Texas Tech
2012 Team Stats (7 games)
59.1
PPG
66.3
Opp
-7.1
Margin
35.5%
FG%
34.9%
3P%
62.8%
FT%
33.7
RPG
11.0
APG
0.0
TO
-
Est. poss./game
68.2
Adj PPG
51.6
Adj Opp PPG
#33
Scoring Rank
Model Outputs
2011-2012
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 | 1288 (#44) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1187 (#65) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1013 (#146) | HCA +78 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +18.4 (#30) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.2 (#35) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.701 (#96) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.960 (#35) | AdjNet +27.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.963 (#36) | AdjNet +28.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.819 (#33) | AdjO 68.2 | AdjD 51.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.683 (#51) | AdjO 63.8 | AdjD 55.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.834 (#46) | 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 | 0.812 (#46) | 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 | 1180 (#60) | RD 101 | GP 31 |
2012 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2011-11-11 | vs | New Mexico Lobos | W | 69 - 43 |
| 2011-11-16 | @ | Houston Cougars | W | 88 - 58 |
| 2011-11-30 | vs | Texas State Bobcats | W | 85 - 40 |
| 2011-12-03 | vs | Penn State Lady Lions | W | 70 - 66 |
| 2011-12-07 | vs | UT Arlington Mavericks | W | 88 - 48 |
| 2011-12-17 | @ | Illinois Fighting Illini | W | 70 - 64 |
| 2011-12-21 | vs | Western Kentucky Lady Toppers | W | 75 - 38 |
| 2011-12-29 | @ | Cal State Bakersfield Roadrunners | W | 81 - 63 |
| 2011-12-30 | @ | San Diego Toreros | W | 58 - 57 |
| 2012-01-04 | vs | Oklahoma State Cowgirls | W | 58 - 53 |
| 2012-01-07 | @ | Missouri Tigers | W | 69 - 63 |
| 2012-01-11 | @ | Oklahoma Sooners | L | 68 - 71 |
| 2012-01-14 | vs | Kansas State Wildcats | L | 61 - 62 |
| 2012-01-18 | vs | Baylor Bears | L | 64 - 72 |
| 2012-01-22 | @ | Iowa State Cyclones | L | 49 - 66 |
| 2012-01-25 | @ | Kansas Jayhawks | L | 43 - 62 |
| 2012-01-28 | vs | Texas Longhorns | W | 75 - 71 |
| 2012-02-01 | vs | Texas A&M Aggies | L | 55 - 67 |
| 2012-02-05 | vs | Missouri Tigers | W | 76 - 49 |
| 2012-02-08 | @ | Oklahoma State Cowgirls | L | 49 - 53 |
| 2012-02-12 | vs | Iowa State Cyclones | W | 51 - 41 |
| 2012-02-15 | @ | Texas Longhorns | L | 54 - 63 |
| 2012-02-18 | @ | Baylor Bears | L | 51 - 56 |
| 2012-02-21 | vs | Kansas Jayhawks | L | 64 - 69 |
| 2012-02-25 | @ | Texas A&M Aggies | L | 51 - 79 |
| 2012-02-29 | vs | Oklahoma Sooners | L | 62 - 71 |
| 2012-03-03 | @ | Kansas State Wildcats | W | 64 - 63 |
| 2012-03-07 | @ | Texas Longhorns | W | 81 - 58 |
| 2012-03-08 | @ | Baylor Bears | L | 48 - 72 |
| 2012-03-15 | vs | Eastern Illinois Panthers | W | 85 - 71 |
| 2012-03-22 | vs | San Diego Toreros | L | 51 - 60 |
2012 Roster
Minutes by Position
Not enough player minute data to plot.
| 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Hyde
|
NA | 5 | 0.0 | 10.6 | 3.4 | 1.4 | 0.6 | 0.0 | 2.4 | 9.6 | 4.0 | 141 | 25 | 5.6 | 12.0 | 45.8 | 33.3 | 46.7 | 2.17 | 48.5 | 47.9 |
M. Smalls
|
NA | 7 | 0.0 | 9.3 | 4.4 | 4.1 | 2.3 | 0.3 | 2.4 | 8.6 | 9.4 | 203 | 30 | 6.8 | 8.7 | 38.3 | 38.5 | 58.3 | 5.53 | 46.1 | 42.5 |
C. Morris
|
NA | 7 | 0.0 | 8.9 | 3.0 | 2.4 | 1.9 | 0.0 | 2.1 | 9.1 | 4.9 | 165 | 30 | 5.5 | 7.6 | 34.4 | 26.1 | 80.0 | 1.84 | 43.9 | 39.1 |
K. Mallard
|
NA | 4 | 0.0 | 8.8 | 9.5 | 1.0 | 1.5 | 3.0 | 2.0 | 13.8 | 8.0 | 185 | 28 | 6.6 | 11.8 | 25.5 | 26.7 | 60.0 | 2.79 | 30.6 | 29.1 |
K. Baker
|
F | 4 | 0.0 | 8.2 | 4.8 | 0.8 | 0.2 | 0.2 | 1.8 | 7.2 | 5.2 | 150 | 29 | 5.2 | 14.4 | 44.8 | 50.0 | 75.0 | 4.45 | 53.6 | 51.7 |
C. Brown
|
NA | 2 | 0.0 | 5.0 | 5.0 | 0.0 | 1.0 | 0.0 | 2.5 | 7.0 | 1.5 | 78 | 29 | 2.7 | 4.9 | 21.4 | 100.0 | 50.0 | 1.87 | 31.7 | 28.6 |
J. Barncastle
|
NA | 2 | 0.0 | 4.0 | 5.0 | 0.0 | 0.5 | 0.0 | 1.5 | 4.5 | 3.5 | 79 | 30 | 2.6 | 5.7 | 33.3 | 40.0 | 0 | 3.37 | 44.4 | 44.4 |
S. Nobles
|
F | 4 | 0.0 | 2.0 | 4.2 | 0.5 | 0.5 | 1.8 | 1.5 | 2.2 | 5.2 | 14 | 30 | 0.5 | 1.2 | 22.2 | 0 | 57.1 | -2.41 | 33.1 | 22.2 |
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