🐻⬇️🏀

Nichols

Also known as: Nichols
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 → 862 (#503) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 950 (#400) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 938 (#578) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -11.1 (#320) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -12.5 (#522) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.479 (#465) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.0 More → 0.537 (#348) NetEff +1.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.7 More → 0.141 (#522) AdjNet -15.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.3 More → 0.128 (#523) AdjNet -16.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.8 | AdjD 82.2 More → 0.280 (#518) AdjO 71.8 | AdjD 82.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.9 | AdjD 61.1 More → 0.362 (#573) AdjO 54.9 | AdjD 61.1
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 → 0.290 (#538) 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 → 0.294 (#538) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 22 More → 924 (#403) RD 101 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Dean - Incomplete score
2025-11-13 vs WestConn - Incomplete score
2025-11-15 @ Colby-Sawyer - Incomplete score
2025-11-19 @ Endicott - Incomplete score
2025-11-22 vs Rivier - Incomplete score
2025-11-25 vs MIT - Incomplete score
2025-12-02 @ Curry - Incomplete score
2025-12-10 vs Norwich - Incomplete score
2025-12-13 vs Westfield St. - Incomplete score
2025-12-15 @ Mitchell - Incomplete score
2026-01-10 @ Roger Williams - Incomplete score
2026-01-14 vs Western New Eng. - Incomplete score
2026-01-17 vs Hartford - Incomplete score
2026-01-20 @ Suffolk - Incomplete score
2026-01-24 vs U New England - Incomplete score
2026-01-31 vs Endicott - Incomplete score
2026-02-03 @ Wentworth - Incomplete score
2026-02-07 vs Suffolk - 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%
Moreau, Jordan - 1 37.0 19.0 7.0 1.0 1.0 1.0 4.0 11.0 14.0 - - - 63.6 50.0 66.7 - 69.6 68.2
Bono, Allison - 1 40.0 17.0 9.0 6.0 1.0 0.0 3.0 11.0 19.0 - - - 54.5 100.0 100.0 - 66.6 59.1
Alyvia Smith - 17 32.2 16.0 3.8 1.2 1.5 0.2 1.8 15.1 5.8 -14 -0.7 -4.3 37.0 34.9 74.4 0.08 49.6 47.3
Tune, Tatiana - 1 32.0 16.0 3.0 0.0 1.0 0.0 1.0 9.0 10.0 - - - 55.6 0 85.7 0.23 66.2 55.6
Thurman, Ava - 1 38.0 12.0 2.0 3.0 2.0 1.0 2.0 11.0 7.0 - - - 45.5 50.0 50.0 - 50.5 50.0
Summer Klein - 12 20.4 9.5 4.8 1.5 2.2 0.1 1.9 7.7 8.4 - - - 45.7 32.0 75.9 1.76 54.4 50.0
Verdile, Olivia - 1 31.0 9.0 2.0 1.0 0.0 0.0 2.0 10.0 0.0 - - - 30.0 20.0 50.0 - 38.3 35.0
Adriana Romano - 17 27.1 8.0 4.5 3.5 2.2 0.1 3.3 9.9 5.1 -38 -1.9 -14.5 33.3 26.1 51.4 -1.36 37.1 35.1
Dakoda Correira - 1 13.0 8.0 2.0 1.0 0.0 0.0 2.0 5.0 4.0 - - - 60.0 33.3 50.0 - 68.0 70.0
Rylee Barrieault - 17 27.3 7.7 2.8 1.1 1.4 0.1 0.9 8.8 3.4 23 1.1 8.9 31.5 27.6 55.6 2.53 42.8 42.3
Angie Coletti - 17 26.3 5.3 5.3 1.6 1.8 0.9 1.6 6.2 7.0 7 0.3 3.1 34.9 27.3 62.5 1.13 39.8 37.7
Tianna Fernandez - 16 12.4 3.9 2.4 0.6 0.5 0.1 0.9 3.6 3.0 -17 -0.9 -9.4 41.4 0 51.9 -1.52 44.4 41.4
Kya Burdier - 15 16.2 3.2 4.5 0.4 0.4 0.3 0.7 2.5 5.6 -8 -0.4 -3.1 44.7 40.0 70.6 -1.75 52.8 47.4
Berkowitz, Claire - 1 14.0 3.0 0.0 2.0 0.0 0.0 0.0 3.0 2.0 - - - 33.3 50.0 0 - 50.0 50.0
Jaelize Rivera - 17 12.0 2.7 1.1 1.2 0.4 0.2 1.0 3.5 1.1 41 2.0 36.6 27.1 33.3 50.0 2.25 35.3 33.1
Isabella Lopez-Marin - 14 6.6 2.4 1.4 0.1 0.6 0.1 0.7 2.6 1.3 1 0.1 1.2 36.1 0.0 63.6 -0.26 40.4 36.1
Dakoda Correia - 16 14.6 2.1 2.7 0.5 0.8 0.1 1.1 3.1 1.9 21 1.1 23.2 18.0 20.0 69.2 -0.42 29.6 24.0
Jailyn Garvin-Martin - 6 3.6 2.0 0.7 0.2 0.2 0.0 1.0 1.3 0.7 23 1.4 17.3 50.0 60.0 25.0 2.43 61.5 68.8
Avery James - 6 3.0 1.2 0.8 0.2 0.2 0.0 0.2 1.5 0.7 -115 -6.8 -58.6 22.2 14.3 100.0 -2.56 35.4 27.8
Riley Bassett - 4 3.6 1.0 0.5 0.0 0.0 0.5 0.2 1.0 0.8 -15 -3.0 -57.6 50.0 0 0 - 50.0 50.0
Juliana Brimecombe - 13 4.5 0.5 1.2 0.2 0.1 0.1 0.4 0.8 0.9 -45 -3.2 -220.9 18.2 0.0 37.5 -6.66 24.1 18.2
Adison Whitty - 11 7.6 0.4 1.2 0.2 0.5 0.0 0.6 1.5 0.2 - - - 0.0 0.0 33.3 -3.47 9.4 0.0
Mackenzie Reynolds - 11 2.8 0.4 0.2 0.2 0.2 0.0 0.1 0.8 0.0 -3 -0.2 -15.4 22.2 0.0 0 -1.6 22.2 22.2
Meili Gerety - 11 2.5 0.1 0.4 0.0 0.1 0.0 0.3 0.5 -0.2 2 0.2 18.5 0.0 0.0 50.0 - 8.5 0.0
More, Delaney - 1 5.0 0.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 -2 -0.7 -77.4 0 0 0 - 0 0
Brown, Akiyah - 1 3.0 0.0 0.0 0.0 1.0 0.0 2.0 0.0 -1.0 - - - 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