Tennessee Lady Volunteers
2026 Team Stats (30 games)
76.4
PPG
69.6
Opp
+6.8
Margin
41.0%
FG%
30.5%
3P%
67.4%
FT%
39.4
RPG
13.6
APG
15.6
TO
90.7
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 → | 985 (#430) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +34.3 (#29) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.740 (#43) | AdjO 74.9 | AdjD 63.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.955 (#30) | 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 → | 0.933 (#35) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1178 (#80) | RD 119 | 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. Cooper
|
G | 29 | 26.2 | 16.0 | 4.7 | 3.6 | 2.7 | 0.3 | 2.8 | 14.8 | 9.7 | -18 | -1.0 | -1.3 | 42.9 | 34.3 | 71.4 | 2.23 | 51.5 | 50.0 |
J. Barker
|
F | 27 | 23.9 | 14.3 | 6.6 | 1.2 | 1.1 | 0.9 | 2.6 | 10.6 | 10.9 | -39 | -2.1 | -2.7 | 46.5 | 36.5 | 73.0 | 0.54 | 57.5 | 53.1 |
Mia Pauldo
|
G | 27 | 23.3 | 10.4 | 2.5 | 2.5 | 1.1 | 0.0 | 1.5 | 9.4 | 5.6 | -24 | -1.3 | -1.7 | 35.6 | 29.2 | 85.5 | 1.57 | 50.0 | 44.9 |
Z. Spearman
|
F | 30 | 26.2 | 10.2 | 5.8 | 1.0 | 0.8 | 1.3 | 2.4 | 9.7 | 6.9 | -57 | -3.0 | -3.8 | 38.4 | 23.3 | 61.1 | 0.52 | 45.8 | 42.5 |
N. Robertson
|
G | 30 | 22.7 | 8.5 | 2.4 | 1.3 | 0.6 | 0.1 | 1.7 | 8.1 | 3.1 | -49 | -2.6 | -4.0 | 36.1 | 33.1 | 66.7 | -1.28 | 49.3 | 47.7 |
J. Civil
|
G | 30 | 18.9 | 6.4 | 4.0 | 1.5 | 0.7 | 0.2 | 1.4 | 5.3 | 6.0 | -25 | -1.3 | -2.5 | 41.5 | 28.8 | 69.4 | 1.18 | 51.5 | 46.9 |
A. Latham
|
F | 27 | 19.1 | 4.7 | 3.4 | 0.5 | 1.0 | 0.4 | 0.9 | 3.3 | 5.8 | -43 | -2.7 | -6.1 | 53.9 | 21.1 | 74.3 | -0.54 | 60.3 | 56.2 |
D. Prawl
|
G | 29 | 15.4 | 4.0 | 2.7 | 0.4 | 1.0 | 0.2 | 0.7 | 3.8 | 3.8 | -29 | -1.5 | -3.6 | 41.3 | 14.7 | 47.6 | -0.22 | 45.1 | 43.6 |
L. Hurst
|
G | 24 | 10.0 | 2.2 | 1.6 | 0.7 | 0.3 | 0.0 | 0.6 | 1.8 | 2.4 | -35 | -2.7 | -16.3 | 48.8 | 41.4 | 0.0 | -0.2 | 61.5 | 62.8 |
Mya Pauldo
|
G | 27 | 10.0 | 1.8 | 1.6 | 0.9 | 0.4 | 0.0 | 0.5 | 2.1 | 2.1 | -26 | -1.6 | -8.9 | 35.1 | 26.5 | 0.0 | -1.32 | 42.0 | 43.0 |
K. Boyd
|
G | 26 | 11.0 | 1.6 | 1.3 | 0.8 | 0.6 | 0.0 | 0.6 | 1.6 | 2.2 | 20 | 3.3 | 7.6 | 34.1 | 25.0 | 80.0 | -0.05 | 46.3 | 41.5 |
J. Wolfenbarger
|
F | 19 | 7.6 | 1.1 | 1.6 | 0.1 | 0.5 | 0.5 | 0.3 | 1.0 | 2.5 | 6 | 0.5 | 2.2 | 42.1 | 0 | 44.4 | 1.79 | 43.6 | 42.1 |
K. Wynn
|
G | 9 | 5.8 | 0.6 | 1.2 | 0.4 | 0.7 | 0.0 | 0.2 | 0.6 | 2.1 | -11 | -1.0 | -9.4 | 40.0 | 0 | 12.5 | -2.31 | 29.3 | 40.0 |
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