🐻⬇️🏀

San Francisco

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: San Francisco Dons, San Francisco
Program History
Coach: Todd Golden

2022 Team Stats (5 games)

72.8
PPG
67.4
Opp
+10.3
Margin
42.2%
FG%
35.0%
3P%
65.9%
FT%
33.6
RPG
9.4
APG
11.2
TO
80.3
Pace

Model Outputs

2021-2022
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 → 1214 (#120) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1356 (#68) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 1082 (#75) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +34.0 (#59) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +23.8 (#36) HCA +2.4
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.781 (#9) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.4 More → 0.247 (#198) NetEff -10.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.8 More → 0.813 (#21) AdjNet +12.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.9 More → 0.817 (#20) AdjNet +12.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.3 | AdjD 65.9 More → 0.737 (#22) AdjO 77.3 | AdjD 65.9
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 → 0.909 (#28) 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 → 0.887 (#28) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 121 | GP 30 More → 1240 (#50) RD 121 | GP 30

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-09 vs Long Island University Sharks W 98 - 64
2021-11-11 vs Prairie View A&M Panthers W 92 - 76
2021-11-15 vs Samford Bulldogs W 77 - 55
2021-11-22 vs Morgan State Bears W 83 - 67
2021-11-25 @ Towson Tigers W 71 - 61
2021-11-26 @ UAB Blazers W 63 - 61
2021-12-04 vs UNLV Rebels W 83 - 62
2021-12-08 vs Fresno State Bulldogs W 71 - 63
2021-12-18 @ Grand Canyon Lopes L 48 - 49
2021-12-19 @ Arizona State Sun Devils W 66 - 65
2021-12-22 vs Southern Illinois Salukis W 64 - 52
2021-12-28 vs Academy Of Art University Academy Of Art W 111 - 78
2022-01-13 vs Loyola Marymount Lions W 97 - 73
2022-01-15 vs BYU Cougars L 69 - 71
2022-01-20 @ Gonzaga Bulldogs L 62 - 78
2022-01-22 @ Pepperdine Waves W 71 - 45
2022-01-27 vs Saint Mary's Gaels L 70 - 72
2022-01-29 vs Santa Clara Broncos W 88 - 85
2022-02-03 @ BYU Cougars W 73 - 59
2022-02-05 @ Portland Pilots W 74 - 71
2022-02-08 vs Portland Pilots L 68 - 69
2022-02-10 vs Pepperdine Waves W 105 - 61
2022-02-12 @ Santa Clara Broncos W 74 - 58
2022-02-17 @ Saint Mary's Gaels L 64 - 69
2022-02-21 @ Pacific Tigers W 104 - 71
2022-02-24 vs Gonzaga Bulldogs L 73 - 89
2022-02-26 @ San Diego Toreros W 78 - 62
2022-03-05 vs BYU Cougars W 75 - 63
2022-03-07 @ Gonzaga Bulldogs L 71 - 81
2022-03-17 @ Murray State Racers L 87 - 92

2022 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
J. Bouyea J. Bouyea - 14 38.4 17.6 5.5 3.6 1.5 0.9 1.7 6.3 21.1 - - - 42.0 36.1 72.2 1.94 128.2 49.4
Y. Massalski Y. Massalski - 16 28.8 14.4 10.3 1.2 0.7 2.7 2.4 2.1 24.9 203 6.3 9.5 51.5 100.0 43.8 1.47 288.5 53.0
K. Shabazz K. Shabazz - 30 30.1 13.6 3.1 2.1 1.6 0.0 1.7 3.8 15.1 256 7.5 10.2 35.4 33.3 81.2 1.85 170.4 44.2
G. Stefanini G. Stefanini G 18 24.4 8.1 2.2 1.7 0.8 0.0 2.6 1.5 8.7 202 5.9 9.8 29.6 31.2 66.7 1.59 235.8 38.9
T. Lucas T. Lucas G 3 28.3 7.3 2.7 3.7 0.7 0.0 1.3 0.0 13.0 121 3.6 4.9 0 0 0 1.11 0 0
J. Rishwain J. Rishwain - 18 19.2 6.1 2.8 0.3 0.4 0.0 0.8 2.2 6.5 86 2.5 5.2 48.7 45.8 71.4 -0.31 120.7 62.8
P. Tape P. Tape F 14 24.8 5.4 5.1 0.6 0.9 0.9 0.9 1.2 10.8 145 4.3 8.3 58.8 50.0 60.0 0.44 177.6 61.8
Z. Meeks Z. Meeks - 25 13.0 5.0 2.2 0.6 0.1 0.4 0.4 0.9 6.9 123 4.6 12.5 59.1 50.0 37.5 1.22 246.9 77.3
J. Kunen J. Kunen - 30 19.5 4.2 3.3 0.8 0.6 0.4 0.7 0.9 7.7 - - - 50.0 33.3 50.0 0.43 215.1 59.6
J. Leblanc Sr. J. Leblanc Sr. - 1 16.0 2.0 2.0 0.0 0.0 0.0 0.0 0.0 4.0 - - - 0 0 0 - 0 0
N. Newbury N. Newbury - 10 2.3 1.9 0.5 0.1 0.1 0.2 0.3 0.0 2.5 - - - 0 0 0.0 - 2159.1 0
V. Markovetskyy V. Markovetskyy - 23 6.7 1.7 1.4 0.0 0.1 0.3 0.4 0.2 3.0 - - - 80.0 0 100.0 0.05 295.9 80.0
I. Hawthorne I. Hawthorne - 6 6.2 1.2 0.7 0.5 0.0 0.3 0.2 0.3 2.2 11 1.6 10.9 50.0 0.0 33.3 0.14 105.4 50.0
D. Ryuny D. Ryuny - 3 8.0 1.0 1.0 0.0 0.3 0.0 0.7 0.7 1.0 29 1.5 5.8 50.0 50.0 0 0.2 75.0 75.0
B. Whitaker B. Whitaker - 2 1.5 0.5 0.0 0.0 1.0 0.0 0.0 0.0 1.5 - - - 0 0 0 - 0 0
A. Roy A. Roy G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
M. Dusanic M. Dusanic F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
R. Maitre R. Maitre G 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -81 -2.7 -12.8 0 0 0 -1.11 0 0
M. Silveira M. Silveira C 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 1.02 0 0
A. Smith A. Smith - 1 2.0 0.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 18 2.2 19.4 0 0 0 0.04 0 0
M. Vail M. Vail - 1 8.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 15 0.9 5.5 0 0 0 0.17 0 0
J. Bieker J. Bieker G 1 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 8 0.8 8.8 0 0 0 0.12 0 0
Y. Harvey Y. Harvey G 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -2 -0.1 -0.3 0 0 0 0.12 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