Texas Tech
2021 Team Stats (8 games)
78.9
PPG
61.9
Opp
+11.2
Margin
46.4%
FG%
39.0%
3P%
72.5%
FT%
38.0
RPG
16.6
APG
9.9
TO
79.0
Pace
Model Outputs
2020-2021
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 → | 1501 (#26) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1458 (#30) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.3 (#15) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.624 (#27) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.899 (#3) | NetEff +18.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.825 (#13) | AdjNet +13.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.826 (#14) | AdjNet +13.5 |
2021 Schedule & Results
2021 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mac McClung
|
- | 25 | 29.4 | 15.5 | 2.6 | 2.4 | 0.8 | 0.4 | 2.0 | 12.1 | 7.6 | - | - | - | 42.4 | 36.2 | 79.6 | 1.67 | 55.2 | 49.3 |
T. Shannon Jr.
|
- | 24 | 25.9 | 12.6 | 3.9 | 1.4 | 1.2 | 0.1 | 1.3 | 9.2 | 8.6 | 103 | 4.9 | 7.5 | 45.9 | 34.3 | 76.8 | 1.18 | 57.0 | 51.1 |
K. Edwards
|
G | 25 | 30.6 | 10.3 | 4.9 | 2.7 | 1.1 | 0.5 | 1.4 | 7.7 | 10.4 | 193 | 6.7 | 8.3 | 39.9 | 41.0 | 82.4 | 1.47 | 57.9 | 52.3 |
K. McCullar Jr.
|
- | 17 | 30.3 | 10.2 | 6.5 | 2.1 | 1.7 | 0.9 | 1.2 | 8.5 | 11.8 | 174 | 7.2 | 9.7 | 41.7 | 30.8 | 71.2 | 1.33 | 51.2 | 45.8 |
M. Santos-Silva
|
- | 20 | 23.1 | 8.5 | 6.3 | 1.6 | 0.8 | 0.7 | 0.9 | 1.0 | 15.9 | 162 | 5.6 | 9.3 | 60.0 | 0 | 50.0 | 1.52 | 390.6 | 60.0 |
J. Ntambwe
|
- | 2 | 18.0 | 7.0 | 5.0 | 1.5 | 0.0 | 0.0 | 2.0 | 0.0 | 11.5 | - | - | - | 0 | 0 | 0 | 0.11 | 0 | 0 |
N. Burnett
|
G | 11 | 18.5 | 5.8 | 2.0 | 1.0 | 1.5 | 0.5 | 1.4 | 4.4 | 5.2 | 34 | 2.8 | 6.3 | 29.2 | 18.2 | 88.9 | 0.02 | 50.1 | 33.3 |
Micah Peavy
|
- | 25 | 20.3 | 5.6 | 3.2 | 1.4 | 0.6 | 0.2 | 1.1 | 5.4 | 4.5 | 151 | 5.2 | 9.1 | 45.2 | 0.0 | 52.9 | 1.19 | 46.7 | 45.2 |
J. Burton
|
- | 16 | 18.7 | 4.4 | 1.9 | 1.4 | 0.9 | 0.1 | 1.1 | 0.9 | 6.8 | 147 | 6.4 | 13.2 | 42.9 | 0.0 | 0.0 | 1.47 | 231.7 | 42.9 |
T. Smith
|
- | 25 | 9.0 | 2.8 | 2.5 | 0.2 | 0.1 | 0.8 | 0.2 | 1.6 | 4.6 | 43 | 1.5 | 6.5 | 63.4 | 50.0 | 56.0 | 0.89 | 66.3 | 67.1 |
Vladislav Goldin
|
NA | 9 | 5.0 | 2.1 | 1.1 | 0.2 | 0.2 | 0.1 | 0.1 | 1.8 | 1.9 | 0 | 0.0 | 0.0 | 37.5 | 0 | 100.0 | -0.15 | 49.8 | 37.5 |
C. Agbo
|
- | 19 | 6.4 | 2.0 | 0.8 | 0.2 | 0.1 | 0.1 | 0.0 | 1.8 | 1.4 | 75 | 3.4 | 19.7 | 41.2 | 33.3 | 42.9 | 0.88 | 51.2 | 51.5 |
C. Nadolny
|
- | 17 | 10.3 | 1.9 | 1.2 | 0.6 | 0.2 | 0.0 | 0.5 | 0.0 | 3.5 | 30 | 1.3 | 4.2 | 0 | 0 | 0 | 0.23 | 0 | 0 |
A. Benson
|
G | 17 | 5.2 | 1.1 | 0.7 | 0.5 | 0.1 | 0.2 | 0.1 | 0.7 | 1.8 | 18 | 0.9 | 5.5 | 58.3 | 57.1 | 11.1 | 0.11 | 59.5 | 75.0 |
T. Larson
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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