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| View Poll Results: Was this useful? | |||
| Yes, it was! It helped point out diamonds in the rough |
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109 | 70.32% |
| No, its numbers generally did not correspond to robot's actual on-field performance |
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46 | 29.68% |
| Voters: 155. You may not vote on this poll | |||
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#136
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
Has anyone tried to combine the matches from all regionals into one giant matrix, and solve that?
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#137
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
It took me a little while but here is a Mac version of an OPR program. Requires OS X version 10.5.
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#138
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
This is great, thanks for putting the time in to making this thing work! One general recommendation, could you have a column on the left that always has the numbers 1-X(however many teams there are) so you know where each team ranks? Looks great though, hopefully this application can be adapted to next years game fairly quickly!
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#139
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
Bump: Thanks to FIRST not updating the format of the online results this year, I just want to point out that OPRNet (and I'm assuming the other implementations) work in 2010 as well.
Notable rankings: 1114 [Pittsburgh]: 6.8 63 [Pittsburgh]: 3.7 217 [Cass Tech]: 4.9 469 [Cass Tech]: 2.4 (this seems low, but it is probably because 469 is dependent on good alliance partners supplying it with balls, so it quals they probably end up with lower effectiveness) Last edited by Bongle : 15-03-2010 at 10:03. |
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#140
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
Fantastic!!
I was about to dig out your code to see if it would work this year as well. We used it last year with excellent results. Now that we know it works, you can count on us using it again this year. All we have to do is wait until week 5. |
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#141
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
It worked last weekend when i was using it at the Florida regional. The only part that bugs me is the "predict" section. you have to predict the seeding score by yourself because it still does it in WLT format.
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#142
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
I love this program, our team has done something similar to this.
It tells you everything you really need to know and you don't need the extra stuff. Great job. |
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#143
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
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It needs updating anyway, because the regional list won't work with new or name-changed regionals. |
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#144
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
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I found out there was wifi at Philly so I never implemented the offline option. Plus I've never done .NET programming so I didnt want to setup the environment. |
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#145
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
Quote:
I just ran the data for the 2010 New Jersey Regional and figured I would post the results: Code:
Seed Team # OPR SAA +/- 1 25 6.401610347932085 1.063761665157571 5.337849 2 422 2.254846421054722 0.7917893261239222 1.463057 3 303 3.496353780535462 0.4103956967706686 3.085958 4 709 0.2485902762437386 1.536787881146741 -1.288198 5 1923 1.918282483508905 1.922396766589092 -0.00411427 6 1672 1.974737752942523 0.145660464866258 1.829077 7 1279 1.764929841307056 -0.7990712317406506 2.564001 8 870 2.306026742135704 0.4803629631386594 1.825664 9 1676 2.627860402464438 0.8595179597767183 1.768342 10 2590 1.793287315868592 1.595875809285964 0.1974114 11 224 2.126467393765244 0.404411786991265 1.722056 12 75 0.5341691967227997 3.050175689151065 -2.516006 13 2607 0.1817870568086065 -0.3960684230867369 0.5778555 14 41 0.1071730804421981 0.2937202426748263 -0.1865472 15 223 0.9125425049561782 2.684162332647792 -1.77162 16 293 1.343841815595809 -0.6223732204944771 1.966215 17 2016 2.317256967356212 -0.3417684318910283 2.659025 18 486 1.948404416357168 3.008755289210832 -1.060351 19 1807 1.004704265868846 -0.2484066556456418 1.253111 20 1860 1.303983370258202 0.4375293174088174 0.866454 21 752 1.3930097675295 0.1210917747787422 1.271918 22 1089 2.153812997671896 -0.06564317367935771 2.219456 23 56 2.287472736963714 0.926848060399948 1.360625 24 2458 1.085208077846458 1.485165988031718 -0.3999579 25 2495 2.445740166507706 0.4188788716105148 2.026861 26 613 1.254155978305673 0.3131623267842687 0.9409937 27 11 1.334384863419665 1.497880377670121 -0.1634954 28 555 1.028491286566071 0.3666698271910944 0.6618214 29 834 1.728689547460161 1.581988392511743 0.1467012 30 714 0.2673804821596022 2.739851557976847 -2.472471 31 1382 -0.007066540361709374 1.047449972942374 -1.054516 32 2753 1.362336571039709 1.584438935913565 -0.2221024 33 3231 0.419863715229353 0.2492343170053663 0.1706294 34 2265 -0.1358273933803141 2.350029461714916 -2.485857 35 2180 2.545235952008568 0.6989073588089524 1.846328 36 136 0.3731544889568303 2.815498787535494 -2.442344 37 1811 1.329742352966351 -0.2654778563890701 1.59522 38 237 0.1178980688713144 1.898895509854473 -1.780997 39 1872 0.9973754594635658 0.02779847880451964 0.969577 40 219 1.800412973538224 1.026869103774027 0.773544 41 2577 -0.1916628984180219 -0.04636067284746017 -0.1453022 42 1563 -0.6626363464787126 -0.4251070350894005 -0.2375293 43 423 -0.4151511338057186 2.51051314820927 -2.925664 44 335 -0.05660564155512169 1.108022104372928 -1.164628 45 3059 0.4553537370670253 1.146883582393113 -0.6915299 46 2344 0.2505583401530093 0.8191699560066874 -0.5686116 47 102 0.7022521040889705 0.3263160644703582 0.375936 48 816 1.382543581738802 1.073104347670353 0.3094392 49 869 -0.1213719904748385 1.349761953271257 -1.471134 50 2191 -1.316450896185367 2.796712713236501 -4.113163 51 1881 1.080428706697298 0.2303600472853828 0.8500687 52 1616 -0.1920799853403433 0.9075870552225288 -1.099667 53 203 0.6275316516882863 0.8703176484238624 -0.242786 54 1367 -0.2715298497986134 1.007171281871124 -1.278701 55 1257 -1.066110954290831 0.7775186804097176 -1.84363 56 1155 -0.6725974579240466 2.948571076342111 -3.621168 57 3314 0.00202229424332078 -0.8444811451892285 0.8465034 58 2600 -1.113662998481091 1.059702426510045 -2.173365 59 1228 -0.204278883337306 1.781750566926853 -1.986029 60 1403 -0.580624049583941 0.8869603075379122 -1.467584 61 2789 -0.7434964315856768 0.05580599710176955 -0.7993024 |
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#146
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
anyway that someone could post this info for the florida regional?
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#147
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
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#148
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
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#149
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
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#150
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Re: Easy to use Offensive Power Rankings (OPR) program for mid-regional scouting
Quote:
I called it OPRNet because it was (inter)net-capable, rather than having the user manually create text files to parse. |
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