San Francisco
2026-2027 Team Stats (2 games)
77.5
PPG
66.0
Opp
+11.5
Margin
45.3%
FG%
37.3%
3P%
63.5%
FT%
38.5
RPG
14.0
APG
12.0
TO
64.9
Est. poss./game
66.9
Adj PPG
69.0
Adj Opp PPG
#172
Scoring Rank
Model Outputs
2026-2027
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 → | 1013 (#132) | Preseason prior 971 (returning production + recruiting): last season 1032, returning -57, transfers -50, freshmen +46 |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1008 (#142) | HCA +224 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1010 (#137) | HCA +223 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.5 (#156) | HCA +1.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.5 (#157) | HCA +1.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.636 (#116) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.518 (#141) | AdjNet +2.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.518 (#141) | AdjNet +2.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.473 (#172) | AdjO 66.9 | AdjD 69.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.474 (#183) | AdjO 66.9 | AdjD 69.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.513 (#143) | 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. More → | 0.513 (#143) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1031 (#132) | RD 199 | GP 2 |
| Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. More → | 0.457 (#172) | Chronological component blend with rest and venue. |
2026-2027 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-11-02 | vs | Radford Highlanders | W | 76 - 62 |
| 2026-11-06 | vs | North Dakota State Bison | W | 79 - 70 |
| 2026-11-10 | vs | Montana Grizzlies | - | Preview |
| 2026-11-14 | vs | Portland State Vikings | - | Preview |
2026-2027 Roster
Estimated Minutes by Position
Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.
| 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Oosterbaan
|
F | 2 | 33.0 | 16.0 | 5.5 | 1.5 | 2.5 | 0.0 | 2.0 | 10.5 | 13.0 | 28 | 2 | 14.0 | 17.0 | 57.1 | 50.0 | 100.0 | 0.36 | 73.1 | 71.4 |
Dylan Bordon
|
G | 2 | 31.0 | 13.0 | 4.0 | 5.5 | 1.0 | 0.0 | 2.0 | 11.0 | 10.5 | 19 | 2 | 9.5 | 12.2 | 36.4 | 18.2 | 61.5 | -0.03 | 46.9 | 40.9 |
Andrew Hilman
|
G | 2 | 17.5 | 12.5 | 4.0 | 0.0 | 0.5 | 0.0 | 0.0 | 6.5 | 10.5 | -4 | 2 | -2.0 | -4.5 | 46.2 | 33.3 | 68.8 | -0.69 | 62.4 | 53.8 |
Gustav Knudsen
|
F | 2 | 31.0 | 11.0 | 4.0 | 2.5 | 1.0 | 2.5 | 1.5 | 7.5 | 12.0 | 18 | 2 | 9.0 | 11.8 | 53.3 | 57.1 | 33.3 | -0.04 | 62.4 | 66.7 |
Ismaila Diagne
|
C | 2 | 30.5 | 10.0 | 8.5 | 1.5 | 1.0 | 1.0 | 2.0 | 6.0 | 14.0 | 30 | 2 | 15.0 | 19.6 | 58.3 | 0 | 60.0 | 0.62 | 61.0 | 58.3 |
Ndewedo Newbury
|
F | 2 | 14.5 | 5.5 | 0.5 | 0.5 | 0.0 | 1.5 | 0.5 | 4.0 | 3.5 | 3 | 2 | 1.5 | 4.1 | 37.5 | 28.6 | 60.0 | 0.02 | 53.9 | 50.0 |
Yoav Vitlem
|
G | 2 | 24.0 | 3.5 | 2.5 | 2.5 | 1.0 | 0.0 | 1.5 | 3.5 | 4.5 | 19 | 2 | 9.5 | 16.2 | 0.0 | 0.0 | 87.5 | 0.45 | 33.3 | 0.0 |
Aidan Braccia
|
G | 2 | 10.0 | 3.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 2.0 | 1.5 | 3 | 2 | 1.5 | 6.1 | 50.0 | 50.0 | 0 | -0.01 | 75.0 | 75.0 |
Jaylen Hunter-Coleman
|
G | 2 | 6.0 | 2.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 1.0 | -1 | 2 | -0.5 | -3.4 | 50.0 | 33.3 | 0 | -0.39 | 62.5 | 62.5 |
Jaroslavs Pihtovs
|
F | 2 | 3.0 | 0.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | 0 | 2 | 0.0 | 0.0 | 0 | 0 | 33.3 | -0.26 | 37.9 | 0 |
Dashel Wiley
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Abdullahi Bashir
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Ziga Daneu
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Wisdom Fode
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Mason Magee
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Adam Tyson
|
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
Alumni in the Pros
Former San Francisco players in NBA 2026-2027, G League 2026-2027, 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 | Last game | Last 30 days |
|---|---|---|---|---|---|---|---|---|---|---|
| Jonathan Mogbo | 2023-24 | NBA | Sacramento Kings | 5 | 14.3 | 3.0 | 2.2 | 0.8 | 11-08 0 pts, 0 reb, 0 ast | 5 GP, 3.0 PPG, 2.2 RPG, 0.8 APG |
| Jamaree Bouyea | 2017-22 | NBA | Phoenix Suns | 4 | 3.6 | 2.0 | 0.5 | 0.8 | 11-05 0 pts, 0 reb, 0 ast | 4 GP, 2.0 PPG, 0.5 RPG, 0.8 APG |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-11-08 | Jonathan Mogbo | NBA | Sacramento Kings | vs Miami Heat | 2 | 0 | 0 | 0 | Box |
| 2026-11-07 | Jonathan Mogbo | G League Play-In | Stockton Kings | vs Santa Cruz Warriors | 32 | 11 | 6 | 4 | Box |
| 2026-11-05 | Jamaree Bouyea | NBA | Phoenix Suns | vs Orlando Magic | 2 | 0 | 0 | 0 | Box |
| 2026-11-04 | Jamaree Bouyea | NBA | Phoenix Suns | vs Portland Trail Blazers | 3 | 3 | 0 | 0 | Box |
| 2026-10-31 | Jonathan Mogbo | NBA | Sacramento Kings | @ Memphis Grizzlies | 25 | 6 | 3 | 3 | Box |
| 2026-10-26 | Jamaree Bouyea | NBA | Phoenix Suns | @ Oklahoma City Thunder | 3 | 2 | 0 | 1 | Box |
2026-2027 Shot Zones
106 located field-goal attempts in 2 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).
Ben OosterbaanGustav KnudsenDylan BordonAndrew HilmanIsmaila DiagneAidan BracciaYoav Vitlem
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 23-38 | 60.5 | 46 | Ismaila Diagne 30% (14 pts) | Ben Oosterbaan 26% (12 pts) | Ismaila Diagne 27% (4 misses) | Andrew Hilman 20% (3 misses) |
| Paint (non-RA) | 3-12 | 25.0 | 6 | Dylan Bordon 33% (2 pts) | Gustav Knudsen 33% (2 pts) | Dylan Bordon 44% (4 misses) | Yoav Vitlem 22% (2 misses) |
| Mid-range left | 1-3 | 33.3 | 2 | Dylan Bordon 100% (2 pts) | - | Yoav Vitlem 100% (2 misses) | - |
| Mid-range center | 1-1 | 100.0 | 2 | Dylan Bordon 100% (2 pts) | - | - | - |
| Mid-range right | 1-1 | 100.0 | 2 | Gustav Knudsen 100% (2 pts) | - | - | - |
| Left corner 3 | 1-3 | 33.3 | 3 | Aidan Braccia 100% (3 pts) | - | Andrew Hilman 50% (1 misses) | Dylan Bordon 50% (1 misses) |
| Right corner 3 | 2-9 | 22.2 | 6 | Aidan Braccia 50% (3 pts) | Andrew Hilman 50% (3 pts) | Ben Oosterbaan 57% (4 misses) | Andrew Hilman 29% (2 misses) |
| Above-break 3 left | 8-21 | 38.1 | 24 | Ben Oosterbaan 50% (12 pts) | Gustav Knudsen 25% (6 pts) | Dylan Bordon 31% (4 misses) | Ndewedo Newbury 31% (4 misses) |
| Above-break 3 center | 2-5 | 40.0 | 6 | Dylan Bordon 50% (3 pts) | Ndewedo Newbury 50% (3 pts) | Dylan Bordon 67% (2 misses) | Ndewedo Newbury 33% (1 misses) |
| Above-break 3 right | 6-13 | 46.2 | 18 | Ben Oosterbaan 33% (6 pts) | Gustav Knudsen 33% (6 pts) | Dylan Bordon 29% (2 misses) | Aidan Braccia 14% (1 misses) |