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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

2017 Team Stats (16 games)

72.5
PPG
76.9
Opp
-4.4
Margin
42.1%
FG%
35.7%
3P%
75.0%
FT%
33.1
RPG
14.1
APG
11.8
TO
-
Est. poss./game
78.5
Adj PPG
68.6
Adj Opp PPG
#53
Scoring Rank

Model Outputs

2016-2017
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 → 1265 (#48) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1262 (#29) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More → 1099 (#48) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +10.7 (#53) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → +11.6 (#45) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.684 (#70) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.4 More → 0.855 (#55) AdjNet +15.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.5 More → 0.857 (#55) AdjNet +15.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.5 | AdjD 68.6 More → 0.710 (#53) AdjO 78.5 | AdjD 68.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.6 | AdjD 70.0 More → 0.646 (#48) AdjO 76.6 | AdjD 70.0
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 → 0.766 (#47) 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 → 0.756 (#47) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 106 | GP 36 More → 1234 (#42) RD 106 | GP 36

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Montana Grizzlies W 75 - 61
2016-11-13 vs Omaha Mavericks W 82 - 72
2016-11-18 @ Texas A&M Aggies W 65 - 63
2016-11-22 vs LSU New Orleans Privateers W 88 - 54
2016-11-25 vs SMU Mustangs W 78 - 73
2016-11-27 vs UC Santa Barbara Gauchos W 96 - 72
2016-11-30 @ San Diego Toreros W 76 - 55
2016-12-03 vs BYU Cougars W 91 - 84
2016-12-11 vs Pepperdine Waves W 93 - 67
2016-12-17 vs Troy Trojans W 82 - 77
2016-12-19 vs Cornell Big Red W 79 - 67
2016-12-22 vs Missouri State Bears W 83 - 75
2016-12-23 @ Wyoming Cowboys W 94 - 92
2016-12-28 @ Oregon State Beavers W 70 - 63
2016-12-30 @ Oregon Ducks L 61 - 84
2017-01-05 vs Stanford Cardinal W 72 - 56
2017-01-08 vs California Golden Bears L 73 - 74
2017-01-12 @ Utah Utes L 64 - 86
2017-01-15 @ Colorado Buffaloes W 71 - 68
2017-01-19 vs Arizona Wildcats L 66 - 73
2017-01-22 vs Arizona State Sun Devils W 82 - 79
2017-01-25 vs UCLA Bruins W 84 - 76
2017-02-01 @ Washington Huskies W 82 - 74
2017-02-04 @ Washington State Cougars W 86 - 77
2017-02-09 vs Oregon State Beavers W 92 - 66
2017-02-11 vs Oregon Ducks L 70 - 81
2017-02-18 @ UCLA Bruins L 70 - 102
2017-02-23 @ Arizona Wildcats L 77 - 90
2017-02-26 @ Arizona State Sun Devils L 82 - 83
2017-03-01 vs Washington State Cougars W 87 - 64
2017-03-04 vs Washington Huskies W 74 - 58
2017-03-08 vs Washington Huskies W 78 - 73
2017-03-09 @ UCLA Bruins L 74 - 76
2017-03-15 @ Providence Friars W 75 - 71
2017-03-17 @ SMU Mustangs W 66 - 65
2017-03-19 @ Baylor Bears L 78 - 82

2017 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%
B. Boatwright B. Boatwright F 15 28.3 16.1 4.6 1.5 0.3 0.3 1.7 7.1 14.1 44 15 2.9 4.7 41.5 36.2 94.9 3.42 98.2 53.3
Chimezie Metu Chimezie Metu - 30 31.5 14.8 7.9 1.4 0.8 1.5 2.1 6.2 18.1 57 28 2.0 2.8 51.1 0 75.8 0.08 96.9 51.1
J. McLaughlin J. McLaughlin - 30 34.5 13.2 3.7 5.5 1.5 0.1 2.2 6.5 15.4 103 28 3.7 4.6 42.3 44.4 75.9 3.39 90.3 49.5
E. Stewart E. Stewart G 30 30.1 11.4 4.0 1.3 0.7 1.2 1.0 5.5 12.1 90 28 3.2 4.7 43.3 38.5 57.7 1.69 97.5 54.6
D. Melton D. Melton - 16 27.4 7.9 4.2 3.2 1.9 1.1 1.7 6.3 10.4 31 28 1.1 1.8 38.6 28.2 71.7 0.35 51.1 44.1
S. Aaron S. Aaron G 30 20.1 7.0 2.9 1.1 0.3 0.1 1.1 3.2 7.1 10 28 0.4 0.8 32.6 26.1 68.4 -1.94 94.0 38.9
J. Mathews J. Mathews G 30 20.5 6.7 1.7 1.0 1.0 0.1 0.6 4.2 5.7 13 27 0.5 1.0 35.7 33.8 76.5 -1.07 75.7 44.8
N. Rakocevic N. Rakocevic F 30 14.9 5.1 3.6 0.4 0.3 0.6 0.8 1.9 7.4 103 28 3.7 10.4 53.6 0 71.9 3.6 108.4 53.6
C. Buggs C. Buggs F 21 8.9 2.4 2.0 0.2 0.2 0.5 0.4 0.8 4.1 -28 19 -1.5 -6.9 58.8 40.0 66.7 -3.94 139.2 64.7
H. Henderson H. Henderson F 11 3.4 1.3 0.6 0.1 0.0 0.3 0.2 0.7 1.4 12 10 1.2 14.4 50.0 66.7 50.0 0.15 65.8 62.5
K. Karis K. Karis G 10 1.4 0.4 0.1 0.0 0.0 0.0 0.1 0.2 0.2 -1 6 -0.2 -3.4 50.0 0 0 -1.66 100.0 50.0
S. Dhillon S. Dhillon F 4 1.2 0.0 0.5 0.0 0.0 0.0 0.0 0.2 0.2 - - - - 0.0 0.0 0 -1.19 0.0 0.0
D. Fleming D. Fleming G 2 1.5 0.0 1.0 0.0 0.5 0.0 0.0 0.0 1.5 - - - - 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