Texas Tech
2016 Team Stats (11 games)
67.1
PPG
73.2
Opp
-6.1
Margin
42.7%
FG%
34.3%
3P%
69.7%
FT%
32.5
RPG
12.9
APG
12.5
TO
-
Est. poss./game
74.5
Adj PPG
64.9
Adj Opp PPG
#57
Scoring Rank
Model Outputs
2015-2016
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 โ | 1229 (#49) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1169 (#66) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 997 (#175) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +10.7 (#54) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +7.9 (#71) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.586 (#129) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.868 (#49) | AdjNet +16.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.870 (#48) | AdjNet +16.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.705 (#57) | AdjO 74.5 | AdjD 64.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.564 (#117) | AdjO 71.2 | AdjD 68.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.729 (#57) | 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 โ | 0.704 (#65) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1201 (#49) | RD 113 | GP 32 |
2016 Schedule & Results
2016 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Toddrick Gotcher
|
G | 29 | 28.5 | 10.9 | 3.4 | 2.2 | 1.1 | 0.3 | 0.9 | 3.4 | 13.7 | 67 | 22 | 3.0 | 4.6 | 35.4 | 24.1 | 80.0 | 4.74 | 146.6 | 41.9 |
Aaron Ross
|
F | 29 | 22.4 | 10.6 | 4.6 | 0.8 | 0.3 | 0.3 | 1.1 | 2.9 | 12.6 | -37 | 22 | -1.7 | -3.4 | 42.9 | 38.9 | 87.5 | -2.06 | 157.0 | 51.2 |
Zach Smith
|
F | 29 | 33.0 | 9.8 | 7.6 | 1.8 | 0.9 | 1.4 | 1.6 | 3.0 | 16.9 | 32 | 22 | 1.5 | 1.9 | 44.2 | 12.5 | 54.5 | 0.96 | 140.8 | 44.8 |
Devaugntah Williams
|
G | 29 | 25.7 | 9.8 | 3.0 | 1.5 | 0.8 | 0.2 | 1.6 | 3.4 | 10.3 | 86 | 22 | 3.9 | 6.3 | 37.0 | 36.6 | 76.9 | 4.64 | 127.9 | 44.5 |
Justin Gray
|
G | 28 | 24.2 | 9.2 | 3.9 | 0.9 | 0.9 | 0.5 | 1.1 | 3.0 | 11.2 | -26 | 22 | -1.2 | -2.3 | 53.6 | 44.4 | 70.0 | -0.2 | 132.7 | 60.7 |
Keenan Evans
|
G | 29 | 25.7 | 8.6 | 2.9 | 2.9 | 1.0 | 0.3 | 1.8 | 2.2 | 11.7 | 51 | 22 | 2.3 | 3.9 | 43.8 | 41.2 | 75.0 | 1.62 | 155.9 | 49.2 |
Norense Odiase
|
C | 17 | 18.0 | 8.0 | 4.2 | 0.9 | 0.3 | 0.8 | 1.7 | 2.0 | 10.6 | 67 | 14 | 4.8 | 10.9 | 52.9 | 0 | 33.3 | 2.02 | 192.5 | 52.9 |
Matthew Temple
|
F | 23 | 12.9 | 3.6 | 1.8 | 0.7 | 0.2 | 0.3 | 0.8 | 1.4 | 4.5 | -26 | 19 | -1.4 | -5.1 | 54.5 | 75.0 | 44.4 | -1.35 | 112.3 | 59.1 |
Isaiah Manderson
|
F | 4 | 8.5 | 3.0 | 1.8 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.8 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Devon Thomas
|
G | 29 | 12.1 | 2.3 | 1.2 | 1.3 | 0.4 | 0.0 | 0.9 | 0.7 | 3.8 | -45 | 22 | -2.0 | -8.0 | 26.3 | 0.0 | 0 | -2.83 | 176.3 | 26.3 |
C.J. Williamson
|
G | 18 | 7.3 | 1.9 | 0.8 | 0.4 | 0.3 | 0.1 | 0.6 | 0.8 | 2.1 | -19 | 13 | -1.5 | -10.0 | 28.6 | 28.6 | 50.0 | -2.41 | 114.2 | 35.7 |
Jordan Jackson
|
- | 21 | 5.6 | 1.2 | 0.8 | 0.3 | 0.1 | 0.1 | 0.3 | 0.3 | 2.0 | -5 | 13 | -0.4 | -3.1 | 50.0 | 50.0 | 0.0 | 0.55 | 189.0 | 58.3 |
Donovan Ham
|
G | 5 | 1.6 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -4 | 5 | -0.8 | -21.5 | 0 | 0 | 0 | -1.62 | 0 | 0 |
Rokas Ulvydas
|
F | 8 | 2.8 | 0.2 | 0.2 | 0.0 | 0.0 | 0.8 | 0.4 | 0.2 | 0.6 | -10 | 5 | -2.0 | -38.4 | 0.0 | 0 | 0.0 | -2.29 | 34.7 | 0.0 |
Andrew Sorrells
|
G | 5 | 2.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | -14 | 5 | -2.8 | -55.1 | 0 | 0 | 0 | -3.57 | 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