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San Francisco

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: San Francisco Dons, San Francisco
Program History
Coach: Rex Walters

2014 Team Stats (5 games)

73.0
PPG
77.0
Opp
-4.0
Margin
45.4%
FG%
31.3%
3P%
56.1%
FT%
37.0
RPG
12.0
APG
14.2
TO
-
Est. poss./game
72.9
Adj PPG
67.8
Adj Opp PPG
#96
Scoring Rank

Model Outputs

2013-2014
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 → 1170 (#53) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1122 (#84) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 1062 (#88) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +5.6 (#95) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +6.4 (#84) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.565 (#135) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.8 More → 0.733 (#89) AdjNet +8.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.8 More → 0.734 (#89) AdjNet +8.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 67.8 More → 0.612 (#96) AdjO 72.9 | AdjD 67.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.6 | AdjD 64.7 More → 0.588 (#80) AdjO 68.6 | AdjD 64.7
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 → 0.676 (#81) 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 → 0.672 (#80) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 119 | GP 31 More → 1152 (#74) RD 119 | GP 31

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Notre Dame de Namur Argonauts W 95 - 57
2013-11-13 vs Cleveland State Vikings W 91 - 82
2013-11-15 vs Nevada Wolf Pack L 90 - 92
2013-11-18 vs Idaho State Bengals L 90 - 93
2013-11-22 @ Montana Grizzlies W 75 - 74
2013-11-24 @ Oregon Ducks L 82 - 100
2013-11-27 vs Sonoma State Cossacks W 96 - 73
2013-11-29 vs Vermont Catamounts W 72 - 61
2013-11-30 vs Illinois State Redbirds L 76 - 90
2013-12-14 vs Nicholls Colonels W 77 - 48
2013-12-18 @ St. John's Red Storm L 57 - 81
2013-12-22 vs American University Eagles W 77 - 69
2013-12-28 @ Portland Pilots W 87 - 81
2013-12-30 @ Gonzaga Bulldogs L 41 - 69
2014-01-02 vs Loyola Marymount Lions W 75 - 61
2014-01-04 vs Pepperdine Waves W 76 - 66
2014-01-09 @ Pacific Tigers W 81 - 72
2014-01-11 @ Saint Mary's Gaels L 73 - 88
2014-01-16 vs BYU Cougars L 76 - 83
2014-01-18 vs San Diego Toreros W 64 - 62
2014-01-25 vs Santa Clara Broncos W 75 - 66
2014-01-29 vs Portland Pilots W 84 - 71
2014-02-01 vs Gonzaga Bulldogs L 65 - 75
2014-02-06 @ San Diego Toreros W 74 - 67
2014-02-08 @ BYU Cougars L 63 - 68
2014-02-15 @ Santa Clara Broncos W 69 - 63
2014-02-20 vs Saint Mary's Gaels W 73 - 62
2014-02-22 vs Pacific Tigers W 64 - 59
2014-02-27 @ Pepperdine Waves W 77 - 53
2014-03-01 @ Loyola Marymount Lions W 65 - 61
2014-03-08 vs San Diego Toreros W 69 - 60
2014-03-10 @ BYU Cougars L 77 - 79
2014-03-19 vs LSU Tigers L 63 - 71

2014 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%
Cole Dickerson Cole Dickerson F 27 30.3 15.5 7.5 1.9 0.8 0.3 2.0 3.7 20.2 132 28 4.7 6.8 57.0 38.7 48.8 1.8 176.2 63.0
Cody Doolin Cody Doolin G 4 32.2 13.0 1.2 7.0 1.8 0.2 1.5 0.0 21.8 - - - - 0 0 0 - 0 0
Avry Holmes Avry Holmes G 27 31.2 12.5 2.1 2.9 1.1 0.1 2.0 2.8 13.8 159 28 5.7 7.9 42.1 32.3 84.2 4.95 199.7 48.7
Kruize Pinkins Kruize Pinkins F 27 25.4 11.9 6.7 1.0 0.6 0.9 1.5 2.8 16.7 38 28 1.4 2.4 50.0 0.0 56.9 -1.01 163.6 50.0
Mark Tollefsen Mark Tollefsen F 27 28.6 9.9 3.9 1.8 0.5 0.8 1.1 2.2 13.6 103 28 3.7 5.6 54.2 37.5 56.5 1.02 193.9 61.9
Tim Derksen Tim Derksen G 27 22.6 8.6 3.4 1.3 0.7 0.2 1.3 1.8 11.0 -14 28 -0.5 -1.0 55.1 47.4 69.2 -2.71 191.9 64.3
Matt Glover Matt Glover G 27 27.7 7.9 5.5 3.0 1.1 0.2 2.1 2.0 13.6 78 28 2.8 4.4 37.0 12.5 58.5 -0.1 138.4 38.0
Chris Adams Chris Adams G 26 19.3 4.0 1.7 1.0 0.3 0.0 0.5 1.6 4.9 18 28 0.6 1.5 29.3 31.0 0 0.32 125.6 40.2
Corey Hilliard Corey Hilliard G 9 11.7 3.2 1.3 0.4 0.2 0.1 1.3 1.2 2.8 -27 5 -5.4 -21.6 27.3 33.3 75.0 -5.06 113.6 31.8
Matt Christiansen Matt Christiansen F 20 6.1 0.7 0.8 0.2 0.1 0.0 0.3 0.2 1.2 -35 20 -1.8 -13.2 50.0 0 50.0 -4.37 143.4 50.0
Gavin Hoffmann Gavin Hoffmann G 17 3.8 0.6 0.2 0.2 0.1 0.0 0.3 0.2 0.7 -3 17 -0.2 -1.5 33.3 0 0 -2.83 166.7 33.3
Tao Xu Tao Xu C 8 4.9 0.2 0.5 0.1 0.0 0.1 0.8 0.2 0.0 -3 5 -0.6 -3.2 50.0 0 0 -0.43 50.0 50.0
Dominique Williams Dominique Williams - 2 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
David Irby David Irby - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
A. Adams Chris A. Adams Chris - 1 6.0 0.0 1.0 0.0 0.0 0.0 1.0 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