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UT Martin Skyhawks

Also known as: UT Martin Skyhawks
Program History

2013 Team Stats (2 games)

57.0
PPG
76.5
Opp
-9.6
Margin
30.4%
FG%
29.3%
3P%
65.0%
FT%
33.0
RPG
8.5
APG
12.0
TO
83.3
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 → 1304 (#158) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1193 (#233) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 960 (#478) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +15.5 (#339) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -6.9 (#426) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -30.5 More → 0.020 (#288) NetEff -30.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.8 | AdjD 72.2 More → 0.319 (#576) AdjO 63.8 | AdjD 72.2
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 → 0.338 (#404) 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 → 0.325 (#432) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 161 | GP 30 More → 871 (#472) RD 161 | GP 30

2013 Schedule & Results

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%
M. Taylor M. Taylor F 29 27.8 16.2 7.2 0.7 0.9 0.5 2.1 1.4 22.1 -124 -4.3 -8.2 45.0 0.0 90.9 -0.13 525.2 45.0
M. Liabo M. Liabo G 30 27.1 13.4 3.2 2.2 0.6 0.1 1.9 1.5 16.2 -98 -3.3 -5.2 31.8 30.0 36.4 0.01 412.6 38.6
T. Smith T. Smith G 20 27.8 10.6 3.0 2.3 0.7 0.1 2.6 0.0 14.2 375 11.7 15.5 0 0 0 1.66 0 0
J. Childs J. Childs G 29 24.7 8.4 3.8 1.9 1.3 0.3 2.9 1.0 12.0 -127 -4.4 -8.4 28.6 30.8 100.0 -0.17 399.8 35.7
J. Washington J. Washington F 24 24.5 7.0 4.8 1.4 0.5 0.7 1.1 0.6 12.7 -127 -5.3 -9.9 46.7 0.0 100.0 -0.42 453.6 46.7
B. Jones B. Jones G 27 14.2 5.0 1.9 0.4 0.6 0.2 0.9 1.0 6.2 74 2.5 8.4 48.1 46.2 28.6 0.54 226.1 59.3
B. McLaughlin B. McLaughlin F 29 15.7 3.9 2.9 0.8 0.5 0.2 1.1 0.7 6.4 -109 -3.8 -9.5 25.0 20.0 0.0 -0.42 265.0 27.5
D. Oldham D. Oldham G 28 18.9 3.3 2.6 1.3 1.0 0.1 0.9 0.2 7.2 -142 -5.1 -10.2 42.9 50.0 33.3 -0.8 552.9 57.1
T. Dowdell T. Dowdell F 28 11.5 2.6 2.9 0.2 0.3 0.2 0.4 0.3 5.4 -156 -5.6 -15.7 22.2 0 100.0 -1.35 339.2 22.2
K. Taylor K. Taylor G 22 12.7 1.7 1.3 1.3 0.4 0.1 1.4 0.1 3.3 -52 -2.4 -7.3 50.0 0 0.0 0.13 778.7 50.0
D. Richardson D. Richardson G 24 13.0 1.2 0.8 0.9 0.3 0.0 0.9 0.0 2.5 159 4.5 6.4 0 0 0 2.01 0 0
O. Minor O. Minor G 25 11.1 1.0 0.9 0.8 0.6 0.2 0.6 0.1 2.7 -128 -4.9 -16.0 0.0 0 100.0 -0.85 309.3 0.0
P. Mopo P. Mopo F 11 6.0 0.4 1.5 0.1 0.1 0.0 0.3 0.0 1.7 -15 -1.2 -5.9 0 0 0 0.18 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