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Youngstown St.

Season: 2026 2020 2019 2015 2013
Also known as: Youngstown St.
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1051 (#243) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1001 (#430) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +30.9 (#69) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#20) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +36.8 More → 0.986 (#125) AdjNet +36.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +38.5 More → 0.993 (#107) AdjNet +38.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.9 | AdjD 51.9 More → 0.907 (#117) AdjO 76.9 | AdjD 51.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.3 | AdjD 59.2 More → 0.716 (#112) AdjO 69.3 | AdjD 59.2
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 → 0.930 (#47) 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 → 0.892 (#62) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Thiel W 104 - 33

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%
Casey Santoro - 1 15.1 14.0 5.0 3.0 1.0 0.0 1.0 6.0 16.0 - - - 66.7 80.0 100.0 - 101.7 100.0
Paulina Hernandez - 1 17.2 14.0 5.0 2.0 3.0 3.0 1.0 9.0 17.0 - - - 66.7 0.0 50.0 - 65.1 66.7
Danielle Cameron - 1 18.3 12.0 1.0 1.0 2.0 0.0 0.0 11.0 5.0 - - - 36.4 50.0 33.3 - 48.7 50.0
Faith Burch - 1 20.7 11.0 14.0 1.0 0.0 0.0 3.0 3.0 20.0 - - - 100.0 0 83.3 - 97.5 100.0
Erica King - 1 19.1 9.0 5.0 3.0 3.0 0.0 0.0 7.0 13.0 19 1.9 15.0 57.1 0.0 50.0 0.53 57.1 57.1
Brooke Adkins - 1 19.7 9.0 4.0 1.0 3.0 0.0 0.0 4.0 13.0 - - - 75.0 50.0 66.7 - 84.6 87.5
Sophia Gregory - 1 19.3 9.0 12.0 6.0 3.0 1.0 1.0 7.0 23.0 -24 -3.4 -46.3 42.9 0.0 60.0 -0.59 48.9 42.9
Hayden Barrier - 1 18.5 8.0 1.0 4.0 4.0 0.0 4.0 10.0 3.0 - - - 30.0 20.0 50.0 - 36.8 35.0
Sarah Baker - 1 15.6 6.0 9.0 1.0 1.0 1.0 4.0 5.0 9.0 - - - 60.0 0 0.0 - 51.0 60.0
Bella Samz - 1 14.6 5.0 0.0 0.0 1.0 0.0 3.0 5.0 -2.0 - - - 40.0 25.0 0 - 50.0 50.0
Ashlynn Van Tassell - 1 7.2 4.0 1.0 0.0 0.0 2.0 2.0 4.0 1.0 - - - 50.0 0 0 - 50.0 50.0
Dacia Lewandowski - 1 14.7 3.0 0.0 2.0 3.0 0.0 1.0 3.0 4.0 - - - 33.3 0 50.0 - 38.7 33.3

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