FTC 2018-2019 Team Strengths (Maryland Tech Invitational)



     

       

Top 10 Scores *
ScoreAutoTeleOpEndLander MineralsSilverGoldTeamsEvent
61116035110069234611115 Gluten Free9872 (In)Formal LogicMaryland - MTI 06/30/2019
59213535710071284314270 Quantum Robotics11115 Gluten FreeMaryland - MTI 06/30/2019
59215034210068234511115 Gluten Free8393 Giant Diencephalic BrainSTEM 7244 OUT of the BOXMaryland - MTI 06/30/2019
5901603301006631358886 Saber Robotics11115 Gluten FreeMaryland - MTI 06/30/2019
59016033010066264011115 Gluten Free8393 Giant Diencephalic BrainSTEM 7244 OUT of the BOXMaryland - MTI 06/30/2019
555953601007227457182 Mechanical Paradox11115 Gluten FreeMaryland - MTI 06/30/2019
55216029210058243411115 Gluten Free8393 Giant Diencephalic BrainSTEM 7244 OUT of the BOXMaryland - MTI 06/30/2019
5501602901005818408417 'Lectric Legends9872 (In)Formal Logic7105 SWIFT Intergalactic Space LlamasMaryland - MTI 06/30/2019
53116027110053213211115 Gluten Free8393 Giant Diencephalic BrainSTEM 7244 OUT of the BOXMaryland - MTI 06/30/2019
5251602651005321327105 SWIFT Intergalactic Space Llamas8417 'Lectric LegendsMaryland - MTI 06/30/2019



 

Rank Team Team name Non Penalty
OPR *		 OPR * Non Penalty
OPRc *		 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		 Division Quals
Rank		 Avg RP Avg TBP Qual
matches		 Event
W-L-T
1 11115 Gluten Free 366.6 362.5 365.3 66.7 251.5 47.1 1.0 0.6 50.0 20.4 29.6 1.0 522.0 47:243:50:120:0:0,72:234:49:104:0:0,80:285:49:47:0:0,54:259:50:97:0:0,85:242:28:105:0:0,71:242:50:96:0:0,63:235:50:112:0:0,53:280:35:92:0:0,80:257:36:87:0:0 611 Maryland - MTI 06/30/2019 1 2.0 286.2 9 13‑2‑0
2 4634 FROGbots - Purple 261.6 263.4 260.3 73.2 137.1 50.0 1.0 0.9 27.2 10.6 16.6 1.0 424.0 59:133:50:0:0:218,89:158:36:177:0:0,83:147:50:180:0:0,62:100:50:247:0:0,48:137:50:225:0:0,80:138:25:217:0:0,70:161:50:178:0:0,87:154:50:0:0:169,84:130:50:196:0:0 480 Maryland - MTI 06/30/2019 5 1.6 298.6 9 10‑5‑0
3 9971 LANbros 253.0 255.5 256.3 77.9 128.4 50.0 1.0 1.1 25.6 10.0 15.6 1.0 442.3 83:128:50:199:0:0,79:118:29:233:0:0,61:125:50:225:0:0,86:141:50:183:0:0,84:140:50:186:0:0,69:129:50:212:0:0,71:107:30:252:0:0,89:153:50:0:0:168,82:122:50:0:0:206 510 Maryland - MTI 06/30/2019 6 1.6 293.2 9 8‑4‑0
4 8393 The Giant Diencephalic BrainSTEM Robotics Team 250.5 256.0 244.2 71.7 122.5 50.0 1.0 0.9 23.8 8.3 15.5 1.0 434.8 77:122:50:211:0:0,80:142:50:188:0:0,69:101:50:241:0:0,73:145:50:191:0:0,64:90:50:0:0:256,78:64:50:268:0:0,31:132:50:0:0:247,80:175:50:155:0:0,76:145:50:189:0:0 522 Maryland - MTI 06/30/2019 3 1.6 329.0 9 11‑4‑0
5 14270 Quantum Robotics 248.0 247.3 247.8 75.2 130.6 42.0 1.0 1.0 25.9 9.4 16.5 0.8 456.8 61:127:46:0:0:227,85:170:46:159:0:0,62:9:9:0:0:381,87:168:47:158:0:0,94:163:33:170:0:0,66:132:46:216:0:0,72:122:47:219:0:0,78:132:49:201:0:0,81:134:46:199:0:0 592 Maryland - MTI 06/30/2019 4 1.6 303.0 9 8‑4‑0
6 7105 SWIFT Intergalactic Space Llamas 244.6 242.2 239.8 67.4 122.5 50.0 1.0 0.7 24.4 10.3 14.0 1.0 413.8 81:133:50:195:0:0,73:135:50:202:0:0,76:129:47:0:0:208,58:90:50:263:0:0,61:90:50:0:0:259,63:98:44:255:0:0,67:138:50:205:0:0,75:152:50:183:0:0,60:162:46:0:0:192 525 Maryland - MTI 06/30/2019 8 1.3 337.1 9 7‑5‑0
7 8417 'Lectric Legends 243.1 246.0 240.4 80.0 117.5 42.9 1.0 1.0 23.7 8.6 15.1 0.8 418.3 84:137:46:193:0:0,87:130:46:197:0:0,76:96:46:241:0:0,100:147:50:163:0:0,87:97:9:0:0:267,83:149:50:179:0:0,89:119:31:221:0:0,82:118:50:209:0:0,46:55:42:0:0:317 525 Maryland - MTI 06/30/2019 7 1.6 281.2 9 8‑4‑0
8 8886 Saber Robotics 235.3 253.1 232.5 80.6 103.3 48.6 1.0 1.0 20.5 8.1 12.4 0.9 410.8 66:92:49:0:0:253,88:96:50:226:0:0,98:118:50:194:0:0,85:91:49:0:0:235,86:104:50:220:0:0,85:80:49:0:0:246,75:109:26:250:0:0,86:129:36:208:0:0,75:134:50:200:0:0 590 Maryland - MTI 06/30/2019 11 1.3 301.0 9 9‑6‑0
9 5064 Aperture Science 223.6 224.6 225.9 72.6 103.4 50.0 1.0 0.7 20.6 8.9 11.8 1.0 403.4 79:128:50:203:0:0,80:120:50:210:0:0,40:72:50:0:0:298,50:120:50:0:0:240,66:69:41:285:0:0,80:104:25:251:0:0,92:95:50:0:0:223,81:105:50:224:0:0,79:106:50:225:0:0 522 Maryland - MTI 06/30/2019 10 1.3 302.4 9 7‑5‑0
10 7182 Mechanical Paradox 222.4 226.4 225.4 69.2 121.2 35.1 1.0 0.8 24.5 9.3 15.2 0.7 431.6 48:117:43:252:0:0,71:112:21:257:0:0,71:129:41:0:0:219,69:112:22:257:0:0,74:121:42:223:0:0,76:134:41:209:0:0,68:137:41:214:0:0,77:110:35:238:0:0,68:119:24:249:0:0 555 Maryland - MTI 06/30/2019 2 1.8 289.4 9 11‑4‑0
11 7149 ENFORCERS 208.4 205.1 201.6 70.9 80.6 50.0 1.0 0.8 15.4 7.6 7.7 1.0 360.7 76:70:50:264:0:0,77:92:35:256:0:0,66:110:50:235:0:0,75:71:50:0:0:264,59:82:50:0:0:269,69:107:50:234:0:0,83:67:34:0:0:277,79:82:50:249:0:0,72:64:50:0:0:275 447 Maryland - MTI 06/30/2019 14 1.1 298.6 9 5‑4‑0
12 7244 OUT of the BOX 196.4 200.9 193.1 74.7 83.9 34.4 1.0 0.9 16.7 6.4 10.3 0.7 350.6 80:85:27:0:0:268,84:92:0:0:0:284,78:63:26:0:0:293,77:100:41:243:0:0,81:30:47:303:0:0,77:106:45:232:0:0,69:70:20:301:0:0,74:102:41:0:0:243,76:102:50:232:0:0,79:79:31:271:0:0 515 Maryland - MTI 06/30/2019 12 1.2 268.8 10 10‑6‑0
13 5040 Nuts & Bolts 188.4 187.2 191.0 63.7 80.3 46.9 1.0 0.7 14.8 4.9 9.9 0.9 333.3 69:70:48:273:0:0,64:87:26:283:0:0,32:18:36:0:0:374,69:75:50:0:0:265,52:96:50:0:0:263,89:111:50:0:0:210,71:81:34:274:0:0,70:100:48:241:0:0,58:67:46:0:0:289 497 Maryland - MTI 06/30/2019 19 0.9 280.4 9 4‑5‑0
14 5485 GorillaBots 187.5 185.7 179.0 62.2 66.8 50.0 0.9 0.7 12.6 5.2 7.4 1.0 322.8 64:55:50:291:0:0,68:68:50:274:0:0,64:71:50:0:0:275,78:74:50:0:0:258,57:93:50:260:0:0,13:27:35:0:0:385,70:42:50:0:0:297,61:82:50:0:0:267,80:80:37:0:0:264 435 Maryland - MTI 06/30/2019 24 0.7 306.8 9 3‑6‑0
15 9872 (In)Formal Logic 183.1 182.2 175.4 66.8 58.7 50.0 1.0 0.7 11.3 2.9 8.5 1.0 376.1 54:53:50:0:0:303,75:77:50:258:0:0,80:66:50:264:0:0,74:64:50:272:0:0,59:53:50:0:0:298,65:42:40:0:0:313,47:43:50:0:0:320,77:32:50:0:0:301,76:56:50:278:0:0 611 Maryland - MTI 06/30/2019 17 0.9 292.3 9 5‑7‑0
16 11192 Black Tigers 175.7 174.3 170.5 63.3 57.2 50.0 1.0 1.1 10.9 6.4 4.5 1.0 336.7 66:67:50:277:0:0,70:61:50:0:0:279,49:55:50:305:0:0,47:69:50:0:0:293,40:27:44:0:0:349,69:63:50:278:0:0,70:40:50:300:0:0,66:61:35:0:0:298,88:63:50:0:0:259 454 Maryland - MTI 06/30/2019 21 0.9 239.8 9 4‑5‑0
17 10464 The Bionic Tigers 171.0 174.1 165.1 70.6 50.1 44.4 1.0 0.6 9.9 4.6 5.3 0.9 315.7 71:55:24:310:0:0,71:60:42:0:0:287,42:49:34:0:0:335,53:61:47:0:0:300,76:55:47:282:0:0,83:20:50:0:0:307,80:51:47:0:0:282,99:29:50:282:0:0,70:60:50:280:0:0 455 Maryland - MTI 06/30/2019 18 0.9 283.6 9 4‑5‑0
18 6700 X BOTS 150.0 145.9 150.8 62.3 38.5 50.0 1.0 0.9 7.3 1.7 5.6 1.0 312.8 56:64:50:0:0:290,71:44:50:0:0:295,35:27:50:0:0:348,78:3:15:0:0:363,52:54:50:0:0:305,65:30:50:0:0:315,70:40:50:0:0:300,70:55:50:285:0:0,63:30:50:0:0:316 480 Maryland - MTI 06/30/2019 32 0.2 309.1 9 1‑8‑0
19 6931 The Substantial Monocephalic BrainSTEM Robotics Team 147.7 148.3 152.2 75.2 33.0 44.0 1.0 1.0 6.4 3.0 3.4 0.8 333.1 81:41:47:291:0:0,82:33:47:298:0:0,69:45:47:299:0:0,76:30:28:326:0:0,84:28:50:0:0:299,82:17:47:314:0:0,45:33:38:0:0:344,79:36:30:0:0:315,75:39:50:296:0:0 429 Maryland - MTI 06/30/2019 13 1.3 293.4 9 6‑3‑0
20 5233 Vector 147.1 149.8 144.1 54.6 42.4 47.1 1.0 0.3 8.3 5.2 3.1 0.9 279.3 58:38:46:0:0:318,53:20:50:0:0:337,56:30:34:340:0:0,63:54:50:293:0:0,75:49:50:286:0:0,43:19:30:0:0:368,38:31:49:0:0:342,58:72:30:0:0:300,60:57:50:0:0:293 472 Maryland - MTI 06/30/2019 26 0.7 245.4 9 3‑6‑0
21 4592 Nuts and Bolts 143.3 145.9 147.7 65.0 38.2 44.4 0.9 0.7 7.6 2.0 5.6 0.9 322.1 79:42:47:293:0:0,71:34:34:0:0:321,41:28:35:0:0:356,82:42:47:0:0:289,42:38:47:332:0:0,77:15:50:0:0:318,66:54:50:0:0:290,60:41:24:335:0:0,69:45:47:299:0:0 435 Maryland - MTI 06/30/2019 20 0.9 279.1 9 4‑5‑0
22 8338 Team Shatterdome 139.1 137.9 138.7 68.5 31.8 38.4 1.0 0.7 5.9 2.7 3.2 0.8 333.6 71:26:43:320:0:0,67:15:45:0:0:333,77:34:43:305:0:0,56:33:45:327:0:0,76:26:47:0:0:311,73:61:28:0:0:298,75:23:43:319:0:0,74:40:29:318:0:0,67:31:26:336:0:0,58:36:26:0:0:340 502 Maryland - MTI 06/30/2019 9 1.2 274.5 10 6‑4‑0
23 6299 ViperBots QuadX 132.9 137.1 129.1 60.3 39.0 29.8 1.0 0.7 7.6 1.4 6.2 0.5 311.9 54:65:37:0:0:304,65:39:23:0:0:333,81:6:9:0:0:364,66:37:39:0:0:319,51:39:37:0:0:333,54:26:24:355:0:0,59:65:22:314:0:0,68:35:30:327:0:0,63:37:37:0:0:322 404 Maryland - MTI 06/30/2019 25 0.7 295.9 9 3‑6‑0
24 12518 Almond Robotics 125.3 128.8 129.4 36.4 53.5 39.5 0.9 0.3 10.3 3.4 6.9 0.8 284.9 19:9:33:0:0:399,11:38:0:0:0:411,40:71:28:321:0:0,45:67:48:300:0:0,39:19:50:352:0:0,39:52:46:324:0:0,36:90:28:306:0:0,39:66:50:0:0:306,40:72:46:0:0:302 504 Maryland - MTI 06/30/2019 16 1.1 205.1 9 5‑4‑0
25 9773 Robocracy 124.5 123.4 123.4 62.3 42.7 18.5 0.8 0.6 7.7 4.3 3.4 0.4 264.3 43:20:0:0:0:397,19:31:0:0:0:410,39:31:15:0:0:375,62:47:19:0:0:333,85:50:28:297:0:0,77:42:26:0:0:316,80:55:34:292:0:0,71:51:27:0:0:311,80:51:13:0:0:315 464 Maryland - MTI 06/30/2019 28 0.4 243.6 9 2‑7‑0
26 10251 36 Cents 109.8 113.8 111.1 43.2 31.5 36.4 0.6 0.6 6.2 1.5 4.7 0.7 285.4 31:48:0:0:0:380,49:36:42:0:0:333,52:36:43:329:0:0,30:37:42:0:0:351,55:30:22:353:0:0,0:3:42:0:0:414,55:40:50:314:0:0,61:18:45:336:0:0,37:36:24:0:0:363 462 Maryland - MTI 06/30/2019 22 0.9 237.7 9 4‑5‑0
27 7314 Sab-BOT-age 109.6 112.2 112.5 53.4 37.8 21.3 0.7 0.5 7.5 2.6 4.9 0.5 297.2 37:17:0:0:0:406,58:43:15:344:0:0,54:27:16:363:0:0,63:66:47:284:0:0,66:47:17:330:0:0,12:15:15:0:0:418,68:35:30:0:0:327,63:43:30:0:0:324,56:36:19:349:0:0 447 Maryland - MTI 06/30/2019 15 1.1 234.2 9 5‑4‑0
28 8395 The A-Team 91.8 97.2 92.3 67.0 7.6 17.7 0.9 0.7 1.8 0.8 1.1 0.4 276.2 49:12:0:0:0:400,76:8:0:0:0:376,33:2:14:0:0:411,83:1:24:352:0:0,83:7:24:0:0:345,66:10:26:358:0:0,65:9:26:360:0:0,71:9:31:0:0:348,80:8:14:358:0:0 475 Maryland - MTI 06/30/2019 23 0.9 220.0 9 4‑5‑0
29 5843 AutoVortex 91.2 94.6 99.6 23.4 52.2 24.1 0.7 0.0 10.2 3.0 7.2 0.3 244.3 20:109:28:0:0:302,24:62:23:0:0:351,27:91:50:292:0:0,21:50:28:0:0:360,15:25:21:0:0:399,22:42:21:375:0:0,27:43:16:0:0:373,26:80:8:0:0:346,14:25:23:0:0:398 347 Maryland - MTI 06/30/2019 30 0.4 213.4 9 2‑7‑0
30 7393 electron Volts 91.2 89.4 93.9 58.8 3.9 31.1 1.0 0.4 0.7 0.5 0.2 0.6 248.8 59:0:32:369:0:0,65:4:38:0:0:352,48:0:6:0:0:405,58:4:31:0:0:366,53:6:38:363:0:0,62:8:22:0:0:368,59:6:41:0:0:354,62:7:20:0:0:371,59:5:47:348:0:0 342 Maryland - MTI 06/30/2019 27 0.7 240.6 9 3‑6‑0
31 10030 7 Sigma 90.4 88.7 89.2 41.0 17.0 31.2 1.0 0.1 2.9 1.3 1.6 0.5 231.0 35:36:37:0:0:353,50:12:50:0:0:349,45:23:22:370:0:0,52:2:10:0:0:397,33:20:40:0:0:366,32:8:20:0:0:400,25:17:27:0:0:391,48:9:38:0:0:365,57:19:38:0:0:346 327 Maryland - MTI 06/30/2019 33 0.2 220.4 9 1‑8‑0
32 14875 LightSpeed 78.6 75.8 81.1 29.5 31.7 19.9 0.8 0.0 6.2 3.1 3.1 0.3 231.3 32:29:19:0:0:380,36:37:14:373:0:0,34:33:18:0:0:375,37:4:26:393:0:0,26:29:28:0:0:377,0:4:23:0:0:434,34:48:7:0:0:371,32:66:19:0:0:342,27:27:19:0:0:387 370 Maryland - MTI 06/30/2019 31 0.4 199.6 9 2‑7‑0
33 2753 Team Overdrive 56.7 69.2 62.3 20.9 9.9 31.5 0.7 0.0 1.3 1.1 0.2 0.6 218.9 21:0:33:406:0:0,25:7:50:0:0:378,22:7:24:0:0:407,19:10:37:0:0:395,23:8:6:0:0:423,20:7:25:0:0:408,9:11:39:0:0:402,23:21:31:0:0:386,20:13:39:388:0:0 342 Maryland - MTI 06/30/2019 29 0.4 218.2 9 2‑7‑0
34 15300 3πr.inc 43.4 49.0 48.5 21.8 6.1 20.7 0.5 0.0 1.4 0.0 1.4 0.3 233.3 11:1:17:0:0:431,24:5:16:0:0:415,29:1:6:0:0:424,13:6:16:0:0:425,18:8:29:0:0:404,31:8:31:0:0:390,25:4:29:0:0:402,17:7:15:421:0:0,20:8:19:0:0:413 407 Maryland - MTI 06/30/2019 34 0.2 209.4 9 1‑8‑0


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 460 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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