Texas State
2026 Team Stats (30 games)
73.5
PPG
70.7
Opp
+2.8
Margin
46.7%
FG%
32.3%
3P%
75.7%
FT%
35.7
RPG
13.2
APG
12.3
TO
79.0
Pace
69.3
AdjO
75.4
AdjD
#254
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 → | 1039 (#147) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 997 (#185) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1032 (#133) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.6 (#263) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.6 (#224) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.477 (#191) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.420 (#194) | NetEff -2.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.291 (#251) | AdjNet -7.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.286 (#252) | AdjNet -7.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.366 (#254) | AdjO 69.3 | AdjD 75.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.532 (#200) | AdjO 72.1 | AdjD 70.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.704 (#220) | 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 → | 0.678 (#209) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1069 (#170) | RD 154 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dj Hall
|
- | 30 | 30.1 | 16.0 | 7.7 | 2.3 | 1.3 | 0.3 | 1.8 | 11.1 | 14.9 | -14 | -0.6 | -1.0 | 55.1 | 35.3 | 78.7 | -0.12 | 61.1 | 56.0 |
M. Drone
|
- | 28 | 31.0 | 14.2 | 3.3 | 3.0 | 1.0 | 0.1 | 2.6 | 12.3 | 6.7 | -59 | -2.7 | -4.3 | 42.9 | 25.6 | 83.3 | -0.17 | 51.5 | 46.2 |
Dimp Pernell
|
- | 11 | 21.2 | 8.8 | 2.2 | 1.9 | 0.9 | 0.2 | 1.1 | 6.9 | 6.0 | 63 | 5.7 | 13.2 | 47.4 | 40.6 | 66.7 | 0.1 | 57.8 | 55.9 |
K. Gumbs
|
- | 30 | 28.1 | 8.2 | 2.7 | 3.0 | 1.8 | 0.2 | 2.1 | 6.4 | 7.3 | 79 | 3.0 | 5.7 | 46.6 | 40.5 | 84.2 | -0.26 | 56.2 | 51.0 |
F. Emmou
|
- | 30 | 22.2 | 7.0 | 2.0 | 1.3 | 0.4 | 0.2 | 0.6 | 5.6 | 4.7 | 12 | 0.5 | 1.1 | 44.6 | 43.4 | 84.8 | 0.1 | 57.8 | 54.5 |
M. Willis
|
C | 30 | 12.9 | 5.8 | 3.0 | 0.5 | 0.3 | 0.6 | 1.0 | 4.6 | 4.6 | -72 | -3.0 | -11.3 | 50.4 | 0.0 | 76.1 | -0.64 | 54.9 | 50.4 |
K. Davis
|
- | 27 | 23.7 | 5.6 | 3.7 | 1.1 | 1.1 | 0.5 | 1.0 | 5.5 | 5.6 | 10 | 0.4 | 6.8 | 35.8 | 22.9 | 70.7 | -0.48 | 45.5 | 41.2 |
J. Bolden
|
G | 30 | 16.0 | 5.1 | 2.1 | 0.6 | 0.9 | 0.1 | 0.7 | 4.8 | 3.3 | 9 | 0.4 | 1.1 | 41.7 | 35.5 | 52.4 | -0.63 | 49.9 | 49.3 |
Robert Fields
|
- | 28 | 15.8 | 5.0 | 3.9 | 0.4 | 0.4 | 0.6 | 0.6 | 2.9 | 6.8 | 52 | 2.4 | 6.8 | 53.8 | 0.0 | 68.4 | 0.42 | 61.0 | 53.8 |
Ky Pernell
|
- | 2 | 9.5 | 4.5 | 1.5 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 1.0 | -13 | -4.3 | -16.4 | 37.5 | 33.3 | 100.0 | -0.15 | 50.7 | 43.8 |
T. Sant
|
C | 30 | 14.0 | 2.8 | 2.6 | 0.4 | 0.4 | 1.0 | 0.7 | 1.8 | 4.7 | - | - | - | 56.4 | 0 | 60.0 | - | 58.9 | 56.4 |
J. Lee
|
- | 19 | 6.9 | 2.5 | 0.9 | 0.4 | 0.5 | 0.2 | 0.5 | 2.4 | 1.5 | 0 | 0.0 | 0.0 | 41.3 | 27.3 | 75.0 | 0.12 | 49.2 | 47.8 |
Deke Thompson
|
- | 3 | 3.7 | 2.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.7 | 1.0 | - | - | - | 60.0 | 50.0 | 0 | 0.02 | 70.0 | 70.0 |
I. Barganier
|
F | 5 | 3.0 | 1.4 | 1.0 | 0.0 | 0.4 | 0.0 | 0.4 | 1.0 | 1.4 | 25 | 4.2 | 249.0 | 40.0 | 0.0 | 75.0 | 0.02 | 51.8 | 40.0 |
Cameron Simpson
|
- | 4 | 4.5 | 0.5 | 1.2 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | 0.5 | 6 | 1.5 | 53.9 | 25.0 | 0.0 | 0 | -0.11 | 25.0 | 25.0 |
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