Utah Tech16-15

WACCoach: Jon Judkins

16-15NET#208

Net Rtg, on the floor minus off it. Players with 100 possessions each way

Players

Columns

ON/OFF Difference

How the team's numbers change with each player on the floor. Ranked against every qualifying player in Division I.

	Possessions			Efficiency			Four Factors				Opponent

Noah Bolanga	1,603	355	81.8%	−2.940	+0.352	+3.130	+2.778	+0.052	+1.724	−4.926	+2.226	+0.152	−0.148	+2.734
Chance Trujillo	1,570	388	80.2%	+10.588	+7.486	−3.166	+0.254	+2.978	−2.484	−2.936	−0.252	+0.252	+2.486	−0.654
Ethan Potter	1,532	426	78.2%	+4.668	+2.866	−1.960	+4.088	−13.32	−4.496	−5.224	+0.246	+7.698	−1.822	−12.596
Jusaun Holt	1,492	467	76.2%	−8.920	−5.522	+3.330	−0.544	−2.430	+2.712	+1.962	−4.086	−6.18	−4.64	−4.072
Tanner Davis	1,211	747	61.8%	−6.626	−5.422	+1.142	−3.718	−0.844	−1.776	−2.338	+1.630	−1.732	+1.676	−2.664
Britton Berrett	1,132	827	57.8%	+9.484	+9.292	−0.250	+2.878	−0.348	−2.584	+3.370	+0.444	+6.196	−2.910	−4.474
Madiba Owona	531	1,428	27.1%	+1.356	−0.250	−1.558	+1.870	+1.768	+1.624	+1.258	+2.324	+3.786	+3.294	+9.58
Samuel Ariyibi	442	1,516	22.6%	−3.936	−7.616	−3.770	−5.48	+7.598	+5.22	+5.078	−1.768	−6.86	+3.494	−0.352
Dario Domingos	236	1,722	12.1%	+2.260	+2.264	+0.050	−1.238	+10.5100	+1.132	+5.078	−2.778	−6.18	+0.052	+15.22

Player ON

What the team did while each player was on the floor.

	Possessions			Efficiency			Four Factors				Opponent

Noah Bolanga	1,603	355	81.8%	-1.542	108.644	110.144	54.6%60	27.9%42	18.0%34	29.4%40	51.6%48	65.2%30	17.0%56	32.9%46
Chance Trujillo	1,570	388	80.2%	1.148	110.048	108.946	54.1%58	28.4%44	17.2%38	29.7%40	51.1%50	65.2%30	17.5%60	32.2%48
Ethan Potter	1,532	426	78.2%	0.046	109.146	109.146	54.9%62	24.7%28	16.7%42	29.1%38	51.2%50	66.8%38	16.7%54	29.7%56
Jusaun Holt	1,492	467	76.2%	-3.140	107.242	110.342	53.9%58	27.3%40	18.3%30	30.7%42	50.3%52	63.9%26	16.0%48	31.5%50
Tanner Davis	1,211	747	61.8%	-3.540	106.440	109.944	52.7%52	27.6%40	17.0%40	29.4%40	51.8%46	64.5%28	17.6%62	31.4%52
Britton Berrett	1,132	827	57.8%	3.050	112.454	109.444	55.2%64	27.7%40	16.6%42	31.6%46	51.3%48	67.8%40	15.8%48	30.4%54
Madiba Owona	531	1,428	27.1%	0.046	108.444	108.348	55.4%64	29.1%46	18.8%28	31.1%44	52.9%42	68.0%40	19.4%72	39.5%30
Samuel Ariyibi	442	1,516	22.6%	-4.038	102.630	106.652	49.9%36	33.5%66	21.7%14	34.2%52	49.9%58	60.0%14	19.6%74	32.1%48
Dario Domingos	236	1,722	12.1%	0.948	110.550	109.544	53.0%52	37.1%76	18.6%28	34.7%54	48.7%60	59.8%14	17.1%58	45.9%18

Player OFF

What the team did while each player sat.

	Possessions			Efficiency			Four Factors				Opponent

Noah Bolanga	1,603	355	81.8%	1.448	108.344	106.950	51.8%48	27.8%42	16.3%46	34.2%52	49.4%58	65.1%30	17.1%58	30.2%54
Chance Trujillo	1,570	388	80.2%	-9.430	102.630	112.038	53.9%58	25.6%32	19.6%22	32.6%48	51.3%48	65.0%28	15.1%42	32.8%46
Ethan Potter	1,532	426	78.2%	-4.638	106.338	111.042	51.0%44	37.9%80	21.1%16	34.3%52	51.0%50	59.3%14	18.5%68	42.2%26
Jusaun Holt	1,492	467	76.2%	5.856	112.756	106.950	54.4%60	29.7%50	15.6%50	28.8%38	54.3%34	70.0%48	20.6%78	35.5%40
Tanner Davis	1,211	747	61.8%	3.152	111.952	108.846	56.4%68	28.4%44	18.7%28	31.7%46	50.2%52	66.2%32	16.1%50	33.9%44
Britton Berrett	1,132	827	57.8%	-6.434	103.232	109.644	52.5%52	28.0%42	19.1%26	28.3%38	50.9%50	61.7%18	18.7%68	34.8%42
Madiba Owona	531	1,428	27.1%	-1.342	108.644	109.944	53.6%56	27.4%40	17.2%38	29.9%40	50.6%52	64.2%26	16.2%50	30.0%56
Samuel Ariyibi	442	1,516	22.6%	-0.146	110.250	110.342	55.3%64	26.0%34	16.5%44	29.1%40	51.5%48	66.8%38	16.3%50	32.4%48
Dario Domingos	236	1,722	12.1%	-1.242	108.344	109.544	54.2%58	26.6%36	17.5%36	29.6%40	51.5%48	65.9%32	17.0%56	30.6%54

How to read this

An on/off split is not a rating of the player. It is what the team did with him on the floor and with him off it, which also carries whoever replaced him, whoever he played alongside, and who the opponent had out there at the time. Two players on the same team can trade the same minutes and both look good, or both look bad, for reasons neither controls.

Players need 100 possessions both on and off the floor to appear. Both sides, not either: a starter who never sits has no off-court sample, and his difference would be the team measured against nothing.

In ON/OFF Difference, percentage columns are shown as points of difference, and each row is ranked against every qualifying player in Division I (4,026 of them) rather than against team ratings: a +7 net rating is a good lineup, a +7 net swing is an enormous one. Player ON and Player OFF are ranked against Division I five-man units instead, because those are ordinary team rates.

Sorting any of the three tables reorders all three, so a player stays on the same line throughout.