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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

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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