TCU
2022 Team Stats (11 games)
67.1
PPG
65.4
Opp
+3.1
Margin
45.0%
FG%
32.2%
3P%
68.6%
FT%
36.9
RPG
13.5
APG
15.0
TO
78.6
Pace
Model Outputs
2021-2022
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 → | 1174 (#151) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1387 (#43) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.3 (#34) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.372 (#79) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.465 (#135) | NetEff -1.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.699 (#42) | AdjNet +7.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.702 (#42) | AdjNet +7.4 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Miles Jr.
|
- | 29 | 33.4 | 15.3 | 3.5 | 3.9 | 1.2 | 0.2 | 2.7 | 6.3 | 15.1 | 32 | 2.1 | 2.9 | 44.0 | 36.1 | 75.6 | 1.14 | 109.9 | 50.0 |
Avery Anderson Iii
|
- | 2 | 29.0 | 13.0 | 2.0 | 1.5 | 2.0 | 0.5 | 3.0 | 0.0 | 16.0 | 62 | 3.4 | 4.9 | 0 | 0 | 0 | 1.67 | 0 | 0 |
D. Baugh
|
- | 30 | 31.8 | 10.7 | 4.5 | 4.5 | 1.3 | 0.2 | 3.3 | 4.1 | 13.8 | - | - | - | 40.7 | 32.4 | 71.4 | - | 113.8 | 45.5 |
Emanuel Miller
|
- | 32 | 27.4 | 10.2 | 6.2 | 0.9 | 0.7 | 0.8 | 1.3 | 3.6 | 13.8 | - | - | - | 46.6 | 9.1 | 70.0 | - | 130.6 | 47.0 |
C. O'Bannon Jr.
|
- | 32 | 24.2 | 9.5 | 4.3 | 1.0 | 0.9 | 0.6 | 1.0 | 2.9 | 12.4 | 61 | 5.5 | 7.2 | 36.2 | 30.8 | 79.4 | 1.33 | 139.5 | 44.7 |
R. Walker
|
- | 2 | 24.5 | 8.5 | 2.0 | 1.0 | 3.0 | 0.5 | 1.0 | 0.0 | 14.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Lampkin Jr.
|
C | 31 | 22.1 | 7.1 | 6.5 | 0.8 | 0.6 | 0.5 | 1.1 | 1.8 | 12.7 | 69 | 6.9 | 36.3 | 62.5 | 0 | 43.3 | 1.02 | 159.0 | 62.5 |
Micah Peavy
|
- | 32 | 21.2 | 6.0 | 4.0 | 1.1 | 0.6 | 0.6 | 1.7 | 1.9 | 8.7 | - | - | - | 54.8 | 33.3 | 52.0 | - | 132.2 | 57.3 |
F. Farabello
|
- | 12 | 17.5 | 3.8 | 2.4 | 1.2 | 0.8 | 0.0 | 0.8 | 2.7 | 4.6 | - | - | - | 43.8 | 48.1 | 80.0 | - | 65.8 | 64.1 |
Xavier Cork
|
- | 31 | 13.2 | 3.2 | 2.6 | 0.4 | 0.3 | 0.7 | 0.8 | 1.0 | 5.3 | - | - | - | 61.3 | 0 | 60.0 | - | 149.1 | 61.3 |
Jakobe Coles
|
F | 32 | 8.3 | 2.4 | 1.8 | 0.4 | 0.4 | 0.3 | 0.6 | 0.7 | 4.1 | - | - | - | 40.9 | 18.2 | 50.0 | - | 170.5 | 45.5 |
S. Wells
|
- | 6 | 7.8 | 2.2 | 1.2 | 0.3 | 0.0 | 0.0 | 0.5 | 0.8 | 2.3 | - | - | - | 60.0 | 33.3 | 0 | - | 130.0 | 70.0 |
S. Doumbia
|
- | 7 | 3.4 | 0.9 | 0.1 | 0.0 | 0.1 | 0.1 | 0.4 | 0.9 | 0.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
H. Young
|
G | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Darius Ford
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 23 | 2.1 | 2.7 | 0 | 0 | 0 | 0.9 | 0 | 0 |
C. Despie
|
- | 3 | 1.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | - | - | - | 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