw an accidental 5:32 split in an early mile – just how far in over my head I really was. I’d never run anything farther than an 8K this fast! I knew I was fit, but we all know that physical resources are only one element of racing. It is your mental resources – especially at longer distances – that can make all the difference. What mental resources could I bring to bear on my fear that I might be going too fast on this chilly Sunday in March?

At the top of Harlem Hill, the answer came to me via Lin-Manuel Miranda’s Alexander Hamilton: “All I have’s my honor; my tolerance for pain.” Hamilton had no reason to expect that he wasn’t in way over his head with Elizabeth Schuyler except for the evidence he observed inside himself – that contrary to all external indications, he had every right to be there.

It’s the same with us as runners. Each time we’re confronted with something we’ve never done before – as we all are, every time we lace up our running shoes, leave the house, and take that little extra risk, whether it’s a mile farther than we’ve ever gone before, or showing up to our first track workout – we have nothing but a belief in our own inner resources to fall back on.

Next time you’re standing at the start of a race or training session you think might be a breakthrough for you – whether it’s running your first marathon, running your first 5K, running faster than you’ve run before, or even just showing up to your first ever run with NBR – remember that you’re facing a choice. Do you listen to the preponderance of evidence that suggests you’re in over your head? Or do you take stock of the inner resources that got you to the starting line in the first place?

When you’re at the top of Harlem Hill, a few too-fast miles behind you and nearly ten more to come, it’s easy to feel at a loss. It’s true, you’re probably alone (or nearly so), you’re wearing goofy shorts, you’re freezing cold and you know that rest and warmth is nearly an hour of hard, lonely work away. What do we have to call on in a moment like that? Not a lot; like poor immigrant Alexander Hamilton, we don’t have a lot to fall back on. But what little we do have is exactly what makes us strong as runners, and why I’m so proud to run with so many of you: we have our honor, and our tolerance for pain. Good race to everyone on Sunday.

-Andy Kifer

Age Group Awards:

Women 25 - 29   10th   Laura Coogan     1:22:09
  Men 75 - 79    7th   James Lu         3:13:41

Christina Velez’s Gallery:

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Full Individual Results:

Last Name First Name Bib Overall
Place
Gender
Place
Age
Place
Net
Time
5K
Split
10K
Split
15K
Split
20K
Split
Pace
per
Mile
AG
Time
AG
Gender
Place
AG %
Kifer Andy 296 93 81 35 1:15:09 0:17:47 0:36:00 0:53:32 1:11:10 05:44 1:15:09 126 77.70 %
Tranter Stephen 259 174 156 23 1:18:40 0:18:16 0:37:00 0:55:31 1:14:15 06:00 1:18:02 246 74.83 %
Hatcher Joshua 514 203 183 50 1:19:28 0:18:57 0:37:54 0:56:28 1:15:11 06:04 1:19:28 322 73.48 %
Kean Seth 500 260 234 18 1:20:44 0:19:14 0:38:26 0:57:28 1:16:34 06:10 1:17:59 241 74.88 %
Harrison Jordan 773 294 265 75 1:21:30 0:19:07 0:38:24 0:57:44 1:16:59 06:13 1:21:17 430 71.84 %
Chan Joe 623 295 266 26 1:21:31 0:19:20 0:38:51 0:58:03 1:17:17 06:14 1:16:52 186 75.97 %
Bonica Stephen 451 315 279 51 1:22:02 0:19:37 0:39:06 0:58:07 1:17:32 06:16 1:20:42 385 72.36 %
Coogan Laura 1819 321 37 16 1:22:09 0:19:45 0:39:29 0:58:42 1:17:48 06:16 1:22:09 70 79.37 %
Gatrall Jefferson 696 335 294 31 1:22:31 0:19:49 0:39:36 0:58:59 1:18:03 06:18 1:19:05 298 73.84 %
Poole Harold 1060 406 357 76 1:23:45 0:19:55 0:39:46 0:59:28 1:19:16 06:24 1:23:45 590 69.71 %
Daniels Jennifer 1025 448 61 18 1:24:15 0:19:52 0:39:58 0:59:36 1:19:43 06:26 1:24:02 111 77.59 %
Harkema Lindsay 1117 467 64 21 1:24:30 0:19:56 0:39:58 0:59:46 1:19:52 06:27 1:24:28 124 77.19 %
Norlander Crow 1202 488 420 89 1:24:51 0:19:54 0:40:04 1:00:13 1:20:24 06:29 1:24:51 697 68.82 %
Arthur Andrew 1356 558 475 91 1:26:04 0:20:19 0:40:52 1:01:00 1:21:18 06:34 1:25:03 716 68.66 %
Ades Rebecca 2154 689 111 34 1:27:54 0:21:00 0:41:57 1:02:15 1:23:01 06:43 1:27:41 202 74.36 %
Turnbull Rebecca 3717 743 125 40 1:28:30 0:21:23 0:42:31 1:03:05 1:23:51 06:46 1:28:24 228 73.76 %
Van Heerden Lanie 1227 757 626 152 1:28:38 0:21:29 0:42:23 1:02:45 1:23:41 06:46 1:28:37 1020 65.89 %
Schenker Matthew 2090 782 646 156 1:28:49 0:21:14 0:42:37 1:03:18 1:24:10 06:47 1:28:48 1037 65.75 %
Daniels Linda 1538 805 139 43 1:29:00 0:21:26 0:42:34 1:03:10 1:24:08 06:48 1:28:47 251 73.45 %
Wheeler Christopher 1503 861 716 171 1:29:26 0:21:17 0:42:31 1:03:25 1:24:33 06:50 1:29:12 1095 65.46 %
davis derrie 628 920 761 77 1:29:51 0:20:12 0:41:37 1:02:33 1:24:40 06:52 1:22:37 512 70.68 %
Stevens Matthew 2194 1021 837 202 1:30:58 0:21:36 0:43:36 1:04:49 1:26:10 06:57 1:30:43 1278 64.36 %
goss david 1424 1047 858 207 1:31:17 0:21:38 0:43:17 1:04:41 1:26:21 06:58 1:31:16 1337 63.97 %
McDonald Hugh 4552 1123 918 173 1:32:04 0:21:37 0:44:05 1:05:42 1:27:34 07:02 1:32:04 1433 63.42 %
Fried Connie 3573 1177 220 69 1:32:32 0:22:48 0:45:01 1:06:17 1:27:45 07:04 1:32:32 422 70.47 %
Luebe Ross 2027 1335 1084 249 1:33:48 0:22:53 0:45:13 1:06:47 1:28:40 07:10 1:33:32 1636 62.42 %
Ton Quang 5033 1382 1117 259 1:34:11 0:22:37 0:45:13 1:07:04 1:29:04 07:12 1:34:05 1709 62.06 %
Patel Devang 854 1451 1172 215 1:34:36 0:22:46 0:45:10 1:07:28 1:29:42 07:13 1:34:36 1795 61.73 %
Flood Elizabeth 2586 1475 284 80 1:34:45 0:22:10 0:44:44 1:07:05 1:29:41 07:14 1:34:45 524 68.82 %
Boyd Stephen 2184 1537 1246 283 1:35:07 0:23:20 0:45:38 1:07:33 1:29:58 07:16 1:34:52 1845 61.55 %
Boucher Jessica 3252 1919 386 42 1:37:33 0:22:53 0:46:14 1:09:12 1:32:19 07:27 1:33:00 444 70.11 %
Baldinger Gregg 4795 1969 1567 93 1:37:52 0:23:02 0:46:49 1:09:57 1:33:00 07:28 1:26:57 864 67.15 %
Fischer Christian 3610 1987 1580 232 1:37:57 0:23:02 0:46:49 1:09:59 1:33:06 07:29 1:35:16 1901 61.29 %
Lakatos Nicoletta 4109 2095 435 127 1:38:30 0:22:50 0:47:30 1:10:20 1:33:17 07:31 1:38:30 765 66.20 %
Burke Laurie 5438 2149 449 70 1:38:45 0:22:52 0:46:18 1:09:30 1:33:25 07:32 1:37:46 709 66.69 %
Martins Kunle 6932 2220 1756 387 1:39:05 0:23:12 0:47:06 1:09:51 1:33:35 07:34 1:38:59 2519 58.99 %
Sobol Gene 5041 2234 1768 311 1:39:09 0:23:49 0:47:44 1:10:47 1:33:57 07:34 1:39:09 2554 58.89 %
Greenfield Matthew 719 2287 1808 318 1:39:24 0:23:54 0:47:26 1:10:44 1:34:08 07:35 1:39:24 2607 58.74 %
Throwell Zeffrey 3240 2411 1898 290 1:39:59 0:23:46 0:47:43 1:11:23 1:34:47 07:38 1:37:14 2208 60.05 %
Brennan Ger 6068 2526 1979 346 1:40:28 0:24:03 0:47:48 1:11:05 1:34:56 07:40 1:40:28 2803 58.12 %
Knight Thomas 1098 2552 1997 440 1:40:34 0:22:54 0:46:38 1:10:29 1:35:12 07:41 1:40:34 2821 58.06 %
wild chelsea 11210 2614 575 164 1:40:48 0:24:10 0:47:59 1:11:53 1:35:34 07:42 1:40:48 969 64.69 %
McGovern John 4664 2719 2114 474 1:41:18 0:23:02 0:46:50 1:10:20 1:35:31 07:44 1:41:01 2926 57.80 %
Hanley Madeline 10262 2727 607 62 1:41:21 0:23:40 0:48:08 1:12:13 1:35:57 07:44 1:41:21 1018 64.34 %
Guiloff Angel 5106 2872 2218 342 1:42:03 0:23:29 0:47:37 1:11:44 1:36:20 07:47 1:36:12 2058 60.69 %
Hinton Bradley 3148 2881 2226 505 1:42:05 0:24:10 0:48:08 1:11:51 1:36:24 07:48 1:41:49 3074 57.35 %
COBO ISAIAS 9628 2988 2305 522 1:42:34 0:24:38 0:48:34 1:12:16 1:36:55 07:50 1:42:34 3216 56.93 %
Savage Kristie 5692 3374 806 207 1:44:04 0:24:46 0:49:33 1:13:26 1:38:20 07:57 1:44:04 1314 62.66 %
Pegg Nick 8280 3707 2782 614 1:45:15 0:25:04 0:50:08 1:14:53 1:39:48 08:02 1:45:15 3784 55.48 %
Gleed Natalie 5521 3870 968 160 1:45:48 0:25:24 0:50:37 1:15:32 1:40:12 08:05 1:43:56 1296 62.74 %
Berman Bretton 5579 3877 2905 638 1:45:50 0:24:14 0:49:54 1:14:31 1:40:12 08:05 1:45:49 3900 55.18 %
Baxter Casey 7648 3949 997 236 1:46:05 0:25:35 0:51:00 1:15:50 1:40:31 08:06 1:45:49 1521 61.62 %
Kokosinski Gregory 5474 4033 3006 656 1:46:23 0:25:54 1:16:13 1:40:54 08:07 1:46:23 4012 54.89 %
Maczak Attila 5750 4269 3159 683 1:47:13 0:26:08 0:52:13 1:17:26 1:41:37 08:11 1:47:13 4167 54.46 %
Tehranian Kayvon 4095 4291 3171 684 1:47:18 0:25:30 0:51:39 1:16:51 1:42:03 08:12 1:47:18 4187 54.41 %
Neale Andrew 3448 4750 3442 648 1:48:48 0:24:51 0:50:45 1:16:30 1:43:03 08:18 1:47:01 4132 54.56 %
Rose Eric 5312 4815 3478 750 1:49:01 0:25:47 0:51:41 1:17:10 1:43:15 08:19 1:49:00 4560 53.57 %
Meehan Jennifer 16709 4921 1383 321 1:49:19 0:26:59 0:52:51 1:18:09 1:43:35 08:21 1:49:17 2046 59.66 %
Goodman Gregory 3601 5167 3691 697 1:50:03 0:24:43 0:51:49 1:17:59 1:44:09 08:24 1:47:40 4261 54.23 %
Axelrod Brett 2205 5219 3724 605 1:50:12 0:26:23 0:52:56 1:18:18 1:44:19 08:25 1:50:12 4806 52.99 %
Lai Carolyn 7653 5220 1496 346 1:50:12 0:26:06 0:51:57 1:18:16 1:44:42 08:25 1:49:26 2069 59.58 %
Ostler Laura 10650 5315 1534 350 1:50:28 0:26:18 0:52:29 1:18:37 1:44:48 08:26 1:50:20 2219 59.10 %
Midvidy Adam 8069 5475 3858 186 1:50:57 0:26:44 0:53:17 1:18:49 1:44:56 08:28 1:50:57 4948 52.62 %
Johns Carl 9737 5667 3965 623 1:51:32 0:26:25 0:53:20 1:19:41 1:45:48 08:31 1:47:43 4273 54.21 %
Hirschklau Rebecca 12571 5781 1748 193 1:51:50 0:26:56 0:53:50 1:19:49 1:45:58 08:32 1:48:06 1847 60.32 %
Ramokgopa Selaelo 7332 6147 1909 297 1:52:55 0:25:55 0:52:59 1:20:15 1:47:00 08:37 1:51:23 2416 58.54 %
King James 13214 6207 4269 891 1:53:06 0:26:53 0:53:13 1:18:55 1:46:43 08:38 1:52:47 5306 51.77 %
Buszwatiuk Sophie 14011 7646 2602 695 1:56:48 0:28:53 0:57:08 1:24:30 1:51:09 08:55 1:56:48 3563 55.83 %
Kagner Ksenia 28087 8510 3041 670 1:58:55 0:26:55 0:55:04 1:24:28 1:52:52 09:05 1:58:53 4022 54.85 %
Figueroa Lou 7394 8724 5567 887 1:59:25 0:26:45 1:24:40 1:53:24 09:07 1:54:27 5636 51.01 %
Spinner Anna 13118 8773 3183 502 1:59:32 0:29:06 0:58:03 1:26:08 1:53:34 09:08 1:57:25 3705 55.53 %
Palmer Allegra 10805 9106 3351 872 2:00:20 0:29:11 0:58:03 1:26:22 1:53:58 09:11 2:00:20 4334 54.18 %
Lee Stanley 9126 9193 5796 1169 2:00:34 0:27:39 1:22:52 1:54:05 09:12 2:00:33 6689 48.44 %
Saponara John 21489 9647 6002 1092 2:01:48 0:28:06 0:57:12 1:26:51 1:55:26 09:18 1:59:10 6484 48.99 %
Cerf Alexandra 23731 10487 4117 387 2:04:11 0:29:31 0:58:59 1:28:19 1:57:40 09:29 2:04:11 5100 52.51 %
Lu Grace 19124 10543 4154 512 2:04:21 0:31:08 1:00:50 1:30:02 1:58:33 09:30 1:57:36 3746 55.44 %
Sipe Billy 13801 10700 6448 498 2:04:50 0:28:32 0:58:43 1:29:00 1:58:07 09:32 1:49:56 4760 53.12 %
Taillon Jordan 2291 10720 6460 1296 2:04:53 0:31:25 1:01:27 1:29:58 1:58:46 09:32 2:04:45 7269 46.80 %
Friedrichs Martin 14031 10732 6466 1176 2:04:55 0:29:12 0:58:42 1:28:21 1:58:10 09:32 2:02:53 7016 47.51 %
Valderrama Ray 16266 11328 6714 1225 2:06:43 0:30:55 1:01:48 1:30:41 2:00:07 09:40 2:03:59 7163 47.10 %
Guzman Nell 11260 11672 4815 747 2:07:46 0:29:17 0:59:41 1:30:13 2:01:06 09:45 2:04:14 5116 52.48 %
Tenguerian Berj 3042 11675 6859 1003 2:07:47 0:29:16 0:59:41 1:30:13 2:01:03 09:45 2:07:47 7639 45.69 %
Petrillo Anthony 9488 12002 6974 1386 2:08:47 0:30:19 1:02:01 1:32:41 2:02:49 09:50 2:08:47 7733 45.34 %
Valerio Daryl 13823 12244 7073 1027 2:09:37 0:29:49 1:00:13 1:30:44 2:02:25 09:54 2:09:37 7797 45.05 %
LaVallee Andrew 18235 12654 7237 1300 2:10:52 0:30:40 1:04:57 1:34:58 2:04:13 09:59 2:08:03 7667 45.60 %
Betanzos Carlos 1540 12893 7328 1315 2:11:40 0:33:36 1:04:10 1:33:10 2:04:05 10:03 2:11:00 7935 44.57 %
Staco Reginald 5731 12914 7331 1317 2:11:43 0:27:03 0:56:20 1:28:58 2:04:16 10:03 2:10:10 7855 44.86 %
Esquire Noelle 16374 13041 5655 1414 2:12:10 0:29:46 1:00:03 1:31:01 2:04:48 10:05 2:12:10 6572 49.33 %
Shu Caitlin 23299 13089 5689 496 2:12:19 0:31:40 1:03:40 1:34:42 2:05:46 10:06 2:12:19 6604 49.28 %
Gonzalez Steven 16580 13309 7481 886 2:13:02 0:30:16 1:02:12 1:33:37 2:06:13 10:09 2:03:22 7085 47.33 %
Ponsiano Michael 20541 13358 7498 1474 2:13:14 0:28:52 0:59:06 1:30:28 2:05:46 10:10 2:13:14 8113 43.82 %
Paris Carmelo 12187 13728 7632 1494 2:14:40 0:28:19 0:58:37 1:30:18 2:06:43 10:17 2:14:32 8215 43.40 %
bayraktar aylin 25358 14898 6892 894 2:19:13 0:31:06 1:04:31 1:37:28 2:11:36 10:38 2:14:34 6997 48.46 %
Peacock Lauren 25230 14910 6902 1673 2:19:16 0:32:38 1:06:53 1:40:06 2:11:58 10:38 2:19:16 7755 46.82 %
Fitzpatrick Meaghan 8084 15498 7270 1491 2:21:46 0:32:34 1:07:56 1:40:49 2:14:49 10:49 2:21:37 8052 46.04 %
Wells Abbey 24264 16042 7635 1824 2:24:28 0:30:55 2:15:32 11:02 2:24:28 8372 45.13 %
Sowinski Marta 24532 16549 7980 631 2:27:20 0:32:02 1:07:27 1:42:33 2:19:12 11:15 2:27:20 8643 44.26 %
Ithurburn Erika 25550 17300 8494 1976 2:32:05 0:34:03 1:09:12 1:44:54 2:23:31 11:37 2:32:05 9060 42.87 %
Lawson Jennifer 24111 17635 8734 1758 2:34:26 0:33:46 1:08:11 1:44:04 2:25:03 11:47 2:33:45 9205 42.41 %
berardi michele 18564 17656 8909 1444 2:34:36 0:38:00 1:18:37 1:48:16 2:25:28 11:48 2:30:21 9049 38.83 %
DAURIA VANESSA 25564 17734 8799 1396 2:35:12 0:35:40 1:11:27 1:48:24 2:25:57 11:51 2:30:55 8969 43.21 %
Seshan Priya 8131 18057 9031 1224 2:38:02 0:29:17 0:57:48 1:32:53 2:27:11 12:04 2:31:45 9034 42.97 %
Curtin Teresa 21475 18076 9046 233 2:38:09 0:31:04 1:11:45 1:47:30 2:28:31 12:04 2:09:06 6033 50.51 %
McCormick Susan 27760 18628 9440 569 2:44:10 0:36:04 1:14:26 1:53:50 2:34:56 12:32 2:19:11 7743 46.85 %
Ceron Alexandra 29685 19874 10352 1666 3:12:36 0:41:57 1:28:45 2:13:18 3:02:28 14:42 3:08:17 10389 34.63 %
Lu James 27063 19899 9528 7 3:13:41 0:38:02 1:24:32 2:12:54 3:02:28 14:47 2:09:33 7793 45.07 %

106 Total.



NYRR Club Points Race- Washington Heights 5K 2016 Race Report by nbrwebjohn
March 7, 2016, 6:00 pm
Filed under: Club Points Racing, Races

NYRR Washington Heights Salsa, Blues, and Shamrocks 5K

Distance:  3.1 miles, 5 kilometers
Date/Time:  March 6, 2016, 9:00 AM
Location:  Washington Heights, NYC
Weather:  34 Degrees, 38% Humidity, wind 8 mph.

NBRWashHgts2016

10 of our 81 finishers

On Sunday, March 7, North Brooklyn Runners kicked off the 2016 Club Points race schedule with a bang! 81 of our runners participated in the Washington Heights 5k, with several more cheering and volunteering. Our men’s and women’s open teams both placed in the Top 5 of all New York Road Runner squads and our Masters men & women both placed in the top 20! Several runners set all­-time records for the club.

We started our day with early morning meet­ups at the Bedford Ave L and Grand Army Plaza 2 trains and made our way uptown. Some runners kept warm in the armory pre­-race, while others embraced the brisk 30 degree temperatures with some outdoor warm­-ups. Peter Ciaccia confirmed clearance on the roadway and got us off to a prompt start at 9:00.

Earlier in the week, Coach James Chu gave some team­-wide advise (via the NBR newsletter) in how best to approach the hilly Washington Heights 5k course. He suggested not starting out too strong, and taking it easy on the hills ­ that it was best to save our energy for the run back from Fort Tryon. I personally have embraced “starting out too strong” as my life philosophy, therefore took Coach Chu’s advice to heart with my own spin on it. Having run the race last year, I decided to give it my all at every flat and downhill portion of the course, taking it easy on the many hills. I did start strong and then hit my fastest pace as we entered Fort Tryon Park on the longest and steepest downhill of the course. I also did my best to kick hard into the finish as we ran under the Cross Bronx Expressway Bridge. This strategy helped my hit my 5K personal record by a slim 3 seconds on the tough, hilly course. (24:42 finish.)

With so much great NBR energy on race day, we are CONFIDENT the team will continue to be contenders throughout 2016. A good time was had by all, including at post­-race brunch organized by our fabulous social committee, at Croxley’s sports bar in Williamsburg.

Great work team! See you at the Scotland Run!

Team Results:

 5th Men                         01:22:58
     Tim Jeffreys                   16:17
     Christopher Wong               16:31
     Ciaran O'Donovan               16:39
     Alexander Woolverton           16:39
     John Montes                    16:52
 4th Women                       01:36:23
     Becky Schaumberg               18:23
     Angela Ortiz                   18:43
     Taeya Konishi Schogel          19:40
     Samantha John                  19:40
     Rebecca Ades                   19:57
 7th 40+ Men                     00:56:40
     Alexander Walsh                17:03
     Alun Williams                  19:44
     Bruno Buzzetti                 19:53
18th 40+ Women                   01:17:48
     Polly Jones                    23:45
     Rebecca Hirschklau             25:19
     Shawn Young                    28:44
13th 50+ Men                     01:06:49
     Alun Williams                  19:44
     Anthony Thomas                 21:32
     Peter Menderson                25:33

Age Group Awards:

  Men 25-29   8th  Tim Jeffreys           16:17
  Men 40-44   4th  Alexander Walsh        17:03
  Men 75-79   4th  James Lu               36:29
Women 30-34   5th  Becky Schaumberg       18:23
Women 35-39   4th  Angela Ortiz           18:43
Women 35-39   6th  Taeya Konishi Schogel  19:40

Full Individual Results:

Last Name First Name Bib Overall
Place
Gender
Place
Age
Place
Net
Time
Pace
per
Mile
AG
Time
AG
Gender
Place
AG %
Jeffreys Tim 457 28 28 8 0:16:17 05:15 0:16:17 61 79.79 %
Wong Christopher 4915 37 37 19 0:16:31 05:19 0:16:28 70 78.87 %
O’Donovan Ciaran 1609 43 43 21 0:16:39 05:22 0:16:33 74 78.45 %
Woolverton Alexander 667 44 44 11 0:16:39 05:22 0:16:38 81 78.11 %
Montes John 3054 49 49 12 0:16:52 05:26 0:16:51 100 77.07 %
Walsh Alexander 368 56 56 4 0:17:03 05:29 0:16:02 42 81.05 %
Laude Sean 6131 71 71 20 0:17:18 05:35 0:17:17 145 75.16 %
Harrison Jordan 6125 150 140 44 0:18:11 05:51 0:17:53 222 72.61 %
Schaumberg Becky 1814 177 15 5 0:18:23 05:55 0:18:21 27 80.48 %
Ortiz Angela 5039 221 19 4 0:18:43 06:02 0:18:36 34 79.44 %
Stermer Michael 3332 229 209 29 0:18:49 06:04 0:18:04 248 71.87 %
mandel joel 6135 238 217 67 0:18:52 06:05 0:18:34 333 69.97 %
Schenker Matthew 908 296 263 78 0:19:19 06:13 0:19:10 434 67.79 %
Konishi Schogel Taeya 3030 338 42 6 0:19:40 06:20 0:19:32 62 75.64 %
John Samantha 1333 339 43 16 0:19:40 06:20 0:19:40 68 75.09 %
Williams Alun 2216 351 308 12 0:19:44 06:21 0:16:50 99 77.17 %
Buzzetti Bruno 6119 378 328 46 0:19:53 06:24 0:18:34 332 69.98 %
Ades Rebecca 6117 386 51 13 0:19:57 06:26 0:19:57 82 74.04 %
Lamar Annick 681 406 58 16 0:20:04 06:28 0:20:04 91 73.62 %
Hill Michael 6127 478 405 32 0:20:26 06:35 0:18:16 284 71.13 %
Thompson Adam 187 518 438 89 0:20:36 06:38 0:20:36 737 63.05 %
Fox Lou 369 549 463 37 0:20:44 06:41 0:18:57 399 68.55 %
Barry Anne 787 551 87 28 0:20:45 06:41 0:20:45 139 71.20 %
Ko Daeha 6366 578 487 75 0:20:52 06:43 0:20:11 632 64.35 %
Froedtert Sean 5120 600 505 78 0:20:55 06:44 0:20:29 701 63.41 %
Tholstrup Sophie 6138 640 103 31 0:21:07 06:48 0:21:07 162 69.93 %
Portiansky Masha 6136 654 108 19 0:21:11 06:50 0:20:55 148 70.62 %
POMBO REYES LUIS 178 685 570 32 0:21:20 06:52 0:21:20 923 60.89 %
Keane Bryan 6305 697 582 91 0:21:22 06:53 0:20:55 816 62.11 %
Thomas Anthony 3999 742 615 36 0:21:32 06:56 0:18:48 376 69.08 %
Berndt Christopher 2838 755 624 89 0:21:35 06:57 0:19:52 574 65.39 %
McGovern John 6150 756 626 145 0:21:35 06:57 0:21:14 898 61.15 %
Hobelman Nathaniel 3024 764 633 147 0:21:37 06:58 0:21:30 964 60.39 %
Flood Elizabeth 2477 765 132 41 0:21:37 06:58 0:21:37 193 68.32 %
Guiloff Angel 6123 774 641 90 0:21:39 06:59 0:19:56 584 65.16 %
LaSalle Jose 5180 850 705 77 0:22:01 07:06 0:19:50 565 65.51 %
Duffy Meghan 4471 888 153 39 0:22:10 07:09 0:22:10 233 66.63 %
Lakatos Nicoletta 6130 946 166 50 0:22:25 07:13 0:22:25 259 65.88 %
Brosbe Gabe 6821 966 799 182 0:22:29 07:15 0:22:07 1118 58.71 %
Hafner Emily 6124 1053 187 48 0:22:48 07:21 0:22:48 289 64.78 %
Bullard David 5698 1299 1041 168 0:23:35 07:36 0:22:30 1209 57.74 %
Yu Logan 6139 1307 1047 220 0:23:36 07:36 0:23:32 1447 55.20 %
Lathan Radford 793 1321 265 67 0:23:38 07:37 0:23:38 400 62.51 %
Jones Polly 6128 1367 278 21 0:23:45 07:39 0:23:07 326 63.91 %
Flora Lindsay 3384 1537 340 83 0:24:13 07:48 0:24:12 484 61.05 %
Herr Jennifer 6126 1723 401 58 0:24:42 07:57 0:24:28 538 60.37 %
Pombo Maria Elena 177 1745 411 107 0:24:45 07:58 0:24:45 581 59.67 %
Cartagena Cristina 6120 1782 423 65 0:24:51 08:00 0:24:41 568 59.83 %
Powell Eric 1718 1901 1434 210 0:25:10 08:06 0:23:30 1440 55.27 %
Hirschklau Rebecca 6129 1972 506 55 0:25:19 08:09 0:24:39 564 59.93 %
Stevens Lilly 3345 2043 537 125 0:25:29 08:12 0:25:25 706 58.10 %
Menderson Peter 3788 2062 1520 35 0:25:33 08:14 0:20:05 610 64.66 %
Tobar Cynthia 1368 2070 547 88 0:25:34 08:14 0:25:08 652 58.77 %
Dyachkova Elena 4333 2111 565 142 0:25:42 08:17 0:25:42 764 57.48 %
Lawson Jennifer 4306 2122 572 131 0:25:44 08:17 0:25:40 756 57.55 %
Buszwatiuk Sophie 6461 2385 701 177 0:26:26 08:31 0:26:26 915 55.87 %
Kagner Ksenia 1370 2418 720 167 0:26:31 08:32 0:26:31 937 55.70 %
Miller Ashley 690 2594 812 192 0:27:02 08:42 0:27:01 1034 54.67 %
Slaski John 3429 2656 1809 221 0:27:11 08:45 0:24:50 1724 52.29 %
Staco Reginald 2916 2913 1928 303 0:27:58 09:00 0:27:03 2127 48.01 %
Law Emily 6132 3009 1043 251 0:28:17 09:07 0:28:17 1290 52.22 %
Brown Serene 6151 3159 1122 178 0:28:44 09:15 0:28:32 1340 51.76 %
Young Shawn 6000 3163 1125 28 0:28:44 09:15 0:23:27 373 63.00 %
Lu Grace 6134 3167 1127 135 0:28:45 09:15 0:27:27 1128 53.81 %
Shu Caitlin 6137 3201 1149 75 0:28:51 09:17 0:28:51 1402 51.20 %
Cook Hannah 3027 3464 1296 84 0:29:37 09:32 0:29:37 1562 49.86 %
Curtin Teresa 4154 3562 1357 32 0:29:56 09:38 0:25:00 629 59.07 %
Amin Rakesh 1327 3708 2261 299 0:30:23 09:47 0:30:20 2519 42.81 %
Markowski Adrienne 2249 3756 1483 325 0:30:33 09:50 0:30:33 1745 48.35 %
Berkowitz Alison 6783 4043 1652 271 0:31:39 10:12 0:31:21 1887 47.10 %
Colon Jennifer 6121 4106 1697 386 0:31:52 10:16 0:31:52 1958 46.36 %
Kierzkowska Agnieszka 2199 4196 1757 286 0:32:16 10:24 0:31:51 1957 46.36 %
Esrubilsky Bruno 6122 4341 2489 441 0:32:53 10:35 0:32:47 2725 39.61 %
Walsh Charles 4917 4474 2535 449 0:33:23 10:45 0:33:13 2745 39.10 %
Urban Elizabeth 4918 4476 1940 413 0:33:24 10:45 0:33:24 2201 44.23 %
Herrera Carolina 401 4786 2150 463 0:34:38 11:09 0:34:36 2370 42.70 %
Mackey Justin 402 4790 2638 463 0:34:39 11:09 0:34:05 2791 38.10 %
Romero Damian 6312 4921 2684 329 0:35:11 11:20 0:35:10 2844 36.93 %
March Anika 6422 4959 2261 479 0:35:22 11:23 0:35:17 2445 41.85 %
Lu James 6133 5155 2765 4 0:36:29 11:45 0:24:22 1623 53.28 %
Zucker Meera 6140 5422 2572 531 0:38:31 12:24 0:38:21 2675 38.51 %

81 Total.



Registration Now Open! – NBR McCarren Park Track Classic by nbrwebjohn

mccarren_park_classic


Fifth Annual NBR McCarren Park Track Classic

Friday, April 22, 2016
6:00 PM

Registration Now Open!

McCarren Park Track
Driggs Avenue between Lorimer St. & Union Ave.


Registration Now Open!

Visit our McCarren Park Track Classic Page for all details.