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Nevada Wolf Pack

Also known as: Nevada Wolf Pack
Program History

2013 Team Stats (3 games)

68.7
PPG
71.9
Opp
-4.4
Margin
42.4%
FG%
35.7%
3P%
76.1%
FT%
32.0
RPG
15.3
APG
10.0
TO
74.1
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 → 1473 (#80) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1344 (#117) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 907 (#546) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +30.4 (#81) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +4.3 (#238) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.193 (#105) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -16.9 More → 0.153 (#191) NetEff -16.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.9 More → 0.220 (#94) AdjNet -10.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.4 More → 0.209 (#94) AdjNet -11.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.0 | AdjD 69.9 More → 0.413 (#498) AdjO 66.0 | AdjD 69.9
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 → 0.587 (#222) 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 → 0.542 (#242) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 140 | GP 31 More → 1013 (#199) RD 140 | GP 31

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 @ UC Irvine Anteaters L 64 - 78
2012-11-16 vs Cal State Fullerton Titans W 80 - 77
2012-11-17 vs Green Bay Phoenix W 71 - 69
2012-11-18 vs Southern Utah Thunderbirds W 79 - 61
2012-11-24 @ Marshall Thundering Herd L 82 - 89
2012-11-28 vs UC Davis Aggies W 84 - 83
2012-11-30 vs Drake Bulldogs L 66 - 76
2012-12-04 @ Pacific Tigers L 72 - 78
2012-12-08 @ Washington Huskies W 76 - 73
2012-12-11 vs Cal Poly Mustangs W 69 - 56
2012-12-15 vs San Francisco Dons W 59 - 51
2012-12-21 vs Cal State San Marcos Cougars W 84 - 74
2012-12-28 vs Yale Bulldogs W 85 - 75
2012-12-31 @ Oregon Ducks L 43 - 56
2013-01-09 @ Air Force Falcons L 65 - 78
2013-01-12 vs Wyoming Cowboys L 48 - 59
2013-01-19 @ Fresno State Bulldogs W 68 - 61
2013-01-23 vs San Diego State Aztecs L 57 - 78
2013-01-26 vs Boise State Broncos W 75 - 59
2013-01-29 @ UNLV Rebels L 54 - 66
2013-02-02 @ New Mexico Lobos L 62 - 75
2013-02-06 vs Colorado State Rams L 69 - 73
2013-02-09 vs Air Force Falcons W 74 - 69
2013-02-13 @ Wyoming Cowboys L 48 - 68
2013-02-19 vs Fresno State Bulldogs L 64 - 69
2013-02-23 @ San Diego State Aztecs L 75 - 88
2013-02-27 @ Boise State Broncos L 47 - 73
2013-03-02 vs UNLV Rebels L 63 - 80
2013-03-06 vs New Mexico Lobos L 62 - 75
2013-03-09 @ Colorado State Rams L 66 - 77
2013-03-12 @ Wyoming Cowboys L 81 - 85

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. Story M. Story G 31 33.1 16.7 3.4 2.2 1.2 0.1 2.4 2.8 18.4 -87 -2.8 -3.9 44.8 41.9 72.2 -0.08 272.9 55.2
D. Burton D. Burton G 31 34.1 16.3 2.4 3.6 1.4 0.5 2.4 2.4 19.4 - - - 42.5 30.4 81.8 0.34 288.5 47.3
J. Evans, Jr. J. Evans, Jr. G 29 27.0 7.5 5.4 1.2 0.9 0.2 1.4 0.9 13.0 -3 -0.1 -0.2 40.0 12.5 0.0 0.91 428.5 42.0
J. Burris J. Burris G 31 24.2 6.7 4.0 1.4 0.5 0.8 1.3 0.8 11.3 -59 -1.9 -3.4 33.3 30.0 0.0 0.15 423.5 39.6
D. Elliott D. Elliott F 31 16.5 4.9 3.6 0.3 0.4 0.7 1.0 1.0 7.9 -44 -1.4 -3.4 50.0 0.0 57.1 0.08 229.7 50.0
K. Panzer K. Panzer F 31 22.4 4.8 4.3 0.5 0.3 0.5 1.3 0.8 8.2 -51 -1.6 -3.5 52.0 44.4 90.0 0.04 255.1 60.0
M. Coleman M. Coleman G 31 14.0 4.5 1.2 0.9 0.5 0.1 1.4 0.3 5.5 -122 -3.9 -10.7 25.0 0.0 83.3 -0.35 662.6 25.0
C. Huff C. Huff F 30 17.4 4.3 3.3 0.5 0.4 0.3 0.9 0.6 7.3 -33 -1.1 -2.4 38.9 16.7 100.0 0.01 352.5 41.7
C. Fall C. Fall F 22 9.4 1.8 1.6 0.4 0.0 0.0 0.5 0.1 3.2 - - - 0.0 0 0 - 1000.0 0.0
P. Nyeko P. Nyeko G 17 10.7 1.0 0.8 0.7 0.1 0.1 0.2 0.0 2.5 36 2.1 6.8 0 0 0 0.66 0 0
K. Fuetsch K. Fuetsch G 13 5.6 0.9 0.5 0.6 0.2 0.0 0.5 0.2 1.6 35 2.5 12.4 50.0 0.0 0.0 0.62 245.9 50.0
B. Crook B. Crook - 4 1.5 0.5 0.5 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
R. Bell R. Bell F 2 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 -0.15 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