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Cal Poly

Also known as: Cal Poly Mustangs
Program History

2017 Team Stats (1 games)

55.0
PPG
66.0
Opp
-11.0
Margin
34.5%
FG%
31.8%
3P%
88.9%
FT%
31.0
RPG
7.0
APG
15.0
TO
-
Est. poss./game
65.2
Adj PPG
74.1
Adj Opp PPG
#295
Scoring Rank

Model Outputs

2016-2017
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†’ 787 (#299) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 827 (#301) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 944 (#256) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -9.4 (#294) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -9.6 (#299) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.256 (#296) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.6 More โ†’ 0.173 (#299) AdjNet -13.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.6 More โ†’ 0.172 (#299) AdjNet -13.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.2 | AdjD 74.1 More โ†’ 0.308 (#295) AdjO 65.2 | AdjD 74.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.3 | AdjD 72.6 More โ†’ 0.360 (#298) AdjO 66.3 | AdjD 72.6
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†’ 0.261 (#303) 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†’ 0.270 (#306) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 133 | GP 29 More โ†’ 810 (#309) RD 133 | GP 29

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Pepperdine Waves L 68 - 77
2016-11-13 @ Arizona State Sun Devils L 74 - 96
2016-11-17 vs Cal State Dominguez Hills Toros W 75 - 64
2016-11-19 vs Bethesda Flames W 69 - 52
2016-11-23 @ Northern Illinois Huskies W 68 - 64
2016-11-25 vs UIC Flames L 71 - 84
2016-11-26 @ Elon Phoenix L 66 - 72
2016-12-01 vs UTSA Roadrunners W 59 - 47
2016-12-03 vs Texas A&M-Corpus Christi Islanders W 82 - 70
2016-12-10 @ Fresno State Bulldogs L 59 - 73
2016-12-17 @ California Golden Bears L 55 - 81
2016-12-20 @ Washington Huskies L 61 - 77
2016-12-28 @ Grand Canyon Lopes L 64 - 71
2016-12-31 @ Princeton Tigers L 52 - 81
2017-01-07 @ UC Davis Aggies L 64 - 68
2017-01-12 vs Cal State Fullerton Titans L 74 - 87
2017-01-14 @ UC Santa Barbara Gauchos L 53 - 58
2017-01-18 vs UC Irvine Anteaters L 48 - 70
2017-01-21 vs Long Beach State Beach L 92 - 98
2017-01-26 @ UC Irvine Anteaters W 79 - 66
2017-01-28 @ Cal State Fullerton Titans L 71 - 81
2017-02-02 vs UC Davis Aggies W 74 - 70
2017-02-04 vs UC Riverside Highlanders L 56 - 67
2017-02-09 @ Hawai'i Rainbow Warriors L 65 - 74
2017-02-15 @ Cal State Northridge Matadors W 85 - 71
2017-02-18 vs Hawai'i Rainbow Warriors L 61 - 82
2017-02-23 @ Long Beach State Beach W 78 - 71
2017-02-25 @ UC Riverside Highlanders W 84 - 77
2017-03-02 vs Cal State Northridge Matadors W 76 - 70
2017-03-04 vs UC Santa Barbara Gauchos L 44 - 57
2017-03-09 @ UC Davis Aggies L 55 - 66

2017 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%
Josh Martin Josh Martin F 3 28.0 12.3 6.3 2.7 0.7 0.7 1.0 0.0 21.7 - - - - 0 0 0 - 0 0
Donovan Fields Donovan Fields G 15 26.7 11.4 2.5 1.6 1.5 0.1 1.8 1.1 14.2 -149 27 -5.5 -9.2 41.2 60.0 0 -2.1 502.9 50.0
Victor Joseph Victor Joseph G 15 24.2 10.4 1.9 0.8 0.7 0.1 1.3 1.6 10.9 -118 27 -4.4 -7.3 33.3 33.3 80.0 -0.31 297.7 39.6
Ridge Shipley Ridge Shipley G 15 28.6 9.1 1.7 2.7 1.1 0.0 1.8 1.5 11.2 -136 27 -5.0 -7.0 34.8 38.5 100.0 -0.36 276.7 45.7
Jaylen Shead Jaylen Shead G 6 25.7 8.0 4.2 4.7 1.0 0.0 2.2 0.3 15.3 - - - - 0.0 0.0 0 - 1200.0 0.0
Luke Meikle Luke Meikle F 15 24.2 7.7 4.5 0.9 0.3 0.7 0.9 0.5 12.5 -113 26 -4.3 -7.0 37.5 25.0 100.0 -0.14 647.5 43.8
Kyle Toth Kyle Toth G 1 22.0 5.0 5.0 0.0 1.0 0.0 0.0 7.0 4.0 -157 27 -5.8 -9.3 28.6 50.0 0 -1.99 35.7 35.7
Jakub Niziol Jakub Niziol F 11 14.1 3.7 3.0 0.2 0.0 0.1 0.5 0.7 5.7 -40 20 -2.0 -6.4 0.0 0.0 0 -0.2 256.2 0.0
Aleks Abrams Aleks Abrams F 10 12.5 3.3 4.8 0.1 0.0 0.4 0.5 0.0 8.1 -90 23 -3.9 -12.5 0 0 0 -4.53 0 0
Zach Gordon Zach Gordon F 14 14.1 2.9 3.6 0.3 0.4 1.2 0.6 0.7 7.1 -80 26 -3.1 -8.4 50.0 0 75.0 -1.85 174.3 50.0
Josh Mishler Josh Mishler - 6 10.2 2.2 1.3 0.8 0.3 0.0 0.3 0.0 4.3 - - - - 0 0 0 - 0 0
Hank Hollingsworth Hank Hollingsworth F 15 13.7 2.0 2.9 0.1 0.2 1.1 0.7 0.1 5.6 -70 24 -2.9 -11.5 100.0 0 100.0 -4.0 797.9 100.0
Alec Raven Alec Raven - 5 3.2 0.8 0.8 0.0 0.0 0.0 0.0 0.0 1.6 - - - - 0 0 0 - 0 0
Taylor Sutlive Taylor Sutlive G 6 3.7 0.7 0.8 0.0 0.0 0.2 0.2 0.0 1.5 - - - - 0 0 0 - 0 0
Trevor John Trevor John G 7 2.9 0.7 0.1 0.0 0.3 0.0 0.0 0.1 1.0 10 11 0.9 13.7 0.0 0.0 0 1.05 250.0 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