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Cedarville

Also known as: Cedarville
Program History

Model Outputs

2025-2026
Catalog

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 → 872 (#456) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 916 (#406) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 862 (#641) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +1.0 (#210) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +0.8 (#353) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.217 (#481) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +51.6 More → 0.999 (#52) NetEff +51.6
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +0.7 More → 0.524 (#273) NetEff +0.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.1 More → 0.385 (#447) AdjNet -4.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.5 More → 0.397 (#448) AdjNet -3.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.8 | AdjD 68.3 More → 0.442 (#450) AdjO 65.8 | AdjD 68.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.8 | AdjD 62.3 More → 0.468 (#435) AdjO 60.8 | AdjD 62.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.453 (#397) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.437 (#409) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 23 More → 880 (#390) RD 99 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Miami (OH) - Incomplete score
2025-11-14 @ Quincy - Incomplete score
2025-11-15 @ Truman St. - Incomplete score
2025-11-18 @ Central St. (OH) - Incomplete score
2025-11-22 vs Roberts Wesleyan - Incomplete score
2025-11-28 @ Eckerd - Incomplete score
2025-11-29 vs Barry - Incomplete score
2025-12-04 @ Ashland - Incomplete score
2025-12-06 @ Thomas More - Incomplete score
2025-12-11 vs Malone - Incomplete score
2025-12-13 vs Ohio Dominican - Incomplete score
2025-12-17 vs Ohio Christian - Incomplete score
2025-12-20 vs Wheeling - Incomplete score
2026-01-15 @ Hillsdale - Incomplete score
2026-01-17 @ Ursuline - Incomplete score
2026-01-22 vs Northwood - Incomplete score
2026-01-24 @ Ky. Wesleyan - Incomplete score
2026-01-29 @ Lake Erie - Incomplete score
2026-01-31 vs Findlay - Incomplete score
2026-02-05 @ Ohio Dominican - Incomplete score
2026-02-07 vs Thomas More - 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%
Ella Sellars - 20 29.4 12.0 3.7 2.9 1.9 0.1 3.2 9.9 7.5 -32 -1.4 -5.7 40.9 27.0 85.0 -0.75 51.5 43.4
Emma Kay Martin - 20 25.1 11.1 3.8 1.3 1.6 0.1 1.9 13.1 2.8 8 0.4 1.4 32.6 21.5 68.0 0.91 39.0 35.8
Brianna Zajicek - 3 22.2 8.7 6.0 1.0 1.3 0.3 2.0 6.7 8.7 -12 -2.4 -11.1 45.0 33.3 75.0 -1.66 55.3 50.0
Cait Behling - 19 20.8 7.5 4.6 0.9 0.7 0.1 1.0 7.9 4.9 -37 -1.9 -15.0 34.7 27.1 83.3 -1.89 45.0 42.3
Regan Hubert - 20 27.0 7.2 3.9 1.4 1.3 0.0 1.8 7.0 5.0 -66 -2.8 -12.2 37.1 33.0 50.0 -1.24 48.4 47.9
Chloe Downing - 20 25.7 5.5 3.5 2.0 1.4 0.8 1.1 6.8 5.4 27 1.2 5.7 32.6 33.3 62.5 0.54 40.1 39.3
Harmony Laker - 17 14.3 4.8 2.9 0.6 0.6 0.2 1.4 4.5 3.2 7 0.4 4.9 41.6 36.8 66.7 2.78 51.5 50.6
Sarah Loughry - 20 18.5 4.8 3.0 2.2 1.1 0.0 2.0 4.0 5.1 -8 -0.4 -2.3 46.8 15.0 76.0 0.03 53.3 48.7
Jenna Sandel - 14 19.8 4.1 3.2 1.0 0.4 0.1 1.7 3.8 3.4 -17 -1.1 -3.5 45.3 0 47.6 -2.23 46.6 45.3
Elyssa Kincaid - 3 10.3 3.3 3.3 0.0 0.3 0.0 0.7 3.0 3.3 - - - 44.4 0.0 33.3 -0.67 43.0 44.4
Hannah Mayse - 20 14.4 3.1 2.4 0.6 0.9 0.1 0.8 2.9 3.4 32 1.4 14.6 40.4 22.2 68.8 2.28 49.2 45.6
Samantha Toney - 18 8.9 2.7 2.4 0.2 0.1 0.0 0.6 2.6 2.2 -35 -1.7 -22.9 47.8 0 66.7 -0.88 49.3 47.8
Ali Solomon - 5 7.6 2.2 1.2 0.2 0.6 0.2 0.4 2.0 2.0 28 5.6 236.6 40.0 16.7 66.7 2.6 48.6 45.0
Janiek Wesseling - 9 5.5 1.7 1.2 0.3 0.1 0.1 0.3 1.2 1.9 36 4.0 65.3 54.5 100.0 50.0 0.24 58.8 59.1
Braeli Adrian - 3 3.1 0.7 0.3 0.0 0.0 0.0 0.7 0.3 0.0 2 0.7 14.8 100.0 0 0 - 100.0 100.0

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