UConn - 2018 | Sports Data

2018 Team Stats (9 games)

64.3

PPG

74.0

Opp

-9.9

Margin

39.9%

FG%

28.5%

3P%

75.4%

FT%

32.9

RPG

8.1

APG

12.1

TO

76.8

Pace

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 →	1841 (#1)	-
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More →	1604 (#4)	-
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More →	+41.5 (#9)	HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.184 (#81)	-
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -17.4 More →	0.123 (#74)	NetEff -17.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.3 More →	0.490 (#67)	AdjNet -0.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.3 More →	0.493 (#67)	AdjNet -0.3

2018 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2017-11-23	@	Oregon Ducks	W	71 - 63
2017-12-21	@	Arizona Wildcats	L	58 - 73
2017-12-30	vs	Wichita State Shockers	L	62 - 72
2018-01-10	vs	UCF Knights	W	62 - 53
2018-01-20	vs	Villanova Wildcats	L	61 - 81
2018-02-03	vs	Cincinnati Bearcats	L	57 - 65
2018-02-10	@	Wichita State Shockers	L	74 - 95
2018-02-22	@	Cincinnati Bearcats	L	52 - 77
2018-03-04	@	Houston Cougars	L	71 - 81
2018-03-08	vs	SMU Mustangs	L	73 - 80

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/G	PM/40	FG%	3P%	FT%	RAPM	TS%	eFG%
J. Adams	G	9	38.6	16.6	3.8	4.3	1.8	0.4	3.2	14.9	8.8	0	0.0	0.0	38.8	25.0	76.7	0.23	50.6	42.2
A. Gilbert	G	1	32.0	16.0	3.0	1.0	3.0	0.0	2.0	12.0	9.0	-	-	-	50.0	66.7	40.0	-	56.3	58.3
C. Vital	G	10	33.0	15.6	6.3	1.2	2.3	0.0	2.0	10.1	13.3	-	-	-	39.6	37.5	83.3	-	63.9	48.5
T. Larrier	G	10	34.1	13.1	4.6	0.5	0.7	0.1	2.3	12.5	4.2	-	-	-	33.6	20.0	81.2	-	47.1	36.8
A. Anderson	G	10	28.1	7.0	3.4	1.6	1.1	0.0	1.3	5.3	6.5	80	6.2	8.9	39.6	24.0	76.2	2.05	56.2	45.3
J. Carlton	C	10	16.5	4.4	3.3	0.4	0.5	0.9	0.7	3.3	5.5	-	-	-	51.5	0	75.0	-	60.2	51.5
M. Diarra	F	9	11.1	3.3	2.6	0.0	0.2	0.6	0.6	1.3	4.8	-	-	-	83.3	0	54.5	-	89.1	83.3
E. Cobb	F	4	8.2	2.8	2.8	0.0	0.0	0.0	1.8	1.8	2.0	-	-	-	57.1	50.0	50.0	-	69.8	71.4
D. Onuorah	F	10	11.5	1.2	1.6	0.1	0.0	0.2	0.7	0.8	1.6	-	-	-	50.0	0	100.0	-	61.5	50.0
T. Polley	-	10	9.8	1.0	0.4	0.2	0.0	0.3	0.3	1.3	0.3	-	-	-	23.1	28.6	50.0	-	33.9	30.8
K. Williams	F	4	9.5	1.0	2.2	0.0	0.0	0.0	0.2	0.8	2.2	22	2.2	6.5	66.7	0.0	0.0	0.68	58.1	66.7
I. Whaley	F	10	11.9	0.8	1.4	0.1	0.2	0.9	0.3	0.7	2.4	-	-	-	28.6	0	0.0	-	53.8	28.6
M. Noyes	G	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	-1.0	-	-	-	0.0	0.0	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