Purdue Boilermakers

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Also known as: Purdue Boilermakers

Program History

Coach: Matt Painter

2014 Team Stats (9 games)

71.3

PPG

79.4

Opp

-8.1

Margin

43.0%

FG%

29.7%

3P%

66.1%

FT%

37.6

RPG

13.3

APG

12.0

Est. poss./game

75.1

Adj PPG

68.2

Adj Opp PPG

#74

Scoring Rank

Model Outputs

2013-2014

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 →	1009 (#168)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1070 (#117)	-
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More →	923 (#278)	HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More →	+7.8 (#68)	HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More →	+7.2 (#76)	HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.524 (#157)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.3 More →	0.786 (#75)	AdjNet +11.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.5 More →	0.791 (#74)	AdjNet +11.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.1 \| AdjD 68.2 More →	0.653 (#74)	AdjO 75.1 \| AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.7 \| AdjD 69.6 More →	0.548 (#117)	AdjO 71.7 \| AdjD 69.6
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 →	0.623 (#108)	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 →	0.602 (#112)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 \| GP 32 More →	1062 (#126)	RD 132 \| GP 32

2014 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2013-11-08	vs	Northern Kentucky Norse	W	77 - 76
2013-11-13	vs	Central Connecticut Blue Devils	W	109 - 73
2013-11-17	vs	Rider Broncs	W	81 - 77
2013-11-20	vs	Eastern Illinois Panthers	W	83 - 55
2013-11-24	vs	Siena Saints	W	81 - 73
2013-11-28	@	Oklahoma State Cowboys	L	87 - 97
2013-11-29	@	Washington State Cougars	L	54 - 69
2013-12-01	@	Siena Saints	W	68 - 63
2013-12-04	vs	Boston College Eagles	W	88 - 67
2013-12-07	vs	Eastern Michigan Eagles	W	69 - 64
2013-12-14	@	Butler Bulldogs	L	70 - 76
2013-12-17	vs	Maryland Eastern Shore Hawks	W	79 - 50
2013-12-22	@	West Virginia Mountaineers	W	73 - 70
2013-12-31	vs	Ohio State Buckeyes	L	69 - 78
2014-01-05	@	Minnesota Golden Gophers	L	79 - 82
2014-01-12	vs	Nebraska Cornhuskers	W	70 - 64
2014-01-15	@	Illinois Fighting Illini	W	66 - 58
2014-01-18	vs	Penn State Nittany Lions	W	65 - 64
2014-01-21	@	Northwestern Wildcats	L	60 - 63
2014-01-25	vs	Wisconsin Badgers	L	58 - 72
2014-01-30	@	Michigan Wolverines	L	66 - 75
2014-02-02	@	Penn State Nittany Lions	L	68 - 79
2014-02-05	vs	Minnesota Golden Gophers	W	77 - 74
2014-02-08	@	Ohio State Buckeyes	L	49 - 67
2014-02-15	vs	Indiana Hoosiers	W	82 - 64
2014-02-20	vs	Michigan State Spartans	L	79 - 94
2014-02-23	@	Nebraska Cornhuskers	L	57 - 76
2014-02-26	vs	Michigan Wolverines	L	76 - 77
2014-03-02	@	Iowa Hawkeyes	L	76 - 83
2014-03-05	@	Wisconsin Badgers	L	70 - 76
2014-03-09	vs	Northwestern Wildcats	L	65 - 74
2014-03-13	@	Ohio State Buckeyes	L	61 - 63

2014 Roster

Show Alumni If everyone stayed four years

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%
Terone Johnson	G	28	30.5	11.5	3.6	2.4	0.7	0.1	1.3	5.8	11.2	-30	25	-1.2	-1.8	39.3	40.0	61.7	-1.46	87.7	45.4
A.J. Hammons	C	28	25.8	11.0	7.7	0.5	0.4	3.0	2.6	3.8	16.3	40	24	1.7	2.9	52.4	0.0	71.4	3.52	116.0	52.4
Ronnie Johnson	G	28	28.4	10.6	2.8	3.8	0.5	0.0	2.2	5.2	10.3	65	25	2.6	4.0	44.8	29.0	59.7	4.04	86.2	47.9
Kendall Stephens	G	28	20.9	8.4	1.8	0.8	0.5	0.3	0.7	4.2	6.9	64	25	2.6	5.3	32.5	34.1	84.2	3.74	93.7	44.9
Bryson Scott	G	28	15.4	5.9	2.5	1.2	0.9	0.1	1.5	3.0	6.2	-90	25	-3.6	-9.9	30.6	25.0	80.6	-4.2	81.8	31.8
Rapheal Davis	G	28	18.9	5.8	3.6	1.3	0.4	0.2	0.8	2.3	8.2	-10	25	-0.4	-0.9	43.1	22.2	82.1	-0.23	98.0	46.2
Basil Smotherman	F	28	19.2	5.0	3.9	0.7	0.5	0.1	0.5	2.1	7.7	11	25	0.4	1.0	55.2	0.0	66.7	-0.99	106.9	55.2
Errick Peck	F	28	17.9	4.2	4.2	0.6	0.3	0.4	1.0	2.3	6.4	-63	25	-2.5	-6.0	47.7	33.3	55.6	-3.86	84.8	51.5
Sterling Carter	G	23	15.2	4.2	1.8	1.1	1.0	0.3	0.7	2.0	5.7	20	21	1.0	2.7	28.3	20.0	85.7	1.73	97.8	34.8
Jay Simpson	F	22	11.5	4.1	3.4	0.6	0.5	0.3	1.0	2.0	5.9	-1	20	-0.1	-0.2	48.8	0.0	45.0	0.37	87.8	48.8
Stephen Toyra	G	6	4.0	1.7	0.3	0.0	0.2	0.0	0.2	0.5	1.5	5	7	0.7	9.2	66.7	0.0	0	-0.89	166.7	66.7
Travis Carroll	F	22	7.0	1.3	1.3	0.2	0.1	0.1	0.0	0.6	2.4	-33	20	-1.6	-10.2	35.7	0	0.0	-3.01	97.4	35.7
Anfernee Brown	G	3	1.7	0.7	0.3	0.3	0.0	0.0	0.0	0.0	1.3	-	-	-	-	0	0	0	-	0	0
Neal Beshears	F	4	1.8	0.0	0.2	0.0	0.0	0.0	0.0	0.0	0.2	-	-	-	-	0	0	0	-	0	0
Jon McKeeman	G	3	2.0	0.0	0.7	0.0	0.0	0.0	0.0	0.0	0.7	-	-	-	-	0	0	0	-	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