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ALL GAMES	Minutes		Playing +/-		Sitting +/-		Net +/-
	played	sat	Total	per 40	Total	per 40	Total	per 40
Jackson	778	552	477	24.52	229	16.59	248	7.93
Arthur	817	513	496	24.28	210	16.37	286	7.91
Chalmers	952	378	556	23.36	150	15.87	406	7.49
Robinson	899	431	513	22.83	193	17.91	320	4.91
Reed	143	1187	77	21.54	629	21.20	-552	0.34
Collins	654	676	343	20.98	363	21.48	-20	(0.50)
Rush	887	443	452	20.38	254	22.93	198	(2.55)
Aldrich	286	1044	143	20.00	563	21.57	-420	(1.57)
Stewart	347	983	173	19.94	533	21.69	-360	(1.75)
Kaun	585	745	276	18.87	430	23.09	-154	(4.22)
Case	137	1193	56	16.35	650	21.79	-594	(5.44)
Teahan	65	1265	1	0.62	705	22.29	-704	(21.68)
Kleinmann	43	1287	-1	(0.93)	707	21.97	-708	(22.90)
Bechard	20	1310	-13	(26.00)	719	21.95	-732	(47.95)
Witherspoon	24	1306	-18	(30.00)	724	22.17	-742	(52.17)
Buford	22	1298	-17	(30.91)	723	22.28	-740	(53.19)
33 games. 1330 minutes available. KU has outscored its opponents by 706. The data for the games @ NU, @ KSU, @ CU, @ OSU, @ ISU, vs Davidson, and vs North Carolina are not included.
	#1	#2	#3	#4	#5	#6	#7	#8

CLOSE GAMES	Minutes		Playing +/-		Sitting +/-		Net +/-
	played	sat	Total	per 40	Total	per 40	Total	per 40
Collins	213	197	51	9.58	8	1.62	43	7.95
Jackson	259	151	49	7.57	10	2.65	39	4.92
Chalmers	335	75	55	6.57	4	2.13	51	4.43
Rush	337	73	54	6.41	5	2.74	49	3.67
Arthur	278	132	42	6.04	17	5.15	25	0.89
Aldrich	42	368	6	5.71	53	5.76	-47	(0.05)
Robinson	284	126	21	2.96	38	12.06	-17	(9.11)
Stewart	85	325	6	2.82	53	6.52	-47	(3.70)
Kaun	206	204	13	2.52	46	9.02	-33	(6.50)
Case	6	404	0	0.00	59	5.84	-59	(5.84)
Reed	7	403	-2	(11.43)	61	6.05	-63	(17.48)
Witherspoon	0	410	0		59	5.76	-59
Teahan	0	410	0		59	5.76	-59
Kleinmann	0	410	0		59	5.76	-59
Bechard	0	410	0		59	5.76	-59
Buford	0	410	0		59	5.76	-59
10 games. 410 minutes available. KU has outscored its opponents by 59. The data for the game at KSU, @OSU, vs Davidson, and vs North Carolina are not included.
	#1	#2	#3	#4	#5	#6	#7	#8
Explanation Column 1: Minutes played for the season to date. Column 2: Minutes sat for the season to date. Note: cols. 1 and 2 should equal the total minutes in the bottom row. Column 3: KU's +/- when the player is on the court. A positive number means KU is outscoring its opponents. A negative number means the opponents are outscoring KU. This measures the player's effect on KU's play. Column 4: Col. 2 normalized for 40 minutes of playing. Column 5: KU's +/- when the player is on the bench. A positive number means KU is outscoring the opponents. A negative number means the opponents are outscoring KU. This is designed to measure the effect of the player's absence. Notes: Cols. 3 and 5 should equal KU's scoring differential for the season in the bottom row. Column 6: Col. 5 normalized for 40 minutes of sitting. Column 7: Col. 5 subtracted from col. 3. This is the 'Roland Rating' (82games.com). Examples: If KU outscores its opponents by 55 when Player A is on the court, and yet is outscored by 3 when he is off the court, his net +/- would be 58 (55 - -3). If KU outscores opponents by 40 when Player B is on the court and by 12 when he is off the court, his net +/- would be 28 (40 - 12). Column 8: Col. 6 subtracted from col. 4. Discussion It is a matter of personal preference which column you think is most important. I have sorted the data on col. 4. An argument could be made for ordering it on cols. 6 or 8. Another way of looking at the data is by subs: Grouping it by players who have a similar role. I have included the Roland Rating mostly just to see what it does after many games of data have been included. The Roland Rating has some significant drawbacks. It is really designed for NBA basketball, where the teams are closer together in talent than in college ball. For college ball it might make sense to keep two sets of data: one for close games and another for blowouts. The Roland stat is also rather meaningless for players who do not play much. Players on KU who do not play much would have a very negative Roland rating, because KU is outscoring opponents while the player is sitting. They would have a small playing +/- and a high sitting +/-. A bench player on a team getting consistently outscored by opponents could have a high, positive rating. He would have a low playing +/- and a large, negative sitting +/-. For example, if a player plays the last 2 minutes in a 29-point loss. His playing +/- might be 4. His sitting +/- would be -33. His net +/- would be +37 (4 - -33).

Specialty stats: Team stats | Team highs/lows | Individual highs | Pro-rated stats | Category leaders