UChicago
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 → | 1114 (#56) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1274 (#20) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1236 (#14) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.5 (#20) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.6 (#100) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.744 (#336) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.866 (#187) | NetEff +14.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.972 (#149) | AdjNet +30.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.974 (#150) | AdjNet +30.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.848 (#150) | AdjO 70.6 | AdjD 51.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.837 (#41) | AdjO 62.6 | AdjD 44.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.913 (#61) | 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 → | 0.910 (#49) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1339 (#18) | RD 100 | GP 19 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | St. Norbert | W | 54 - 49 |
| 2025-11-08 | @ | Wis.-Oshkosh | L | 58 - 60 |
| 2025-11-14 | vs | Marian (WI) | W | 84 - 29 |
| 2025-11-16 | vs | Tufts | W | 66 - 57 |
| 2025-11-22 | vs | Rose-Hulman | W | 85 - 54 |
| 2025-11-25 | @ | Carroll (WI) | L | 52 - 73 |
| 2025-11-29 | vs | Elmhurst | L | 0 - 0 |
| 2025-12-16 | vs | Ill. Wesleyan | W | 73 - 54 |
| 2025-12-30 | vs | Albion | W | 79 - 57 |
| 2026-01-10 | vs | WashU | L | 39 - 68 |
| 2026-01-16 | @ | CWRU | W | 52 - 44 |
| 2026-01-18 | @ | Carnegie Mellon | W | 61 - 58 |
| 2026-01-23 | vs | Brandeis | W | 57 - 36 |
| 2026-01-25 | vs | NYU | L | 55 - 67 |
| 2026-01-30 | vs | Rochester (NY) | W | 60 - 53 |
| 2026-02-01 | vs | Emory | W | 54 - 42 |
| 2026-02-06 | @ | Rochester (NY) | W | 61 - 54 |
| 2026-02-08 | @ | Emory | L | 29 - 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Annabelle Spotts | - | 17 | 29.6 | 11.7 | 6.1 | 1.3 | 0.9 | 0.7 | 2.9 | 10.4 | 7.4 | 90 | 4.7 | 14.1 | 42.6 | 33.3 | 74.5 | -0.11 | 49.7 | 44.9 |
| Chris Sanders | - | 17 | 31.3 | 9.5 | 2.6 | 2.0 | 1.4 | 0.4 | 1.8 | 8.6 | 5.6 | 91 | 4.8 | 13.6 | 41.8 | 30.2 | 80.8 | 1.28 | 51.4 | 48.3 |
| Bri Simpson | - | 16 | 21.1 | 7.6 | 4.1 | 1.2 | 1.3 | 0.1 | 2.7 | 7.6 | 3.9 | 69 | 3.8 | 17.2 | 41.0 | 29.6 | 65.0 | 2.44 | 46.3 | 44.3 |
| Kate Gross | - | 17 | 29.4 | 7.6 | 2.1 | 2.1 | 0.8 | 0.6 | 1.9 | 7.6 | 3.8 | 125 | 6.6 | 21.1 | 38.8 | 30.6 | 66.7 | 1.3 | 46.7 | 44.6 |
| Alexis Clark | - | 17 | 15.8 | 6.5 | 4.5 | 0.6 | 0.8 | 0.5 | 1.2 | 6.1 | 5.6 | 80 | 4.2 | 29.3 | 47.6 | 0 | 75.0 | 0.46 | 50.0 | 47.6 |
| Kasi Samuda | - | 17 | 22.7 | 6.4 | 8.9 | 1.8 | 0.8 | 0.9 | 1.4 | 5.2 | 12.2 | 110 | 6.1 | 22.0 | 45.5 | 0 | 72.5 | 1.45 | 51.6 | 45.5 |
| Caroline Workman | - | 17 | 26.9 | 5.2 | 4.2 | 1.7 | 0.9 | 1.0 | 0.9 | 4.4 | 7.8 | 101 | 5.3 | 16.8 | 48.6 | 25.0 | 53.3 | 2.09 | 54.6 | 54.1 |
| Karen Xin | - | 17 | 10.2 | 3.4 | 0.8 | 0.4 | 0.4 | 0.0 | 0.9 | 3.4 | 0.6 | 52 | 2.7 | 43.4 | 36.8 | 40.0 | 25.0 | 1.02 | 48.5 | 49.1 |
| Lindsey Carter | - | 3 | 7.9 | 2.7 | 2.3 | 1.0 | 0.7 | 0.3 | 0.7 | 2.0 | 4.3 | - | - | - | 50.0 | 0 | 100.0 | - | 58.1 | 50.0 |
| Ruiqi Liu | - | 16 | 10.4 | 2.2 | 0.9 | 0.6 | 0.2 | 0.2 | 0.7 | 2.6 | 0.8 | 28 | 1.6 | 30.9 | 29.3 | 20.0 | 100.0 | 0.18 | 40.1 | 35.4 |
| Zora Burrell | - | 5 | 3.5 | 1.6 | 1.2 | 0.4 | 0.2 | 0.0 | 0.2 | 1.6 | 1.6 | - | - | - | 50.0 | 0.0 | 0.0 | - | 47.4 | 50.0 |
| Lauren Miller | - | 6 | 3.6 | 1.5 | 0.8 | 0.2 | 0.3 | 0.0 | 0.2 | 0.8 | 1.8 | 14 | 2.0 | 3360.0 | 60.0 | 0.0 | 75.0 | -0.02 | 66.6 | 60.0 |
| Lauren Strifling | - | 5 | 7.0 | 1.4 | 2.0 | 0.2 | 0.4 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 30.0 | 14.3 | 0 | - | 35.0 | 35.0 |
| Paige Lim | - | 1 | 1.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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