Rank	Team	Team name	Non Penalty OPR *	OPR *	Non Penalty OPRc *	Auto OPRc *	TeleOp OPRc *	End Game OPRc *	Auto Sample Count *	Auto Specimen Count *	Tele Sample High *	Tele Specimen Low *	Tele Specimen High *	End Ascent Score *	Norm Avg **	Histogram	Max Norm Score	Worlds	Event	Quals Rank	Avg RP	Avg Opp	Qual matches	Event W-L-T
1	23112	overCloQ	55.8	55.8	53.0	3.6	36.6	12.7	0.0	0.1	0.0	0.0	3.3	10.9	59.2	2:45:15:238:0:0,3:33:16:249:0:0,0:8:3:0:0:289,3:54:16:227:0:0,11:41:16:233:0:0	83	yes	Qatar Qatar Championship 03/06/25	1	1.60	22.4	5	7‑1‑0
2	25404	RTE Robotics	26.4	26.2	24.6	1.4	22.4	0.7	0.0	0.1	2.9	0.0	0.1	0.0	37.2	0:27:0:273:0:0,0:20:1:279:0:0,0:30:0:269:0:0,2:0:0:0:0:298,3:30:3:265:0:0	63		Qatar Qatar Championship 03/06/25	2	1.60	28.0	5	7‑1‑0
3	23115	Ram-Seas	21.6	20.8	19.3	2.7	12.7	3.9	0.0	0.2	0.0	0.0	0.8	3.4	28.6	0:18:0:282:0:0,5:6:3:0:0:286,0:15:4:0:0:281,2:14:8:276:0:0,8:18:3:272:0:0	39		Qatar Qatar Championship 03/06/25	4	1.20	32.0	5	5‑4‑0
4	28897		19.4	22.0	17.5	0.7	7.4	9.4	0.0	0.0	0.1	0.0	0.0	8.4	28.0	0:5:0:0:0:295,0:2:15:283:0:0,0:10:6:285:0:0,1:10:14:275:0:0,2:8:12:0:0:278	46		Qatar Qatar Championship 03/06/25	7	1.20	28.2	5	4‑4‑0
5	28898		18.7	20.0	18.7	3.3	15.4	0.0	0.0	0.4	0.8	0.0	0.1	0.0	30.8	3:23:0:275:0:0,5:8:0:0:0:287,0:6:0:0:0:294,0:20:0:0:0:280,7:20:0:273:0:0	63		Qatar Qatar Championship 03/06/25	9	0.80	29.8	5	2‑3‑0
6	23123	DragonBot1	15.6	15.3	16.0	0.5	5.0	10.5	0.0	0.0	0.0	0.0	0.3	9.7	29.0	0:7:0:292:0:0,0:4:17:279:0:0,0:5:13:283:0:0,1:0:13:286:0:0,1:5:10:0:0:284	42		Qatar Qatar Championship 03/06/25	3	1.60	15.6	5	6‑3‑0
7	25432	Tariq Bin Ziyad	11.6	10.8	10.2	1.9	3.3	5.0	0.0	0.0	0.0	0.0	0.0	5.7	21.8	0:3:0:0:0:297,2:4:3:0:0:291,2:3:3:292:0:0,1:4:10:285:0:0,2:3:5:0:0:290,4:4:6:0:0:286	39		Qatar Qatar Championship 03/06/25	13	0.40	39.4	6	2‑4‑0
8	23119	QASTARM	9.2	9.2	7.2	0.7	5.2	1.3	0.0	0.1	0.0	0.0	0.4	1.4	21.6	1:2:0:0:0:297,0:2:0:0:0:298,0:0:1:0:0:299,0:8:2:290:0:0,1:6:2:291:0:0	83		Qatar Qatar Championship 03/06/25	11	0.80	15.2	5	2‑3‑0
9	23118	RoboQAST2	7.3	7.8	7.5	0.8	4.7	2.0	0.0	0.1	0.0	0.0	0.0	1.0	23.2	0:5:0:0:0:295,0:2:3:295:0:0,0:0:2:0:0:298,0:7:0:0:0:293,0:14:3:0:0:283,2:5:2:290:0:0	77		Qatar Qatar Championship 03/06/25	10	0.80	28.0	6	2‑4‑0
10	23114	Boxed UP	6.9	8.1	5.9	3.1	1.1	1.8	0.0	0.5	0.0	0.1	0.0	0.6	16.0	5:0:0:0:0:295,6:13:3:0:0:279,0:1:2:0:0:297,5:0:2:293:0:0,3:0:1:0:0:296	23		Qatar Qatar Championship 03/06/25	12	0.40	34.2	5	1‑4‑0
11	29129		3.6	3.4	5.6	0.0	3.7	1.9	0.0	0.0	0.2	0.0	0.0	2.3	26.0	0:5:0:295:0:0,0:3:2:294:0:0,0:3:2:294:0:0,0:5:0:0:0:295,0:0:2:0:0:298	57		Qatar Qatar Championship 03/06/25	8	1.20	15.8	5	4‑4‑0
12	29101		1.2	0.7	5.3	0.8	4.4	0.0	0.0	0.0	0.0	0.0	0.6	0.0	26.6	0:3:0:0:0:297,1:5:0:294:0:0,1:3:0:296:0:0,0:2:0:0:0:298,2:6:0:291:0:0	68		Qatar Qatar Championship 03/06/25	5	1.20	22.4	5	3‑4‑0
13	23113	TechMasters	-3.4	-0.6	1.4	0.9	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.0	14.2	0:0:0:300:0:0,1:0:0:0:0:299,2:0:1:298:0:0,1:0:0:0:0:299,2:0:1:297:0:0	28		Qatar Qatar Championship 03/06/25	6	1.20	29.4	5	3‑4‑0
14	23125	Dominators - MBA	-4.4	-4.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1	0.0	0.0	15.2	0:0:0:0:0:300,0:0:0:0:0:300,0:0:0:0:0:300,0:0:0:0:0:300,0:0:0:0:0:300	23		Qatar Qatar Championship 03/06/25	14	0.00	43.0	5	0‑5‑0

For CENTERSTAGE, the default top-scores list is limited only to traditional events.

* 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. For example, constraints for CENTERSTAGE are: auto <= 80, teleop <= 180, end-game <= 50, end-hang <= 1, end-drone <= 30.
Non-penalty OPR/OPRc: If available, this is the OPR/OPRc when all penalties are removed from matches. For CENTERSTAGE, Non-penalty OPR includes subtracted penalties for remote events.
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.
Norm Avg: Team's average score through all matches with penalties subtracted.
Histogram: Team's histogram of estimated contribution from matches. Order from bottom is auto, teleop, end-game, and diff between max score of 300 and total contribution. Contribution is computed as match_score * (team_oprc / (team_oprc + partner_oprc)).
Max Norm Score: Team's max alliance score through all matches with penalties subtracted.
Top-10 Scores: The top 10 non-penalty scores reported.

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.