Texas Tech
2013 Team Stats (6 games)
54.3
PPG
76.3
Opp
-22.0
Margin
37.0%
FG%
28.6%
3P%
65.3%
FT%
24.7
RPG
9.7
APG
13.0
TO
-
Est. poss./game
65.2
Adj PPG
69.8
Adj Opp PPG
#237
Scoring Rank
Model Outputs
2012-2013
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 | 990 (#179) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 918 (#226) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 897 (#306) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -4.4 (#229) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -3.8 (#221) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.225 (#298) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.368 (#209) | AdjNet -4.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.364 (#210) | AdjNet -4.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.397 (#237) | AdjO 65.2 | AdjD 69.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.353 (#303) | AdjO 62.8 | AdjD 69.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.385 (#228) | 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 | 0.377 (#238) | 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 | 982 (#187) | RD 134 | GP 31 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaye Crockett
|
F | 31 | 24.9 | 11.9 | 6.5 | 0.6 | 1.3 | 0.3 | 1.7 | 2.9 | 16.0 | -174 | 28 | -6.2 | -12.2 | 45.6 | 29.2 | 62.5 | -0.52 | 189.6 | 49.4 |
Jordan Tolbert
|
F | 31 | 23.0 | 9.9 | 5.5 | 0.4 | 0.7 | 0.7 | 1.8 | 2.4 | 13.0 | -218 | 28 | -7.8 | -16.8 | 52.1 | 0 | 60.0 | -3.76 | 173.1 | 52.1 |
Josh Gray
|
C | 31 | 26.7 | 9.3 | 2.5 | 3.2 | 2.0 | 0.1 | 3.3 | 2.6 | 11.1 | -216 | 28 | -7.7 | -13.8 | 35.8 | 21.7 | 80.0 | -3.08 | 165.0 | 38.9 |
Dejan Kravic
|
F | 31 | 21.5 | 9.0 | 5.2 | 1.2 | 0.7 | 1.3 | 1.8 | 2.1 | 13.4 | -125 | 28 | -4.5 | -10.0 | 37.9 | 0 | 61.5 | 0.6 | 193.8 | 37.9 |
Dusty Hannahs
|
G | 31 | 22.4 | 6.9 | 1.1 | 0.4 | 0.5 | 0.0 | 0.9 | 2.0 | 6.0 | -131 | 28 | -4.7 | -9.6 | 44.4 | 38.6 | 66.7 | 3.25 | 160.5 | 57.9 |
Trency Jackson
|
G | 12 | 22.4 | 6.6 | 2.3 | 1.2 | 1.2 | 0.0 | 2.0 | 2.7 | 6.8 | -16 | 10 | -1.6 | -3.0 | 25.0 | 36.4 | 55.6 | -0.45 | 109.8 | 31.2 |
Jamal Williams,
|
G | 29 | 20.1 | 4.7 | 2.1 | 1.4 | 0.4 | 0.1 | 1.0 | 1.1 | 6.6 | -139 | 25 | -5.6 | -12.5 | 25.0 | 6.7 | 69.2 | 0.86 | 179.0 | 26.6 |
Daylen Robinson
|
G | 30 | 16.5 | 3.1 | 1.3 | 1.9 | 0.9 | 0.0 | 1.8 | 1.3 | 4.2 | -73 | 26 | -2.8 | -8.5 | 26.3 | 22.2 | 87.5 | -1.73 | 110.8 | 28.9 |
Ty Nurse
|
G | 29 | 14.4 | 2.5 | 0.6 | 0.8 | 0.6 | 0.0 | 0.4 | 0.6 | 3.5 | -112 | 26 | -4.3 | -15.5 | 38.9 | 35.7 | 50.0 | -2.18 | 193.3 | 52.8 |
Kader Tapsoba
|
F | 27 | 7.2 | 2.4 | 1.6 | 0.0 | 0.2 | 0.5 | 0.4 | 0.3 | 4.1 | -31 | 24 | -1.3 | -7.6 | 66.7 | 0 | 72.2 | -2.02 | 195.0 | 66.7 |
Toddrick Gotcher
|
G | 31 | 12.8 | 2.2 | 1.4 | 0.5 | 0.4 | 0.0 | 0.5 | 0.7 | 3.2 | -86 | 27 | -3.2 | -11.9 | 30.4 | 0.0 | 76.9 | -1.1 | 120.1 | 30.4 |
Luke Adams
|
G | 15 | 4.7 | 1.8 | 0.5 | 0.4 | 0.2 | 0.0 | 0.2 | 0.9 | 1.7 | 14 | 15 | 0.9 | 9.3 | 35.7 | 44.4 | 100.0 | -0.1 | 85.7 | 50.0 |
Clark Lammert
|
F | 19 | 6.5 | 1.5 | 1.3 | 0.3 | 0.2 | 0.1 | 0.1 | 0.4 | 2.9 | 17 | 16 | 1.1 | 7.3 | 37.5 | 42.9 | 62.5 | 1.17 | 125.9 | 56.2 |
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