Bryant Bulldogs
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
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. More โ | 997 (#259) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.2 (#179) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More โ | 0.793 (#84) | NetEff +10.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.455 (#180) | AdjNet -1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.451 (#181) | AdjNet -1.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More โ | 1011 (#206) | RD 155 | GP 25 |
2026 Schedule & Results
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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