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Cal Poly

Also known as: Cal Poly Mustangs
Program History

2013 Team Stats (3 games)

61.0
PPG
60.0
Opp
+1.0
Margin
41.6%
FG%
31.3%
3P%
67.4%
FT%
35.0
RPG
11.7
APG
9.3
TO
-
Est. poss./game
61.9
Adj PPG
61.3
Adj Opp PPG
#154
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†’ 987 (#180) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1027 (#156) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 1052 (#97) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +0.7 (#152) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -3.1 (#213) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.507 (#165) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.0 More โ†’ 0.500 (#162) AdjNet +0.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.1 More โ†’ 0.498 (#162) AdjNet -0.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.9 | AdjD 61.3 More โ†’ 0.515 (#154) AdjO 61.9 | AdjD 61.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.4 | AdjD 61.3 More โ†’ 0.478 (#194) AdjO 60.4 | AdjD 61.3
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†’ 0.506 (#171) 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†’ 0.498 (#172) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 30 More โ†’ 1010 (#168) RD 114 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ TCU Horned Frogs L 46 - 53
2012-11-15 vs Northern Colorado Bears W 64 - 53
2012-11-19 vs Fresno State Bulldogs L 67 - 76
2012-11-25 @ UCLA Bruins W 70 - 68
2012-12-01 @ Saint Mary's Gaels L 68 - 86
2012-12-08 vs Menlo Oaks W 89 - 43
2012-12-11 @ Nevada Wolf Pack L 56 - 69
2012-12-14 vs Eastern New Mexico Greyhounds W 60 - 57
2012-12-17 @ Santa Clara Broncos L 64 - 72
2012-12-20 @ Washington Huskies L 62 - 75
2012-12-29 @ UC Riverside Highlanders W 58 - 48
2013-01-03 vs Long Beach State Beach W 79 - 73
2013-01-05 vs UC Irvine Anteaters W 72 - 67
2013-01-10 @ UC Davis Aggies L 67 - 69
2013-01-12 @ Pacific Tigers L 55 - 77
2013-01-19 @ UC Santa Barbara Gauchos L 81 - 83
2013-01-24 vs Hawai'i Rainbow Warriors W 88 - 59
2013-01-26 vs Cal State Northridge Matadors W 75 - 64
2013-01-30 @ UC Irvine Anteaters L 45 - 52
2013-02-02 @ Long Beach State Beach L 48 - 50
2013-02-07 vs Pacific Tigers W 67 - 62
2013-02-09 vs UC Davis Aggies W 68 - 53
2013-02-16 vs UC Santa Barbara Gauchos W 67 - 49
2013-02-20 @ Cal State Fullerton Titans L 60 - 77
2013-02-23 vs Loyola Marymount Lions W 63 - 60
2013-02-28 @ Cal State Northridge Matadors W 81 - 61
2013-03-02 @ Hawai'i Rainbow Warriors W 64 - 61
2013-03-07 vs UC Riverside Highlanders W 68 - 62
2013-03-09 vs Cal State Fullerton Titans W 62 - 60
2013-03-14 vs UC Davis Aggies W 64 - 41
2013-03-15 @ Pacific Tigers L 53 - 55
2013-03-20 @ Weber State Wildcats L 43 - 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Chris Eversley Chris Eversley F 30 32.9 15.4 7.0 2.0 0.7 0.1 1.8 4.1 19.3 -9 20 -0.5 -0.6 46.8 41.2 70.4 2.85 156.7 49.6
Dylan Royer Dylan Royer G 32 28.1 10.1 2.4 1.1 0.8 0.1 1.1 2.6 10.9 -33 21 -1.6 -2.4 45.1 51.6 90.0 -0.97 186.3 65.2
Brian Bennett Brian Bennett F 32 23.9 9.3 4.6 0.8 0.4 0.3 0.7 2.4 12.2 -35 21 -1.7 -3.0 54.5 0.0 72.7 0.29 182.7 54.5
Kyle Odister Kyle Odister G 30 17.9 6.5 1.1 0.8 0.5 0.1 0.8 1.6 6.5 -38 19 -2.0 -5.0 36.7 30.6 62.5 -0.94 185.6 48.0
Reese Morgan Reese Morgan G 32 19.1 5.9 2.3 1.1 0.8 0.1 0.4 1.4 8.4 -36 21 -1.7 -4.1 22.7 26.7 93.3 -1.99 185.8 31.8
Drake U'u Drake U'u G 32 21.8 5.3 3.2 2.5 0.6 0.0 1.2 1.1 9.3 -55 21 -2.6 -5.5 40.0 30.0 55.2 -2.48 178.0 44.3
Chris O'Brien Chris O'Brien G 31 20.7 5.1 2.5 1.8 0.5 0.3 1.0 0.9 8.3 -26 21 -1.2 -2.5 58.6 80.0 82.6 -0.19 200.7 72.4
Jamal Johnson Jamal Johnson G 32 23.5 4.4 2.2 3.8 0.9 0.1 1.4 1.5 8.5 -45 21 -2.1 -3.8 30.6 25.0 68.4 -2.55 122.9 33.7
Joel Awich Joel Awich F 24 10.7 2.6 1.8 0.1 0.3 0.5 0.6 0.5 4.2 -20 17 -1.2 -4.9 54.5 20.0 100.0 -1.0 271.0 59.1
Zach Gordon Zach Gordon F 31 8.7 2.2 2.3 0.1 0.3 0.2 0.3 0.4 4.4 -8 20 -0.4 -1.9 58.3 0 66.7 -1.16 216.2 58.3
Anthony Silvestri Anthony Silvestri F 11 2.9 0.7 0.7 0.0 0.0 0.0 0.3 0.3 0.9 -15 7 -2.1 -36.3 66.7 50.0 0 -2.83 133.3 83.3

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