Rockford
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 → | 763 (#475) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 668 (#587) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 755 (#710) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -31.1 (#396) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -36.2 (#687) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.210 (#579) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.005 (#563) | NetEff -34.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.055 (#593) | AdjNet -24.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.049 (#594) | AdjNet -25.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.195 (#590) | AdjO 52.7 | AdjD 68.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.068 (#711) | AdjO 42.9 | AdjD 71.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.025 (#706) | 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 → | 0.027 (#708) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 573 (#570) | RD 114 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-12 | @ | Cornell College | L | 34 - 56 |
| 2025-11-15 | @ | Grinnell | L | 52 - 76 |
| 2025-11-18 | @ | Lawrence | L | 26 - 89 |
| 2025-11-22 | vs | Illinois Col. | L | 40 - 90 |
| 2025-11-24 | vs | Illinois Tech | L | 41 - 47 |
| 2025-12-03 | @ | St. Norbert | L | 39 - 81 |
| 2025-12-13 | vs | Aurora | L | 41 - 95 |
| 2025-12-30 | @ | Judson (IL) | L | 43 - 74 |
| 2026-01-14 | @ | Dominican (IL) | L | 44 - 69 |
| 2026-01-17 | vs | Marian (WI) | W | 60 - 48 |
| 2026-01-21 | vs | St. Norbert | L | 28 - 70 |
| 2026-01-24 | @ | Wis. Lutheran | L | 38 - 81 |
| 2026-01-28 | @ | Benedictine (IL) | L | 42 - 82 |
| 2026-01-31 | vs | Lakeland | L | 60 - 73 |
| 2026-02-04 | vs | Concordia Wisconsin | L | 24 - 80 |
| 2026-02-07 | @ | Edgewood | L | 35 - 78 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Te Simpson | - | 15 | 30.2 | 12.9 | 9.7 | 1.5 | 0.9 | 0.6 | 4.5 | 12.2 | 8.9 | -121 | -6.0 | -40.1 | 41.5 | 10.0 | 43.6 | -0.36 | 43.2 | 41.8 |
| Katie Paredes | - | 12 | 33.7 | 10.4 | 7.6 | 1.7 | 1.3 | 0.4 | 4.8 | 8.8 | 7.8 | 21 | 1.2 | 43.6 | 38.7 | 31.8 | 73.5 | -0.32 | 49.0 | 42.0 |
| Nia Wilkerson | - | 16 | 34.2 | 8.5 | 3.9 | 1.4 | 1.6 | 0.4 | 6.2 | 9.3 | 0.3 | -157 | -7.5 | -44.7 | 30.9 | 27.5 | 66.7 | -4.03 | 40.3 | 35.6 |
| Kyla Wilkerson | - | 8 | 26.4 | 6.0 | 3.2 | 1.2 | 0.5 | 0.0 | 3.4 | 5.4 | 2.2 | -185 | -18.5 | -58.4 | 46.5 | 7.7 | 43.8 | -5.95 | 48.0 | 47.7 |
| Theresa McCarver | - | 16 | 19.9 | 2.9 | 4.4 | 0.4 | 0.9 | 0.1 | 0.9 | 3.4 | 4.4 | -55 | -2.6 | -25.7 | 35.2 | 0.0 | 32.1 | -2.87 | 35.4 | 35.2 |
| Reem Aldi | - | 16 | 18.4 | 2.3 | 0.8 | 0.3 | 0.1 | 0.0 | 2.1 | 5.0 | -3.6 | -27 | -1.3 | -15.5 | 15.0 | 16.4 | 50.0 | -0.95 | 22.2 | 20.6 |
| Maureen Shelton | - | 10 | 24.7 | 1.7 | 1.4 | 0.4 | 0.4 | 0.0 | 4.7 | 3.4 | -4.2 | -169 | -13.0 | -68.4 | 20.6 | 9.1 | 28.6 | -4.46 | 22.9 | 22.1 |
| Sophia Hulsey | - | 13 | 12.6 | 1.4 | 1.0 | 0.2 | 0.2 | 0.0 | 1.2 | 1.8 | -0.2 | -12 | -0.7 | -17.4 | 26.1 | 11.1 | 50.0 | -0.74 | 32.8 | 28.3 |
| Haylee West | - | 13 | 20.1 | 1.0 | 3.6 | 0.2 | 0.3 | 0.7 | 0.9 | 1.5 | 3.4 | -108 | -6.4 | -42.7 | 20.0 | 0.0 | 62.5 | -3.83 | 27.6 | 20.0 |
| Mercedes Morales | - | 10 | 17.4 | 0.9 | 1.3 | 0.6 | 0.3 | 0.1 | 2.1 | 2.6 | -1.5 | -138 | -10.6 | -64.8 | 7.7 | 0.0 | 35.7 | -2.85 | 14.0 | 7.7 |
| Camille Langlet | - | 13 | 4.6 | 0.2 | 0.2 | 0.1 | 0.0 | 0.0 | 0.4 | 0.2 | -0.2 | -32 | -2.5 | -56.1 | 33.3 | 0.0 | 0 | -0.75 | 33.3 | 33.3 |
| Amelia Brodeski | - | 6 | 9.9 | 0.2 | 1.2 | 0.2 | 0.3 | 0.0 | 1.7 | 1.0 | -0.8 | -1 | -0.2 | -3.7 | 0.0 | 0.0 | 50.0 | 0.09 | 7.3 | 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