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FDU-Florham

Also known as: FDU-Florham
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 → 1003 (#239) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 932 (#424) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 872 (#635) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -15.6 (#327) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -14.3 (#548) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.218 (#574) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -5.3 More → 0.306 (#414) NetEff -5.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -25.0 More → 0.053 (#599) AdjNet -25.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -26.1 More → 0.044 (#601) AdjNet -26.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.7 | AdjD 75.8 More → 0.188 (#598) AdjO 59.7 | AdjD 75.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.2 | AdjD 68.1 More → 0.290 (#610) AdjO 58.2 | AdjD 68.1
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 → 0.227 (#578) 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 → 0.230 (#584) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 21 More → 885 (#430) RD 98 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs John Jay W 62 - 54
2025-11-11 vs Saint Elizabeth W 78 - 65
2025-11-14 vs Rutgers-Newark W 66 - 57
2025-11-15 @ Rutgers-Camden L 52 - 59
2025-11-22 vs Stockton W 64 - 62
2025-11-25 vs Drew L 46 - 60
2025-12-03 vs Notre Dame (MD) W 68 - 63
2025-12-13 @ Marymount (VA) L 60 - 63
2025-12-20 vs William Smith L 63 - 65
2025-12-29 @ St. Joseph's (L.I.) W 74 - 65
2026-01-10 vs King's (PA) L 52 - 72
2026-01-14 @ Delaware Valley L 55 - 63
2026-01-17 @ Misericordia L 31 - 69
2026-01-21 vs Lebanon Valley L 48 - 64
2026-01-24 vs Stevens L 55 - 72
2026-01-28 @ Arcadia L 41 - 74
2026-01-31 @ King's (PA) L 75 - 83
2026-02-04 vs Delaware Valley W 86 - 70
2026-02-07 vs DeSales L 47 - 66

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%
Shannon Tighe - 19 30.9 12.4 6.3 2.2 1.7 0.9 2.5 12.5 8.6 11 0.6 2.0 37.6 32.9 72.7 1.68 46.0 43.0
Christina Centeno - 19 24.9 9.4 2.6 0.4 0.4 0.1 1.1 9.9 1.9 -24 -1.3 -5.6 38.6 24.7 66.7 -1.12 45.1 43.7
My'Shayla Clancy - 19 17.1 8.6 5.6 1.0 2.1 0.4 2.5 7.4 7.7 -28 -1.5 -11.4 52.1 0.0 40.5 1.91 51.4 52.1
Bianca Sode - 19 29.7 7.5 7.3 1.7 2.1 1.8 1.9 9.8 8.6 46 2.4 10.0 31.6 0.0 55.8 -0.23 34.5 31.6
Christina Sullivan - 19 28.1 7.1 4.2 2.7 1.7 0.4 1.4 6.6 8.0 -56 -2.9 -14.8 36.8 12.5 77.4 -1.97 45.2 37.2
Julia Vazquez - 14 22.9 4.6 1.9 2.1 0.9 0.0 2.3 5.3 1.9 -11 -0.7 -2.5 25.7 40.0 85.2 -0.8 37.8 28.4
Gabrielle Walker - 19 20.0 4.0 1.9 2.3 1.0 0.1 2.3 5.5 1.5 -20 -1.1 -7.6 25.7 13.6 59.4 -3.85 31.9 27.1
Alexa Chapman - 18 14.6 3.4 3.2 1.0 0.7 0.1 1.9 3.8 2.7 33 1.8 16.9 40.6 0 50.0 2.1 41.6 40.6
Kristen Mellon - 16 10.1 2.1 2.0 0.6 0.8 0.2 0.8 2.9 1.9 40 2.5 76.7 31.9 0.0 100.0 1.83 34.9 31.9
Allie Costantino - 5 5.6 1.2 1.2 0.0 0.2 0.0 0.6 1.4 0.6 9 1.3 28.8 42.9 0.0 0 0.32 42.9 42.9
Lucia Giangregorio - 18 5.9 1.0 0.3 0.3 0.2 0.0 0.8 1.7 -0.6 15 0.8 20.5 25.8 6.2 16.7 0.88 26.8 27.4
Mai Purse - 15 2.8 0.5 0.5 0.0 0.1 0.0 0.2 0.4 0.6 -12 -0.9 -18.8 66.7 0 0.0 -0.83 62.1 66.7
Allie Constantino - 2 3.2 0.5 1.0 0.0 0.0 0.0 0.0 1.0 0.5 - - - 0.0 0 50.0 - 17.4 0.0
Briana Sierra - 6 3.2 0.0 0.0 0.0 0.0 0.0 0.2 0.8 -1.0 -11 -1.8 -98.5 0.0 0.0 0.0 -0.47 0.0 0.0
Briana Flatt - 4 4.5 0.0 1.0 0.0 0.0 0.0 0.5 1.0 -0.5 -9 -2.2 -103.8 0.0 0.0 0 -0.87 0.0 0.0
Hayden Bresnan - 4 3.9 0.0 0.0 0.0 0.2 0.0 0.2 0.2 -0.2 8 2.7 96.0 0.0 0.0 0 0.48 0.0 0.0
Jasmine Relovsky - 1 5.0 0.0 2.0 0.0 0.0 0.0 1.0 2.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Riley Flynn - 4 3.0 0.0 0.2 0.0 0.0 0.0 0.2 0.8 -0.8 -3 -0.8 -23.5 0.0 0.0 0 -0.8 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