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San Francisco

Also known as: San Francisco Dons, San Francisco
Program History

2026 Team Stats (32 games)

75.0
PPG
73.5
Opp
+1.5
Margin
43.7%
FG%
35.1%
3P%
71.5%
FT%
35.8
RPG
14.0
APG
11.0
TO
77.8
Pace
76.3
AdjO
72.4
AdjD
#112
Rank

Model Outputs

2025-2026
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 → 981 (#198) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1029 (#150) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 1000 (#192) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 994 (#434) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → +3.4 (#123) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +14.6 (#161) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -22.0 (#623) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.506 (#172) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -0.1 More → 0.498 (#174) NetEff -0.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.3 More → 0.647 (#112) AdjNet +5.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +5.3 More → 0.649 (#112) AdjNet +5.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.3 | AdjD 72.4 More → 0.589 (#112) AdjO 76.3 | AdjD 72.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.4 | AdjD 73.6 More → 0.518 (#215) AdjO 74.4 | AdjD 73.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 74.8 More → 0.431 (#549) AdjO 71.8 | AdjD 74.8
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 → 0.788 (#147) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.183 (#591) 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 → 0.739 (#155) 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 → 0.225 (#591) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 145 | GP 32 More → 1101 (#139) RD 145 | GP 32
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 920 (#420) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs UC Santa Cruz Banana Slugs W 98 - 53
2025-11-08 @ Memphis Tigers L 70 - 76
2025-11-12 vs Portland State Vikings W 80 - 70
2025-11-15 vs Bradley Braves W 75 - 64
2025-11-18 vs Northwestern State Demons W 84 - 64
2025-11-22 @ Minnesota Golden Gophers W 77 - 65
2025-11-27 @ Colorado Buffaloes L 69 - 79
2025-11-28 @ Nevada Wolf Pack L 65 - 81
2025-12-03 vs North Alabama Lions L 63 - 65
2025-12-13 @ Saint Louis Billikens L 75 - 85
2025-12-17 vs Loyola Chicago Ramblers W 85 - 71
2025-12-21 vs Morgan State Bears W 94 - 64
2025-12-28 @ Seattle U Redhawks W 67 - 59
2025-12-30 @ Oregon State Beavers L 62 - 70
2026-01-02 vs San Diego Toreros W 74 - 64
2026-01-04 vs Portland Pilots W 73 - 68
2026-01-08 @ Loyola Marymount Lions L 82 - 84
2026-01-10 @ Pepperdine Waves W 80 - 60
2026-01-13 vs Saint Mary's Gaels L 68 - 82
2026-01-18 vs Washington State Cougars W 85 - 80
2026-01-24 @ Gonzaga Bulldogs L 66 - 68
2026-01-28 @ Santa Clara Broncos L 73 - 88
2026-01-31 vs Pacific Tigers W 87 - 82
2026-02-04 vs Loyola Marymount Lions L 75 - 84
2026-02-07 @ Saint Mary's Gaels L 54 - 79
2026-02-12 vs Oregon State Beavers L 63 - 90
2026-02-15 @ San Diego Toreros W 92 - 79
2026-02-18 vs Gonzaga Bulldogs L 59 - 80
2026-02-21 vs Santa Clara Broncos L 73 - 94
2026-02-28 @ Pacific Tigers W 72 - 61
2026-03-07 vs Portland Pilots W 82 - 65
2026-03-08 @ Oregon State Beavers L 77 - 78

2026 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%
Ry. Beasley Ry. Beasley - 30 33.1 13.7 3.3 4.1 1.2 0.1 1.6 10.2 10.5 43 2.0 2.8 40.8 32.6 82.5 0.16 56.0 48.5
D. Fuchs D. Fuchs F 29 24.0 12.7 7.8 1.4 0.5 0.3 1.9 8.0 12.9 -6 -0.5 -10.7 51.7 30.3 64.5 0.12 58.9 53.9
T. Riley IV T. Riley IV - 30 31.8 12.1 4.8 1.2 1.0 0.4 0.8 9.7 9.0 94 3.5 6.5 46.2 35.7 70.7 0.59 55.8 53.1
J. Wang J. Wang - 32 20.2 8.5 3.0 0.8 0.5 0.3 1.2 6.2 5.6 -13 -0.5 -1.6 42.5 35.5 75.9 -0.58 57.3 52.0
Legend Smiley Legend Smiley - 32 21.6 8.2 1.9 0.6 0.5 0.2 0.8 5.9 4.6 -5 -0.4 -23.2 45.7 42.5 87.5 -0.15 63.5 60.1
M. Cook M. Cook - 24 20.5 7.6 3.9 1.3 0.7 0.8 1.8 5.6 6.9 39 2.4 5.2 45.5 41.8 71.2 0.23 58.0 54.1
V. Masic V. Masic G 32 21.5 5.3 1.6 2.0 0.2 0.1 1.1 5.1 3.0 15 0.9 13.3 38.0 28.8 69.6 0.05 49.1 47.2
V. Abosi V. Abosi - 23 18.2 5.3 4.3 1.2 0.5 0.4 1.3 3.8 6.5 16 0.7 2.1 41.4 41.2 68.3 -0.39 57.6 53.4
G. Diaz Graham G. Diaz Graham F 32 17.0 5.2 3.1 1.3 0.5 0.5 0.8 3.8 6.1 41 2.4 84.5 41.3 39.1 71.7 0.09 57.2 52.5
S. Gigiberia S. Gigiberia - 26 5.9 2.2 2.5 0.6 0.2 0.3 0.4 2.0 3.2 29 1.4 11.4 45.3 0.0 34.8 0.02 44.4 45.3
Weilun Zhao Weilun Zhao - 15 5.1 1.2 0.2 1.0 0.1 0.0 0.5 1.3 0.7 2 0.2 2.0 26.3 0.0 72.7 -0.01 37.8 26.3
A. Braccia A. Braccia G 16 5.6 0.8 0.6 0.2 0.2 0.0 0.1 1.1 0.6 14 1.3 13.0 17.6 13.3 66.7 -0.14 30.5 23.5
Sean Blakely Drummond Sean Blakely Drummond G 5 2.0 0.4 0.4 0.0 0.0 0.2 0.2 0.6 0.2 -3 -1.0 -39.8 33.3 0.0 0.0 0.01 25.8 33.3
I. Silva I. Silva G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
N. Newbury N. Newbury F 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