๐Ÿปโฌ‡๏ธ๐Ÿ€

SMU

Also known as: SMU Mustangs, SMU
Program History

2013 Team Stats (2 games)

75.0
PPG
64.0
Opp
+11.0
Margin
46.5%
FG%
33.3%
3P%
85.0%
FT%
37.0
RPG
10.0
APG
13.5
TO
-
Est. poss./game
60.3
Adj PPG
60.3
Adj Opp PPG
#165
Scoring Rank

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 โ†’ 991 (#178) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 966 (#196) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 936 (#256) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +0.1 (#162) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -0.2 (#173) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.554 (#139) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.7 More โ†’ 0.521 (#155) AdjNet +0.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.7 More โ†’ 0.521 (#155) AdjNet +0.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.3 | AdjD 60.3 More โ†’ 0.501 (#165) AdjO 60.3 | AdjD 60.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.2 | AdjD 61.8 More โ†’ 0.487 (#183) AdjO 61.2 | AdjD 61.8
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 โ†’ 0.469 (#189) 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 โ†’ 0.466 (#191) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 137 | GP 31 More โ†’ 960 (#202) RD 137 | 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Nick Russell Nick Russell G 32 36.2 14.0 3.6 4.3 1.5 0.2 3.8 4.6 15.3 8 25 0.3 0.4 37.0 22.2 82.4 0.66 138.9 39.7
Jalen Jones Jalen Jones G 32 32.4 14.0 7.7 1.0 1.2 0.7 2.2 3.1 19.3 -8 25 -0.3 -0.4 54.0 33.3 73.8 -0.15 177.0 55.0
Ryan Manuel Ryan Manuel G 32 34.1 12.1 4.2 2.3 1.2 0.2 2.4 2.1 15.5 4 25 0.2 0.2 40.9 16.7 82.1 -0.09 203.2 41.7
Cannen Cunningham Cannen Cunningham C 32 32.2 9.3 6.2 1.6 1.1 1.8 2.4 2.3 15.4 -9 25 -0.4 -0.5 45.2 40.0 68.9 -1.34 160.6 46.6
Shawn Williams Shawn Williams F 32 33.8 8.5 5.2 1.7 0.9 0.8 1.5 2.4 13.0 12 25 0.5 0.6 44.9 37.8 73.1 1.58 151.5 55.8
Brian Bernardi Brian Bernardi G 29 12.0 3.8 1.1 0.3 0.2 0.0 0.7 1.1 3.5 19 24 0.8 3.5 54.8 56.5 91.7 -0.97 150.2 75.8
London Giles London Giles G 26 13.8 2.8 1.2 0.7 0.7 0.0 0.9 1.0 3.5 11 20 0.6 1.7 32.0 35.3 75.0 0.88 134.5 44.0
Uche Ofoegbu Uche Ofoegbu G 25 8.4 0.6 1.6 0.3 0.2 0.2 0.3 0.2 2.4 26 19 1.4 7.8 16.7 0 100.0 -0.05 103.1 16.7
Jordan Dickerson Jordan Dickerson C 24 3.8 0.5 1.0 0.1 0.0 0.4 0.2 0.0 1.8 -10 17 -0.6 -7.0 0.0 0 0 -2.07 650.0 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
Kevin Dunleavy Kevin Dunleavy G 4 2.2 0.0 0.0 0.0 0.2 0.0 0.0 0.0 0.2 - - - - 0 0 0 -1.66 0 0
Garrett Wilson Garrett Wilson G 5 1.6 0.0 0.4 0.0 0.2 0.0 0.2 0.2 0.2 - - - - 0.0 0 0 -2.14 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