Belmont
2026 Team Stats (30 games)
84.3
PPG
73.9
Opp
+10.4
Margin
51.7%
FG%
40.9%
3P%
69.2%
FT%
35.6
RPG
18.7
APG
12.8
TO
79.3
Pace
83.6
AdjO
74.6
AdjD
#80
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 → | 1131 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1227 (#39) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1077 (#74) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.1 (#76) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.0 (#93) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.798 (#31) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.774 (#87) | NetEff +10.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.802 (#78) | AdjNet +12.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.804 (#78) | AdjNet +12.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.695 (#80) | AdjO 83.6 | AdjD 74.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.631 (#85) | AdjO 81.6 | AdjD 75.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.873 (#69) | 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 → | 0.840 (#69) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1225 (#52) | RD 157 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Lundblade
|
G | 30 | 34.4 | 16.2 | 2.7 | 1.7 | 0.3 | 0.1 | 0.9 | 11.1 | 8.9 | 229 | 10.0 | 13.5 | 43.4 | 41.3 | 93.4 | 1.52 | 65.2 | 60.2 |
S. Orme
|
F | 27 | 25.6 | 12.9 | 4.9 | 1.7 | 0.9 | 0.7 | 1.1 | 9.0 | 11.0 | 196 | 8.9 | 18.4 | 56.4 | 41.2 | 63.6 | 1.49 | 66.5 | 66.0 |
D. Scharnowski
|
F | 28 | 21.6 | 10.8 | 6.3 | 2.7 | 0.7 | 1.2 | 1.9 | 6.4 | 13.5 | 11 | 0.5 | 1.0 | 69.1 | 20.0 | 44.6 | -0.62 | 65.1 | 69.4 |
N. McClain
|
G | 14 | 24.7 | 9.7 | 4.3 | 6.4 | 1.4 | 0.1 | 3.3 | 6.8 | 11.9 | 165 | 11.0 | 20.8 | 45.3 | 43.8 | 67.9 | 1.26 | 57.5 | 52.6 |
J. Jenkins
|
- | 30 | 24.1 | 8.9 | 4.3 | 1.3 | 1.2 | 0.4 | 1.9 | 6.3 | 7.9 | 66 | 3.3 | 5.4 | 49.5 | 28.8 | 70.7 | 0.23 | 58.2 | 53.5 |
Jack Smiley
|
- | 29 | 17.2 | 8.4 | 1.9 | 2.7 | 0.4 | 0.0 | 1.2 | 6.3 | 5.9 | 108 | 4.9 | 13.3 | 47.3 | 44.2 | 79.4 | 0.93 | 61.1 | 58.7 |
E. Dillon
|
- | 30 | 16.4 | 7.5 | 2.5 | 1.6 | 0.4 | 0.2 | 1.0 | 5.3 | 6.0 | 116 | 5.0 | 15.8 | 47.2 | 43.5 | 93.3 | 0.7 | 65.3 | 61.9 |
B. Rogers
|
F | 30 | 18.2 | 7.1 | 3.8 | 1.8 | 0.4 | 0.6 | 1.0 | 4.3 | 8.3 | 152 | 6.9 | 16.1 | 74.4 | 0 | 50.0 | 1.41 | 72.3 | 74.4 |
A. Noyes
|
F | 14 | 14.8 | 5.9 | 1.9 | 0.3 | 0.1 | 0.1 | 0.4 | 3.8 | 4.3 | 2 | 0.4 | 1.6 | 50.9 | 47.8 | 100.0 | -0.09 | 74.0 | 71.7 |
I. West
|
G | 30 | 17.6 | 3.0 | 2.5 | 1.8 | 0.9 | 0.2 | 1.4 | 2.6 | 4.5 | 24 | 1.0 | 3.0 | 41.6 | 25.9 | 69.2 | -0.3 | 50.3 | 46.1 |
W. Miller
|
G | 25 | 8.2 | 3.0 | 0.6 | 0.5 | 0.1 | 0.0 | 0.7 | 2.2 | 1.4 | 20 | 0.9 | 6.0 | 42.6 | 43.8 | 88.9 | -0.23 | 61.4 | 55.6 |
C. Haynes
|
- | 13 | 5.2 | 1.9 | 0.5 | 0.5 | 0.2 | 0.0 | 0.2 | 1.4 | 1.5 | 6 | 0.6 | 7.6 | 55.6 | 60.0 | 66.7 | 0.03 | 64.7 | 63.9 |
K. Robbins
|
G | 14 | 2.8 | 1.3 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.9 | 1.1 | -15 | -1.5 | -62.8 | 46.2 | 44.4 | 100.0 | -0.18 | 64.8 | 61.5 |
G. Lemke
|
- | 12 | 1.8 | 0.9 | 0.4 | 0.1 | 0.0 | 0.1 | 0.1 | 1.0 | 0.4 | -16 | -2.0 | -92.5 | 33.3 | 33.3 | 0 | -0.25 | 45.8 | 45.8 |
J. Dykstra
|
G | 14 | 3.0 | 0.6 | 0.4 | 0.1 | 0.1 | 0.0 | 0.1 | 0.9 | 0.3 | -13 | -1.3 | -61.2 | 25.0 | 27.3 | 0 | -0.18 | 37.5 | 37.5 |
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