🐻⬇️🏀

Ithaca

Also known as: Ithaca
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 → 894 (#484) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 935 (#421) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 867 (#641) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -1.4 (#235) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -6.7 (#451) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.797 (#314) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.1 More → 0.538 (#347) NetEff +1.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.5 More → 0.808 (#267) AdjNet +12.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.4 More → 0.812 (#264) AdjNet +12.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.2 | AdjD 59.3 More → 0.651 (#278) AdjO 66.2 | AdjD 59.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.5 | AdjD 63.3 More → 0.414 (#522) AdjO 59.5 | AdjD 63.3
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 → 0.373 (#479) 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 → 0.360 (#496) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 22 More → 829 (#480) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Colgate - Incomplete score
2025-11-11 @ St. John Fisher - Incomplete score
2025-11-13 @ Cortland - Incomplete score
2025-11-15 @ SUNY New Paltz - Incomplete score
2025-11-21 @ Fredonia - Incomplete score
2025-11-22 @ SUNY Brockport - Incomplete score
2025-12-02 vs Rochester (NY) - Incomplete score
2025-12-09 @ William Smith - Incomplete score
2026-01-10 vs Union (NY) - Incomplete score
2026-01-13 vs William Smith - Incomplete score
2026-01-16 vs Rensselaer - Incomplete score
2026-01-17 vs Bard - Incomplete score
2026-01-23 @ Clarkson - Incomplete score
2026-01-24 @ St. Lawrence - Incomplete score
2026-01-30 @ Union (NY) - Incomplete score
2026-01-31 @ RIT - Incomplete score
2026-02-06 vs St. Lawrence - Incomplete score
2026-02-07 vs Clarkson - 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%
Presleigh Brunner - 1 37.0 26.0 6.0 1.0 0.0 0.0 4.0 21.0 8.0 47 2.9 12.5 52.4 28.6 100.0 1.31 59.4 57.1
Tori Drevna - 15 25.9 12.3 5.8 2.9 2.0 0.5 2.8 13.3 7.3 -38 -2.0 -10.2 35.5 34.7 72.7 1.54 43.9 42.0
GILL, Madison - 1 21.0 11.0 0.0 1.0 3.0 0.0 1.0 11.0 3.0 - - - 45.5 33.3 0 - 50.0 50.0
MCNAMARA, Grace - 1 17.0 11.0 4.0 1.0 1.0 0.0 4.0 7.0 6.0 - - - 42.9 0 83.3 - 57.1 42.9
Madison Gill - 15 23.0 9.3 2.3 1.1 0.7 0.1 1.3 9.7 2.5 -22 -1.2 -6.4 37.7 32.3 40.0 -0.45 44.9 44.9
Zoraida Icabalceta - 11 23.4 9.3 3.7 3.3 0.7 0.2 2.0 8.5 6.7 -44 -2.9 -11.7 45.2 27.0 100.0 -0.0 52.8 50.5
Grace McNamara - 15 20.7 7.5 4.6 1.4 0.9 0.3 0.7 6.5 7.5 15 0.8 5.6 45.9 37.5 79.2 0.68 51.6 47.4
Valerosa Gambitta - 1 37.0 7.0 10.0 2.0 2.0 0.0 0.0 9.0 12.0 61 3.6 16.7 33.3 33.3 0 1.28 38.9 38.9
DREVNA, Tori - 1 28.0 7.0 3.0 1.0 0.0 0.0 3.0 12.0 -4.0 - - - 25.0 20.0 0 - 29.2 29.2
Danielle Seamon - 1 28.0 6.0 6.0 4.0 2.0 1.0 3.0 7.0 9.0 13 0.8 5.7 42.9 0.0 0 -1.61 42.9 42.9
Natalie Tucker - 15 19.5 5.2 1.5 1.7 0.7 0.0 0.7 5.3 3.0 -58 -3.1 -24.9 40.0 30.0 83.3 -0.38 47.2 45.6
Hannah Ferguson - 1 33.0 5.0 3.0 2.0 1.0 1.0 1.0 7.0 4.0 51 2.8 16.9 28.6 0.0 50.0 -0.13 31.7 28.6
Mary Bernat - 14 13.8 4.3 3.5 1.3 1.1 0.8 1.7 3.9 5.4 -16 -0.9 -10.6 45.5 0 58.8 -0.06 48.0 45.5
Avery McPeek - 14 18.7 4.1 3.6 0.9 0.4 0.1 1.0 3.4 4.6 -51 -2.8 -18.0 45.8 0.0 72.2 0.86 51.0 45.8
Julia Perales - 1 25.0 4.0 3.0 1.0 0.0 0.0 4.0 4.0 0.0 52 3.7 18.0 25.0 25.0 50.0 3.11 41.0 37.5
Simone Pintinalli - 13 9.1 4.0 1.1 0.3 0.2 0.0 0.8 4.2 0.6 1 0.1 2.1 37.0 36.4 0 -0.13 48.1 48.1
BARROWS, Madalyn - 1 30.0 4.0 1.0 0.0 3.0 0.0 1.0 5.0 2.0 - - - 20.0 0.0 100.0 - 34.0 20.0
Kenzie Perluke - 14 14.2 3.9 2.9 0.9 1.6 0.2 0.5 3.8 5.3 -31 -1.7 -20.4 39.6 18.8 55.6 -0.72 45.1 42.5
Madalyn Barrows - 15 17.7 3.4 2.9 1.0 0.7 0.3 1.7 4.7 1.8 -83 -4.4 -42.9 28.2 16.2 62.5 -2.56 34.2 32.4
PERLUKE, Kenzie - 1 12.0 3.0 1.0 0.0 3.0 1.0 0.0 3.0 5.0 - - - 33.3 0.0 50.0 - 38.7 33.3
BERNAT, Mary - 1 18.0 3.0 4.0 0.0 0.0 1.0 1.0 4.0 3.0 - - - 25.0 0 50.0 - 30.7 25.0
Lily Wohlleber - 10 7.8 2.5 1.6 0.2 0.3 0.0 0.6 1.9 2.1 15 1.2 31.4 63.2 0 16.7 1.99 57.8 63.2
Natalie Mai - 1 18.0 2.0 3.0 1.0 0.0 0.0 6.0 3.0 -3.0 8 0.5 6.6 33.3 0.0 0.0 0.35 25.8 33.3
Payton O'Dell - 1 12.0 2.0 3.0 0.0 0.0 0.0 1.0 3.0 1.0 26 2.4 28.4 33.3 0 0 0.46 33.3 33.3
TUCKER, Natalie - 1 25.0 2.0 2.0 2.0 0.0 0.0 4.0 3.0 -1.0 - - - 33.3 0 0 - 33.3 33.3
MCPEEK, Avery - 1 16.0 2.0 1.0 0.0 0.0 1.0 1.0 1.0 2.0 - - - 0.0 0 100.0 - 53.2 0.0
Aila Dervisevic - 12 14.7 1.7 1.4 1.4 0.4 0.0 0.7 3.7 0.6 23 1.4 18.4 18.2 7.4 33.3 2.42 21.4 20.5
Sonya Benhassen - 3 4.2 1.7 1.0 0.3 0.7 0.7 1.3 2.3 0.7 - - - 28.6 100.0 0 - 35.7 35.7
Emma Phelan - 4 5.8 1.0 0.8 0.2 0.2 0.2 0.0 2.2 0.2 -19 -3.8 -592.2 22.2 0.0 0 - 22.2 22.2
PINTINALLI, Simone - 1 9.0 1.0 0.0 0.0 1.0 0.0 0.0 2.0 0.0 - - - 0.0 0.0 50.0 - 17.4 0.0
Olivia Stevens - 6 5.2 0.8 0.7 0.8 0.7 0.0 0.0 1.0 2.0 20 3.3 623.4 33.3 0.0 33.3 - 34.2 33.3
Megan Cassidy - 4 4.3 0.8 1.5 0.2 0.2 0.0 0.5 0.8 1.5 -19 -4.8 -592.2 33.3 0 33.3 - 34.7 33.3
Kate Mocho - 3 6.2 0.7 1.0 0.0 0.0 0.0 0.0 2.0 -0.3 - - - 16.7 0.0 0 - 16.7 16.7
Lili Shanahan - 5 2.7 0.4 0.4 0.2 0.0 0.0 0.2 1.0 -0.2 -18 -3.6 -561.0 20.0 0.0 0 - 20.0 20.0
Alexa Gibson - 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 35 2.2 78.8 0 0 0 1.07 0 0
Leah Khuu - 1 3.0 0.0 0.0 0.0 1.0 1.0 0.0 0.0 2.0 15 1.9 155.2 0 0 0 3.32 0 0
Breanna Heidt - 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 13 0.8 8.7 0 0 0 0.44 0 0
STEVENS, Olivia - 1 8.0 0.0 0.0 1.0 1.0 0.0 0.0 0.0 2.0 - - - 0 0 0 - 0 0
WOHLLEBER, Lily - 1 6.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
DERVISEVIC, Aila - 1 10.0 0.0 0.0 1.0 0.0 0.0 2.0 1.0 -2.0 - - - 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