Hardin-Simmons
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 → | 1144 (#30) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1253 (#31) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1179 (#37) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.7 (#25) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +17.1 (#139) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.910 (#237) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.940 (#134) | NetEff +20.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.948 (#169) | AdjNet +25.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.948 (#171) | AdjNet +24.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.813 (#162) | AdjO 77.2 | AdjD 61.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.801 (#59) | AdjO 70.4 | AdjD 55.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.854 (#96) | 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 → | 0.855 (#91) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1257 (#41) | RD 112 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | Texas Lutheran | L | 66 - 72 |
| 2025-11-08 | vs | Schreiner | W | 69 - 31 |
| 2025-11-14 | vs | Berea | W | 73 - 52 |
| 2025-11-15 | @ | Rhodes | W | 81 - 50 |
| 2025-11-21 | vs | Trinity (TX) | W | 67 - 55 |
| 2025-11-29 | @ | Southwestern (TX) | W | 75 - 49 |
| 2025-12-01 | @ | Texas Lutheran | W | 57 - 54 |
| 2025-12-13 | vs | McMurry | W | 75 - 74 |
| 2025-12-28 | vs | Chapman | W | 73 - 57 |
| 2025-12-29 | vs | Concordia-M'head | L | 65 - 67 |
| 2026-01-16 | @ | Claremont-M-S | W | 75 - 71 |
| 2026-01-18 | @ | La Verne | W | 70 - 47 |
| 2026-01-29 | @ | Mary Hardin-Baylor | W | 69 - 56 |
| 2026-01-31 | vs | East Tex. Baptist | W | 60 - 52 |
| 2026-02-04 | vs | Howard Payne | W | 84 - 52 |
| 2026-02-07 | @ | Howard Payne | L | 63 - 65 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jacqueline Berry | - | 15 | 32.9 | 15.0 | 5.7 | 2.7 | 2.6 | 0.7 | 2.2 | 13.9 | 10.6 | 159 | 7.6 | 37.2 | 39.2 | 0.0 | 58.7 | 1.39 | 44.2 | 39.2 |
| Caroline Croft | - | 15 | 28.8 | 8.7 | 4.1 | 4.2 | 1.8 | 0.2 | 1.7 | 7.9 | 9.5 | 116 | 5.8 | 32.7 | 37.0 | 34.3 | 83.8 | 0.65 | 48.4 | 42.0 |
| Dylan Koele | - | 15 | 30.8 | 8.5 | 4.4 | 0.9 | 1.0 | 0.7 | 1.4 | 7.1 | 7.1 | 159 | 7.6 | 41.4 | 40.2 | 40.3 | 68.2 | 2.46 | 54.9 | 52.8 |
| MaeSyn Gay | - | 15 | 19.7 | 7.1 | 4.9 | 1.0 | 1.9 | 1.0 | 0.8 | 7.2 | 7.9 | 105 | 5.0 | 37.4 | 41.7 | 0.0 | 80.0 | 0.5 | 45.4 | 41.7 |
| Avery Cathey | - | 15 | 14.0 | 6.9 | 1.1 | 0.2 | 0.3 | 0.0 | 0.4 | 5.7 | 2.4 | 57 | 3.0 | 42.6 | 41.9 | 41.7 | 50.0 | 0.22 | 59.3 | 59.3 |
| Abbie Crow | - | 15 | 18.2 | 6.3 | 2.1 | 0.5 | 0.3 | 0.2 | 0.7 | 7.1 | 1.7 | 61 | 3.0 | 21.9 | 30.8 | 32.4 | 77.8 | 2.62 | 42.8 | 41.1 |
| Tayley Bullen | - | 15 | 17.2 | 4.9 | 3.2 | 1.2 | 0.5 | 0.2 | 1.1 | 5.3 | 3.6 | 96 | 5.1 | 49.2 | 30.0 | 30.2 | 71.4 | 0.37 | 42.9 | 40.0 |
| Savannah Bennett | - | 15 | 12.3 | 4.5 | 4.5 | 0.5 | 0.9 | 0.5 | 0.6 | 3.5 | 6.7 | 41 | 2.3 | 25.7 | 52.8 | 0 | 68.8 | 2.33 | 55.8 | 52.8 |
| Angie Sacco | - | 14 | 7.3 | 3.1 | 2.3 | 0.1 | 0.2 | 0.0 | 0.4 | 2.2 | 3.2 | 23 | 1.3 | 30.9 | 54.8 | 0 | 90.9 | -0.52 | 61.4 | 54.8 |
| Nilaya Gordon | - | 15 | 10.5 | 2.5 | 0.7 | 1.3 | 0.6 | 0.0 | 0.7 | 3.1 | 1.3 | 62 | 3.3 | 54.5 | 25.5 | 0.0 | 63.6 | 1.49 | 33.5 | 25.5 |
| Gracey Merrell | - | 4 | 4.3 | 2.2 | 1.0 | 0.2 | 0.2 | 0.0 | 1.0 | 1.8 | 1.0 | 5 | 1.0 | 33.1 | 42.9 | 50.0 | 50.0 | 0.37 | 57.1 | 57.1 |
| Kiah Buchanan | - | 8 | 4.8 | 1.2 | 0.9 | 0.4 | 0.1 | 0.1 | 0.2 | 0.8 | 1.8 | 20 | 2.5 | 88.6 | 50.0 | 50.0 | 100.0 | 0.81 | 72.7 | 66.7 |
| Destiny Jamison | - | 8 | 6.1 | 1.1 | 1.6 | 0.4 | 0.1 | 0.1 | 1.0 | 1.2 | 1.1 | 9 | 1.0 | 12.8 | 20.0 | 20.0 | 57.1 | 1.09 | 34.4 | 25.0 |
| Grace Sims | - | 8 | 4.3 | 1.0 | 0.4 | 0.0 | 0.6 | 0.0 | 0.1 | 1.0 | 0.9 | 17 | 1.9 | 61.8 | 37.5 | 0.0 | 100.0 | 1.85 | 45.0 | 37.5 |
| Allie Buchanan | - | 4 | 4.7 | 0.0 | 1.2 | 0.0 | 1.0 | 0.0 | 0.5 | 0.8 | 1.0 | 15 | 2.1 | 120.0 | 0.0 | 0 | 0.0 | 1.24 | 0.0 | 0.0 |
| Reese Cruse | - | 1 | 0.0 | 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