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SMU

Also known as: SMU Mustangs, SMU
Program History

2013 Team Stats (2 games)

75.0
PPG
60.6
Opp
+2.2
Margin
46.5%
FG%
33.3%
3P%
85.0%
FT%
37.0
RPG
10.0
APG
13.5
TO
76.2
Pace

Model Outputs

2012-2013
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 → 1533 (#59) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1403 (#87) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 954 (#487) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +32.9 (#60) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +8.3 (#172) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.487 (#59) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.8 More → 0.861 (#21) NetEff +15.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.3 More → 0.235 (#91) AdjNet -10.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.3 More → 0.233 (#90) AdjNet -10.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.2 | AdjD 61.6 More → 0.514 (#195) AdjO 62.2 | AdjD 61.6
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 → 0.653 (#187) 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 → 0.621 (#192) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 136 | GP 31 More → 1003 (#211) RD 136 | GP 31

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs Loyola Marymount Lions W 73 - 58
2012-11-15 @ TCU Horned Frogs W 64 - 61
2012-11-17 @ Texas State Bobcats W 78 - 75
2012-11-19 vs Malone University Pioneers W 81 - 47
2012-11-21 vs Rider Broncs W 83 - 70
2012-11-24 vs Little Rock Trojans T 0 - 0
2012-11-25 vs Missouri State Bears W 62 - 61
2012-11-28 vs Utah Utes W 62 - 55
2012-12-01 @ Hofstra Pride W 73 - 47
2012-12-15 @ Rhode Island Rams L 50 - 72
2012-12-18 @ Utah Utes L 53 - 62
2012-12-21 @ Wagner Seahawks L 53 - 63
2012-12-22 @ Alcorn State Braves W 67 - 52
2012-12-30 vs Furman Paladins W 72 - 53
2013-01-02 vs Wyoming Cowboys L 56 - 59
2013-01-06 vs Tulsa Golden Hurricane L 47 - 48
2013-01-09 @ Houston Cougars L 67 - 78
2013-01-12 vs Tulane Green Wave W 59 - 53
2013-01-16 vs Southern Miss Golden Eagles L 70 - 74
2013-01-19 @ UTEP Miners L 54 - 63
2013-01-26 @ UCF Knights L 65 - 74
2013-01-30 @ Marshall Thundering Herd W 68 - 57
2013-02-02 vs Houston Cougars L 80 - 84
2013-02-06 vs Memphis Tigers L 52 - 60
2013-02-09 @ Rice Owls W 61 - 39
2013-02-16 @ Tulane Green Wave L 67 - 78
2013-02-23 vs East Carolina Pirates L 69 - 72
2013-02-27 vs Rice Owls W 67 - 55
2013-03-02 @ UAB Blazers L 69 - 74
2013-03-06 @ Tulsa Golden Hurricane W 71 - 65
2013-03-09 vs UTEP Miners L 63 - 76
2013-03-13 @ UAB Blazers L 52 - 53

2013 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
N. Russell N. Russell G 32 36.2 14.0 3.6 4.3 1.5 0.2 3.8 4.6 15.3 89 3.0 3.7 37.0 22.2 82.4 1.11 138.9 39.7
J. Jones J. Jones G 32 32.4 14.0 7.7 1.0 1.2 0.7 2.2 3.1 19.3 166 5.5 17.3 54.0 33.3 73.8 0.93 177.0 55.0
R. Manuel R. Manuel G 32 34.1 12.1 4.2 2.3 1.2 0.2 2.4 2.1 15.5 109 3.4 5.2 40.9 16.7 82.1 0.92 203.2 41.7
C. Cunningham C. Cunningham C 32 32.2 9.3 6.2 1.6 1.1 1.8 2.4 2.3 15.4 56 1.8 3.0 45.2 40.0 68.9 0.44 160.6 46.6
S. Williams S. Williams F 32 33.8 8.5 5.2 1.7 0.9 0.8 1.5 2.4 13.0 93 2.9 4.1 44.9 37.8 73.1 0.69 151.5 55.8
B. Bernardi B. Bernardi G 29 12.0 3.8 1.1 0.3 0.2 0.0 0.7 1.1 3.5 25 0.8 2.1 54.8 56.5 91.7 -0.14 150.2 75.8
L. Giles L. Giles G 26 13.8 2.8 1.2 0.7 0.7 0.0 0.9 1.0 3.5 -13 -0.5 -1.0 32.0 35.3 75.0 -0.23 134.5 44.0
U. Ofoegbu U. Ofoegbu G 25 8.4 0.6 1.6 0.3 0.2 0.2 0.3 0.2 2.4 6 0.2 0.6 16.7 0 100.0 0.16 103.1 16.7
J. Dickerson J. Dickerson C 24 3.8 0.5 1.0 0.1 0.0 0.4 0.2 0.0 1.8 -9 -0.4 -2.0 0.0 0 0 -0.01 650.0 0.0
C. Head C. Head G 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
K. Dunleavy Jr. K. Dunleavy Jr. G 4 2.2 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.2 - - - 0 0 0 0.02 0 0
G. Wilson G. Wilson G 5 1.6 0.0 0.4 0.0 0.2 0.0 0.2 0.2 0.2 10 1.4 10.5 0.0 0 0 0.08 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