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USC

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: USC Trojans, USC
Program History
Coach: Andy Enfield

2016 Team Stats (11 games)

79.5
PPG
80.3
Opp
-0.8
Margin
45.4%
FG%
37.9%
3P%
65.8%
FT%
38.7
RPG
14.3
APG
12.8
TO
-
Est. poss./game
80.8
Adj PPG
69.9
Adj Opp PPG
#43
Scoring Rank

Model Outputs

2015-2016
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 → 1176 (#80) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1166 (#69) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 972 (#209) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +12.0 (#43) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +7.9 (#72) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.705 (#71) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.9 More → 0.887 (#41) AdjNet +17.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.0 More → 0.889 (#41) AdjNet +18.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.8 | AdjD 69.9 More → 0.730 (#43) AdjO 80.8 | AdjD 69.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.9 | AdjD 72.5 More → 0.578 (#101) AdjO 75.9 | AdjD 72.5
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 → 0.717 (#63) 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 → 0.688 (#73) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 34 More → 1155 (#75) RD 111 | GP 34

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs San Diego Toreros W 83 - 45
2015-11-16 vs Monmouth Hawks W 101 - 90
2015-11-21 vs New Mexico Lobos W 90 - 82
2015-11-23 vs Cal State Northridge Matadors W 96 - 61
2015-11-26 vs Wichita State Shockers W 72 - 69
2015-11-27 vs Xavier Musketeers L 77 - 87
2015-11-29 @ Monmouth Hawks L 73 - 83
2015-12-03 @ UC Santa Barbara Gauchos W 75 - 63
2015-12-07 vs Idaho Vandals W 74 - 55
2015-12-13 vs Yale Bulldogs W 68 - 56
2015-12-17 vs Cal Poly Mustangs W 101 - 82
2015-12-21 vs SIU Edwardsville Cougars W 70 - 51
2015-12-23 vs Lafayette Leopards W 100 - 64
2016-01-01 @ Washington State Cougars W 90 - 77
2016-01-03 @ Washington Huskies L 85 - 87
2016-01-07 vs Arizona State Sun Devils W 75 - 65
2016-01-09 vs Arizona Wildcats W 103 - 101
2016-01-13 @ UCLA Bruins W 89 - 75
2016-01-21 @ Oregon Ducks L 81 - 89
2016-01-24 @ Oregon State Beavers L 70 - 85
2016-01-28 vs Washington State Cougars W 81 - 71
2016-01-30 vs Washington Huskies W 98 - 88
2016-02-04 vs UCLA Bruins W 80 - 61
2016-02-12 @ Arizona State Sun Devils L 67 - 74
2016-02-14 @ Arizona Wildcats L 78 - 86
2016-02-17 vs Colorado Buffaloes W 79 - 72
2016-02-21 vs Utah Utes L 69 - 80
2016-02-25 @ Stanford Cardinal L 64 - 84
2016-02-28 @ California Golden Bears L 65 - 87
2016-03-02 vs Oregon State Beavers W 81 - 70
2016-03-05 vs Oregon Ducks L 66 - 76
2016-03-09 vs UCLA Bruins W 95 - 71
2016-03-10 @ Utah Utes L 72 - 80
2016-03-17 vs Providence Friars L 69 - 70

2016 Roster

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%
J. McLaughlin J. McLaughlin - 32 32.2 13.2 3.6 4.7 1.6 0.2 2.4 3.7 17.1 79 25 3.2 4.3 44.9 27.5 81.8 2.66 158.8 49.6
J. Jacobs J. Jacobs G 30 31.0 11.8 4.8 5.4 1.3 0.4 2.7 3.8 17.3 19 23 0.8 1.2 43.5 27.3 66.0 2.1 130.8 44.8
N. Jovanovic N. Jovanovic F 32 25.7 11.8 7.2 0.3 0.3 0.8 1.4 3.0 16.1 65 25 2.6 4.5 54.2 60.0 70.1 1.82 150.6 55.7
K. Reinhardt K. Reinhardt G 32 26.8 11.3 2.8 1.5 1.0 0.1 1.4 3.3 12.0 -16 25 -0.6 -1.0 43.9 38.8 66.7 -3.8 157.1 56.1
B. Boatwright B. Boatwright F 31 24.1 11.2 5.2 1.1 0.4 0.8 1.3 3.9 13.4 12 24 0.5 0.9 38.8 37.7 76.7 0.74 128.9 49.6
E. Stewart E. Stewart G 32 26.5 10.1 3.7 1.1 0.7 0.8 0.8 3.1 12.3 83 25 3.3 5.5 42.0 38.3 57.9 2.44 148.6 53.5
Chimezie Metu Chimezie Metu - 32 18.4 6.6 3.7 0.6 0.6 1.6 1.0 1.9 10.2 7 25 0.3 0.6 53.3 0.0 42.9 -1.76 145.2 53.3
D. Clark D. Clark F 24 11.0 2.3 4.5 0.3 0.2 0.4 0.8 0.7 6.2 40 20 2.0 8.3 37.5 0 46.7 2.9 123.9 37.5
M. Marquetti M. Marquetti F 26 7.1 2.0 1.1 0.4 0.2 0.2 0.2 0.2 3.3 18 21 0.9 6.3 66.7 100.0 66.7 0.96 348.4 83.3
M. Martin M. Martin F 25 6.9 1.9 1.6 0.2 0.2 0.3 0.3 0.4 3.5 2 18 0.1 0.8 30.0 100.0 100.0 -1.01 199.8 35.0
S. Gavrilovic S. Gavrilovic F 18 2.6 1.2 0.2 0.0 0.2 0.1 0.2 0.3 1.2 0 11 0.0 0.0 40.0 0 100.0 -2.21 187.1 40.0
S. Dhillon S. Dhillon F 6 1.3 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.3 - - - - 0 0 0 0.07 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