🐻⬇️🏀

Mercy

Also known as: Mercy
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 → 888 (#386) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 730 (#538) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 772 (#599) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -10.3 (#287) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -14.2 (#496) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.129 (#516) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +30.1 More → 0.969 (#141) NetEff +30.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.7 More → 0.104 (#617) AdjNet -18.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.6 More → 0.102 (#616) AdjNet -18.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.4 | AdjD 88.7 More → 0.199 (#627) AdjO 73.4 | AdjD 88.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.8 | AdjD 80.0 More → 0.247 (#566) AdjO 67.8 | AdjD 80.0
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 → 0.170 (#547) 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 → 0.169 (#559) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 20 More → 619 (#508) RD 114 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Holy Family L 85 - 96
2025-11-15 @ Jefferson L 58 - 89
2025-11-19 vs Felician L 55 - 82
2025-11-22 @ Chestnut Hill L 66 - 80
2025-11-26 @ Bryant L 61 - 87
2025-11-30 @ East Stroudsburg L 92 - 98
2025-12-03 @ Staten Island L 79 - 90
2025-12-06 vs Dist. Columbia W 91 - 86
2025-12-09 vs Adelphi L 55 - 77
2025-12-12 vs Daemen L 65 - 83
2025-12-14 vs D'Youville W 103 - 98
2025-12-18 @ Goldey-Beacom L 74 - 96
2025-12-21 @ Franklin Pierce L 75 - 92
2026-01-02 vs Southern Conn. St. L 76 - 79
2026-01-11 @ Roberts Wesleyan L 64 - 84
2026-01-14 @ Dist. Columbia L 61 - 63
2026-01-17 vs Staten Island L 98 - 103
2026-01-21 vs Queens (NY) L 61 - 69
2026-01-24 @ Molloy L 56 - 81
2026-01-31 @ St. Thomas Aquinas L 65 - 84
2026-02-08 vs Roberts Wesleyan 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%
Justin Allen - 1 22.0 24.0 4.0 0.0 1.0 0.0 1.0 14.0 14.0 41 3.2 60.2 78.6 0.0 100.0 2.15 80.6 78.6
Kohen Rowbatham - 17 36.2 21.9 4.1 2.6 1.2 0.1 3.5 19.8 6.6 -114 -6.7 -46.0 41.7 31.8 66.0 -1.48 49.1 45.8
Tre Powell - 1 27.0 18.0 6.0 4.0 1.0 0.0 3.0 9.0 17.0 103 6.1 30.8 55.6 40.0 100.0 0.89 77.3 66.7
Oliver Spence - 1 27.0 17.0 10.0 1.0 0.0 0.0 1.0 15.0 12.0 -87 -7.2 -65.1 53.3 0 50.0 -0.62 53.5 53.3
Amari Dow - 1 30.0 17.0 6.0 2.0 1.0 0.0 1.0 11.0 14.0 -113 -7.1 -26.5 54.5 100.0 50.0 -0.71 66.6 68.2
Jordan Trahan - 15 33.3 15.3 6.7 2.0 2.7 0.5 3.1 12.4 11.7 -67 -4.5 -25.7 44.6 25.0 54.5 -0.19 50.1 47.3
TJ Holloway - 17 34.1 15.2 5.1 2.1 0.4 0.4 2.8 13.2 7.2 -112 -5.9 -42.2 36.0 30.6 81.5 -1.9 48.8 40.9
Michael Harrell - 1 32.0 13.0 4.0 2.0 2.0 0.0 4.0 10.0 7.0 -106 -8.8 -75.9 40.0 40.0 75.0 -1.47 55.3 50.0
Arthur Roache - 1 35.0 11.0 7.0 2.0 2.0 0.0 0.0 10.0 12.0 -47 -3.9 -33.4 40.0 0.0 50.0 -1.22 43.5 40.0
Alejandro Cybak - 1 25.0 10.0 8.0 2.0 1.0 0.0 5.0 9.0 7.0 -172 -10.1 -35.3 44.4 0.0 50.0 -2.38 46.5 44.4
Landon Shivers - 1 14.0 9.0 0.0 0.0 0.0 0.0 1.0 5.0 3.0 -8 -0.5 -3.2 60.0 0.0 75.0 -1.85 66.6 60.0
Tyler Spencer - 1 25.0 9.0 6.0 0.0 2.0 1.0 2.0 6.0 10.0 -60 -3.8 -20.3 66.7 100.0 0 -0.64 75.0 75.0
Anthony Akande - 1 21.0 8.0 4.0 3.0 4.0 1.0 1.0 8.0 11.0 111 7.4 108.0 50.0 0.0 0 1.29 50.0 50.0
Kevon Corley - 1 16.0 8.0 4.0 1.0 1.0 1.0 3.0 6.0 6.0 -62 -4.8 -77.5 50.0 0 66.7 -2.47 54.6 50.0
Malcolm Day - 1 15.0 8.0 2.0 0.0 0.0 0.0 1.0 6.0 3.0 13 0.9 9.3 50.0 50.0 50.0 1.98 58.1 58.3
Ashton Pratt - 17 25.3 6.0 2.5 1.0 1.1 0.2 1.0 6.7 3.0 -131 -7.3 -54.9 34.2 29.3 66.7 -4.04 41.8 39.5
Derek Long - 7 14.3 5.1 1.4 0.4 1.3 0.0 1.6 5.0 1.7 -60 -7.5 -543.4 40.0 43.8 100.0 0.71 50.8 50.0
Jalen Robinson - 1 26.0 5.0 2.0 2.0 0.0 0.0 0.0 3.0 6.0 95 7.3 310.6 66.7 50.0 0 0.21 83.3 83.3
Julian Williams - 1 16.0 4.0 5.0 0.0 0.0 0.0 2.0 7.0 0.0 70 4.4 50.9 28.6 0.0 0.0 0.18 25.4 28.6
David Pope - 1 22.0 4.0 2.0 1.0 0.0 7.0 2.0 2.0 10.0 -44 -4.4 -145.9 50.0 50.0 50.0 -0.73 69.4 75.0
Christopher Nana - 17 12.7 3.1 2.3 0.3 0.3 0.4 0.4 2.2 3.8 -40 -2.2 -26.4 59.5 33.3 87.5 -1.83 64.2 60.8
Adrian Vazquez - 1 3.0 3.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0 - - - 100.0 100.0 0 - 150.0 150.0
Tyrell Miller - 17 17.6 2.9 3.9 0.2 0.7 1.6 0.9 2.8 5.7 -60 -3.3 -31.5 46.8 0 29.4 -3.07 45.0 46.8
Joshua Naklen - 16 10.6 2.2 1.6 0.9 0.4 0.0 0.6 2.7 1.9 -34 -2.0 -25.3 27.9 33.3 90.0 -0.34 36.9 30.2
Christopher Smith - 1 13.0 2.0 8.0 0.0 0.0 0.0 0.0 5.0 5.0 -31 -6.2 -58.1 20.0 0.0 0 -0.27 20.0 20.0
Cam Burns - 1 10.0 2.0 0.0 0.0 1.0 1.0 0.0 2.0 2.0 -11 -1.4 -6.0 50.0 0.0 0 1.52 50.0 50.0
Daniel Boateng - 15 9.9 1.9 2.5 0.1 0.2 0.0 0.7 1.7 2.3 -68 -4.5 -60.4 32.0 14.3 73.3 -0.29 45.9 36.0
James Connolly - 17 11.4 1.9 1.8 0.3 0.3 0.1 0.3 2.2 1.9 -65 -3.4 -33.1 35.1 20.0 45.5 -1.95 38.2 36.5
Jeffrey Mulhern - 18 10.3 1.5 1.9 0.1 0.1 0.0 0.3 2.2 1.1 -39 -2.1 -40.5 25.0 23.1 57.1 0.93 31.3 28.7
Thomas Mandell - 10 5.4 0.9 0.3 0.2 0.2 0.0 0.2 0.9 0.5 -16 -1.8 -45.4 33.3 50.0 0 0.1 50.0 50.0
Keith Brown - 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1 0.3 4.6 0 0 0 0.34 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