Oklahoma

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017

Also known as: Oklahoma Sooners, Oklahoma

Program History

Coach: Lon Kruger

2018 Team Stats (21 games)

83.9

PPG

84.7

Opp

-0.9

Margin

45.7%

FG%

37.1%

3P%

74.6%

FT%

37.8

RPG

14.3

APG

13.9

Est. poss./game

87.1

Adj PPG

75.6

Adj Opp PPG

#41

Scoring Rank

Model Outputs

2017-2018

Catalog

Output is shown as model rating with league rank in parentheses when available.

Model	Output	Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More →	1175 (#78)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1176 (#60)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More →	975 (#210)	HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More →	+12.6 (#39)	HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More →	+8.1 (#73)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.610 (#104)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.5 More →	0.870 (#46)	AdjNet +16.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.7 More →	0.873 (#46)	AdjNet +16.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.1 \| AdjD 75.6 More →	0.739 (#41)	AdjO 87.1 \| AdjD 75.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.4 \| AdjD 76.3 More →	0.570 (#108)	AdjO 79.4 \| AdjD 76.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More →	0.703 (#73)	Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More →	0.670 (#83)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 \| GP 32 More →	1146 (#74)	RD 112 \| GP 32

2018 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2017-11-12	vs	Omaha Mavericks	W	108 - 89
2017-11-15	vs	Ball State Cardinals	W	108 - 69
2017-11-23	vs	Arkansas Razorbacks	L	83 - 92
2017-11-24	vs	Portland Pilots	W	93 - 71
2017-11-26	@	Oregon Ducks	W	90 - 80
2017-11-30	vs	North Texas Mean Green	W	82 - 72
2017-12-04	vs	UTSA Roadrunners	W	97 - 85
2017-12-08	@	USC Trojans	W	85 - 83
2017-12-16	@	Wichita State Shockers	W	91 - 83
2017-12-19	vs	Northwestern State Demons	W	105 - 68
2017-12-22	vs	Northwestern Wildcats	W	104 - 78
2017-12-30	@	TCU Horned Frogs	W	90 - 89
2018-01-03	vs	Oklahoma State Cowboys	W	109 - 89
2018-01-06	@	West Virginia Mountaineers	L	76 - 89
2018-01-09	vs	Texas Tech Red Raiders	W	75 - 65
2018-01-13	vs	TCU Horned Frogs	W	102 - 97
2018-01-16	@	Kansas State Wildcats	L	69 - 87
2018-01-20	@	Oklahoma State Cowboys	L	81 - 83
2018-01-23	vs	Kansas Jayhawks	W	85 - 80
2018-01-27	@	Alabama Crimson Tide	L	73 - 80
2018-01-30	vs	Baylor Bears	W	98 - 96
2018-02-03	@	Texas Longhorns	L	74 - 79
2018-02-05	vs	West Virginia Mountaineers	L	73 - 75
2018-02-10	@	Iowa State Cyclones	L	80 - 88
2018-02-13	@	Texas Tech Red Raiders	L	78 - 88
2018-02-17	vs	Texas Longhorns	L	66 - 77
2018-02-19	@	Kansas Jayhawks	L	74 - 104
2018-02-24	vs	Kansas State Wildcats	W	86 - 77
2018-02-27	@	Baylor Bears	L	64 - 87
2018-03-02	vs	Iowa State Cyclones	W	81 - 60
2018-03-07	@	Oklahoma State Cowboys	L	60 - 71
2018-03-15	@	Rhode Island Rams	L	78 - 83

2018 Roster

Show Alumni

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player	Pos	GP	MIN	PTS	REB	AST	STL	BLK	TO	FGA	Numbers	PM	PM GP	PM/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
Trae Young	-	30	35.5	28.1	3.9	8.9	1.6	0.2	5.2	14.7	22.9	61	25	2.4	3.0	42.1	35.2	86.0	2.53	79.5	51.4
Christian James	G	29	30.1	11.7	4.5	1.3	1.2	0.0	1.5	6.6	10.6	121	25	4.8	7.0	45.8	38.6	69.8	5.24	80.4	56.0
Brady Manek	F	30	24.3	10.4	5.4	0.5	0.4	0.7	0.8	6.4	10.1	57	25	2.3	4.2	47.2	40.7	68.2	-0.66	77.0	59.6
Kameron McGusty	G	30	18.0	7.7	1.9	0.3	0.4	0.0	0.8	5.0	4.5	-76	25	-3.0	-7.8	42.0	32.9	76.1	-1.94	68.1	50.0
Rashard Odomes	G	29	21.5	7.3	3.6	1.2	0.3	0.1	0.9	4.2	7.3	55	24	2.3	4.6	50.4	55.6	50.0	1.05	72.8	52.4
Khadeem Lattin	F	30	20.3	6.9	6.0	0.5	1.1	2.0	0.7	2.7	13.1	105	25	4.2	9.0	50.6	0.0	76.5	2.41	108.4	50.6
Jamuni McNeace	C	30	17.9	6.8	5.3	0.4	0.6	1.5	1.5	3.5	9.5	-66	25	-2.6	-6.6	67.9	0	51.6	-1.69	84.8	67.9
Matt Freeman	F	24	9.8	2.7	1.4	0.5	0.2	0.1	0.3	1.2	3.2	15	20	0.8	3.2	34.5	36.0	50.0	-0.31	104.0	50.0
Kristian Doolittle	F	20	16.4	2.5	3.9	0.6	0.4	0.1	0.7	2.0	4.8	-47	16	-2.9	-7.8	32.5	50.0	68.4	-1.59	52.7	33.8
Jordan Shepherd	G	29	11.7	2.5	0.7	1.2	0.4	0.1	0.9	1.4	2.8	-11	24	-0.5	-1.6	35.0	23.1	76.5	-1.03	75.8	38.8
Hannes Polla	C	14	3.4	1.2	1.1	0.0	0.0	0.1	0.4	0.6	1.4	-4	12	-0.3	-4.0	37.5	0	0	-1.85	106.2	37.5
Chris Giles	G	7	1.9	0.9	0.0	0.0	0.1	0.0	0.1	0.4	0.4	0	6	0.0	0.0	33.3	0.0	100.0	-1.26	77.3	33.3
Ty Lazenby	G	23	5.3	0.6	0.7	0.2	0.2	0.0	0.3	0.3	1.0	-11	18	-0.6	-4.6	42.9	33.3	50.0	-1.42	82.5	50.0
Patrick Geha	F	4	2.0	0.5	0.2	0.0	0.0	0.0	0.0	0.0	0.8	-	-	-	-	0	0	100.0	-0.83	113.6	0
Marshall Thorpe	F	4	2.0	0.0	0.5	0.0	0.0	0.0	0.0	0.0	0.5	-	-	-	-	0	0	0	-0.83	0	0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG