Agnes Scott
Also known as: Agnes Scott
Program History
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 → | 989 (#289) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 957 (#342) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 926 (#587) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -24.3 (#623) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.000 (#727) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#492) | NetEff -44.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#750) | AdjNet -64.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#746) | AdjNet -63.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.027 (#745) | AdjO 43.0 | AdjD 82.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.214 (#659) | AdjO 50.1 | AdjD 64.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.130 (#641) | 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 → | 0.145 (#640) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 939 (#309) | RD 266 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-31 | @ | Middle Georgia | L | 36 - 72 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kaycie Hyde | - | 1 | 28.4 | 9.0 | 0.0 | 0.0 | 3.0 | 0.0 | 3.0 | 8.0 | 1.0 | - | - | - | 37.5 | 25.0 | 66.7 | - | 48.3 | 43.8 |
| Damaris Gaines | - | 1 | 34.6 | 9.0 | 2.0 | 1.0 | 2.0 | 0.0 | 4.0 | 8.0 | 2.0 | - | - | - | 37.5 | 50.0 | 50.0 | - | 46.1 | 43.8 |
| Ava Hendrie | - | 1 | 18.8 | 5.0 | 2.0 | 1.0 | 1.0 | 0.0 | 1.0 | 3.0 | 5.0 | - | - | - | 33.3 | 33.3 | 100.0 | - | 64.4 | 50.0 |
| Cybele Forbes | - | 1 | 19.5 | 5.0 | 3.0 | 0.0 | 0.0 | 4.0 | 3.0 | 1.0 | 8.0 | - | - | - | 100.0 | 0 | 75.0 | - | 90.6 | 100.0 |
| Jonah Wood | - | 1 | 18.9 | 3.0 | 3.0 | 0.0 | 0.0 | 1.0 | 2.0 | 5.0 | 0.0 | - | - | - | 20.0 | 20.0 | 0 | - | 30.0 | 30.0 |
| Triniti Walker | - | 1 | 21.6 | 3.0 | 2.0 | 0.0 | 1.0 | 0.0 | 4.0 | 5.0 | -3.0 | - | - | - | 20.0 | 25.0 | 0 | - | 30.0 | 30.0 |
| Ryley Jolly | - | 1 | 18.3 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 3.0 | -1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
| Lexxi Romero-Williams | - | 1 | 17.5 | 0.0 | 0.0 | 1.0 | 4.0 | 0.0 | 3.0 | 3.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
| Anissa Brailsford | - | 1 | 22.3 | 0.0 | 9.0 | 2.0 | 1.0 | 0.0 | 2.0 | 8.0 | 2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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