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Bryant Bulldogs

Also known as: Bryant Bulldogs
Program History

2026 Team Stats (25 games)

60.6
PPG
55.1
Opp
+5.5
Margin
39.6%
FG%
31.6%
3P%
69.7%
FT%
36.7
RPG
13.8
APG
14.6
TO
78.3
Pace
60.7
AdjO
62.1
AdjD
#181
Rank

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 โ†’ 1021 (#171) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 985 (#184) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +113 elo More โ†’ 997 (#259) HCA +113 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More โ†’ -1.2 (#179) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +12.4 (#169) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.741 (#92) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.1 More โ†’ 0.793 (#84) NetEff +10.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -1.6 More โ†’ 0.455 (#180) AdjNet -1.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -1.7 More โ†’ 0.451 (#181) AdjNet -1.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.7 | AdjD 62.1 More โ†’ 0.469 (#181) AdjO 60.7 | AdjD 62.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.9 | AdjD 56.6 More โ†’ 0.574 (#152) AdjO 59.9 | AdjD 56.6
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 โ†’ 0.736 (#180) 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 โ†’ 0.702 (#178) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 155 | GP 25 More โ†’ 1011 (#206) RD 155 | GP 25

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Cornell Big Red W 64 - 38
2025-11-11 @ Marist Red Foxes W 66 - 56
2025-11-19 @ Merrimack Warriors W 80 - 73
2025-11-26 @ Boston University Terriers W 83 - 56
2025-11-30 @ Providence Friars L 53 - 62
2025-12-03 @ Yale Bulldogs L 48 - 61
2025-12-07 vs Holy Cross Crusaders L 41 - 53
2025-12-19 vs Georgian Court University Lions W 94 - 26
2026-01-01 vs New Hampshire Wildcats W 45 - 31
2026-01-03 vs Maine Black Bears W 82 - 73
2026-01-08 @ UMass Lowell River Hawks W 80 - 38
2026-01-10 vs UAlbany Great Danes W 62 - 55
2026-01-15 @ UMBC Retrievers L 47 - 55
2026-01-17 vs NJIT Highlanders L 65 - 78
2026-01-24 @ Vermont Catamounts L 53 - 71
2026-01-29 vs Binghamton Bearcats L 64 - 66
2026-01-31 @ New Hampshire Wildcats W 51 - 45
2026-02-05 @ UAlbany Great Danes W 50 - 44
2026-02-07 @ Maine Black Bears L 56 - 64
2026-02-12 vs UMass Lowell River Hawks W 77 - 36
2026-02-14 vs Vermont Catamounts L 45 - 52
2026-02-19 @ Binghamton Bearcats W 63 - 60
2026-02-26 vs UMBC Retrievers L 59 - 65
2026-02-28 @ NJIT Highlanders L 42 - 75
2026-03-05 @ Binghamton Bearcats L 44 - 45

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%
N. Scott N. Scott F 25 31.5 11.8 9.0 1.4 1.2 0.6 2.0 9.2 12.8 112 4.9 6.4 50.7 0 74.1 0.2 55.4 50.7
M. Mancini M. Mancini G 25 32.3 10.8 4.7 3.7 1.1 0.2 2.5 11.2 6.8 86 3.7 4.4 30.4 28.9 80.3 -0.99 43.4 38.0
M. Rubino M. Rubino G 25 32.1 10.6 4.0 1.6 1.0 0.2 1.6 11.3 4.5 94 3.9 5.1 34.4 35.2 67.5 2.33 44.2 42.2
M. Nyborg M. Nyborg F 25 29.3 9.4 3.9 1.7 0.7 1.0 2.2 8.6 5.8 50 2.2 2.8 47.2 0.0 75.6 -0.34 50.2 47.2
I. Adams I. Adams G 25 22.5 7.1 3.6 1.6 0.8 0.2 1.6 6.3 5.4 51 2.2 4.8 40.1 39.1 63.4 -2.13 50.6 48.1
A. Lindsey A. Lindsey G 14 11.8 5.9 0.9 0.7 0.4 0.1 0.9 4.8 2.3 11 0.8 3.0 41.8 25.0 71.9 -1.1 50.6 44.0
M. Boba M. Boba G 23 26.3 4.3 2.5 1.7 1.3 0.0 1.7 4.6 3.5 108 4.7 7.6 38.1 26.5 45.5 1.44 44.6 44.3
J. Guerra J. Guerra G 6 5.7 2.7 0.2 0.0 0.2 0.0 0.2 2.0 0.8 33 4.7 222.5 41.7 50.0 100.0 -0.99 62.1 58.3
R. Nelson R. Nelson F 24 16.7 2.2 3.1 1.3 0.6 0.4 1.2 2.2 4.2 50 2.3 5.8 46.2 0 23.5 -0.21 43.7 46.2
A. Campbell A. Campbell G 5 4.6 1.4 1.4 0.0 0.0 0.2 0.0 1.6 1.4 144 8.5 21.7 37.5 25.0 0 3.9 43.8 43.8
G. Davis G. Davis F 6 1.7 1.0 1.5 0.2 0.5 0.0 0.2 1.8 1.2 5 0.8 89.6 27.3 0 0 -0.71 27.3 27.3
M. Liepniece M. Liepniece G 4 1.8 0.8 0.0 0.0 0.0 0.0 0.2 0.5 0.0 2 0.3 39.3 50.0 0 100.0 -0.18 61.5 50.0
O. Fernandez O. Fernandez G 25 6.5 0.3 1.1 0.4 0.4 0.0 0.5 0.7 1.0 36 1.6 13.8 11.8 10.0 50.0 -0.04 20.4 14.7
Jana Aubรก Jana Aubรก F 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