USC Upstate
Model Outputs
2025-2026
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 → | 1010 (#333) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1021 (#304) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1045 (#195) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.9 (#158) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#28) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.358 (#514) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.988 (#122) | AdjNet +37.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.561 (#362) | AdjNet +2.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.993 (#108) | AdjNet +38.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.559 (#361) | AdjNet +2.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.958 (#71) | AdjO 93.0 | AdjD 58.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.523 (#359) | AdjO 61.6 | AdjD 60.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.784 (#68) | AdjO 68.7 | AdjD 54.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.762 (#159) | 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 → | 0.764 (#150) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1081 (#204) | RD 126 | GP 23 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | @ | Cal Poly | - | Incomplete score |
| 2025-11-08 | @ | Wilmington (OH) | - | Incomplete score |
| 2025-11-09 | vs | Chris. Newport | - | Incomplete score |
| 2025-11-14 | @ | Whittier | - | Incomplete score |
| 2025-11-15 | @ | La Verne | - | Incomplete score |
| 2025-11-17 | @ | Claremont-M-S | - | Incomplete score |
| 2025-11-24 | vs | Occidental | - | Incomplete score |
| 2025-11-25 | vs | Menlo | - | Incomplete score |
| 2025-11-28 | vs | Willamette | - | Incomplete score |
| 2025-11-29 | vs | Cal Lutheran | - | Incomplete score |
| 2025-11-29 | vs | Willamette | - | Incomplete score |
| 2025-12-02 | vs | UC Merced | - | Incomplete score |
| 2025-12-13 | @ | Caltech | - | Incomplete score |
| 2025-12-14 | @ | Cal Lutheran | - | Incomplete score |
| 2025-12-17 | vs | Agnes Scott | - | Incomplete score |
| 2025-12-17 | @ | Whitworth | - | Incomplete score |
| 2025-12-29 | @ | UMass Dartmouth | - | Incomplete score |
| 2025-12-30 | @ | Babson | - | Incomplete score |
| 2026-01-10 | @ | Cal Maritime | - | Incomplete score |
| 2026-01-13 | @ | Simpson (CA) | - | Incomplete score |
| 2026-02-05 | vs | Simpson (CA) | - | Incomplete score |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Emilie Ngo | - | 12 | 35.8 | 15.9 | 4.1 | 6.2 | 2.6 | 0.3 | 3.5 | 12.8 | 12.8 | - | - | - | 46.1 | 32.7 | 70.2 | 3.71 | 54.7 | 51.3 |
| Alexa Litchev | - | 9 | 27.5 | 12.7 | 8.0 | 1.6 | 0.7 | 0.4 | 3.1 | 10.7 | 9.6 | - | - | - | 47.9 | 37.5 | 73.1 | 1.48 | 53.1 | 49.5 |
| Anna Marshall | - | 1 | 30.0 | 11.0 | 2.0 | 0.0 | 2.0 | 0.0 | 3.0 | 14.0 | -2.0 | -19 | -1.1 | -23.7 | 21.4 | 20.0 | 50.0 | -0.44 | 31.4 | 25.0 |
| Te'Niyah Lindsey | - | 1 | 29.0 | 11.0 | 1.0 | 3.0 | 0.0 | 0.0 | 5.0 | 14.0 | -4.0 | - | - | - | 28.6 | 0 | 100.0 | - | 35.9 | 28.6 |
| Claire Galbo | - | 7 | 30.8 | 10.9 | 5.3 | 1.1 | 1.3 | 0.9 | 2.0 | 7.4 | 10.0 | - | - | - | 50.0 | 46.2 | 75.0 | 0.75 | 64.4 | 61.5 |
| Alyssa Jackson | - | 12 | 32.5 | 9.4 | 2.7 | 1.0 | 0.7 | 0.2 | 1.4 | 10.5 | 2.0 | 72 | 3.8 | 23.9 | 30.2 | 31.4 | 62.5 | -1.89 | 43.6 | 42.9 |
| Danielle Tyner | - | 13 | 22.1 | 7.4 | 6.9 | 1.5 | 0.3 | 0.2 | 1.8 | 4.9 | 9.7 | - | - | - | 70.3 | 100.0 | 62.5 | 1.94 | 71.1 | 71.1 |
| Bria Tate | - | 13 | 23.6 | 7.4 | 2.6 | 1.5 | 1.3 | 0.0 | 2.1 | 7.1 | 3.6 | - | - | - | 40.2 | 25.0 | 87.5 | -0.57 | 48.5 | 44.6 |
| Sarah Reuter | - | 12 | 27.2 | 7.3 | 6.4 | 1.8 | 0.7 | 0.7 | 2.8 | 6.0 | 8.1 | - | - | - | 52.8 | 0.0 | 30.0 | 0.55 | 49.1 | 52.8 |
| Moriah Bowles | - | 1 | 32.0 | 6.0 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 9.0 | 2.0 | - | - | - | 22.2 | 33.3 | 0 | 2.28 | 33.3 | 33.3 |
| Jenna Gorton | - | 3 | 22.8 | 5.0 | 4.7 | 2.3 | 0.3 | 0.3 | 2.0 | 6.7 | 4.0 | - | - | - | 25.0 | 0.0 | 83.3 | -0.56 | 33.1 | 25.0 |
| Katie Busch | - | 11 | 16.5 | 3.1 | 2.7 | 0.2 | 0.2 | 0.3 | 1.2 | 3.5 | 1.7 | - | - | - | 33.3 | 29.6 | 0 | -2.97 | 43.6 | 43.6 |
| Lupe Lemus | - | 1 | 22.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 50.0 | 0 | 50.0 | -2.9 | 52.1 | 50.0 |
| Mariah Napoleon | - | 1 | 13.0 | 3.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 6.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
| Cerina Nguyen | - | 1 | 15.0 | 3.0 | 4.0 | 1.0 | 1.0 | 2.0 | 2.0 | 4.0 | 5.0 | - | - | - | 25.0 | 0.0 | 50.0 | - | 30.7 | 25.0 |
| Angie Iheanachor | - | 1 | 19.0 | 2.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | 2.0 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
| Lia Papador | - | 10 | 13.7 | 1.9 | 1.9 | 0.7 | 0.0 | 0.1 | 0.6 | 2.1 | 1.9 | - | - | - | 33.3 | 0.0 | 50.0 | -3.01 | 37.4 | 33.3 |
| Evelyn Sanchez | - | 3 | 4.0 | 1.7 | 0.7 | 0.3 | 0.0 | 0.0 | 0.7 | 1.7 | 0.3 | - | - | - | 40.0 | 25.0 | 0 | 0.17 | 50.0 | 50.0 |
| Monet Dunham | - | 1 | 21.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | -1.0 | -107 | -5.6 | -26.5 | 0.0 | 0 | 0 | -4.04 | 0.0 | 0.0 |
| Harley Wilson | - | 1 | 18.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | 3.0 | 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