FTC 2018-2019 Team Strengths (Maryland)




     

Top 10 Scores *
ScoreAutoTeleOpEndLander MineralsSilverGoldTeamsEvent
372100172100343318479 RoboCavs Gold7182 Mechanical Paradox Cubed10001 RoboCavs SilverMaryland Howard County 02/17/2019
362150112100205152818 G-FORCE10078 EngiNerds11886 Crossroads G.E.E.KsMaryland Montgomery 2 01/20/2019
337125112100222207182 Mechanical Paradox Cubed4991 Gear FreaksMaryland Howard County 02/17/2019
32312598100188108719 QuantumLeap13405 GaCo North MiddleMaryland Mountain Maryland 01/12/2019
32295127100255208479 RoboCavs Gold7182 Mechanical Paradox Cubed10001 RoboCavs SilverMaryland Howard County 02/17/2019
3191609465187112818 G-FORCE10078 EngiNerds11886 Crossroads G.E.E.KsMaryland Montgomery 2 01/20/2019
3121357710013766390 Falcons5233 Vector8194 Digi-GatorsMaryland Howard County 02/17/2019
310110100100205157393 electron Volts12751 Big Boab14923 ACESMaryland USRA Snow MakeUp 02/03/2019
30912089100154117182 Mechanical Paradox Cubed6390 FalconsMaryland Howard County 02/17/2019
306100106100207132818 G-FORCE10078 EngiNerds11886 Crossroads G.E.E.KsMaryland Montgomery 2 01/20/2019
30611096100184148479 RoboCavs Gold7182 Mechanical Paradox Cubed10001 RoboCavs SilverMaryland Howard County 02/17/2019



 

Rank Team Team name Non Penalty
OPRc *
Non Penalty
OPR *
OPR * Auto
OPRc *
TeleOp
OPRc *
End Game
OPRc *
Auto
Land *
Auto
Sample *
Teleop
Minerals
In Lander *
Teleop
Silver *
Teleop
Gold *
End
Latch *
NP Avg ** Histogram Max NP
Score
Worlds Event Quals
Rank
Avg RP Avg TBP Qual
matches
Event
W-L-T
1 8719 QuantumLeap 181.0 199.2 200.9 55.3 75.7 50.0 1.0 0.4 14.5 7.3 7.2 1.0 225.6 63:42:46:230:0:0,78:40:50:212:0:0,55:108:50:167:0:0,23:84:50:222:0:0,71:93:43:172:0:0 277 Maryland Mountain Maryland 01/12/2019 1 2.0 103.0 5 9‑1‑0
2 7393 electron Volts 170.6 170.3 172.1 75.4 45.2 50.0 1.0 1.2 9.0 4.9 4.1 0.8 220.4 82:53:50:195:0:0,90:36:27:227:0:0,50:37:50:243:0:0,75:59:38:208:0:0,79:43:50:209:0:0 264 Maryland USRA Snow MakeUp 02/03/2019 1 2.0 135.8 5 9‑1‑0
3 8479 RoboCavs Gold 167.7 173.5 174.5 54.9 62.8 50.0 0.9 0.6 12.8 0.5 12.3 1.0 255.8 49:72:31:228:0:0,46:56:44:235:0:0,79:58:50:193:0:0,50:57:50:223:0:0,59:73:50:197:0:0 286 Maryland Howard County 02/17/2019 1 2.0 111.4 5 9‑1‑0
4 6051 Quantum Mechanics 141.3 160.9 160.1 59.1 32.2 50.0 1.0 0.3 6.1 3.8 2.3 1.0 221.5 46:34:32:268:0:0,39:29:50:262:0:0,62:63:50:205:0:0,66:42:50:222:0:0,78:10:50:242:0:0,82:12:35:251:0:0 272 Maryland Southern 12/08/18 1 2.0 141.3 6 10‑0‑0
5 7393 electron Volts 137.1 136.1 136.1 64.7 29.3 43.1 1.0 0.7 5.2 0.8 4.4 0.9 224.8 55:23:0:302:0:0,89:25:46:220:0:0,53:36:25:266:0:0,53:25:46:256:0:0,80:33:50:217:0:0,74:34:46:227:0:0 279 Maryland PG 01/26/2019 1 2.0 113.0 6 7‑2‑0
6 4991 Gear Freaks 131.9 143.9 144.0 62.0 19.9 50.0 1.0 0.5 4.5 0.0 4.5 1.0 227.4 52:10:50:268:0:0,42:21:38:0:0:280,52:12:50:266:0:0,85:28:50:217:0:0,91:17:50:221:0:0 337 Maryland Howard County 02/17/2019 6 1.6 115.2 5 4‑3‑0
7 12718 Lion's Den 130.7 136.2 149.2 61.7 19.0 50.0 0.9 0.7 3.9 0.0 3.9 0.9 178.5 83:13:27:257:0:0,73:22:38:247:0:0,26:25:50:279:0:0,43:25:50:261:0:0,79:7:50:244:0:0,62:22:45:251:0:0 229 Maryland Annapolis 1 01/12/19 1 2.0 108.3 6 9‑2‑0
8 2818 G-FORCE 129.0 143.7 143.8 32.1 63.4 33.5 0.5 0.2 12.1 3.1 9.0 0.6 176.8 19:15:27:319:0:0,62:80:34:205:0:0,53:80:48:199:0:0,36:88:14:242:0:0,11:61:42:266:0:0 231 Maryland Montgomery 2 01/20/2019 1 2.0 83.6 5 9‑0‑0
9 13743 GaCo North Middle 2 126.6 131.3 131.3 58.8 24.2 43.6 0.8 0.9 4.4 4.4 0.0 0.8 184.4 76:36:50:218:0:0,71:9:43:0:0:256,20:37:32:0:0:291,69:26:50:236:0:0,57:6:24:0:0:293 285 Maryland PG 01/26/2019 19 0.8 133.4 5 2‑3‑0
10 5233 Vector 124.9 134.5 134.5 55.8 19.2 50.0 1.0 0.3 3.1 1.4 1.7 1.0 197.6 61:21:50:248:0:0,54:17:50:260:0:0,62:20:50:248:0:0,51:16:50:0:0:264,55:23:50:252:0:0 240 Maryland PG 01/26/2019 5 1.6 114.4 5 5‑3‑0
11 7182 Mechanical Paradox Cubed 123.3 118.5 117.1 29.7 58.6 34.9 0.8 0.0 11.1 1.4 9.6 0.8 216.6 26:66:31:257:0:0,0:0:0:0:0:380,43:70:41:226:0:0,40:84:41:215:0:0,23:68:41:248:0:0 337 Maryland Howard County 02/17/2019 9 1.6 101.8 5 8‑2‑0
12 9530 Gunston Herons 122.9 133.5 133.7 60.9 12.1 50.0 1.0 0.8 1.0 1.0 0.0 1.0 229.4 71:8:50:251:0:0,60:14:50:256:0:0,62:7:50:261:0:0,72:11:50:0:0:247,47:14:50:269:0:0 252 Maryland Howard County 02/17/2019 5 1.6 118.0 5 4‑3‑0
13 10078 EngiNerds 122.8 124.0 133.2 63.3 20.7 38.7 0.8 1.1 3.6 2.7 0.8 0.8 177.7 43:28:22:288:0:0,62:32:50:236:0:0,84:23:50:222:0:0,61:8:31:0:0:281,49:0:31:299:0:0,78:30:50:222:0:0 294 Maryland Greater DC 12/09/18 1 1.7 106.8 6 9‑1‑0
14 5233 Vector 120.6 109.9 108.4 32.8 41.1 46.7 0.8 0.0 7.6 4.8 2.8 0.8 211.4 43:44:50:243:0:0,34:52:21:0:0:273,28:25:48:279:0:0,30:38:48:264:0:0,27:54:48:251:0:0 275 Maryland Howard County 02/17/2019 4 1.6 132.0 5 7‑3‑0
15 6390 Falcons 119.7 124.2 130.7 53.6 16.1 50.0 0.8 0.7 1.6 0.5 1.1 1.0 199.8 51:6:37:287:0:0,53:6:44:0:0:277,77:19:50:234:0:0,45:10:50:275:0:0,43:21:50:265:0:0 309 Maryland Howard County 02/17/2019 3 1.6 144.4 5 7‑3‑0
16 14516 Night Owls 116.9 116.7 116.7 53.3 21.5 42.1 1.0 0.5 3.9 2.7 1.2 0.9 193.6 61:17:0:0:0:302,51:18:46:264:0:0,50:22:50:258:0:0,55:22:49:254:0:0,70:36:40:234:0:0 240 Maryland PG 01/26/2019 9 1.6 83.4 5 5‑3‑0
17 11525 Minerva's Mechanics 116.6 135.8 135.9 54.4 12.2 50.0 1.0 0.7 2.4 2.2 0.2 1.0 166.8 56:26:50:248:0:0,68:0:32:280:0:0,76:14:42:248:0:0,23:14:50:0:0:293,49:8:50:273:0:0 227 Maryland Montgomery 2 01/20/2019 3 1.6 80.6 5 6‑4‑0
18 12118 GaCo North High 111.4 113.8 113.8 45.3 16.1 50.0 0.5 0.8 3.0 0.5 2.5 1.0 171.4 46:5:41:288:0:0,45:18:50:267:0:0,74:17:50:239:0:0,0:14:50:0:0:316,51:18:50:260:0:0 277 Maryland PG 01/26/2019 6 1.6 102.2 5 7‑3‑0
19 11215 TechBrick FTC 11215 110.1 121.5 121.5 38.6 21.5 50.0 1.0 0.0 3.5 3.5 0.0 1.0 181.8 43:18:41:0:0:279,48:30:50:251:0:0,45:21:50:264:0:0,32:18:50:280:0:0,31:23:50:0:0:276 230 Maryland PG 01/26/2019 13 1.2 113.8 5 6‑4‑0
20 3886 Quake 109.9 124.4 123.5 59.9 0.0 50.0 0.9 0.7 0.0 0.0 0.0 1.0 181.2 64:-0:50:266:0:0,60:-0:50:270:0:0,81:-0:50:249:0:0,46:-0:50:0:0:284,49:-0:35:0:0:296 234 Maryland Howard County 02/17/2019 12 1.2 116.8 5 3‑4‑0
21 12888 The Stingers 108.1 104.5 102.3 57.5 8.6 42.1 0.7 0.8 0.0 0.0 0.0 0.9 158.8 77:6:23:274:0:0,0:16:50:0:0:314,72:8:50:250:0:0,60:4:50:266:0:0,73:15:50:0:0:242,56:8:12:304:0:0 229 Maryland Annapolis 1 01/12/19 3 1.3 107.8 6 7‑4‑0
22 9802 Drachen Fire 104.8 107.5 108.4 46.6 10.0 48.2 1.0 0.1 0.6 0.0 0.6 0.9 187.8 34:12:41:293:0:0,38:10:50:282:0:0,48:5:49:278:0:0,67:18:43:252:0:0,42:10:50:0:0:278 256 Maryland Howard County 02/17/2019 7 1.6 109.0 5 4‑3‑0
23 12718 Lion's Den 104.8 124.4 123.9 34.7 23.6 46.5 0.9 0.1 4.4 0.0 4.4 0.9 155.8 0:17:0:0:0:363,28:19:37:0:0:296,36:24:50:270:0:0,43:23:50:264:0:0,58:33:50:239:0:0 242 Maryland Montgomery 1 01/19/2019 9 1.2 111.2 5 5‑5‑0
24 11553 Indiana Drones 104.0 112.8 112.5 48.6 5.4 50.0 1.0 0.0 0.2 0.0 0.2 0.9 155.7 46:2:15:0:0:317,58:5:50:267:0:0,42:5:41:0:0:293,66:8:50:256:0:0,42:3:45:0:0:290,44:8:50:278:0:0 217 Maryland Montgomery 1 01/19/2019 8 1.0 109.8 6 4‑5‑0
25 11525 Minerva's Mechanics 102.1 104.6 101.6 44.3 14.4 43.4 0.9 0.4 3.0 1.8 1.1 0.8 170.6 29:10:32:310:0:0,24:9:0:0:0:347,44:13:50:272:0:0,51:23:50:256:0:0,69:12:50:250:0:0 236 Maryland USRA Snow MakeUp 02/03/2019 3 1.6 93.4 5 7‑3‑0
26 13405 GaCo North Middle 102.0 104.6 104.6 43.6 8.4 50.0 0.9 0.0 1.6 1.1 0.5 1.0 176.4 64:8:37:271:0:0,51:12:50:267:0:0,34:9:50:287:0:0,50:7:50:273:0:0,23:6:50:0:0:301 211 Maryland PG 01/26/2019 4 1.6 119.2 5 8‑3‑0
27 13077 Launch Tower 101.5 104.6 104.6 40.2 11.3 50.0 0.9 0.2 1.7 1.0 0.6 1.0 195.4 19:13:50:298:0:0,56:9:50:265:0:0,40:9:50:281:0:0,36:10:50:285:0:0,40:14:50:276:0:0 279 Maryland PG 01/26/2019 2 2.0 103.0 5 5‑2‑0
28 2843 Under The Son 100.7 104.5 104.5 39.5 11.3 50.0 1.0 0.0 1.9 1.5 0.4 1.0 168.4 40:7:50:0:0:283,39:14:50:276:0:0,41:11:49:279:0:0,45:9:50:276:0:0,34:15:48:0:0:283 211 Maryland PG 01/26/2019 12 1.2 125.2 5 3‑4‑0
29 11553 Indiana Drones 100.5 97.1 97.5 44.2 23.0 33.3 0.7 0.3 3.9 0.7 3.3 0.7 179.2 22:8:29:0:0:321,47:38:37:259:0:0,57:30:50:243:0:0,37:6:22:315:0:0,69:21:28:262:0:0 246 Maryland Howard County 02/17/2019 8 1.6 103.2 5 4‑1‑0
30 11534 Bot Brigade Quartic 100.3 101.5 103.2 51.8 15.8 32.7 1.0 0.6 3.5 1.9 1.6 0.6 173.3 52:10:24:295:0:0,72:15:31:263:0:0,41:16:40:284:0:0,42:10:40:0:0:288,57:17:35:0:0:272,55:24:29:272:0:0 210 Maryland Southern 12/08/18 2 1.3 151.0 6 8‑2‑0
31 15312 FORTNITE Detox Club 100.2 111.7 112.6 58.1 1.0 41.2 1.0 0.2 0.5 0.5 0.0 0.7 168.6 75:3:47:255:0:0,47:3:50:280:0:0,71:0:40:0:0:268,58:1:32:289:0:0,58:1:31:0:0:289 187 Maryland Howard County 02/17/2019 13 1.2 115.6 5 3‑4‑0
32 14516 Night Owls 99.5 102.5 104.0 33.3 16.2 50.0 0.9 0.1 3.1 1.7 1.4 0.9 130.8 21:0:41:0:0:318,35:23:50:272:0:0,35:16:50:0:0:279,43:22:42:274:0:0,32:18:48:0:0:283 162 Maryland Montgomery 2 01/20/2019 12 0.8 98.8 5 2‑5‑0
33 9794 Wizards.exe 99.2 102.0 119.4 45.4 22.5 31.3 0.7 0.5 2.8 0.7 2.1 0.7 153.8 61:8:32:278:0:0,0:35:38:306:0:0,61:26:45:249:0:0,71:26:28:254:0:0,26:8:0:0:0:346 294 yes Maryland Greater DC 12/09/18 6 1.6 59.8 5 8‑1‑0
34 11534 Bot Brigade Quartic 97.5 101.4 103.6 43.2 13.3 41.0 0.9 0.5 2.5 2.5 0.0 0.7 150.2 31:15:50:284:0:0,55:2:49:0:0:274,34:7:0:0:0:339,39:11:25:0:0:304,49:19:39:273:0:0,59:27:50:244:0:0 239 Maryland Annapolis 1 01/12/19 9 1.0 75.7 6 3‑5‑0
35 13975 Extreme STEAM 96.4 96.7 94.7 64.9 7.3 24.2 1.0 1.1 1.0 0.7 0.3 0.2 187.2 33:2:21:0:0:324,54:6:21:298:0:0,72:7:25:276:0:0,93:13:22:252:0:0,75:14:39:253:0:0 256 Maryland Howard County 02/17/2019 10 1.6 98.0 5 4‑1‑0
36 11215 TechBrick FTC 11215 94.5 105.8 104.8 51.2 26.2 17.2 0.9 0.4 4.4 4.4 0.0 0.3 157.2 65:39:0:276:0:0,15:27:25:0:0:313,71:23:27:259:0:0,49:20:27:0:0:284,64:19:18:0:0:278 214 Maryland USRA Snow MakeUp 02/03/2019 12 0.8 117.2 5 2‑3‑0
37 4318 Green Machine Reloaded 94.5 104.7 105.6 38.1 6.4 50.0 0.6 0.0 0.0 0.0 0.0 1.0 149.8 50:5:45:280:0:0,24:7:50:300:0:0,52:8:36:284:0:0,56:8:50:266:0:0,23:7:50:300:0:0 166 Maryland Montgomery 1 01/19/2019 1 2.0 120.0 5 9‑0‑0
38 389 The Swarm 94.1 102.5 103.2 47.3 8.8 38.1 0.9 0.3 1.0 1.0 0.0 0.6 135.0 34:10:48:288:0:0,27:0:0:0:0:353,52:12:15:301:0:0,49:6:48:0:0:277,58:12:14:296:0:0,70:15:50:245:0:0 235 Maryland Annapolis 1 01/12/19 4 1.3 76.3 6 4‑4‑0
39 12888 The Stingers 94.1 90.3 91.6 48.2 7.5 38.4 0.9 0.6 0.8 0.0 0.7 0.5 172.0 24:0:10:0:0:345,40:4:43:0:0:293,54:10:43:273:0:0,35:7:50:288:0:0,53:8:40:0:0:278,70:10:25:276:0:0 272 Maryland Southern 12/08/18 7 1.0 136.7 6 3‑5‑0
40 8194 Digi-Gators 93.6 84.3 92.6 41.9 8.7 43.0 1.0 0.0 0.7 0.2 0.5 0.8 152.4 49:6:46:279:0:0,32:7:41:300:0:0,39:12:45:0:0:284,42:11:33:294:0:0,30:11:50:0:0:290 234 Maryland Howard County 02/17/2019 14 1.2 111.2 5 6‑4‑0
41 13743 GaCo North Middle 2 93.3 78.9 78.1 56.4 12.2 24.6 0.8 0.9 2.6 1.6 1.0 0.4 146.4 47:25:23:0:0:285,55:3:9:312:0:0,77:0:14:289:0:0,18:14:34:313:0:0,78:18:34:251:0:0 225 Maryland Mountain Maryland 01/12/2019 3 1.6 72.2 5 6‑3‑0
42 4318 Green Machine Reloaded 93.0 85.9 85.5 36.9 6.1 50.0 1.0 0.0 0.2 0.0 0.2 1.0 173.8 29:6:32:312:0:0,30:4:50:0:0:296,29:6:50:295:0:0,32:8:50:0:0:289,53:9:43:275:0:0,38:4:47:291:0:0 204 Maryland Southern 12/08/18 3 1.3 128.5 6 4‑4‑0
43 9802 Drachen Fire 92.6 99.9 99.9 37.8 5.6 49.2 1.0 0.2 0.0 0.0 0.0 0.8 151.0 40:4:50:286:0:0,42:8:35:295:0:0,38:10:50:283:0:0,46:5:50:279:0:0,32:0:15:0:0:333 203 Maryland Montgomery 1 01/19/2019 5 1.6 79.2 5 4‑3‑0
44 7182 Mechanical Paradox Cubed 91.8 93.0 93.8 37.2 35.5 19.1 0.8 0.5 7.2 1.7 5.5 0.4 122.2 47:62:24:248:0:0,42:45:18:275:0:0,48:35:28:0:0:270,56:49:31:245:0:0,16:0:0:364:0:0,24:15:0:0:0:341 185 Maryland Annapolis 1 01/12/19 7 1.3 52.8 6 8‑3‑0
45 14692 DM Robotics 2 90.3 88.6 93.2 55.8 7.2 27.3 1.0 0.4 0.9 0.9 0.0 0.4 152.2 70:11:0:299:0:0,39:4:35:0:0:302,56:7:39:279:0:0,67:6:24:0:0:283,42:4:21:313:0:0 220 Maryland USRA Snow MakeUp 02/03/2019 7 1.2 101.6 5 6‑4‑0
46 12751 Big Boab 90.0 98.8 96.7 30.3 18.9 40.8 0.8 0.1 1.8 1.1 0.7 0.7 150.4 29:10:10:0:0:331,32:14:47:0:0:287,27:8:50:295:0:0,31:37:45:268:0:0,38:17:46:279:0:0 204 Maryland USRA Snow MakeUp 02/03/2019 5 1.2 114.0 5 7‑3‑0
47 10338 Dark Matters 88.3 98.7 106.4 33.7 16.0 38.7 0.8 0.2 2.7 1.7 1.1 0.5 125.2 28:17:36:299:0:0,42:19:50:269:0:0,24:22:50:0:0:284,36:22:50:0:0:272,48:0:10:0:0:322 143 Maryland USRA Snow MakeUp 02/03/2019 15 0.8 97.2 5 2‑5‑0
48 13077 Launch Tower 88.2 93.5 92.7 43.7 9.1 35.4 1.0 0.2 1.4 1.4 0.0 0.7 149.7 43:5:26:305:0:0,24:10:0:346:0:0,65:11:48:0:0:256,50:8:50:273:0:0,48:13:31:288:0:0,43:11:41:0:0:284 193 Maryland Southern 12/08/18 4 1.3 120.8 6 6‑4‑0
49 12518 Almond Robotics 86.6 82.7 83.4 31.4 30.2 25.0 0.8 0.0 5.2 1.7 3.5 0.4 152.2 25:10:25:0:0:319,33:49:28:269:0:0,39:12:25:0:0:305,40:33:0:307:0:0,0:34:42:0:0:304 232 Maryland Howard County 02/17/2019 20 0.8 126.6 5 2‑3‑0
50 12134 GaCo South High 86.3 88.0 88.0 45.0 9.9 31.4 0.9 0.1 2.0 0.8 1.2 0.6 143.2 59:14:42:265:0:0,45:9:10:0:0:317,35:2:19:0:0:325,48:14:37:0:0:281,34:4:37:304:0:0 285 Maryland PG 01/26/2019 22 0.8 101.8 5 2‑3‑0
51 13680 ZipTiers 86.2 89.6 94.2 40.7 0.0 45.4 1.0 0.2 0.0 0.0 0.0 0.9 156.2 26:0:33:320:0:0,43:0:50:0:0:287,37:0:34:0:0:309,55:0:50:275:0:0,55:0:50:275:0:0 208 Maryland USRA Snow MakeUp 02/03/2019 6 1.2 109.6 5 3‑4‑0
52 7265 Gear Grinders 84.8 89.5 89.2 39.4 1.0 44.5 1.0 0.4 0.3 0.3 0.0 1.0 158.4 33:0:47:299:0:0,43:0:34:0:0:303,54:1:50:275:0:0,40:4:35:0:0:301,37:6:48:0:0:288 195 Maryland Howard County 02/17/2019 22 0.8 117.2 5 2‑3‑0
53 10833 Robo-Scorps 84.6 98.0 98.0 40.8 9.3 34.5 1.0 0.0 0.5 0.1 0.5 0.6 147.2 36:5:13:0:0:326,41:12:41:287:0:0,57:7:15:301:0:0,44:6:45:285:0:0,53:17:38:0:272:0 206 Maryland PG 01/26/2019 11 1.4 117.4 5 3‑1‑1
54 11500 St. Mark Robotics 83.4 87.7 87.7 47.8 1.4 34.2 1.0 0.0 0.0 0.0 0.0 0.5 128.0 45:1:0:0:0:334,27:2:15:0:0:336,45:1:45:289:0:0,54:1:50:0:0:275,79:2:50:0:250:0 218 Maryland PG 01/26/2019 25 0.6 90.6 5 1‑3‑1
55 7265 Gear Grinders 83.3 84.2 85.3 29.6 12.0 41.7 0.9 0.0 1.5 1.0 0.5 1.0 163.8 17:9:0:0:0:354,35:9:23:313:0:0,19:9:50:301:0:0,34:19:49:278:0:0,33:17:50:280:0:0 227 Maryland USRA Snow MakeUp 02/03/2019 2 1.6 114.0 5 7‑3‑0
56 6284 RoboCavs Black 83.3 89.4 97.3 36.0 4.9 42.4 1.0 0.0 0.8 0.3 0.5 0.7 129.0 35:2:27:315:0:0,32:4:50:294:0:0,71:13:44:0:0:253,14:7:39:0:0:320,44:2:39:0:0:295 174 Maryland Montgomery 1 01/19/2019 16 0.8 110.2 5 2‑5‑0
57 9445 Loading... 83.1 90.2 90.2 24.6 15.4 43.1 0.7 0.0 2.6 0.9 1.7 0.7 141.0 11:18:46:304:0:0,25:17:46:292:0:0,28:23:50:279:0:0,28:15:50:0:0:287,41:4:0:0:0:335 205 Maryland PG 01/26/2019 14 1.2 96.4 5 7‑4‑0
58 10078 EngiNerds 81.9 56.7 57.7 52.9 0.0 29.0 0.7 0.9 0.0 0.0 0.0 0.5 149.2 31:-0:23:326:0:0,67:-0:18:295:0:0,36:-0:0:344:0:0,68:-0:50:262:0:0,53:-0:49:278:0:0 204 Maryland Montgomery 2 01/20/2019 2 2.0 54.2 5 9‑0‑0
59 4234 TechBrick FTC 4234 81.5 68.4 68.4 33.0 6.8 41.7 0.9 0.0 0.4 0.4 0.0 0.8 174.4 30:1:38:311:0:0,42:10:45:283:0:0,27:8:25:320:0:0,36:4:50:290:0:0,17:5:46:0:0:312 230 Maryland PG 01/26/2019 3 1.6 134.2 5 7‑3‑0
60 3583 Cybirds 81.0 79.3 77.0 27.5 10.2 43.3 0.6 0.2 1.3 0.1 1.2 0.9 132.2 27:10:41:302:0:0,41:17:50:272:0:0,18:9:46:306:0:0,15:3:18:0:0:343,32:11:39:298:0:0 225 Maryland Greater DC 12/09/18 8 1.6 58.6 5 6‑4‑0
61 10001 RoboCavs Silver 80.5 81.3 81.1 39.5 0.0 40.9 1.0 0.3 0.0 0.0 0.0 0.8 153.8 56:0:46:0:0:278,32:0:46:302:0:0,39:0:30:0:0:311,33:0:28:319:0:0,49:0:50:281:0:0 206 Maryland Howard County 02/17/2019 11 1.2 120.6 5 7‑3‑0
62 6390 Falcons 79.7 83.7 71.7 24.7 5.0 50.0 0.1 0.1 0.0 0.0 0.0 0.9 113.6 0:3:34:0:0:343,26:6:50:0:0:298,28:4:15:0:0:333,25:9:50:296:0:0,45:4:50:0:0:281 165 Maryland Greater DC 12/09/18 20 0.4 103.2 5 1‑6‑0
63 13389 Mallard Robotics 79.3 89.1 89.1 41.1 4.3 33.9 0.9 0.0 0.3 0.0 0.3 0.8 153.6 0:1:0:0:0:379,47:3:25:0:0:305,53:6:50:271:0:0,51:4:46:0:0:279,51:6:45:278:0:0 246 Maryland Howard County 02/17/2019 24 0.8 100.2 5 2‑3‑0
64 389 The Swarm 78.8 76.4 75.5 46.0 6.7 26.1 0.7 0.7 0.7 0.0 0.7 0.3 152.0 20:2:9:0:0:349,31:6:34:309:0:0,71:2:34:272:0:0,46:11:31:0:0:293,67:10:22:281:0:0,48:14:20:0:0:298 205 Maryland Southern 12/08/18 8 1.0 114.0 6 3‑5‑0
65 14971 GaCo South High 2 78.8 90.0 90.0 48.0 14.9 15.9 1.0 0.0 2.5 0.4 2.0 0.4 126.4 44:13:0:0:0:323,38:20:36:0:0:286,56:20:26:0:0:278,54:10:20:297:0:0,64:15:0:301:0:0 152 Maryland PG 01/26/2019 20 0.8 113.6 5 6‑5‑0
66 4081 The Droids 78.6 75.3 75.3 29.7 5.8 43.0 0.8 0.0 0.0 0.0 0.0 0.9 152.0 0:4:29:0:0:347,34:9:46:291:0:0,30:5:46:299:0:0,30:6:50:294:0:0,33:5:39:303:0:0 213 Maryland PG 01/26/2019 10 1.6 79.4 5 4‑1‑0
67 15308 AOE AI/Robotics Happy Team 77.0 77.6 78.1 18.1 11.6 47.2 0.4 0.0 2.3 1.5 0.8 0.7 121.8 16:12:46:306:0:0,17:6:50:307:0:0,18:15:31:0:0:317,14:15:48:0:0:303,29:12:48:291:0:0 145 Maryland Montgomery 2 01/20/2019 7 1.2 90.6 5 3‑4‑0
68 8582 Heavy Metal 74.0 64.3 58.6 29.1 4.3 40.7 1.0 0.0 0.0 0.0 0.0 0.9 128.0 26:3:32:0:0:320,37:5:45:294:0:0,20:6:0:354:0:0,30:3:45:302:0:0,25:8:50:297:0:0 170 Maryland Greater DC 12/09/18 7 1.6 59.4 5 6‑4‑0
69 10382 TEC Tigers 73.8 76.4 80.3 47.5 4.8 21.5 0.9 0.2 0.1 0.0 0.1 0.2 124.2 55:9:14:303:0:0,60:4:33:283:0:0,63:2:12:304:0:0,21:9:13:0:0:336,46:1:29:304:0:0,48:5:20:307:0:0 202 Maryland Annapolis 1 01/12/19 2 1.7 71.8 6 9‑2‑0
70 13405 GaCo North Middle 73.7 65.3 64.8 41.4 0.0 32.4 0.7 0.4 0.8 0.8 0.0 0.4 137.0 47:-0:29:303:0:0,39:-0:50:292:0:0,29:-0:0:0:0:351,39:-0:40:301:0:0,51:-0:25:304:0:0 227 Maryland Mountain Maryland 01/12/2019 2 1.6 75.4 5 8‑2‑0
71 14629 Alchemist’s Flask 73.4 71.5 71.5 35.5 3.0 34.9 1.0 0.1 0.0 0.0 0.0 0.8 150.4 34:2:29:0:0:314,53:2:33:0:0:291,20:5:12:0:0:344,41:3:44:291:0:0,29:3:41:0:0:307 239 Maryland PG 01/26/2019 27 0.4 133.4 5 1‑4‑0
72 15708 Jagged Prime 73.2 72.5 76.1 9.2 14.0 50.0 0.0 0.0 1.2 0.0 1.2 1.0 142.8 8:11:14:348:0:0,6:8:50:0:0:316,10:8:50:312:0:0,9:27:50:293:0:0,7:10:50:0:0:314 204 Maryland USRA Snow MakeUp 02/03/2019 8 1.2 95.0 5 3‑2‑0
73 10719 Termigators 72.8 78.5 80.8 42.7 4.7 25.4 0.9 0.4 0.0 0.0 0.0 0.5 155.4 35:2:25:0:0:319,26:7:21:327:0:0,52:7:29:292:0:0,62:5:10:0:0:304,46:6:34:295:0:0 284 Maryland Howard County 02/17/2019 17 1.2 82.0 5 3‑2‑0
74 4318 Green Machine Reloaded 72.7 67.3 70.9 26.8 5.4 40.5 0.7 0.0 0.0 0.0 0.0 0.6 121.2 27:4:22:0:0:326,25:6:34:0:0:314,33:7:46:294:0:0,34:6:50:0:0:291,27:4:47:303:0:0,0:6:32:0:0:341 195 Maryland Howard County 02/17/2019 21 0.7 101.0 6 2‑4‑0
75 7468 Blue Chariots of Fire 72.3 83.0 83.7 42.2 0.0 30.1 1.0 0.2 0.0 0.0 0.0 0.7 136.2 54:-0:0:326:0:0,37:-0:11:332:0:0,42:-0:19:0:0:319,38:-0:50:292:0:0,42:-0:50:288:0:0 204 Maryland Montgomery 2 01/20/2019 4 1.6 73.4 5 5‑3‑0
76 5225 RobotiXX 72.2 87.7 89.5 23.8 4.8 43.6 0.6 0.1 0.5 0.5 0.0 0.7 127.6 25:1:37:317:0:0,24:4:37:0:0:315,14:8:50:307:0:0,39:8:50:0:0:284,30:4:40:0:0:306 193 Maryland Montgomery 1 01/19/2019 15 0.8 115.0 5 2‑5‑0
77 3796 Talons 71.7 64.6 66.7 19.2 9.7 42.9 0.6 0.0 1.9 1.9 0.0 0.9 140.6 20:8:47:306:0:0,0:10:27:342:0:0,21:5:37:0:0:316,31:15:50:0:0:284,16:15:49:300:0:0 193 Maryland Montgomery 1 01/19/2019 11 1.2 94.6 5 3‑2‑0
78 9770 ASTRObots 71.3 68.9 76.5 18.4 3.0 50.0 0.6 0.0 0.8 0.8 0.0 0.8 135.2 12:4:28:335:0:0,23:3:50:303:0:0,12:3:50:315:0:0,12:0:50:318:0:0,30:1:50:299:0:0 168 Maryland Greater DC 12/09/18 2 2.0 83.2 5 6‑2‑0
79 4451 Iteration Infinity 70.7 56.7 57.1 25.8 9.3 35.6 0.8 0.0 1.6 1.4 0.2 0.8 137.0 25:5:23:328:0:0,13:9:35:0:0:323,16:17:45:303:0:0,31:8:26:0:0:315,31:9:47:0:0:292 176 Maryland Montgomery 1 01/19/2019 17 0.8 109.8 5 2‑3‑0
80 5178 Mech Hawks 70.6 81.5 79.7 32.4 4.9 33.3 1.0 0.0 0.0 0.0 0.0 0.6 136.4 34:2:24:0:0:320,38:4:37:0:0:301,32:8:40:299:0:0,39:4:24:0:0:313,28:8:44:0:0:300 188 Maryland Montgomery 1 01/19/2019 20 0.4 133.6 5 1‑4‑0
81 7988 hound bots II 70.6 68.2 69.5 35.6 10.8 24.1 0.9 0.0 0.6 0.0 0.6 0.4 108.4 36:13:34:297:0:0,19:10:0:0:0:351,59:7:9:305:0:0,32:17:44:287:0:0,34:6:15:0:0:325 187 Maryland Montgomery 2 01/20/2019 8 1.2 74.2 5 4‑4‑0
82 10025 HV4HR 70.5 73.5 74.6 24.4 6.8 39.4 0.5 0.3 0.6 0.0 0.6 0.6 139.8 34:8:29:309:0:0,13:3:34:330:0:0,33:8:29:310:0:0,12:8:50:310:0:0,29:7:50:0:0:294 176 Maryland Montgomery 1 01/19/2019 6 1.6 78.2 5 5‑3‑0
83 11886 Crossroads G.E.E.Ks 70.4 80.0 79.7 16.4 5.2 48.8 0.5 0.1 0.7 0.1 0.5 1.0 126.0 14:5:0:361:0:0,0:4:50:0:0:326,21:0:49:0:0:310,16:10:50:305:0:0,22:7:50:300:0:0 225 Maryland Mountain Maryland 01/12/2019 6 1.2 85.0 5 4‑4‑0
84 13100 47 Beavers 70.2 71.8 79.0 25.7 1.4 43.1 0.5 0.2 0.3 0.0 0.3 0.8 110.2 0:0:19:0:0:361,30:2:49:300:0:0,35:0:37:0:0:307,42:5:46:0:0:288,7:2:50:0:0:321 165 Maryland USRA Snow MakeUp 02/03/2019 20 0.4 110.2 5 1‑4‑0
85 8194 Digi-Gators 70.0 59.6 58.8 33.9 5.3 30.9 1.0 0.0 0.1 0.1 0.0 0.6 149.4 31:5:9:335:0:0,21:5:38:315:0:0,41:4:0:335:0:0,42:5:40:293:0:0,31:8:38:303:0:0 213 Maryland Montgomery 1 01/19/2019 2 2.0 111.0 5 7‑3‑0
86 14923 ACES 69.8 66.5 63.5 33.2 5.6 31.0 0.5 0.6 0.0 0.0 0.0 0.6 147.2 27:6:29:318:0:0,15:6:9:0:0:350,12:6:26:0:0:336,45:8:41:287:0:0,51:4:42:282:0:0 236 Maryland USRA Snow MakeUp 02/03/2019 11 1.2 82.6 5 7‑3‑0
87 12751 Big Boab 68.6 64.8 65.5 29.7 8.8 30.2 0.8 0.2 0.4 0.4 0.0 0.4 164.2 26:10:19:325:0:0,31:8:28:0:0:313,0:12:15:0:0:353,25:6:38:312:0:0,44:8:38:291:0:0 260 Maryland Howard County 02/17/2019 19 1.2 78.4 5 3‑2‑0
88 13680 ZipTiers 68.2 68.9 67.9 38.4 8.0 21.8 1.0 0.1 0.5 0.0 0.5 0.3 144.7 34:9:19:318:0:0,42:4:16:0:0:318,29:2:16:0:0:333,40:14:27:0:0:299,31:10:15:0:0:324,52:6:50:272:0:0 208 Maryland Howard County 02/17/2019 23 0.7 93.3 6 2‑4‑0
89 3886 Quake 67.8 69.8 69.8 33.9 4.3 29.6 0.8 0.3 0.6 0.6 0.0 0.5 123.8 30:1:27:322:0:0,24:5:50:300:0:0,36:3:0:0:0:341,29:5:48:0:0:299,46:4:0:330:0:0 179 Maryland PG 01/26/2019 15 1.2 87.6 5 3‑2‑0
90 7631 Make It Epic 67.7 63.2 62.5 35.8 3.3 28.5 1.0 0.1 0.0 0.0 0.0 0.6 134.6 51:4:21:304:0:0,42:3:36:298:0:0,33:3:29:315:0:0,28:2:10:0:0:341,22:3:36:318:0:0 208 Maryland Montgomery 1 01/19/2019 7 1.6 76.4 5 4‑1‑0
91 9530 Gunston Herons 67.4 69.7 68.4 45.8 6.4 15.2 0.6 0.8 0.7 0.7 0.0 0.4 149.0 61:3:0:316:0:0,22:6:26:326:0:0,64:6:23:287:0:0,45:8:12:315:0:0,33:4:15:0:0:327 237 Maryland USRA Snow MakeUp 02/03/2019 4 1.6 90.8 5 4‑3‑0
92 8395 The A-Team 67.1 73.1 74.2 39.0 4.7 23.4 0.9 0.2 1.5 0.0 1.5 0.2 134.2 34:3:18:0:0:324,59:8:35:278:0:0,45:8:28:299:0:0,35:10:15:0:0:321,31:0:19:331:0:0 225 Maryland Greater DC 12/09/18 11 1.2 73.4 5 4‑4‑0
93 5014 No Jons 66.9 55.3 55.8 25.1 6.4 35.4 0.5 0.3 1.3 0.2 1.1 0.8 138.0 26:2:26:0:0:326,0:0:43:0:0:337,0:7:23:351:0:0,34:9:41:295:0:0,42:9:43:286:0:0 242 Maryland Montgomery 1 01/19/2019 13 1.2 75.0 5 5‑5‑0
94 4991 Gear Freaks 66.7 69.5 68.4 34.5 17.2 15.0 1.0 0.1 2.6 0.2 2.4 0.3 129.2 35:5:13:327:0:0,17:16:15:0:0:332,39:10:13:0:0:319,53:33:13:281:0:0,38:25:29:288:0:0 165 Maryland Montgomery 1 01/19/2019 10 1.2 109.8 5 7‑2‑0
95 15308 AOE AI/Robotics Happy Team 65.9 61.8 57.1 21.5 19.6 24.9 0.3 0.4 2.9 1.9 1.0 0.5 146.2 14:2:0:0:0:364,12:20:25:324:0:0,31:18:33:298:0:0,20:36:32:292:0:0,22:20:19:0:0:320 286 Maryland Howard County 02/17/2019 16 1.2 101.2 5 3‑2‑0
96 7631 Make It Epic 65.8 70.6 72.5 42.1 1.0 22.7 0.8 0.4 0.0 0.0 0.0 0.2 113.0 40:2:14:324:0:0,57:0:33:0:0:290,59:1:12:0:0:309,26:0:10:0:0:344,35:2:36:307:0:0 170 Maryland Greater DC 12/09/18 15 0.8 75.2 5 2‑3‑0
97 6284 RoboCavs Black 65.4 61.0 61.0 60.8 2.9 1.7 0.6 1.0 0.0 0.0 0.0 0.0 122.3 51:0:0:329:0:0,64:2:2:0:0:312,34:3:0:0:0:343,70:2:0:308:0:0,58:19:2:0:0:302,83:2:5:291:0:0 208 Maryland Howard County 02/17/2019 15 1.0 89.5 6 3‑3‑0
98 14689 DM Robotics 64.7 61.2 68.4 8.7 10.9 45.1 0.2 0.0 1.4 1.4 0.0 0.8 105.6 13:7:13:0:0:347,10:12:50:307:0:0,3:12:39:0:0:326,8:17:50:305:0:0,7:6:50:0:0:317 154 Maryland USRA Snow MakeUp 02/03/2019 14 0.8 104.2 5 2‑3‑0
99 12873 S.T.E.A.M. Powered 64.3 57.4 59.0 32.0 12.9 19.4 1.0 0.0 0.5 0.0 0.5 0.4 138.8 29:11:6:334:0:0,17:7:16:340:0:0,34:13:29:304:0:0,39:13:28:300:0:0,32:18:0:330:0:0 207 Maryland Montgomery 1 01/19/2019 3 2.0 73.2 5 6‑2‑0
100 11886 Crossroads G.E.E.Ks 64.0 72.3 74.4 36.0 0.7 27.2 1.0 0.2 0.0 0.0 0.0 0.5 99.8 38:1:13:0:0:328,38:1:0:0:0:342,23:1:38:317:0:0,24:1:31:0:0:325,75:0:48:256:0:0 154 Maryland Montgomery 2 01/20/2019 16 0.8 61.6 5 6‑3‑0
101 7 TechBrick FTC 7 63.7 84.4 84.5 40.5 8.7 14.6 1.0 0.1 1.2 0.2 1.1 0.3 118.6 63:2:13:301:0:0,40:2:6:333:0:0,56:6:20:298:0:0,39:37:12:0:0:293,37:12:27:0:0:305 146 Maryland Mountain Maryland 01/12/2019 8 1.2 74.0 5 3‑2‑0
102 15561 Exponential 62.4 64.4 64.4 52.6 8.8 1.0 1.0 0.5 1.5 1.1 0.4 0.0 146.8 45:7:0:328:0:0,54:9:1:316:0:0,58:9:1:311:0:0,51:6:0:0:0:323,57:19:2:302:0:0 214 Maryland PG 01/26/2019 7 1.6 95.2 5 4‑1‑0
103 8582 Heavy Metal 62.4 59.3 64.5 30.3 5.8 26.2 1.0 0.0 0.6 0.3 0.3 0.5 109.5 0:3:0:0:0:377,19:2:0:0:0:359,26:4:35:315:0:0,45:7:29:298:0:0,29:1:36:314:0:0,41:12:39:288:0:0 239 Maryland Annapolis 1 01/12/19 8 1.3 41.5 6 7‑4‑0
104 10001 RoboCavs Silver 62.3 67.7 66.0 17.6 0.9 43.8 0.1 0.3 0.0 0.0 0.0 0.9 114.6 21:0:46:313:0:0,14:0:41:0:0:325,11:1:40:0:0:328,27:2:37:314:0:0,14:1:50:314:0:0 165 Maryland Montgomery 1 01/19/2019 12 1.2 85.6 5 3‑2‑0
105 9445 Loading... 62.0 45.2 46.8 10.7 8.8 42.5 0.2 0.0 1.4 0.1 1.4 0.8 102.4 17:3:37:324:0:0,0:6:47:0:0:327,0:14:50:316:0:0,20:16:50:294:0:0,3:10:30:337:0:0 135 Maryland Mountain Maryland 01/12/2019 4 1.6 69.8 5 6‑3‑0
106 14629 Alchemist’s Flask 61.8 65.5 64.8 28.5 9.7 23.6 0.6 0.1 1.0 0.2 0.8 0.4 131.5 16:10:0:354:0:0,24:4:38:0:0:313,44:4:31:302:0:0,18:21:50:291:0:0,33:0:0:0:0:347,30:15:21:314:0:0 186 Maryland Southern 12/08/18 6 1.3 101.2 6 6‑4‑0
107 10025 HV4HR 61.7 58.4 58.4 27.4 9.9 24.5 0.8 0.1 1.2 1.2 0.0 0.4 132.4 26:8:21:0:0:326,41:8:20:0:0:311,10:15:18:0:0:337,31:6:30:312:0:0,40:8:40:0:0:292 156 Maryland PG 01/26/2019 28 0.4 131.6 5 1‑4‑0
108 9957 Robocraft 61.2 44.9 47.1 36.8 20.7 3.7 0.0 0.8 4.4 2.8 1.6 0.0 123.0 32:15:1:331:0:0,32:24:8:316:0:0,10:22:5:0:0:343,55:25:3:0:0:296,47:19:4:310:0:0 171 Maryland USRA Snow MakeUp 02/03/2019 10 1.2 86.0 5 3‑2‑0
109 13389 Mallard Robotics 61.2 65.8 64.8 20.6 1.9 38.7 0.5 0.0 0.0 0.0 0.0 0.5 102.2 31:1:38:310:0:0,0:4:48:0:0:328,19:3:25:0:0:333,32:8:49:292:0:0,25:1:40:0:0:313,34:0:32:0:0:313 143 Maryland Annapolis 1 01/12/19 15 0.7 76.0 6 2‑4‑0
110 3796 Talons 60.2 64.5 72.6 0.0 10.2 50.0 0.0 0.0 1.4 0.6 0.8 1.0 110.6 -0:16:50:314:0:0,-0:9:43:328:0:0,-0:0:50:330:0:0,-0:7:50:323:0:0,-0:11:50:0:0:319 151 Maryland Greater DC 12/09/18 3 1.6 80.8 5 5‑3‑0
111 6417 Blu Cru 57.8 71.3 72.3 31.9 3.1 22.8 1.0 0.0 0.0 0.0 0.0 0.5 97.4 25:5:0:351:0:0,32:1:35:313:0:0,27:3:0:0:0:350,34:0:11:335:0:0,56:8:50:266:0:0 213 Maryland Montgomery 2 01/20/2019 6 1.6 39.8 5 5‑3‑0
112 12118 GaCo North High 57.7 47.0 45.6 22.1 27.9 7.7 0.5 0.2 5.0 0.0 5.0 0.1 116.6 28:19:7:0:0:326,12:9:10:349:0:0,0:27:0:0:0:353,23:39:8:0:0:310,29:34:7:311:0:0 277 Maryland Mountain Maryland 01/12/2019 10 0.8 75.4 5 2‑3‑0
113 5014 No Jons 56.9 54.7 80.0 28.9 0.8 27.3 0.9 0.1 0.0 0.0 0.0 0.5 98.6 20:0:50:310:0:0,31:0:0:0:0:348,27:1:12:340:0:0,30:1:35:314:0:0,36:1:16:326:0:0 165 Maryland Greater DC 12/09/18 4 1.6 80.2 5 4‑3‑0
114 7266 Dragonettes 56.8 44.9 46.9 7.2 14.6 35.0 0.0 0.0 2.1 2.1 0.0 0.6 117.6 0:14:12:0:0:354,4:20:29:326:0:0,8:11:25:0:0:336,8:14:41:0:0:317,7:15:50:0:0:308 205 Maryland Howard County 02/17/2019 30 0.4 96.2 5 1‑4‑0
115 15664 St. Paul's School Upper School 56.5 50.6 52.0 7.6 8.0 40.9 0.0 0.1 0.1 0.1 0.0 0.7 111.4 6:9:34:331:0:0,8:5:49:0:0:318,11:8:48:314:0:0,7:6:47:0:0:321,0:10:33:0:0:338 174 Maryland Howard County 02/17/2019 25 0.8 99.4 5 2‑3‑0
116 12134 GaCo South High 56.3 73.8 76.4 22.3 4.7 29.3 0.4 0.3 1.0 1.0 0.0 0.5 111.0 18:10:27:0:0:325,13:1:40:326:0:0,26:7:10:0:0:337,58:4:50:268:0:0,7:6:20:347:0:0 189 Maryland Mountain Maryland 01/12/2019 7 1.2 84.4 5 3‑2‑0
117 13975 Extreme STEAM 56.0 49.9 56.6 39.2 5.1 11.7 0.9 0.4 0.1 0.1 0.0 0.3 116.6 65:2:21:0:0:292,47:4:13:0:0:316,33:5:9:0:0:332,16:7:11:0:0:346,43:6:7:325:0:0 143 Maryland Montgomery 1 01/19/2019 21 0.4 109.8 5 1‑4‑0
118 3583 Cybirds 55.3 62.4 59.8 33.7 9.3 12.3 0.8 0.0 1.2 0.0 1.2 0.3 101.0 32:0:0:0:0:348,33:12:39:297:0:0,14:11:21:0:0:334,45:19:0:0:0:316,41:4:11:0:0:324 145 Maryland Montgomery 1 01/19/2019 22 0.4 100.6 5 1‑4‑0
119 12773 Flamangos 54.7 55.7 55.7 31.0 6.2 17.5 0.7 0.3 0.2 0.1 0.1 0.2 121.8 46:6:13:315:0:0,47:4:17:0:0:313,7:6:9:0:0:359,19:4:41:316:0:0,26:8:17:0:0:329 174 Maryland PG 01/26/2019 21 0.8 103.8 5 2‑3‑0
120 13813 Sandy Spring Friends School Robotics 54.4 60.5 70.1 16.4 12.1 25.9 0.1 0.2 1.9 1.0 0.9 0.4 125.8 14:0:0:366:0:0,13:10:24:333:0:0,19:8:47:306:0:0,15:22:33:310:0:0,26:11:22:321:0:0 177 Maryland Howard County 02/17/2019 2 2.0 98.8 5 5‑2‑0
121 14253 Parkland FTC 53.7 53.1 53.4 30.2 2.7 20.8 1.0 0.0 0.0 0.0 0.0 0.4 111.4 28:0:0:0:0:352,33:4:15:328:0:0,27:3:21:329:0:0,39:2:38:301:0:0,28:8:30:0:0:315 137 Maryland Montgomery 1 01/19/2019 14 1.2 74.8 5 3‑2‑0
122 607 Dragon Slayers 53.3 58.3 58.3 39.8 2.3 11.3 0.8 0.0 0.3 0.3 0.0 0.4 106.8 12:0:0:0:0:368,50:2:17:311:0:0,34:2:15:329:0:0,54:2:0:324:0:0,46:3:11:320:0:0,48:3:21:0:0:308 167 Maryland Annapolis 1 01/12/19 5 1.3 73.8 6 4‑4‑0
123 9866 VIRUS 52.7 59.5 59.5 7.9 34.7 10.2 0.1 0.0 6.5 4.8 1.7 0.3 128.8 9:28:0:0:0:343,6:44:26:305:0:0,4:34:0:0:0:343,5:33:0:0:0:342,10:38:19:313:0:0 261 Maryland PG 01/26/2019 24 0.8 83.4 5 2‑3‑0
124 9452 WCHS Bulldogs 51.9 59.7 57.3 16.3 5.9 29.8 0.4 0.0 0.3 0.0 0.3 0.2 107.2 12:8:21:0:0:338,6:11:15:0:0:348,11:5:42:323:0:0,25:7:27:0:0:322,21:4:32:0:0:324 158 Maryland USRA Snow MakeUp 02/03/2019 21 0.4 101.4 5 1‑4‑0
125 13975 Extreme STEAM 51.5 55.8 54.8 39.3 3.5 8.6 0.4 0.7 0.0 0.0 0.0 0.0 89.4 0:2:0:0:0:378,52:3:8:317:0:0,37:7:13:323:0:0,52:8:8:0:0:312,50:2:15:0:0:313 118 Maryland Mountain Maryland 01/12/2019 13 0.8 65.2 5 2‑3‑0
126 9957 Robocraft 51.4 55.1 55.1 20.5 15.5 15.3 0.0 0.4 2.8 1.9 0.9 0.0 109.2 25:18:15:322:0:0,20:13:5:0:0:341,10:18:25:0:0:328,16:16:15:333:0:0,30:13:25:0:0:312 156 Maryland PG 01/26/2019 23 0.8 84.4 5 2‑3‑0
127 607 Dragon Slayers 51.2 37.3 40.5 21.8 10.0 19.4 0.7 0.0 1.3 1.3 0.0 0.4 111.2 10:2:6:0:0:362,12:5:0:0:0:363,23:20:28:309:0:0,28:7:20:0:0:325,31:4:17:0:0:328,21:6:30:0:0:323 268 Maryland Southern 12/08/18 14 0.3 89.8 6 1‑5‑0
128 15312 FORTNITE Detox Club 50.8 49.4 48.1 32.4 0.0 18.5 1.0 0.0 0.2 0.2 0.0 0.2 128.2 31:-0:5:0:0:344,15:-0:6:0:0:360,35:-0:27:318:0:0,53:-0:19:0:0:308,37:-0:31:313:0:0 187 Maryland USRA Snow MakeUp 02/03/2019 16 0.8 91.2 5 2‑5‑0
129 8479 RoboCavs Gold 50.3 49.5 52.0 28.2 18.5 3.7 0.7 0.2 3.7 0.5 3.2 0.0 113.6 34:0:4:342:0:0,27:23:11:318:0:0,34:16:0:330:0:0,13:22:6:339:0:0,28:25:0:327:0:0 145 Maryland Montgomery 1 01/19/2019 4 2.0 71.6 5 9‑0‑0
130 15627 TCHS Mountain Lions 50.3 48.8 49.1 21.4 6.4 22.5 0.4 0.0 0.2 0.0 0.2 0.2 101.6 33:5:20:322:0:0,28:5:22:325:0:0,29:5:30:316:0:0,7:8:31:335:0:0,0:12:0:0:0:368 146 Maryland Mountain Maryland 01/12/2019 5 1.6 56.8 5 4‑3‑0
131 2843 Under The Son 49.7 45.4 44.8 1.9 18.7 29.1 0.0 0.0 3.7 3.1 0.6 0.2 106.3 2:25:19:0:0:334,0:20:20:340:0:0,0:17:44:0:0:319,2:14:30:0:0:334,2:12:28:338:0:0,2:24:34:0:0:321 155 Maryland Southern 12/08/18 11 0.7 91.3 6 2‑4‑0
132 10382 TEC Tigers 48.8 50.9 53.7 6.7 3.6 38.6 0.1 0.0 0.3 0.1 0.3 0.8 118.0 0:4:0:0:0:376,6:2:50:0:0:323,10:4:50:0:0:316,5:3:50:322:0:0,9:2:33:0:0:336,7:7:30:0:0:336 190 Maryland Southern 12/08/18 12 0.3 109.8 6 1‑5‑0
133 10338 Dark Matters 48.5 56.3 55.1 34.6 5.3 8.5 0.7 0.4 0.3 0.3 0.0 0.1 116.7 28:7:6:0:0:339,18:3:0:0:0:359,32:15:22:0:0:312,28:4:10:0:0:338,60:4:11:0:0:305,50:7:5:317:0:0 167 Maryland Southern 12/08/18 13 0.3 109.8 6 1‑5‑0
134 12773 Flamangos 48.3 34.4 34.5 31.3 0.0 17.0 0.8 0.1 0.0 0.0 0.0 0.3 121.0 23:-0:0:357:0:0,16:-0:5:0:0:360,28:-0:43:0:0:308,35:-0:33:312:0:0,42:-0:25:313:0:0,37:-0:0:0:0:343 230 Maryland Southern 12/08/18 9 1.0 104.5 6 3‑3‑0
135 12063 The Mandelbots 48.0 49.5 45.0 25.7 1.1 21.2 0.8 0.0 0.0 0.0 0.0 0.4 133.8 28:1:30:321:0:0,9:2:19:0:0:350,23:4:16:0:0:337,22:2:32:324:0:0,37:0:5:0:0:338 264 Maryland USRA Snow MakeUp 02/03/2019 17 0.8 87.6 5 2‑3‑0
136 4451 Iteration Infinity 47.7 47.5 45.9 15.1 7.9 24.7 0.2 0.0 1.1 0.4 0.6 0.3 91.4 10:4:48:319:0:0,22:9:25:323:0:0,21:4:13:0:0:341,13:12:11:345:0:0,7:7:22:345:0:0 134 Maryland Greater DC 12/09/18 5 1.6 77.4 5 4‑3‑0
137 10452 GaCo South Middle 47.5 46.9 47.3 29.9 6.3 11.3 0.7 0.2 1.2 0.6 0.6 0.0 82.6 47:5:10:318:0:0,40:0:9:0:0:331,28:13:17:322:0:0,35:11:16:0:0:318,0:0:0:0:0:380 120 Maryland Mountain Maryland 01/12/2019 12 0.8 66.4 5 2‑3‑0
138 7540 Bullis Blue 47.2 39.6 45.7 47.2 0.0 0.0 0.8 0.1 0.0 0.0 0.0 0.0 125.0 31:-0:0:0:0:349,64:-0:0:316:0:0,53:-0:0:327:0:0,31:-0:0:0:0:349,43:-0:0:0:0:337 222 Maryland Howard County 02/17/2019 26 0.8 79.6 5 2‑3‑0
139 9667 Bullis Gold 46.4 32.0 36.0 15.8 2.5 28.1 0.0 0.2 0.0 0.0 0.0 0.5 103.6 0:1:0:0:0:379,13:6:41:320:0:0,16:8:20:0:0:336,31:1:41:0:0:307,20:8:45:0:0:307 169 Maryland Howard County 02/17/2019 35 0.4 74.8 5 1‑4‑0
140 12518 Almond Robotics 46.4 48.2 51.6 28.4 7.7 10.2 0.5 0.4 1.2 0.7 0.5 0.2 120.8 29:16:17:318:0:0,28:1:15:335:0:0,19:0:0:361:0:0,37:10:8:324:0:0,32:5:0:0:0:342 227 Maryland Montgomery 2 01/20/2019 5 1.6 71.0 5 6‑4‑0
141 5398 Robotux 46.4 39.4 40.8 20.3 5.3 20.8 0.6 0.1 1.0 1.0 0.0 0.4 125.7 0:6:0:0:0:374,28:5:19:327:0:0,0:5:31:0:0:344,12:12:47:309:0:0,22:7:19:332:0:0,28:2:15:335:0:0 174 Maryland Southern 12/08/18 5 1.3 110.3 6 4‑4‑0
142 10833 Robo-Scorps 45.9 51.6 53.0 28.0 2.3 15.6 0.8 0.1 0.0 0.0 0.0 0.2 84.8 32:1:0:0:0:346,30:2:17:0:0:331,24:11:21:0:0:323,15:1:7:0:0:358,52:3:34:0:0:292 142 Maryland Greater DC 12/09/18 25 0.0 76.6 5 0‑5‑0
143 7540 Bullis Blue 45.7 43.4 42.2 16.7 2.5 26.5 0.1 0.5 0.0 0.0 0.0 0.1 84.4 17:5:12:0:0:346,0:4:50:0:0:326,23:0:37:0:0:320,0:4:11:0:0:365,26:3:27:324:0:0 145 Maryland Montgomery 2 01/20/2019 19 0.4 79.6 5 1‑4‑0
144 4218 Late() Knights 45.4 53.0 54.7 8.9 7.0 29.4 0.2 0.0 0.4 0.4 0.0 0.4 109.0 7:8:0:365:0:0,0:7:20:353:0:0,8:10:37:0:0:326,9:11:34:0:0:325,15:5:39:0:0:321,9:4:45:0:0:322 158 Maryland Southern 12/08/18 10 0.7 99.5 6 2‑4‑0
145 6406 First Tech Coyotes 44.6 35.2 36.0 9.6 5.1 29.9 0.1 0.1 0.7 0.0 0.7 0.2 97.6 0:0:30:0:0:350,18:6:31:324:0:0,6:6:15:354:0:0,6:3:34:0:0:336,12:1:34:0:0:332 231 Maryland Montgomery 2 01/20/2019 15 0.8 63.2 5 2‑3‑0
146 9452 WCHS Bulldogs 43.2 47.1 46.8 22.0 4.2 17.0 0.5 0.1 0.0 0.0 0.0 0.3 91.4 0:2:0:0:0:378,0:1:0:0:0:379,36:3:6:335:0:0,16:6:17:0:0:341,39:10:43:288:0:0 213 Maryland Montgomery 2 01/20/2019 17 0.8 53.6 5 2‑3‑0
147 14185 R.I.C.E (Responsibly Intelligent Creative Engineers) 42.0 42.0 41.7 20.0 8.5 13.5 0.0 0.5 0.7 0.0 0.7 0.0 91.7 23:11:12:334:0:0,25:2:16:0:0:337,17:17:13:0:0:333,10:17:15:0:0:339,8:4:12:0:0:357,23:5:11:0:0:341 151 Maryland Annapolis 1 01/12/19 22 0.3 71.5 6 1‑5‑0
148 13100 47 Beavers 41.2 51.9 52.5 40.5 0.0 0.7 0.8 0.1 0.0 0.0 0.0 0.0 102.8 51:-0:0:329:0:0,21:-0:0:0:0:359,24:-0:0:355:0:0,52:-0:2:326:0:0,55:-0:3:0:0:322 187 Maryland Montgomery 2 01/20/2019 9 1.2 51.2 5 3‑4‑0
149 10145 The Hive 41.2 40.0 40.0 7.0 2.2 32.0 0.0 0.1 0.3 0.1 0.2 0.3 111.2 0:2:21:0:0:357,9:1:32:0:0:339,9:2:15:0:0:354,7:3:38:0:0:332,8:5:50:317:0:0 165 Maryland PG 01/26/2019 29 0.4 110.6 5 1‑4‑0
150 14315 Fatal Error 41.0 48.4 47.7 10.1 3.9 27.0 0.0 0.0 0.0 0.0 0.0 0.4 82.2 19:5:15:0:0:341,0:1:13:366:0:0,10:1:46:0:0:323,10:2:39:329:0:0,8:5:0:0:0:368,16:16:50:298:0:0 176 Maryland Annapolis 1 01/12/19 10 1.0 63.8 6 3‑5‑0
151 14689 DM Robotics 40.1 36.4 23.3 22.0 6.2 11.9 0.0 0.5 0.4 0.3 0.2 0.0 95.2 13:5:27:0:0:335,24:4:0:0:0:353,15:6:18:341:0:0,14:2:5:0:0:359,27:9:15:329:0:0 209 Maryland Greater DC 12/09/18 13 0.8 77.2 5 2‑3‑0
152 14062 MoCo Machines 40.0 43.9 45.5 27.5 6.0 6.5 0.4 0.2 1.1 1.1 0.0 0.1 126.8 37:6:8:329:0:0,27:2:6:0:0:345,16:5:0:0:0:359,35:7:0:338:0:0,36:11:13:320:0:0 195 Maryland Howard County 02/17/2019 18 1.2 80.8 5 3‑2‑0
153 3113 Some Disassembly Required 40.0 41.2 51.3 28.2 0.0 11.8 0.6 0.2 0.0 0.0 0.0 0.3 114.6 29:-0:19:0:0:332,38:-0:17:0:0:325,20:-0:0:360:0:0,18:-0:12:349:0:0,33:-0:11:336:0:0 161 Maryland Greater DC 12/09/18 10 1.2 91.0 5 7‑2‑0
154 15269 Botty Bois 39.9 50.7 51.7 21.0 0.0 18.9 0.2 0.4 0.0 0.0 0.0 0.0 92.2 27:-0:18:0:0:335,0:-0:24:0:0:356,28:-0:11:341:0:0,28:-0:17:0:0:335,7:-0:27:0:0:346 130 Maryland Mountain Maryland 01/12/2019 18 0.4 71.6 5 1‑4‑0
155 7518 Quince Orchard CouGears 38.5 53.9 54.4 21.4 2.2 14.9 0.1 0.6 0.0 0.0 0.0 0.1 90.2 29:1:0:350:0:0,18:3:32:327:0:0,30:0:13:0:0:338,34:3:50:0:0:293,0:4:8:0:0:369 117 Maryland USRA Snow MakeUp 02/03/2019 18 0.8 69.2 5 2‑3‑0
156 12342 Pallotti Robotics 38.1 27.7 26.8 10.2 9.1 18.9 0.0 0.1 0.1 0.0 0.1 0.2 94.0 9:9:19:343:0:0,11:6:9:0:0:354,7:13:27:334:0:0,20:9:10:0:0:341,4:9:23:344:0:0 150 Maryland Montgomery 2 01/20/2019 10 1.2 47.0 5 3‑2‑0
157 12873 S.T.E.A.M. Powered 38.1 19.9 21.0 19.8 0.0 18.3 0.6 0.0 0.0 0.0 0.0 0.4 104.6 21:-0:27:332:0:0,0:-0:0:0:0:380,20:-0:15:0:0:345,20:-0:23:0:0:337,23:-0:33:0:0:324 193 Maryland Howard County 02/17/2019 32 0.4 82.0 5 1‑4‑0
158 11648 The Body Electric 38.1 36.9 36.3 16.0 7.3 14.7 0.5 0.0 0.0 0.0 0.0 0.1 82.0 11:5:9:0:0:356,16:6:13:0:0:345,0:14:15:0:0:351,21:6:27:326:0:0,17:8:8:346:0:0 133 Maryland Montgomery 1 01/19/2019 19 0.8 52.8 5 2‑3‑0
159 13443 Fredrick Douglass HS 38.0 37.7 39.6 6.3 10.5 21.2 0.1 0.1 1.4 0.4 1.1 0.2 108.5 8:18:26:327:0:0,0:3:0:0:0:377,8:10:25:337:0:0,6:8:27:0:0:339,2:4:18:0:0:355,11:2:18:0:0:350 185 Maryland Annapolis 1 01/12/19 16 0.7 75.5 6 2‑4‑0
160 10452 GaCo South Middle 38.0 29.9 29.9 27.2 4.3 6.5 0.7 0.3 0.2 0.0 0.2 0.0 103.4 24:3:2:0:0:351,22:6:14:0:0:338,29:3:0:0:0:348,31:3:10:0:0:336,22:8:10:0:0:340 154 Maryland PG 01/26/2019 33 0.0 103.4 5 0‑5‑0
161 13270 McDonogh Robotics 36.4 36.7 42.7 6.5 4.1 25.9 0.0 0.0 0.3 0.3 0.0 0.2 86.8 9:4:29:0:0:338,3:4:25:347:0:0,0:2:9:0:0:369,4:4:15:0:0:357,9:7:50:314:0:0 144 Maryland Howard County 02/17/2019 27 0.8 73.8 5 2‑3‑0
162 13381 The G.E.A.R.s 34.8 33.2 32.3 33.6 0.0 1.2 0.9 0.0 0.0 0.0 0.0 0.1 96.0 37:-0:0:0:0:343,19:-0:0:361:0:0,26:-0:0:0:0:354,53:-0:1:326:0:0,14:-0:0:366:0:0,50:-0:3:327:0:0 235 Maryland Annapolis 1 01/12/19 6 1.3 64.0 6 4‑4‑0
163 10145 The Hive 34.5 26.8 26.1 23.7 2.6 8.2 0.8 0.0 0.8 0.8 0.0 0.0 92.2 21:5:0:0:0:354,25:4:11:341:0:0,20:1:0:0:0:360,26:0:4:350:0:0,21:2:11:346:0:0 162 Maryland Montgomery 2 01/20/2019 11 1.2 42.6 5 3‑2‑0
164 14923 ACES 34.0 36.8 37.1 14.1 9.4 10.6 0.0 0.2 0.7 0.5 0.2 0.0 64.2 7:10:13:350:0:0,29:4:16:332:0:0,10:11:11:0:0:348,12:14:4:349:0:0,6:6:15:0:0:354 101 Maryland Greater DC 12/09/18 12 1.2 53.0 5 3‑2‑0
165 8993 Wing Makers - Circle of Wizards 33.8 41.0 48.7 15.4 0.0 18.5 0.1 0.4 0.0 0.0 0.0 0.1 98.4 14:0:13:352:0:0,15:0:16:0:0:350,11:0:14:0:0:355,39:0:30:0:0:311,20:0:30:0:0:331 123 Maryland Howard County 02/17/2019 29 0.4 98.4 5 1‑4‑0
166 12161 Golden Gators 32.7 35.0 36.6 4.6 11.9 16.3 0.0 0.2 1.3 0.7 0.6 0.3 91.6 0:3:0:0:0:377,3:12:12:0:0:352,0:13:8:0:0:359,9:5:24:0:0:342,5:22:26:326:0:0 181 Maryland Howard County 02/17/2019 34 0.4 79.8 5 1‑4‑0
167 2897 Bearly Awake 32.6 27.1 27.1 7.8 1.6 23.2 0.1 0.0 0.3 0.0 0.3 0.1 81.6 9:0:28:344:0:0,0:6:17:357:0:0,9:2:39:0:0:330,5:2:0:0:0:373,6:1:28:346:0:0 152 Maryland PG 01/26/2019 16 1.2 70.6 5 3‑2‑0
168 6549 Whoa!Bots 32.4 25.9 25.4 8.4 7.5 16.5 0.1 0.0 0.1 0.1 0.0 0.0 60.2 0:0:13:0:0:367,16:2:0:0:0:362,0:8:17:0:0:354,10:12:24:0:0:334,3:14:23:0:0:340 108 Maryland Mountain Maryland 01/12/2019 19 0.0 60.2 5 0‑5‑0
169 14315 Fatal Error 32.1 29.8 30.9 17.8 4.8 9.6 0.0 0.5 0.1 0.1 0.1 0.0 82.2 18:4:9:349:0:0,36:2:14:327:0:0,0:8:5:0:0:367,20:9:12:339:0:0,8:4:8:359:0:0 122 Maryland Greater DC 12/09/18 9 1.6 49.4 5 6‑4‑0
170 13381 The G.E.A.R.s 30.9 27.8 27.2 5.7 1.4 23.8 0.2 0.0 0.0 0.0 0.0 0.4 91.8 0:1:16:0:0:363,8:2:25:346:0:0,7:1:14:0:0:358,9:2:22:348:0:0,0:1:32:0:0:346 158 Maryland Greater DC 12/09/18 16 0.8 59.6 5 2‑3‑0
171 14253 Parkland FTC 30.9 26.9 23.3 0.0 0.0 30.9 0.0 0.0 0.0 0.0 0.0 0.7 55.6 -0:-0:39:0:0:341,-0:-0:33:0:0:347,-0:-0:47:333:0:0,-0:-0:0:0:0:380,-0:-0:32:0:0:348 86 Maryland Greater DC 12/09/18 23 0.4 51.0 5 1‑4‑0
172 9770 ASTRObots 30.8 25.8 25.1 9.9 2.7 18.3 0.3 0.0 0.0 0.0 0.0 0.4 80.2 0:0:22:0:0:358,16:8:23:334:0:0,4:4:27:346:0:0,15:3:21:342:0:0,7:3:0:0:0:369,12:1:14:0:0:353 159 Maryland Annapolis 1 01/12/19 13 1.0 41.2 6 3‑3‑0
173 7266 Dragonettes 30.6 32.4 32.3 0.9 6.0 23.7 0.0 0.0 0.7 0.5 0.1 0.1 63.8 0:0:28:0:0:352,0:1:12:367:0:0,1:5:0:374:0:0,0:12:25:0:0:342,1:7:50:321:0:0,1:6:40:0:0:333 105 Maryland Annapolis 1 01/12/19 12 1.0 53.2 6 3‑3‑0
174 3113 Some Disassembly Required 30.0 27.6 27.6 18.9 0.8 10.3 0.6 0.0 0.6 0.6 0.0 0.0 104.6 19:0:9:352:0:0,21:0:12:346:0:0,10:1:3:0:0:365,11:1:24:344:0:0,25:1:10:344:0:0 182 Maryland PG 01/26/2019 8 1.6 87.0 5 4‑3‑0
175 13766 The Omegas (4-H FTC) 29.9 40.2 39.7 17.8 7.5 4.6 0.1 0.0 0.3 0.1 0.2 0.0 90.6 18:6:3:0:0:354,15:6:0:0:0:359,16:11:5:0:0:348,20:6:0:354:0:0,18:7:9:0:0:346 128 Maryland Howard County 02/17/2019 33 0.4 81.8 5 1‑4‑0
176 12161 Golden Gators 29.8 29.3 31.5 1.8 3.0 25.1 0.0 0.0 0.0 0.0 0.0 0.2 64.6 0:0:15:0:0:365,1:0:24:0:0:355,1:3:44:0:0:332,0:2:10:0:0:368,2:8:35:0:0:334 111 Maryland Montgomery 1 01/19/2019 26 0.0 64.6 5 0‑5‑0
177 9866 VIRUS 29.8 34.2 31.8 7.2 8.4 14.1 0.0 0.1 0.1 0.1 0.0 0.0 67.0 0:6:9:0:0:365,0:5:16:0:0:359,5:10:14:0:0:351,8:8:9:0:0:354,9:13:9:350:0:0,13:9:31:0:0:326 142 Maryland Greater DC 12/09/18 21 0.3 61.7 6 1‑5‑0
178 14062 MoCo Machines 29.2 11.6 14.8 3.6 14.0 11.6 0.1 0.0 2.3 1.9 0.5 0.1 93.6 4:17:16:343:0:0,3:5:4:368:0:0,3:14:0:0:0:363,2:16:12:0:0:350,5:11:47:0:0:317 121 Maryland Montgomery 2 01/20/2019 13 0.8 77.0 5 4‑6‑0
179 15561 Exponential 29.1 24.1 22.8 4.4 0.0 24.7 0.0 0.0 0.0 0.0 0.0 0.2 72.8 0:-0:16:0:0:364,4:-0:50:0:0:326,10:-0:25:345:0:0,4:-0:19:0:0:356,7:-0:11:0:0:362 123 Maryland Greater DC 12/09/18 22 0.4 60.4 5 1‑4‑0
180 12342 Pallotti Robotics 28.5 21.0 21.0 23.6 4.9 0.0 0.1 0.5 0.0 0.0 0.0 0.0 88.0 21:8:-0:0:0:351,13:8:-0:0:0:359,33:3:-0:344:0:0,27:5:-0:0:0:348,25:4:-0:0:0:352 140 Maryland PG 01/26/2019 30 0.4 75.2 5 1‑4‑0
181 5225 RobotiXX 28.4 17.2 16.4 7.0 0.0 21.3 0.2 0.0 0.0 0.0 0.0 0.1 67.2 3:-0:27:350:0:0,0:-0:24:0:0:356,6:-0:29:0:0:345,16:-0:36:328:0:0,4:-0:0:0:0:376 101 Maryland Greater DC 12/09/18 18 0.8 49.0 5 2‑3‑0
182 15008 The Eclipse 28.3 22.3 22.3 15.8 0.2 12.3 0.0 0.3 0.0 0.0 0.0 0.0 82.2 14:0:15:0:0:351,24:0:10:0:0:346,3:0:6:0:0:370,14:0:13:0:0:353,13:0:20:0:0:347 146 Maryland PG 01/26/2019 34 0.0 82.2 5 0‑5‑0
183 13463 Wilde Robotics 28.3 36.8 36.8 10.0 10.8 7.5 0.1 0.0 0.0 0.0 0.0 0.0 82.2 10:5:0:0:0:365,0:14:30:0:0:337,16:12:9:344:0:0,5:20:12:0:0:342,10:8:15:0:0:347 184 Maryland PG 01/26/2019 31 0.4 59.6 5 1‑4‑0
184 13813 Sandy Spring Friends School Robotics 28.0 26.4 25.4 13.7 2.9 11.5 0.2 0.0 0.7 0.0 0.7 0.0 87.6 9:0:9:0:0:362,14:2:6:0:0:358,22:4:17:337:0:0,15:2:21:0:0:342,0:5:8:0:0:367 224 Maryland Montgomery 2 01/20/2019 20 0.4 67.8 5 1‑4‑0
185 5421 RM'd and Dangerous 27.9 21.9 24.6 6.4 10.3 11.2 0.0 0.0 0.7 0.0 0.7 0.0 62.4 4:7:6:0:0:362,0:10:25:0:0:345,4:11:10:0:0:355,0:6:5:0:0:369,7:15:21:337:0:0 135 Maryland Montgomery 1 01/19/2019 24 0.4 57.6 5 1‑4‑0
186 10216 SpiderByte 27.4 29.9 29.7 9.1 6.2 12.1 0.1 0.1 0.4 0.4 0.0 0.0 79.0 14:3:12:351:0:0,0:0:10:0:0:370,0:10:22:0:0:348,14:8:19:338:0:0,9:2:25:0:0:344,9:6:3:362:0:0 177 Maryland Annapolis 1 01/12/19 14 1.0 39.2 6 3‑5‑0
187 14185 R.I.C.E (Responsibly Intelligent Creative Engineers) 26.8 22.5 22.5 12.9 3.0 10.9 0.3 0.1 0.2 0.0 0.2 0.0 88.2 15:4:10:351:0:0,5:1:7:0:0:366,10:0:6:0:0:363,11:3:17:0:0:348,17:5:12:0:346:0 142 Maryland PG 01/26/2019 26 0.6 82.4 5 1‑3‑1
188 9338 Lightning Coalition Robotics 26.3 16.7 17.6 21.6 2.3 2.4 0.7 0.0 0.0 0.0 0.0 0.1 71.8 23:6:0:0:0:351,0:1:0:0:0:379,20:1:4:0:0:355,9:5:2:0:0:365,27:3:1:349:0:0,29:3:6:342:0:0 115 Maryland Annapolis 1 01/12/19 18 0.7 58.8 6 2‑4‑0
189 15812 26.1 24.1 21.6 5.8 4.6 15.6 0.0 0.2 0.2 0.0 0.2 0.1 85.8 0:3:0:0:0:377,7:5:12:356:0:0,7:5:22:0:0:345,0:4:22:0:0:354,6:4:25:0:0:345,7:7:29:0:0:337 157 Maryland Annapolis 1 01/12/19 20 0.3 84.5 6 1‑5‑0
190 14216 Preston Pandas 25.7 19.8 18.9 16.2 9.5 0.0 0.5 0.0 0.8 0.7 0.0 0.0 83.8 28:8:-0:345:0:0,30:3:-0:0:0:347,11:22:-0:0:0:347,7:11:-0:363:0:0,20:6:-0:0:0:354 175 Maryland Mountain Maryland 01/12/2019 11 0.8 68.8 5 2‑3‑0
191 10719 Termigators 25.0 30.0 28.2 14.8 4.4 5.7 0.2 0.3 0.3 0.2 0.0 0.1 96.8 20:3:5:352:0:0,0:0:7:0:0:373,29:11:6:0:0:333,0:6:15:0:0:360,13:3:5:0:0:359 174 Maryland Montgomery 1 01/19/2019 23 0.4 95.6 5 1‑4‑0
192 4218 Late() Knights 24.4 13.8 13.5 21.9 2.4 0.0 0.5 0.3 0.3 0.0 0.3 0.0 109.0 13:2:0:0:0:365,37:4:0:340:0:0,16:3:0:0:0:361,15:2:0:363:0:0,30:5:0:345:0:0 169 Maryland USRA Snow MakeUp 02/03/2019 9 1.2 90.0 5 3‑4‑0
193 13535 Brainbots 24.3 26.2 27.9 6.9 0.9 16.5 0.2 0.0 0.5 0.5 0.0 0.1 70.2 0:0:12:0:0:368,6:13:25:336:0:0,9:0:16:0:0:355,7:1:17:0:0:355,0:0:0:380:0:0 134 Maryland Mountain Maryland 01/12/2019 15 0.8 52.0 5 2‑5‑0
194 14812 OLMC Robotics 23.8 17.8 17.8 10.6 1.4 11.7 0.0 0.0 0.2 0.0 0.2 0.1 100.6 12:1:9:0:0:357,5:1:8:0:0:367,12:2:14:352:0:0,9:1:12:357:0:0,12:1:11:356:0:0 130 Maryland PG 01/26/2019 17 1.2 63.6 5 3‑2‑0
195 11648 The Body Electric 23.4 25.5 22.5 6.3 0.2 17.0 0.2 0.0 0.0 0.0 0.0 0.2 65.2 9:0:18:354:0:0,3:0:0:0:0:377,0:0:10:0:0:370,14:4:29:333:0:0,0:1:18:0:0:361 128 Maryland Greater DC 12/09/18 19 0.8 40.6 5 2‑3‑0
196 15812 22.9 23.7 21.1 3.5 3.5 15.9 0.0 0.1 0.2 0.0 0.2 0.2 80.2 0:4:16:0:0:360,5:11:18:346:0:0,0:2:6:0:0:372,3:2:18:0:0:356,3:2:18:356:0:0 159 Maryland Howard County 02/17/2019 28 0.8 72.4 5 2‑3‑0
197 14692 DM Robotics 2 22.9 22.6 23.5 15.4 6.4 1.0 0.0 0.0 0.0 0.0 0.0 0.0 63.6 15:11:1:353:0:0,7:12:0:0:0:361,18:3:1:0:0:358,0:5:3:0:0:372,25:3:1:351:0:0 134 Maryland Greater DC 12/09/18 17 0.8 51.4 5 2‑3‑0
198 7519 Quince Orchard CougarBotics 22.7 33.2 29.5 10.9 4.5 7.4 0.1 0.1 0.1 0.1 0.0 0.0 99.8 17:3:2:0:0:358,18:6:0:355:0:0,10:10:10:0:0:351,13:4:6:0:0:357,3:5:11:0:0:361,11:4:10:355:0:0 212 Maryland USRA Snow MakeUp 02/03/2019 13 0.7 87.0 6 2‑6‑0
199 15008 The Eclipse 22.4 19.6 18.9 8.5 11.5 2.5 0.0 0.0 2.1 1.0 1.1 0.0 95.4 0:3:0:0:0:377,8:6:4:362:0:0,12:2:3:0:0:363,9:16:1:354:0:0,8:12:2:0:0:357 164 Maryland Montgomery 2 01/20/2019 14 0.8 74.4 5 2‑3‑0
200 13463 Wilde Robotics 21.9 15.2 21.2 17.0 4.9 0.0 0.0 0.6 0.2 0.0 0.2 0.0 75.8 31:7:-0:0:0:342,11:2:-0:0:0:367,16:7:-0:0:0:357,12:7:-0:362:0:0,16:2:-0:0:0:362,19:4:-0:0:0:357 162 Maryland Annapolis 1 01/12/19 21 0.3 72.8 6 1‑5‑0
201 9338 Lightning Coalition Robotics 21.8 22.3 20.2 5.7 6.5 9.7 0.1 0.0 0.1 0.1 0.0 0.0 94.2 0:6:3:0:0:371,6:8:4:0:0:362,6:4:18:352:0:0,4:2:11:0:0:363,7:12:17:0:0:344 125 Maryland Howard County 02/17/2019 31 0.4 88.2 5 1‑4‑0
202 9450 Falcons FIRST 21.4 33.3 33.4 11.1 3.1 7.1 0.2 0.2 0.3 0.0 0.3 0.0 70.0 0:2:5:0:0:372,15:0:6:0:0:359,0:4:8:0:0:369,20:6:9:345:0:0,14:2:5:359:0:0 127 Maryland Mountain Maryland 01/12/2019 16 0.8 46.6 5 2‑3‑0
203 9450 Falcons FIRST 21.1 23.8 25.3 4.9 6.9 9.3 0.1 0.0 0.2 0.0 0.1 0.0 59.6 0:0:10:0:0:370,0:10:0:0:0:370,10:9:15:0:0:346,0:12:4:0:0:364,10:4:17:350:0:0 154 Maryland Montgomery 2 01/20/2019 23 0.4 33.6 5 1‑4‑0
204 13443 Fredrick Douglass HS 20.9 16.1 17.4 2.2 5.4 13.3 0.0 0.0 0.6 0.1 0.5 0.0 70.2 0:5:14:0:0:361,2:3:16:0:0:359,0:6:7:0:0:367,3:5:5:0:0:366,0:6:23:0:0:351 105 Maryland Howard County 02/17/2019 36 0.0 70.2 5 0‑5‑0
205 6406 First Tech Coyotes 20.7 0.0 0.0 6.2 0.0 14.5 0.0 0.0 0.0 0.0 0.0 0.1 61.0 0:-0:6:0:0:374,3:-0:24:353:0:0,5:-0:20:0:0:355,6:-0:23:0:0:351,0:-0:7:0:0:373 125 Maryland USRA Snow MakeUp 02/03/2019 23 0.4 52.6 5 1‑4‑0
206 14971 GaCo South High 2 19.7 14.7 13.9 19.7 0.0 0.0 0.4 0.1 0.0 0.0 0.0 0.0 69.0 16:-0:-0:364:0:0,39:-0:-0:0:0:341,0:-0:-0:380:0:0,52:-0:-0:328:0:0,0:-0:-0:0:0:380 189 Maryland Mountain Maryland 01/12/2019 9 1.2 46.0 5 4‑4‑0
207 13766 The Omegas (4-H FTC) 19.5 12.8 14.2 2.9 1.1 15.6 0.0 0.1 0.0 0.0 0.0 0.1 84.0 5:0:29:0:0:346,2:1:13:0:0:364,0:2:15:0:0:363,2:0:5:0:0:372,2:2:21:0:0:355 122 Maryland Montgomery 1 01/19/2019 25 0.0 84.0 5 0‑5‑0
208 9667 Bullis Gold 19.3 20.5 22.0 9.8 4.3 5.1 0.0 0.0 0.6 0.4 0.2 0.0 63.4 9:7:0:0:0:364,0:7:0:0:0:373,10:4:6:0:0:360,10:4:9:0:0:357,13:1:6:0:0:361 130 Maryland Montgomery 2 01/20/2019 24 0.0 63.4 5 0‑5‑0
209 7519 Quince Orchard CougarBotics 18.9 7.6 7.6 8.2 0.0 10.7 0.0 0.3 0.0 0.0 0.0 0.0 97.8 9:0:11:360:0:0,0:0:8:372:0:0,10:0:11:359:0:0,5:0:18:0:0:358,8:0:6:0:0:366 156 Maryland PG 01/26/2019 18 1.2 59.2 5 3‑2‑0
210 14984 Sentinel Robotics 18.7 0.2 0.0 3.7 2.2 12.9 0.1 0.0 0.0 0.0 0.0 0.0 49.0 0:2:10:0:0:369,0:5:16:0:0:359,4:3:5:0:0:368,0:1:15:0:0:364,3:3:23:0:0:350 105 Maryland Mountain Maryland 01/12/2019 20 0.0 49.0 5 0‑5‑0
211 6417 Blu Cru 16.5 12.3 12.0 1.6 6.2 8.7 0.0 0.0 0.1 0.1 0.0 0.0 46.8 0:8:11:0:0:361,0:6:7:367:0:0,2:6:6:0:0:367,0:5:22:0:0:353,3:12:4:0:0:362 65 Maryland Greater DC 12/09/18 24 0.4 45.6 5 1‑4‑0
212 5178 Mech Hawks 15.8 17.7 50.5 3.0 7.2 5.7 0.0 0.0 0.7 0.7 0.0 0.0 82.8 2:5:13:0:0:360,3:11:8:358:0:0,3:5:3:369:0:0,0:0:0:0:0:380,5:6:7:0:0:362 173 Maryland Greater DC 12/09/18 14 0.8 77.2 5 2‑3‑0
213 12063 The Mandelbots 15.6 11.6 14.4 2.7 2.8 10.1 0.0 0.1 0.0 0.0 0.0 0.1 62.2 0:1:0:0:0:379,0:4:21:0:0:355,4:3:8:365:0:0,5:3:5:0:0:367,0:5:7:0:0:368 147 Maryland Montgomery 2 01/20/2019 21 0.4 58.8 5 1‑4‑0
214 14812 OLMC Robotics 15.4 1.7 3.1 3.3 0.0 12.1 0.0 0.0 0.0 0.0 0.0 0.0 80.8 3:-0:9:0:0:369,1:-0:11:0:0:368,3:-0:15:362:0:0,4:-0:15:0:0:361,3:-0:9:368:0:0 127 Maryland USRA Snow MakeUp 02/03/2019 19 0.8 67.8 5 2‑3‑0
215 4081 The Droids 15.4 8.3 10.4 11.2 4.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 62.2 13:3:-0:0:0:365,11:8:-0:0:0:361,12:4:-0:0:0:364,10:8:-0:0:0:361,4:2:-0:0:0:373 88 Maryland Greater DC 12/09/18 26 0.0 62.2 5 0‑5‑0
216 11500 St. Mark Robotics 15.0 0.0 0.0 11.7 3.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 63.2 3:0:-0:0:0:377,6:10:-0:364:0:0,13:4:-0:363:0:0,11:3:-0:0:0:367,15:3:-0:0:0:363,9:4:-0:0:0:367 96 Maryland Annapolis 1 01/12/19 19 0.7 52.8 6 2‑4‑0
217 11533 BRAINS 14.3 0.0 0.0 14.3 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 68.0 15:-0:-0:0:0:365,0:-0:-0:0:0:380,6:-0:-0:0:0:374,14:-0:-0:0:0:366,24:-0:-0:0:0:356 112 Maryland PG 01/26/2019 35 0.0 68.0 5 0‑5‑0
218 15708 Jagged Prime 12.9 7.6 6.7 6.9 5.9 0.1 0.0 0.0 0.3 0.3 0.0 0.0 49.2 0:4:0:0:0:376,7:5:0:0:0:367,15:7:0:0:0:358,0:11:26:343:0:0,6:4:0:0:0:370 68 Maryland Montgomery 2 01/20/2019 22 0.4 47.6 5 1‑4‑0
219 8143 Jagged Edge 11.9 1.0 9.0 10.2 1.7 0.0 0.0 0.0 0.0 0.0 0.0 0.2 76.6 6:1:0:0:0:373,4:3:0:0:0:373,13:2:0:365:0:0,16:3:0:0:0:361,8:1:0:0:0:371 126 Maryland USRA Snow MakeUp 02/03/2019 22 0.4 72.2 5 1‑4‑0
220 7988 hound bots II 11.7 8.2 8.4 5.4 0.6 5.7 0.0 0.1 0.0 0.0 0.0 0.0 72.5 3:0:0:0:0:377,0:0:5:0:0:375,7:0:3:369:0:0,0:0:8:0:0:372,7:1:8:0:0:364,9:2:11:358:0:0 161 Maryland Annapolis 1 01/12/19 17 0.7 67.3 6 2‑4‑0
221 11261 Team S.T.R.A.N.G.E 11.1 2.0 6.0 0.0 11.1 0.0 0.0 0.0 1.7 0.6 1.1 0.0 62.2 -0:6:0:0:0:374,-0:3:0:0:0:377,-0:16:0:364:0:0,-0:5:0:0:0:375,-0:2:0:378:0:0 229 Maryland Mountain Maryland 01/12/2019 17 0.8 23.4 5 2‑3‑0
222 13270 McDonogh Robotics 10.7 8.0 5.2 8.9 0.0 1.8 0.2 0.0 0.0 0.0 0.0 0.0 75.2 10:-0:1:369:0:0,14:-0:2:364:0:0,0:-0:3:0:0:377,8:-0:2:0:0:370,11:-0:2:366:0:0,6:-0:0:0:0:374 162 Maryland Annapolis 1 01/12/19 11 1.0 63.2 6 7‑4‑0
223 8143 Jagged Edge 10.3 0.0 0.0 6.7 3.6 0.0 0.0 0.3 0.0 0.0 0.0 0.0 37.0 5:5:-0:369:0:0,0:1:-0:0:0:379,5:1:-0:0:0:373,0:7:-0:373:0:0,8:3:-0:0:0:370 68 Maryland Montgomery 2 01/20/2019 18 0.8 28.4 5 2‑3‑0
224 10216 SpiderByte 9.3 0.0 0.0 9.3 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 84.8 9:-0:0:0:0:371,8:-0:0:372:0:0,0:-0:0:0:0:380,14:-0:0:366:0:0,8:-0:0:0:0:372 143 Maryland Montgomery 1 01/19/2019 18 0.8 78.8 5 2‑3‑0
225 7518 Quince Orchard CouGears 8.1 0.0 0.0 0.8 7.2 0.0 0.0 0.0 0.6 0.6 0.0 0.0 74.4 1:6:0:0:0:373,0:8:0:0:0:371,1:7:0:0:0:372,0:7:0:0:0:373,1:10:0:0:369:0 142 Maryland PG 01/26/2019 32 0.2 74.4 5 0‑4‑1
226 4234 TechBrick FTC 4234 5.8 0.0 0.0 1.5 0.0 4.3 0.0 0.0 0.0 0.0 0.0 0.1 77.8 2:-0:0:378:0:0,2:-0:8:370:0:0,0:-0:0:0:0:380,1:-0:3:0:0:375,0:-0:0:0:0:380 220 Maryland Mountain Maryland 01/12/2019 14 0.8 53.2 5 2‑3‑0
227 5709 Gators 4.5 0.0 0.0 0.3 4.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 47.6 0:1:-0:0:0:379,0:4:-0:0:0:376,0:6:-0:0:0:374,1:10:-0:0:0:369,0:5:-0:0:0:375 96 Maryland Howard County 02/17/2019 37 0.0 47.6 5 0‑5‑0
228 5709 Gators 0.3 0.0 0.0 0.0 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 38.4 -0:0:-0:0:0:380,-0:0:-0:0:0:380,-0:1:-0:0:0:379,-0:0:-0:0:0:380,-0:0:-0:0:0:380 74 Maryland Montgomery 1 01/19/2019 27 0.0 38.4 5 0‑5‑0


Click on any state to see its tournaments





* Scoring explanation:

OPR: A fairly common way to compute team offense in FRC. We got the formula from here. You can also see more details here.
OPRc: Similar to OPR but we are instead minimizing the Ax-b linear equation rather than solving for Ax=b in order to apply constraints such as ensuring scores >= 0 and imposing upper bounds on game-specific performance. Constraints for Rover Ruckus are: auto <= 110, end-game <= 50, auto-land <= 1, auto-sampling <= 2, end-game-latch <= 1.
Non-penalty OPR/OPRc: If available, this is the OPR/OPRc when all penalties are removed from matches.
Auto, TeleOp, and End Game OPRc: If available, this is the OPRc for each phase of matches as reported. Should sum to Non-Penalty OPRc. Note that some states like Florida combine TeleOp and End Game scores.
NP Avg: Team's average score through all matches without penalties.
Histogram: Team's histogram of estimated contribution from matches. Order from bottom is auto, teleop, end-game, and diff between max score of 380 and total contribution. Contribution is computed as match_score * (team_oprc / (team_oprc + partner_oprc)).
Max NP Score: Team's max alliance score through all matches without penalties.
Top-10 Scores: The top 10 non-penalty scores reported by FTC, Orange Alliance, Purple Alliance, or published on states' FTC sites.

Thanks to Bill Gardner for the pointer to FRC metrics and many ideas on how to improve the stats!


Please take a look and send us a note at feedback@ftcstats.org if you have some feedback.






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