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San Francisco

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

2026 Team Stats (33 games)

74.7
PPG
73.2
Opp
+1.5
Margin
43.7%
FG%
34.7%
3P%
71.3%
FT%
36.1
RPG
13.9
APG
10.9
TO
66.6
Est. poss./game
74.7
Adj PPG
71.4
Adj Opp PPG
#119
Scoring 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 โ†’ 1079 (#114) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1029 (#145) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More โ†’ 980 (#210) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More โ†’ +4.0 (#112) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.2 More โ†’ +1.4 (#147) HCA +2.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.506 (#172) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +0.2 More โ†’ 0.506 (#172) NetEff +0.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.3 More โ†’ 0.649 (#114) AdjNet +5.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +5.4 More โ†’ 0.651 (#114) AdjNet +5.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.7 | AdjD 71.4 More โ†’ 0.574 (#119) AdjO 74.7 | AdjD 71.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.7 | AdjD 74.5 More โ†’ 0.481 (#195) AdjO 73.7 | AdjD 74.5
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†’ 0.570 (#130) 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†’ 0.552 (#139) 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 โ†’ 1060 (#125) RD 145 | GP 32

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
2025-12-07 @ Mississippi State Bulldogs W 65 - 62
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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Ryan Beasley Ryan Beasley - 31 33.2 13.6 3.4 4.0 1.2 0.1 1.6 10.2 10.4 14 26 0.5 0.7 40.7 32.7 82.7 0.25 55.8 48.4
David Fuchs David Fuchs F 29 24.0 12.7 7.8 1.4 0.5 0.3 1.9 8.0 12.9 23 25 0.9 1.5 51.7 30.3 64.5 -1.2 58.9 53.9
Tyrone Riley IV Tyrone Riley IV - 31 31.8 12.2 4.8 1.2 1.0 0.5 0.9 9.7 9.2 84 26 3.2 4.1 47.2 36.8 70.7 3.92 56.7 54.2
Junjie Wang Junjie Wang - 33 20.2 8.5 3.0 0.8 0.5 0.3 1.2 6.3 5.5 -39 28 -1.4 -2.8 42.6 34.2 75.3 -2.55 56.8 51.7
Legend Smiley Legend Smiley - 33 21.3 8.1 1.9 0.6 0.5 0.2 0.8 5.8 4.5 24 28 0.9 1.5 45.6 42.0 87.5 0.36 63.2 59.8
Mookie Cook Mookie Cook - 25 20.8 7.6 4.2 1.5 0.7 0.8 1.7 5.8 7.4 45 20 2.2 4.9 44.4 39.7 71.4 1.92 56.6 52.4
Vukasin Masic Vukasin Masic G 33 21.7 5.3 1.6 2.0 0.2 0.1 1.0 5.2 3.1 24 28 0.9 1.7 37.6 29.1 69.6 -0.68 48.9 47.1
Guillermo Diaz Graham Guillermo Diaz Graham F 33 17.2 5.2 3.2 1.3 0.5 0.5 0.8 3.8 6.1 60 28 2.1 4.9 41.7 37.5 69.1 0.71 56.5 52.4
Veniamin Abosi Veniamin Abosi - 24 17.6 5.0 4.1 1.2 0.5 0.4 1.2 3.7 6.2 19 19 1.0 2.2 40.9 40.4 68.3 -0.54 57.1 52.8
Saba Gigiberia Saba Gigiberia - 27 6.1 2.1 2.6 0.6 0.1 0.3 0.4 2.1 3.2 -10 22 -0.5 -3.0 44.6 0.0 34.8 -2.46 43.9 44.6
Weilun Zhao Weilun Zhao - 15 5.1 1.2 0.2 1.0 0.1 0.0 0.5 1.3 0.7 -7 14 -0.5 -4.1 26.3 0.0 72.7 -3.15 37.8 26.3
Aidan Braccia Aidan Braccia G 16 5.6 0.8 0.6 0.2 0.2 0.0 0.1 1.1 0.6 26 14 1.9 13.0 17.6 13.3 66.7 0.47 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 - - - - 33.3 0.0 0.0 -1.57 25.8 33.3
Ndewedo Newbury Ndewedo Newbury F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Isa Silva Isa Silva G 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

Alumni in the Pros

Former San Francisco players in NBA 2026-2027, G League 2025-2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last San Francisco game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.

Active alumni

Player At School League Team GP MPG PPG RPG APG
J. Mogbo 2023-24 NBA Sacramento Kings + G League 14 GP 2 13.1 3.5 1.5 0.5
J. Bouyea 2017-22 NBA Phoenix Suns + G League 1 GP 2 4.9 2.5 1.0 1.5
S. Todorovic 2023-24 G League Texas Legends (2 teams) 25 14.6 6.9 2.5 0.6

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-10-26 J. Bouyea NBA Phoenix Suns @ Oklahoma City Thunder 3 2 0 1 Box
2026-10-25 J. Mogbo NBA Sacramento Kings vs Memphis Grizzlies 18 7 3 1 Box
2026-10-21 J. Mogbo NBA Sacramento Kings @ LA Clippers 8 0 0 0 Box
2026-10-21 J. Bouyea NBA Phoenix Suns @ Portland Trail Blazers 7 3 2 2 Box
2026-10-16 J. Mogbo NBA Preseason Sacramento Kings @ San Antonio Spurs 12 4 4 0 Box
2026-10-16 J. Bouyea NBA Preseason Phoenix Suns vs Utah Jazz 14 12 2 2 Box
2026-03-28 S. Todorovic G League Texas Legends @ Santa Cruz Warriors 2 5 0 0 Box
2026-03-16 S. Todorovic G League Texas Legends vs San Diego Clippers 11 6 0 0 Box
2026-03-14 S. Todorovic G League Texas Legends vs San Diego Clippers 16 2 0 0 Box

2025-2026 Shot Zones

1876 located field-goal attempts in 33 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Fuchs28% Riley23% Riley36% Riley35% Smiley25% Smiley29% Smiley46% Beasley19% Beasley35% Riley24%
Points: who the team's points here most likely come from
Fuchs26% Fuchs19% Beasley37% Beasley27% Riley32% Smiley19% Smiley22% Beasley19% Beasley22% Beasley20%
Misses: who misses most here

Tyrone Riley IVRyan BeasleyDavid FuchsLegend Smiley

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 282-441 63.9 564 David Fuchs 28% (156 pts) Tyrone Riley IV 13% (76 pts) David Fuchs 26% (41 misses) Ryan Beasley 14% (22 misses)
Paint (non-RA) 172-395 43.5 344 Tyrone Riley IV 23% (78 pts) David Fuchs 17% (60 pts) David Fuchs 19% (43 misses) Tyrone Riley IV 16% (36 misses)
Mid-range left 33-85 38.8 66 Tyrone Riley IV 36% (24 pts) Ryan Beasley 30% (20 pts) Ryan Beasley 37% (19 misses) Tyrone Riley IV 25% (13 misses)
Mid-range center 20-42 47.6 40 Tyrone Riley IV 35% (14 pts) Ryan Beasley 25% (10 pts) Ryan Beasley 27% (6 misses) Tyrone Riley IV 27% (6 misses)
Mid-range right 20-57 35.1 40 Legend Smiley 25% (10 pts) Tyrone Riley IV 25% (10 pts) Tyrone Riley IV 32% (12 misses) Ryan Beasley 22% (8 misses)
Left corner 3 38-80 47.5 114 Legend Smiley 29% (33 pts) Guillermo Diaz Graham 16% (18 pts) Legend Smiley 19% (8 misses) Tyrone Riley IV 14% (6 misses)
Right corner 3 24-69 34.8 72 Legend Smiley 46% (33 pts) Tyrone Riley IV 21% (15 pts) Legend Smiley 22% (10 misses) Tyrone Riley IV 20% (9 misses)
Above-break 3 left 103-329 31.3 309 Ryan Beasley 19% (60 pts) Junjie Wang 17% (54 pts) Ryan Beasley 19% (42 misses) Vukasin Masic 18% (40 misses)
Above-break 3 center 55-158 34.8 165 Ryan Beasley 35% (57 pts) Veniamin Abosi 13% (21 pts) Ryan Beasley 22% (23 misses) Junjie Wang 16% (16 misses)
Above-break 3 right 72-220 32.7 216 Tyrone Riley IV 24% (51 pts) Legend Smiley 22% (48 pts) Ryan Beasley 20% (30 misses) Legend Smiley 18% (27 misses)