Accounting for breaches/captures in OPR

[sastoller]

This is some pretty awesome data Caleb! I have been working on my own script to pull down the match data, organize it, and run various calculations on it. This is not exactly simple stuff, but it's given me the chance to practice my (not-so-great) scripting skills, refresh on some linear algebra, and of course play with ROBOT DATA in JMP.

I think using the real match data (microbuns method) to add the +20 for a breach and +25 for a capture to Qual matches is the best way to calculate this new OPR (I call it "Modified OPR"). It's also a pretty simple modification to my OPR calculation script since I already have the data columns there for breach and capture. Obviously I only add this to the final score if the match is not an elims match. This is most accurate to how elims matches are truly scored. I prefer to let the calculated contribution to tower weakening and defense breaching speak for itself in the analysis of those columns by themselves.

(if breach=='true')score+=20;} if(capture=='true'){score+=25;}

microbuns, I get the same results as you for 2016_ONTO with my Perl OPR calculator if I use data from only the qualification matches. Always nice to double-check work .

One thing I would like to hear opinions on is if eliminations match data should be use in OPR calculations. My results change significantly when I factor in elims data for my Modified OPR and Regular OPR. See below (sorted by 'Mod OPR Qual'). OPRs tend to drop for robots in elims, probably due to the "cap" for breach points, the alliance partnership with two other good teams, and the fact that defense is a bigger factor in elims.

Perhaps someone who attended this regional could comment which OPR more accurately reflects true robot performance (specifically looking at 2013, 610, 1241 and 1305 in this list since they change rank depending on which OPR I rank by).

Team	Mod OPR ALL	OPR ALL		Mod OPR Qual	OPR Qual
2056	87.76		69.46		99.25		77.16
1114	76.15		59.84		73.32		57.41
118	59.85		49.83		69.96		56.85
2013	54.16		41.92		66.19		48.66
610	48.24		36.67		60.95		43.7
1241	58.48		46.65		58.63		46.11
1305	52.56		38.84		47.19		36.43
4476	49.78		36.59		45.98		33.27
5807	46.69		35.65		43.8		34.76
296	43.15		31.33		42.91		30.38
4618	42.65		32.17		42.07		31.23
5596	28.24		25.83		40.99		32.78
4976	36.67		26.41		39.1		27.33
3117	38.74		33.71		39.04		32.88
5031	34.44		28.27		38.59		30.12
1547	37.79		30.53		37.5		30.39
4783	31.54		24.96		37.13		27.57
5036	39.98		32.47		34.46		29.24
1325	38.05		27.82		32.7		25.3
4732	34.1		27.2		31.4		25.61
1285	30.56		23.24		30.11		22.79
746	30.8		22.05		29.9		22.04
4704	31.71		23.86		28.82		22.14
2634	21.9		20.42		28.16		24.64
2228	27.65		22.06		27.98		22.33
2935	27.59		23.73		27.61		23.51
4308	24.77		22.28		25.2		22.8
6125	23.34		22.21		23.46		22.72
4248	23.54		18.12		23.21		18.17
2185	22.2		18.32		22.47		18.55
2340	22.77		23.04		22.18		22.82
4939	21.37		23.62		21.89		23.83
4343	16.26		15.33		21.06		17.75
4525	21.85		22.16		20.95		21.7
1075	22.49		18.58		20.06		17.18
4252	19.4		13.59		18.36		13.23
3710	23.6		21.57		15.24		16.59
5580	12.24		14.17		14.99		15.94
4015	13.23		11.04		13.24		11.12
5428	12.75		14.08		13.04		13.33
6141	18.76		18.79		12.72		15.38
2198	12.85		9.32		12.64		9.45
6070	12.56		10.67		10.16		9.52
6046	11.9		12.28		9.15		10.69
1246	11.73		11.87		8.54		9.98
3541	7.99		9.23		8.04		9.37
6140	6.63		11.06		6.14		11.04
5076	6.73		6.92		5.78		6.43
5094	-4.85		0.26		-5.58		-0.51