Pedal To The Meadow 2025

Sunday, May 25, 2025 7:59 AM (GMT-10) - Final results

Race info
Sport: Cycling - road
Location: Kekaha, HI, United States
Start type: Mass start
Racers: 98
Timed on: iPad
Timed with: Webscorer PRO 7.3
Updated: Sunday, May 25, 2025 3:09 PM (GMT-10)

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Pedal To The Meadow 2025

Place Bib Name Category Finish time
12Carl NethercuttMen Cat 1/2/3/4/5 age 30-39 1:07:37.3--100%40.66%41.06%07:59:41.2
21Joshua DuboisMen Cat 1/2/3/4/5 age 40-49 1:08:43.1+1:05.8+1.62%98.40%39.69%40.11%07:59:41.2
326Timothy HowellMen Cat 1/2/3/4/5 age 40-49 1:12:26.9+4:49.6+7.14%93.34%36.42%36.86%07:59:41.2
43Kyle NakatsukaMen Cat 1/2/3/4/5 age 30-39 1:12:40.1+5:02.8+7.46%93.06%36.23%36.66%07:59:41.2
525Carson CourseyMen Cat 1/2/3/4/5 age 20-29 1:13:12.1+5:34.8+8.25%92.38%35.76%36.20%07:59:41.2
615Ray BrustMen Cat 1/2/3/4/5 age 60-69 1:13:44.4+6:07.1+9.05%91.70%35.29%35.73%07:59:41.2
744Ricky CollinsMen Cat 1/2/3/4/5 age 40-49 1:17:15.0+9:37.7+14.24%87.54%32.21%32.67%07:59:41.2
849Philip CamposMen Cat 1/2/3/4/5 age 40-49 1:17:15.7+9:38.4+14.26%87.52%32.20%32.66%07:59:41.2
924Cheyne Hokama-KealohiMen Cat 1/2/3/4/5 age 20-29 1:19:22.0+11:44.7+17.37%85.20%30.35%30.83%07:59:41.2
105Michael MouleMen Cat 1/2/3/4/5 age 50-59 1:20:12.2+12:34.9+18.61%84.31%29.62%30.10%07:59:41.2
1145Troy NelsonMen Cat 1/2/3/4/5 age 40-49 1:22:21.6+14:44.3+21.80%82.10%27.72%28.22%07:59:41.2
1264Walter LohseMen Cat 1/2/3/4/5 age 60-69 1:22:24.3+14:47.0+21.86%82.06%27.68%28.18%07:59:41.2
1328Oliver LilfordMen Cat 1/2/3/4/5 age 20-29 1:22:24.9+14:47.6+21.88%82.05%27.68%28.17%07:59:41.2
1460Will MatherMen Cat 1/2/3/4/5 age 40-49 1:23:13.3+15:36.0+23.07%81.25%26.97%27.47%07:59:41.2
158Perry ChanMen Cat 1/2/3/4/5 age 50-59 1:29:56.6+22:19.3+33.01%75.18%21.07%21.61%07:59:41.2
1612John ProppeMen Cat 1/2/3/4/5 age 30-39 1:30:11.1+22:33.8+33.37%74.98%20.86%21.40%07:59:41.2
1797Mackenzie YoshidaMen Cat 1/2/3/4/5 age 30-39 1:30:17.1+22:39.8+33.51%74.90%20.77%21.31%07:59:41.2
1892Philip SakabaMen Cat 1/2/3/4/5 age 30-39 1:31:28.0+23:50.7+35.26%73.93%19.73%20.28%07:59:41.2
1936Travis CounsellMen Cat 1/2/3/4/5 age 30-39 1:33:12.5+25:35.2+37.84%72.55%18.20%18.76%07:59:41.2
2056Steve LobassoMen Cat 1/2/3/4/5 age 50-59 1:33:48.2+26:10.9+38.72%72.09%17.68%18.24%07:59:41.2
2111Jennifer Jones-PatulliWomen Cat 1/2/3/4/5 age 40-49 1:33:48.4+26:11.1+38.72%72.09%17.68%18.24%07:59:41.2
2252Luke FornariMen Cat 1/2/3/4/5 age 50-59 1:35:04.7+27:27.4+40.60%71.12%16.56%17.13%07:59:41.2
2333Trey RodriguezMen Cat 1/2/3/4/5 age 20-29 1:36:30.3+28:53.0+42.71%70.07%15.31%15.89%07:59:41.2
2423Christopher HoughtlingMen Cat 1/2/3/4/5 age 50-59 1:37:20.4+29:43.1+43.95%69.47%14.58%15.16%07:59:41.2
2510Courtney MeadowsWomen Cat 1/2/3/4/5 age 40-49 1:38:14.6+30:37.3+45.28%68.83%13.78%14.37%07:59:41.2
2671Tom GatesMen Cat 1/2/3/4/5 age 70-79 1:38:22.9+30:45.6+45.49%68.73%13.66%14.25%07:59:41.2
2759Jacob McReakenMen Cat 1/2/3/4/5 age 50-59 1:38:30.0+30:52.7+45.66%68.65%13.56%14.15%07:59:41.2
2885Mike PolzinMen Cat 1/2/3/4/5 age 60-69 1:39:00.2+31:22.9+46.41%68.30%13.12%13.71%07:59:41.2
2947Kaleb BinkleyMen Cat 1/2/3/4/5 age 40-49 1:39:08.8+31:31.5+46.62%68.20%12.99%13.59%07:59:41.2
3046Kimberly FunasakiWomen Cat 1/2/3/4/5 age 50-59 1:40:44.8+33:07.5+48.99%67.12%11.59%12.19%07:59:41.2
3117Juan Pablo Garcia-NeveuMen Cat 1/2/3/4/5 age 50-59 1:41:12.5+33:35.2+49.67%66.81%11.18%11.79%07:59:41.2
3299Justin HavlickMen Cat 1/2/3/4/5 age 50-59 1:42:40.7+35:03.4+51.84%65.86%9.89%10.51%07:59:41.2
3372Eddie ObianoMen Cat 1/2/3/4/5 age 60-69 1:44:57.3+37:20.0+55.21%64.43%7.89%8.52%07:59:41.2
3440James LloydMen Cat 1/2/3/4/5 age 40-49 1:46:20.7+38:43.4+57.26%63.59%6.67%7.31%07:59:41.2
3520Todd MeadowsMen Cat 1/2/3/4/5 age 50-59 1:46:42.1+39:04.8+57.79%63.37%6.36%7.00%07:59:41.2
3651Mark FrazierMen Cat 1/2/3/4/5 age 50-59 1:46:49.2+39:11.9+57.97%63.30%6.26%6.90%07:59:41.2
3790Clint ValentineMen Cat 1/2/3/4/5 age 30-39 1:46:50.2+39:12.9+57.99%63.29%6.24%6.88%07:59:41.2
3839Andrew FergusonMen Cat 1/2/3/4/5 age 30-39 1:47:03.4+39:26.1+58.32%63.16%6.05%6.69%07:59:41.2
3983Thomas PickettMen Cat 1/2/3/4/5 age 60-69 1:47:12.8+39:35.5+58.55%63.07%5.91%6.55%07:59:41.2
4018Pamela Garcia-NeveuWomen Cat 1/2/3/4/5 age 50-59 1:49:29.7+41:52.4+61.92%61.76%3.91%4.57%07:59:41.2
4130Atomman KimmMen Cat 1/2/3/4/5 age 70-79 1:49:56.8+42:19.5+62.59%61.50%3.51%4.17%07:59:41.2
4280Irineo SorianoMen Cat 1/2/3/4/5 age 70-79 1:52:12.3+44:35.0+65.93%60.27%1.53%2.20%07:59:41.2
4357Chet MyersMen Cat 1/2/3/4/5 age 50-59 1:52:18.2+44:40.9+66.08%60.21%1.45%2.12%07:59:41.2
4468Francis HetheringtonMen Cat 1/2/3/4/5 age 60-69 1:53:42.3+46:05.0+68.15%59.47%0.22%0.90%07:59:41.2
4541Hana DarlingWomen Cat 1/2/3/4/5 age 30-39 1:54:44.0+47:06.7+69.67%58.94%-0.69%0.00%07:59:41.2
4698Derek JohnsonMen Cat 1/2/3/4/5 age 40-49 1:55:20.7+47:43.4+70.57%58.63%-1.22%-0.53%07:59:41.2
4750Martine GarciaWomen Cat 1/2/3/4/5 age 40-49 1:55:28.6+47:51.3+70.77%58.56%-1.34%-0.65%07:59:41.2
4895Lester TugadeMen Cat 1/2/3/4/5 age 50-59 1:55:32.7+47:55.4+70.87%58.52%-1.40%-0.71%07:59:41.2
49103Zac McCreakenJuniors Male 1/2/3/4/5 age 10-19 1:56:46.4+49:09.1+72.69%57.91%-2.48%-1.78%07:59:41.2
5087Steve RogoffMen Cat 1/2/3/4/5 age 50-59 1:57:32.7+49:55.4+73.83%57.53%-3.15%-2.45%07:59:41.2
5132Stephen ValenteMen Cat 1/2/3/4/5 age 30-39 1:57:55.7+50:18.4+74.39%57.34%-3.49%-2.78%07:59:41.2
5229Denee MadambaWomen Cat 1/2/3/4/5 age 60-69 1:58:35.5+50:58.2+75.38%57.02%-4.07%-3.36%07:59:41.2
5321Chris MinsonTandem 1:58:45.9+51:08.6+75.63%56.94%-4.22%-3.51%07:59:41.2
5422Maia MinsonTandem 1:58:46.0+51:08.7+75.63%56.94%-4.23%-3.52%07:59:41.2
5566Rene RelacionMen Cat 1/2/3/4/5 age 60-69 1:59:03.6+51:26.3+76.07%56.80%-4.48%-3.77%07:59:41.2
5661Suzanne McFarlandWomen Cat 1/2/3/4/5 age 30-39 1:59:37.0+51:59.7+76.89%56.53%-4.97%-4.26%07:59:41.2
57100Hazel CashmanWomen Cat 1/2/3/4/5 age 20-29 2:00:40.4+53:03.1+78.45%56.04%-5.90%-5.18%07:59:41.2
5889Dave RowenMen Cat 1/2/3/4/5 age 60-69 2:03:21.9+55:44.6+82.43%54.81%-8.26%-7.52%07:59:41.2
5927Archer ObianoMen Cat 1/2/3/4/5 age 30-39 2:03:43.0+56:05.7+82.95%54.66%-8.57%-7.83%07:59:41.2
6019Luke MetzkerMen Cat 1/2/3/4/5 age 40-49 2:03:57.0+56:19.7+83.30%54.56%-8.77%-8.03%07:59:41.2
6178Nancy PappasWomen Cat 1/2/3/4/5 age 50-59 2:04:26.8+56:49.5+84.03%54.34%-9.21%-8.47%07:59:41.2
6277Garrett ScalesMen Cat 1/2/3/4/5 age 60-69 2:04:55.5+57:18.2+84.74%54.13%-9.63%-8.88%07:59:41.2
6379Rick HarkinsMen Cat 1/2/3/4/5 age 70-79 2:05:38.4+58:01.1+85.80%53.82%-10.26%-9.51%07:59:41.2
6484Martin ReeseMen Cat 1/2/3/4/5 age 50-59 2:06:11.2+58:33.9+86.61%53.59%-10.74%-9.98%07:59:41.2
6582Joshua PetersMen Cat 1/2/3/4/5 age 30-39 2:07:08.8+59:31.5+88.03%53.18%-11.58%-10.82%07:59:41.2
6670William QuinlanMen Cat 1/2/3/4/5 age 70-79 2:08:10.2+1:00:32.9+89.54%52.76%-12.48%-11.71%07:59:41.2
6735Corey McAbeeeMen Cat 1/2/3/4/5 age 30-39 2:11:52.3+1:04:15.0+95.01%51.28%-15.73%-14.94%07:59:41.2
6891Laura MetzkerWomen Cat 1/2/3/4/5 age 30-39 2:12:19.4+1:04:42.1+95.68%51.10%-16.12%-15.33%07:59:41.2
6993Alexander SriharshaMen Cat 1/2/3/4/5 age 30-39 2:12:48.4+1:05:11.1+96.40%50.92%-16.55%-15.75%07:59:41.2
7094Jenelle TimmonsWomen Cat 1/2/3/4/5 age 40-49 2:13:14.4+1:05:37.1+97.04%50.75%-16.93%-16.13%07:59:41.2
7137Mary AlexanderWomen Cat 1/2/3/4/5 age 60-69 2:14:50.2+1:07:12.9+99.40%50.15%-18.33%-17.52%07:59:41.2
7255Sharon KeithWomen Cat 1/2/3/4/5 age 70-79 2:15:32.1+1:07:54.8+100.43%49.89%-18.94%-18.13%07:59:41.2
7376Karel MoralesMen Cat 1/2/3/4/5 age 50-59 2:16:25.8+1:08:48.5+101.75%49.57%-19.73%-18.91%07:59:41.2
7467DJ AdamsMen Cat 1/2/3/4/5 age 60-69 2:16:47.4+1:09:10.1+102.29%49.43%-20.04%-19.22%07:59:41.2
7563Christian MartinezMen Cat 1/2/3/4/5 age 30-39 2:18:17.4+1:10:40.1+104.51%48.90%-21.36%-20.53%07:59:41.2
76102Laura LuckettWomen Cat 1/2/3/4/5 age 60-69 2:18:24.7+1:10:47.4+104.69%48.86%-21.47%-20.64%07:59:41.2
77101Jim LuckettMen Cat 1/2/3/4/5 age 60-69 2:18:25.0+1:10:47.7+104.69%48.85%-21.47%-20.64%07:59:41.2
7848Crystal NelsonWomen Cat 1/2/3/4/5 age 30-39 2:21:08.7+1:13:31.4+108.73%47.91%-23.86%-23.02%07:59:41.2
7996Steven PennerMen Cat 1/2/3/4/5 age 50-59 2:23:35.0+1:15:57.7+112.33%47.10%-26.00%-25.15%07:59:41.2
8065Sherrill DeanMen Cat 1/2/3/4/5 age 60-69 2:25:48.6+1:18:11.3+115.63%46.38%-27.96%-27.09%07:59:41.2
8186Diane SandsWomen Cat 1/2/3/4/5 age 50-59 2:30:55.3+1:23:18.0+123.19%44.81%-32.44%-31.54%07:59:41.2
8253Mario Garcia HernandezMen Cat 1/2/3/4/5 age 50-59 2:32:08.4+1:24:31.1+124.99%44.45%-33.51%-32.60%07:59:41.2
8338Xandra BestWomen Cat 1/2/3/4/5 age 30-39 2:33:35.8+1:25:58.5+127.14%44.03%-34.79%-33.87%07:59:41.2
8431Lauren ValenteWomen Cat 1/2/3/4/5 age 30-39 2:37:18.3+1:29:41.0+132.63%42.99%-38.05%-37.10%07:59:41.2
85104Charles MouleMen Cat 1/2/3/4/5 age 20-29 2:44:20.1+1:36:42.8+143.02%41.15%-44.22%-43.23%07:59:41.2
8634Connor JettonMen Cat 1/2/3/4/5 age 30-39 2:44:34.9+1:36:57.6+143.39%41.09%-44.43%-43.45%07:59:41.2
8714Brian DodsonMen Cat 1/2/3/4/5 age 60-69 2:45:56.1+1:38:18.8+145.39%40.75%-45.62%-44.63%07:59:41.2
8816Mary DodsonWomen Cat 1/2/3/4/5 age 60-69 2:55:17.6+1:47:40.3+159.23%38.58%-53.83%-52.78%07:59:41.2
8943David AdlerMen Cat 1/2/3/4/5 age 40-49 2:55:41.4+1:48:04.1+159.81%38.49%-54.18%-53.13%07:59:41.2
-7Collen KeltonMen Cat 1/2/3/4/5 age 40-49 DNF-----07:59:41.2
-54George KruseMen Cat 1/2/3/4/5 age 60-69 DNF-----07:59:41.2
-58Steve LayneMen Cat 1/2/3/4/5 age 70-79 DNF-----07:59:41.2
-62Michael HenryMen Cat 1/2/3/4/5 age 60-69 DNF-----07:59:41.2
-73Vincent OrtolanoMen Cat 1/2/3/4/5 age 70-79 DNF-----07:59:41.2
-74Rolly RullMen Cat 1/2/3/4/5 age 70-79 DNF-----07:59:41.2
-75Travis ParkerMen Cat 1/2/3/4/5 age 50-59 DNF-----07:59:41.2
-81Paul PerryMen Cat 1/2/3/4/5 age 50-59 DNF-----07:59:41.2
-88Hidehisa TsuzukiMen Cat 1/2/3/4/5 age 60-69 DNF-----07:59:41.2