TCU
2013 Team Stats (6 games)
57.7
PPG
67.2
Opp
-9.5
Margin
39.7%
FG%
32.4%
3P%
62.4%
FT%
31.3
RPG
10.2
APG
12.3
TO
-
Est. poss./game
54.2
Adj PPG
59.6
Adj Opp PPG
#251
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 | 965 (#189) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 893 (#243) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 877 (#324) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -5.2 (#242) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.3 (#229) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.154 (#321) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.291 (#238) | AdjNet -7.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.289 (#238) | AdjNet -7.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.380 (#251) | AdjO 54.2 | AdjD 59.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.349 (#306) | AdjO 56.3 | AdjD 63.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.340 (#255) | 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 | 0.334 (#260) | 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 | 931 (#218) | RD 140 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kyan Anderson
|
G | 32 | 33.9 | 12.0 | 1.8 | 3.4 | 1.4 | 0.0 | 2.7 | 5.1 | 10.8 | -154 | 28 | -5.5 | -7.2 | 37.2 | 35.0 | 66.7 | -1.17 | 108.9 | 45.7 |
Amric Fields
|
F | 2 | 25.5 | 11.0 | 4.0 | 1.5 | 0.5 | 0.5 | 2.0 | 0.0 | 15.5 | - | - | - | - | 0 | 0 | 0 | -0.34 | 0 | 0 |
Garlon Green
|
G | 32 | 30.2 | 9.7 | 3.5 | 1.1 | 0.5 | 0.3 | 2.1 | 4.6 | 8.4 | -145 | 28 | -5.2 | -7.6 | 27.9 | 18.2 | 83.3 | -1.43 | 96.4 | 30.6 |
Adrick McKinney
|
F | 32 | 23.9 | 7.5 | 6.4 | 0.8 | 0.6 | 0.4 | 1.6 | 2.7 | 11.4 | -160 | 28 | -5.7 | -10.6 | 35.6 | 0 | 47.9 | -4.4 | 101.5 | 35.6 |
Devonta Abron
|
F | 32 | 21.3 | 7.4 | 5.9 | 0.5 | 0.5 | 0.7 | 1.3 | 2.6 | 11.2 | -79 | 28 | -2.8 | -6.2 | 58.5 | 0 | 63.2 | -1.19 | 102.7 | 58.5 |
Connell Crossland
|
F | 32 | 23.2 | 6.3 | 5.4 | 0.6 | 0.5 | 0.4 | 1.3 | 2.3 | 9.5 | -85 | 28 | -3.0 | -5.8 | 41.3 | 0.0 | 60.8 | 1.74 | 103.1 | 41.3 |
Jarvis Ray
|
G | 10 | 25.7 | 6.2 | 1.9 | 1.1 | 0.9 | 0.3 | 1.7 | 1.7 | 7.0 | -5 | 8 | -0.6 | -1.0 | 17.6 | 40.0 | 83.3 | 0.71 | 157.8 | 23.5 |
N. Butler Lind
|
G | 31 | 27.1 | 4.9 | 2.6 | 1.6 | 1.0 | 0.6 | 1.5 | 2.2 | 7.1 | -76 | 27 | -2.8 | -4.6 | 41.2 | 41.2 | 65.5 | 2.59 | 94.7 | 46.3 |
Charles Hill
|
G | 24 | 20.4 | 4.6 | 1.9 | 0.8 | 0.3 | 0.2 | 1.1 | 2.4 | 4.4 | -58 | 21 | -2.8 | -6.7 | 31.0 | 30.8 | 63.6 | 3.08 | 87.5 | 37.9 |
Clyde Smith
|
G | 23 | 10.3 | 1.0 | 0.9 | 0.7 | 0.3 | 0.0 | 0.8 | 0.8 | 1.4 | -35 | 19 | -1.8 | -8.4 | 11.1 | 0.0 | 50.0 | -1.72 | 58.2 | 11.1 |
Chris Zurcher
|
G | 27 | 6.4 | 0.5 | 0.3 | 0.5 | 0.1 | 0.0 | 0.3 | 0.3 | 0.8 | -39 | 23 | -1.7 | -11.0 | 25.0 | 16.7 | 100.0 | -2.49 | 78.8 | 31.2 |
Thomas Montigel
|
G | 17 | 5.8 | 0.3 | 0.5 | 0.2 | 0.1 | 0.0 | 0.2 | 0.2 | 0.6 | 2 | 14 | 0.1 | 1.0 | 0.0 | 0.0 | 0 | 0.31 | 83.3 | 0.0 |
Kemal Dincer
|
G | 7 | 2.3 | 0.3 | 0.1 | 0.1 | 0.3 | 0.0 | 0.0 | 0.6 | 0.3 | - | - | - | - | 25.0 | 0.0 | 0 | 0.61 | 25.0 | 25.0 |
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