Middle Tennessee Blue Raiders
2026 Team Stats (30 games)
62.6
PPG
60.2
Opp
+2.4
Margin
39.8%
FG%
32.6%
3P%
76.5%
FT%
34.9
RPG
10.3
APG
16.7
TO
77.8
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1012 (#168) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.9 (#151) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.578 (#147) | AdjO 64.2 | AdjD 60.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.764 (#156) | 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 → | 0.732 (#157) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1047 (#177) | RD 101 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Contreras
|
G | 30 | 32.1 | 14.6 | 2.1 | 2.4 | 1.6 | 0.1 | 2.4 | 12.6 | 5.9 | 58 | 2.6 | 3.2 | 38.2 | 35.4 | 85.3 | 1.6 | 51.7 | 45.9 |
B. Baugus
|
G | 30 | 34.7 | 13.5 | 9.3 | 1.7 | 1.7 | 0.8 | 2.9 | 11.0 | 13.1 | 28 | 1.3 | 1.4 | 45.0 | 37.5 | 79.5 | -1.38 | 52.5 | 46.4 |
M. Phifer
|
G | 30 | 35.3 | 11.7 | 5.9 | 1.4 | 1.2 | 1.0 | 2.4 | 9.6 | 9.2 | 58 | 2.6 | 3.1 | 42.9 | 35.0 | 73.8 | 0.14 | 54.2 | 50.3 |
S. Davis
|
G | 30 | 28.9 | 6.6 | 3.4 | 1.0 | 0.9 | 0.2 | 1.7 | 7.4 | 2.9 | 51 | 2.4 | 2.7 | 29.1 | 29.8 | 81.8 | 3.16 | 42.8 | 40.6 |
K. Verhulst
|
G | 30 | 31.8 | 6.2 | 3.7 | 2.0 | 0.8 | 0.2 | 2.1 | 5.2 | 5.6 | 61 | 2.8 | 3.6 | 37.4 | 35.0 | 61.8 | 2.77 | 51.6 | 48.7 |
Y. Lin
|
G | 30 | 13.7 | 4.8 | 1.1 | 1.2 | 0.7 | 0.1 | 1.8 | 3.9 | 2.2 | 46 | 2.1 | 4.5 | 41.9 | 25.6 | 72.9 | 3.74 | 51.8 | 46.2 |
C. Swaney
|
G | 21 | 15.8 | 3.5 | 1.6 | 0.5 | 0.6 | 0.0 | 1.1 | 2.9 | 2.2 | -12 | -0.8 | -2.8 | 45.0 | 29.4 | 56.2 | -2.66 | 54.4 | 53.3 |
E. Monson
|
G | 11 | 9.5 | 1.8 | 1.2 | 0.1 | 0.2 | 0.0 | 0.5 | 1.5 | 1.2 | -9 | -0.8 | -3.5 | 41.2 | 30.8 | 66.7 | -1.41 | 54.6 | 52.9 |
N. Dominguez
|
C | 22 | 5.5 | 1.7 | 2.4 | 0.0 | 0.0 | 0.2 | 0.6 | 1.2 | 2.6 | - | - | - | 53.8 | 0.0 | 76.9 | - | 59.9 | 53.8 |
S. Kabernick
|
F | 27 | 5.6 | 0.7 | 1.7 | 0.2 | 0.1 | 0.0 | 0.5 | 0.8 | 1.5 | -44 | -2.2 | -8.9 | 36.4 | 18.2 | 100.0 | -3.87 | 43.7 | 40.9 |
G. Hamby
|
G | 9 | 3.3 | 0.6 | 1.0 | 0.1 | 0.3 | 0.0 | 0.3 | 0.3 | 1.3 | 4 | 1.3 | 19.0 | 0.0 | 0 | 83.3 | 0.01 | 44.3 | 0.0 |
J. McClendon
|
F | 5 | 3.2 | 0.4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.8 | 0.4 | 0.2 | -3 | -0.5 | -6.4 | 50.0 | 0 | 0 | -0.82 | 50.0 | 50.0 |
J. Harrison
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 115 | 4.8 | 7.8 | - | - | - | 3.87 | - | - |
Nora Ahamadi
|
G | 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