Belmont Bruins
2026 Team Stats (31 games)
71.4
PPG
66.6
Opp
+4.8
Margin
39.8%
FG%
31.1%
3P%
71.5%
FT%
37.4
RPG
13.4
APG
12.8
TO
83.9
Pace
69.0
AdjO
63.3
AdjD
#107
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 → | 1081 (#131) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1115 (#109) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1071 (#98) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.8 (#107) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.8 (#139) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.669 (#118) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.583 (#151) | NetEff +2.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.733 (#108) | AdjNet +8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.740 (#107) | AdjNet +9.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.627 (#107) | AdjO 69.0 | AdjD 63.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.601 (#124) | AdjO 66.5 | AdjD 62.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.826 (#121) | 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 → | 0.793 (#123) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1081 (#154) | RD 132 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Banks
|
G | 24 | 32.2 | 15.4 | 3.4 | 3.5 | 1.8 | 0.0 | 2.3 | 11.9 | 10.0 | -7 | -0.5 | -0.5 | 38.6 | 27.8 | 73.7 | 1.26 | 51.6 | 43.3 |
H. Fuller
|
F | 26 | 20.9 | 13.9 | 4.7 | 1.2 | 0.9 | 1.6 | 2.7 | 12.5 | 7.1 | -39 | -1.9 | -3.1 | 40.3 | 35.8 | 70.4 | 0.04 | 48.6 | 44.0 |
A. Strickland
|
G | 31 | 29.7 | 13.4 | 3.8 | 1.6 | 1.0 | 0.1 | 1.5 | 10.6 | 7.7 | -76 | -3.3 | -4.2 | 45.0 | 31.6 | 76.2 | -0.53 | 56.6 | 53.2 |
T. Jones
|
G | 31 | 32.6 | 9.5 | 5.0 | 3.7 | 3.1 | 0.2 | 1.3 | 8.4 | 11.7 | 14 | 1.3 | 4.6 | 37.9 | 31.6 | 76.7 | 1.23 | 51.0 | 47.3 |
S. Tripp
|
G | 31 | 25.9 | 7.8 | 3.7 | 1.3 | 1.4 | 0.1 | 1.7 | 7.0 | 5.6 | -119 | -5.2 | -7.3 | 36.6 | 26.8 | 73.1 | -3.07 | 48.1 | 42.6 |
Q. Eubank
|
G | 31 | 28.4 | 7.0 | 6.9 | 0.9 | 0.9 | 0.3 | 1.2 | 6.0 | 8.9 | 37 | 1.6 | 2.0 | 44.9 | 40.6 | 69.7 | 3.39 | 54.4 | 52.4 |
E. La Chapell
|
G | 7 | 17.7 | 5.7 | 1.9 | 1.4 | 0.7 | 0.1 | 1.1 | 5.9 | 2.9 | -43 | -5.4 | -13.7 | 39.0 | 30.0 | 50.0 | -2.05 | 46.8 | 46.3 |
K. Brodie
|
C | 31 | 19.5 | 5.3 | 3.1 | 1.2 | 0.7 | 1.9 | 1.2 | 5.5 | 5.5 | -74 | -3.2 | -6.9 | 41.5 | 38.5 | 44.0 | -0.16 | 44.8 | 44.4 |
K. Feltner
|
G | 5 | 14.8 | 3.4 | 3.2 | 1.0 | 0.4 | 0.4 | 0.8 | 2.4 | 5.2 | -23 | -4.6 | -8.5 | 41.7 | 25.0 | 85.7 | -2.34 | 56.4 | 45.8 |
K. McGinnis
|
G | 17 | 6.2 | 1.6 | 1.5 | 0.1 | 0.4 | 0.1 | 0.5 | 1.9 | 1.1 | -8 | -0.6 | -3.0 | 21.2 | 23.8 | 57.1 | 1.31 | 34.5 | 28.8 |
C. Hyde
|
G | 24 | 10.5 | 1.5 | 1.2 | 0.1 | 0.4 | 0.2 | 0.2 | 1.6 | 1.5 | 18 | 1.1 | 3.7 | 28.2 | 25.0 | 60.0 | 2.44 | 41.5 | 38.5 |
L. West
|
F | 23 | 8.0 | 1.4 | 1.9 | 0.3 | 0.1 | 0.2 | 0.7 | 1.8 | 1.4 | 15 | 0.8 | 2.2 | 26.2 | 21.7 | 66.7 | 1.21 | 35.9 | 32.1 |
Dacarra Ward
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Rylie Beers
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 133 | 6.3 | 8.5 | - | - | - | 4.72 | - | - |
Tatum Woodson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -1 | -0.5 | -4.7 | - | - | - | -1.02 | - | - |
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