TCU Horned Frogs
2025 Team Stats (35 games)
75.4
PPG
59.0
Opp
+16.4
Margin
47.3%
FG%
38.1%
3P%
76.8%
FT%
37.7
RPG
17.7
APG
12.4
TO
76.8
Pace
82.1
AdjO
50.3
AdjD
#12
Rank
Model Outputs
2024-2025
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 → | 1444 (#5) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1504 (#6) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +31.9 (#12) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.964 (#8) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.966 (#7) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.996 (#9) | AdjNet +47.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.996 (#9) | AdjNet +48.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.947 (#12) | AdjO 82.1 | AdjD 50.3 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
H. Van Lith
|
- | 35 | 35.4 | 18.0 | 4.3 | 5.2 | 1.1 | 0.6 | 3.1 | 13.4 | 12.7 | 121 | 2.9 | 3.1 | 45.7 | 34.7 | 83.1 | 0.78 | 57.9 | 52.2 |
S. Prince
|
C | 34 | 32.9 | 17.0 | 9.5 | 2.6 | 0.9 | 2.8 | 1.9 | 12.1 | 18.8 | 125 | 3.4 | 3.5 | 57.8 | 25.0 | 72.9 | 1.74 | 61.1 | 57.9 |
M. Conner
|
G | 35 | 33.0 | 14.3 | 4.0 | 3.3 | 0.8 | 0.2 | 2.3 | 10.5 | 9.8 | 101 | 2.5 | 2.8 | 45.0 | 45.1 | 82.1 | 1.9 | 62.9 | 60.5 |
A. Emma-Nnopu
|
G | 34 | 27.7 | 6.6 | 6.0 | 1.4 | 0.5 | 0.7 | 1.3 | 5.6 | 8.3 | 69 | 1.9 | 2.4 | 39.3 | 35.3 | 81.2 | 1.1 | 54.4 | 51.6 |
D. Hunter
|
G | 35 | 25.3 | 5.7 | 2.7 | 2.5 | 1.0 | 0.3 | 1.5 | 4.9 | 5.8 | 96 | 2.5 | 3.1 | 43.5 | 36.1 | 74.1 | 1.1 | 54.4 | 52.4 |
T. Bigby
|
G | 35 | 20.6 | 5.4 | 2.3 | 1.0 | 0.2 | 0.4 | 0.7 | 4.9 | 3.8 | 65 | 1.7 | 2.6 | 41.5 | 31.3 | 53.6 | 0.73 | 51.3 | 50.6 |
A. Roberson
|
F | 35 | 12.5 | 4.5 | 2.5 | 0.4 | 0.4 | 0.4 | 0.5 | 2.9 | 4.8 | 19 | 0.5 | 1.1 | 53.5 | 49.0 | 73.5 | 0.24 | 68.1 | 65.8 |
D. Merrill
|
F | 22 | 7.2 | 4.0 | 2.5 | 0.2 | 0.1 | 0.3 | 0.4 | 2.4 | 4.5 | 1 | 0.0 | 0.2 | 67.3 | 0 | 72.0 | -0.2 | 69.8 | 67.3 |
K. Godfrey
|
G | 12 | 5.9 | 2.0 | 1.1 | 0.8 | 0.2 | 0.0 | 0.2 | 1.6 | 2.2 | 3 | 0.1 | 0.3 | 36.8 | 33.3 | 87.5 | 0.15 | 53.3 | 44.7 |
U. Jovanovic
|
G | 20 | 9.9 | 1.9 | 1.3 | 1.3 | 0.1 | 0.0 | 0.3 | 2.5 | 1.9 | 4 | 0.2 | 0.5 | 34.0 | 23.5 | 50.0 | 0.02 | 38.3 | 38.0 |
N. Mazurek
|
F | 11 | 3.8 | 1.3 | 0.8 | 0.2 | 0.3 | 0.1 | 0.1 | 1.2 | 1.4 | -2 | -0.1 | -1.4 | 38.5 | 30.0 | 50.0 | -0.86 | 50.4 | 50.0 |
D. Turner
|
F | 6 | 1.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.3 | 54 | 3.2 | 4.9 | 0 | 0 | 0 | 0.54 | 0 | 0 |
E. Hamlin
|
G | 8 | 2.4 | 0.0 | 0.1 | 0.4 | 0.1 | 0.0 | 0.4 | 0.5 | -0.2 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | -1.26 | 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