🐻⬇️🏀

Trinity (CT)

Also known as: Trinity (CT)
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 → 1032 (#163) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1211 (#44) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1093 (#99) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +10.8 (#88) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +4.5 (#288) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.798 (#312) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +8.9 More → 0.778 (#238) NetEff +8.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.9 More → 0.947 (#172) AdjNet +24.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.6 More → 0.947 (#173) AdjNet +24.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.4 | AdjD 54.3 More → 0.784 (#186) AdjO 68.4 | AdjD 54.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 61.6 More → 0.611 (#219) AdjO 66.5 | AdjD 61.6
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 → 0.668 (#242) 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 → 0.669 (#242) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 125 | GP 9 More → 1180 (#77) RD 125 | GP 9

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-23 vs Sewanee W 94 - 65
2026-01-24 vs Wesleyan (CT) W 65 - 45
2026-01-25 vs Centre L 76 - 84
2026-01-30 vs Connecticut Col. W 77 - 62
2026-01-30 @ Sewanee W 80 - 64
2026-01-31 vs Tufts L 55 - 59
2026-02-01 @ Centre W 64 - 53
2026-02-06 vs Rhodes W 88 - 74
2026-02-06 @ Bates L 49 - 69
2026-02-08 vs Millsaps L 0 - 0

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%
Kylie Minter - 6 33.9 16.2 4.0 3.7 3.3 0.0 1.7 12.7 12.8 85 3.9 15.6 43.4 22.7 86.7 2.79 54.4 46.7
Livy Sauvageau - 6 31.8 16.0 1.8 2.3 2.5 0.0 1.8 15.8 5.0 77 4.1 14.9 41.1 32.6 80.0 -0.56 49.4 48.4
Marlo Simms - 4 25.1 11.5 12.0 1.0 0.2 1.0 4.0 10.0 11.8 - - - 55.0 0 50.0 - 55.1 55.0
Ivory Scott - 6 33.1 10.3 6.7 3.5 1.2 0.0 3.0 5.3 13.3 115 5.2 21.5 59.4 61.1 81.2 3.19 79.4 76.6
Melissa Whitmore - 4 23.4 10.2 4.5 1.8 0.0 1.5 2.0 8.2 7.8 - - - 48.5 35.7 80.0 - 58.2 56.1
Skye O'Rourke - 6 23.3 9.5 5.3 0.7 2.0 0.2 2.0 8.5 7.2 82 3.7 21.2 52.9 33.3 22.2 1.91 51.9 53.9
Lucy Dorion - 4 30.7 9.0 1.2 1.5 0.5 1.0 1.2 9.5 2.5 - - - 36.8 40.0 100.0 - 46.3 44.7
Avery Marzo - 4 31.9 8.0 4.0 1.8 2.0 0.0 3.5 8.8 3.5 - - - 31.4 29.4 62.5 - 41.5 38.6
Natalie Greenwood - 6 19.5 7.8 8.0 1.5 0.2 0.5 1.3 7.2 9.5 58 3.4 21.1 48.8 0 55.6 0.27 50.0 48.8
Maya Carnes - 4 31.6 7.8 5.5 4.0 0.5 0.2 1.2 7.0 9.8 - - - 46.4 66.7 50.0 - 53.7 53.6
Allison Even - 6 17.5 6.5 3.5 2.3 0.8 0.3 1.0 6.0 6.5 0 0.0 0.0 41.7 28.6 62.5 0.63 49.3 47.2
Samantha Slofkiss - 4 20.4 5.0 5.8 1.2 0.0 1.0 2.5 2.5 8.0 - - - 30.0 0 87.5 - 58.7 30.0
Kiki Fossbender - 3 14.1 4.7 0.7 0.3 0.7 0.0 0.7 4.0 1.7 - - - 58.3 0.0 0 - 58.3 58.3
Jivana Caceres - 4 4.3 3.8 0.5 0.0 0.5 0.0 0.5 2.0 2.2 -27 -1.8 -27.5 62.5 75.0 100.0 1.19 84.5 81.2
Dana Gingrey - 6 8.9 3.5 0.5 0.8 0.7 0.0 0.3 3.2 2.0 -31 -1.5 -16.7 31.6 41.7 66.7 -2.05 48.5 44.7
Fiona Neilon - 4 10.7 3.5 0.5 0.0 0.2 0.2 1.0 2.5 1.0 - - - 40.0 42.9 75.0 - 59.5 55.0
Emma Winans - 6 10.5 3.3 2.3 0.5 0.3 0.5 1.3 2.3 3.3 32 1.5 14.6 50.0 100.0 55.6 1.54 55.7 53.6
Maddie Mueller - 6 3.6 1.2 0.3 0.5 0.5 0.0 0.2 2.0 0.3 -22 -1.0 -19.4 16.7 11.1 100.0 -1.18 27.2 20.8
Ivie Mehary - 5 2.6 1.2 1.0 0.6 0.2 0.0 0.4 1.0 1.6 -35 -1.8 -73.5 40.0 0 100.0 -1.63 51.0 40.0
Amaya Pendleton - 3 4.4 1.0 0.3 0.0 0.0 0.0 0.3 0.7 0.3 - - - 50.0 100.0 0 - 75.0 75.0
Elaine King - 6 8.3 0.7 1.0 1.0 0.2 0.5 0.3 0.3 2.7 19 1.9 15.0 100.0 0 0 -0.41 100.0 100.0
Michelle Azzun - 3 3.6 0.7 2.0 0.0 0.3 0.0 0.7 0.3 2.0 - - - 0.0 0.0 100.0 - 53.2 0.0
Hannah Boone - 3 2.7 0.7 0.3 0.0 0.0 0.0 0.7 1.3 -1.0 - - - 25.0 0 0 - 25.0 25.0
Jailyn Martin - 6 5.9 0.5 2.2 0.3 1.3 0.2 0.5 1.5 2.5 -39 -1.8 -27.6 11.1 0.0 50.0 0.95 15.2 11.1
Lola Hackradt - 3 0.7 0.0 0.3 0.0 0.3 0.0 0.0 0.3 0.3 14 1.6 173.2 0.0 0 0 0.78 0.0 0.0
Kai Stratton - 4 1.2 0.0 0.0 0.0 0.0 0.0 0.0 0.5 -0.5 -14 -0.8 -111.6 0.0 0 0 -1.55 0.0 0.0
Ava Dixon - 3 0.4 0.0 0.3 0.0 0.0 0.0 0.0 0.0 0.3 0 0.0 0.0 0 0 0 0.8 0 0
Kayla Cuthbertson - 3 2.2 0.0 0.0 0.0 0.0 0.0 0.7 0.3 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Madi Forman - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Sienna Hernandez - 2 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2 0.5 300.0 0 0 0 0.0 0 0
Sophia Almeida - 2 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2 0.5 300.0 0 0 0 0.0 0 0
Kate Pulley - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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