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Cal Poly

Also known as: Cal Poly Mustangs
Program History

2018 Team Stats (1 games)

53.0
PPG
75.0
Opp
-22.0
Margin
27.5%
FG%
18.8%
3P%
91.7%
FT%
27.0
RPG
11.0
APG
7.0
TO
-
Est. poss./game
65.9
Adj PPG
75.6
Adj Opp PPG
#313
Scoring Rank

Model Outputs

2017-2018
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†’ 674 (#329) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 814 (#300) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 878 (#323) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -10.1 (#308) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -13.2 (#333) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.173 (#328) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.7 More โ†’ 0.140 (#320) AdjNet -15.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -15.8 More โ†’ 0.139 (#320) AdjNet -15.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.9 | AdjD 75.6 More โ†’ 0.293 (#313) AdjO 65.9 | AdjD 75.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.3 | AdjD 76.5 More โ†’ 0.283 (#339) AdjO 66.3 | AdjD 76.5
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†’ 0.206 (#327) 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†’ 0.204 (#328) 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 29 More โ†’ 754 (#320) RD 137 | GP 29

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 @ Stanford Cardinal L 62 - 78
2017-11-12 @ California Golden Bears L 82 - 85
2017-11-15 vs Holy Names University Hawks W 76 - 47
2017-11-18 @ Santa Clara Broncos W 63 - 59
2017-11-22 @ Charleston Cougars W 73 - 68
2017-11-24 @ Central Michigan Chippewas L 53 - 56
2017-11-25 @ Idaho Vandals L 66 - 75
2017-12-02 vs Pepperdine Waves W 91 - 81
2017-12-09 vs Fresno State Bulldogs L 63 - 83
2017-12-12 @ Bethune-Cookman Wildcats L 53 - 67
2017-12-16 vs Princeton Tigers L 60 - 80
2017-12-19 @ SMU Mustangs L 64 - 84
2017-12-21 @ UT Arlington Mavericks L 56 - 77
2017-12-30 vs Notre Dame de Namur Argonauts W 73 - 40
2018-01-04 vs UC Santa Barbara Gauchos W 80 - 79
2018-01-06 vs Cal State Fullerton Titans L 97 - 101
2018-01-10 @ Hawai'i Rainbow Warriors L 45 - 57
2018-01-18 @ UC Irvine Anteaters L 73 - 80
2018-01-20 @ Cal State Northridge Matadors L 54 - 72
2018-01-25 vs Long Beach State Beach L 71 - 87
2018-01-27 @ UC Davis Aggies L 56 - 80
2018-01-31 vs UC Riverside Highlanders W 71 - 68
2018-02-03 vs Hawai'i Rainbow Warriors W 78 - 64
2018-02-08 @ Cal State Fullerton Titans L 59 - 75
2018-02-10 @ Long Beach State Beach L 54 - 73
2018-02-15 vs UC Davis Aggies L 84 - 92
2018-02-17 vs UC Irvine Anteaters L 58 - 75
2018-02-22 vs Cal State Northridge Matadors W 90 - 86
2018-03-01 @ UC Riverside Highlanders L 63 - 72
2018-03-03 @ UC Santa Barbara Gauchos L 61 - 86
2018-03-08 @ UC Santa Barbara Gauchos L 53 - 75

2018 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%
Victor Joseph Victor Joseph G 24 28.3 13.9 2.5 1.7 0.9 0.2 1.7 0.9 16.5 -57 25 -2.3 -3.3 36.4 33.3 91.7 -0.86 612.2 40.9
Donovan Fields Donovan Fields G 24 31.1 12.5 2.8 3.6 1.1 0.1 2.1 1.0 17.0 -76 25 -3.0 -4.0 30.4 20.0 100.0 0.32 605.8 32.6
G. Vincent G. Vincent - 2 25.5 10.5 2.5 4.0 2.0 0.5 0.5 0.0 19.0 - - - - 0 0 0 - 0 0
Josh Martin Josh Martin F 20 20.6 8.8 5.6 1.2 0.2 0.6 1.9 0.7 13.8 -149 19 -7.8 -17.6 28.6 33.3 50.0 -5.5 588.0 32.1
Luke Meikle Luke Meikle F 24 24.5 8.1 4.1 1.3 0.4 0.3 1.0 0.5 12.8 -21 25 -0.8 -1.4 27.3 0.0 100.0 0.71 816.5 27.3
Jakub Niziol Jakub Niziol F 23 17.2 6.1 2.3 0.8 0.5 0.3 0.5 0.5 8.9 -62 25 -2.5 -6.2 18.2 25.0 100.0 -1.88 589.2 27.3
Marcellus Garrick Marcellus Garrick G 22 16.4 5.7 1.6 0.3 0.3 0.1 0.6 0.2 7.3 -22 23 -1.0 -2.4 25.0 0.0 100.0 -1.39 1093.8 25.0
Hank Hollingsworth Hank Hollingsworth F 24 19.1 2.8 3.2 0.1 0.2 1.7 1.0 0.1 6.9 -25 25 -1.0 -2.2 33.3 0 50.0 0.84 863.4 33.3
Trevor John Trevor John G 19 9.3 2.7 0.5 0.5 0.1 0.0 0.2 0.2 3.3 -25 17 -1.5 -7.5 25.0 33.3 0 -0.37 637.5 37.5
Iziah James Iziah James G 21 10.4 2.6 0.9 0.7 0.4 0.0 0.9 0.1 3.7 -40 20 -2.0 -8.5 50.0 100.0 50.0 -1.97 954.9 75.0
Mark Crowe Mark Crowe G 24 16.9 2.3 2.1 0.8 0.7 0.2 0.6 0.2 5.4 -88 25 -3.5 -8.4 60.0 0.0 0 -4.18 560.0 60.0
Karlis Garoza Karlis Garoza F 15 11.9 2.0 2.7 0.6 0.3 0.2 0.9 0.2 4.7 -31 17 -1.8 -6.4 0.0 0 100.0 -0.35 386.6 0.0
Aleks Abrams Aleks Abrams F 18 11.3 1.9 3.4 0.2 0.2 0.3 0.4 0.3 5.3 -39 19 -2.1 -6.4 100.0 0 100.0 -1.75 258.9 100.0
Paulo Cruz Paulo Cruz F 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 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