TCU
2015 Team Stats (16 games)
66.8
PPG
69.9
Opp
-3.1
Margin
41.4%
FG%
31.9%
3P%
60.6%
FT%
35.4
RPG
12.4
APG
12.3
TO
-
Est. poss./game
68.3
Adj PPG
59.2
Adj Opp PPG
#56
Scoring Rank
Model Outputs
2014-2015
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 | 1121 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1082 (#107) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 954 (#238) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +10.0 (#53) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.3 (#80) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.735 (#48) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.870 (#50) | AdjNet +16.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.874 (#50) | AdjNet +16.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.697 (#56) | AdjO 68.3 | AdjD 59.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.555 (#119) | AdjO 66.6 | AdjD 64.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.694 (#69) | 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 | 0.667 (#73) | 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 | 1116 (#87) | RD 131 | GP 33 |
2015 Schedule & Results
2015 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 | 32.1 | 13.4 | 1.4 | 4.3 | 1.3 | 0.2 | 2.6 | 6.4 | 11.6 | 79 | 26 | 3.0 | 4.0 | 38.7 | 36.2 | 82.5 | -2.71 | 89.7 | 47.1 |
Trey Zeigler
|
G | 32 | 27.2 | 10.0 | 4.1 | 2.1 | 0.8 | 0.3 | 2.0 | 5.6 | 9.7 | 92 | 26 | 3.5 | 5.6 | 48.3 | 0.0 | 60.9 | 1.97 | 72.6 | 48.3 |
Kenrich Williams
|
- | 32 | 27.8 | 8.5 | 6.7 | 1.3 | 0.9 | 0.9 | 1.1 | 4.5 | 12.7 | 151 | 26 | 5.8 | 9.0 | 43.4 | 37.5 | 60.6 | 6.85 | 78.1 | 46.6 |
Amric Fields
|
F | 29 | 18.6 | 7.5 | 3.6 | 0.8 | 0.3 | 0.7 | 0.9 | 4.0 | 8.0 | -48 | 22 | -2.2 | -4.9 | 41.7 | 27.3 | 46.9 | -3.44 | 79.8 | 45.7 |
Chris Washburn
|
F | 32 | 24.2 | 7.1 | 5.8 | 1.3 | 1.4 | 1.4 | 1.1 | 3.8 | 12.1 | 115 | 26 | 4.4 | 7.9 | 46.3 | 33.3 | 54.7 | 1.36 | 78.6 | 46.7 |
Karviar Shepherd
|
F | 32 | 23.6 | 5.9 | 5.5 | 0.8 | 0.5 | 0.8 | 1.2 | 3.2 | 9.2 | 164 | 26 | 6.3 | 11.3 | 46.2 | 0.0 | 50.0 | 3.7 | 75.5 | 46.2 |
Brandon Parrish
|
G | 32 | 18.8 | 5.5 | 1.7 | 0.5 | 0.6 | 0.4 | 0.9 | 3.3 | 4.5 | 149 | 26 | 5.7 | 13.0 | 43.0 | 35.6 | 67.7 | 3.36 | 73.4 | 50.5 |
Chauncey Collins
|
G | 25 | 9.1 | 3.5 | 0.8 | 0.8 | 0.2 | 0.0 | 0.6 | 1.7 | 3.0 | 46 | 24 | 1.9 | 9.6 | 28.6 | 25.8 | 75.0 | 0.37 | 85.6 | 38.1 |
Devonta Abron
|
F | 27 | 7.5 | 2.9 | 2.1 | 0.3 | 0.1 | 0.1 | 0.4 | 0.9 | 4.4 | 13 | 21 | 0.6 | 3.7 | 50.0 | 0 | 58.3 | 0.85 | 99.1 | 50.0 |
Charles Hill
|
G | 13 | 5.5 | 2.7 | 1.3 | 0.3 | 0.2 | 0.2 | 0.5 | 1.8 | 2.3 | -7 | 12 | -0.6 | -4.7 | 33.3 | 27.3 | 58.3 | -0.7 | 59.8 | 39.6 |
Hudson Price
|
G | 27 | 9.0 | 2.7 | 1.1 | 0.7 | 0.0 | 0.0 | 0.7 | 1.0 | 3.0 | -12 | 22 | -0.5 | -2.3 | 30.8 | 27.3 | 50.0 | -3.65 | 118.3 | 36.5 |
Michael Williams
|
G | 16 | 4.8 | 1.9 | 0.7 | 0.5 | 0.1 | 0.0 | 0.1 | 0.5 | 2.6 | -8 | 14 | -0.6 | -4.9 | 75.0 | 66.7 | 37.5 | -3.47 | 134.5 | 87.5 |
Link Kabadyundi
|
C | 14 | 4.5 | 1.4 | 1.4 | 0.1 | 0.1 | 0.6 | 0.3 | 0.3 | 3.0 | -5 | 13 | -0.4 | -3.7 | 50.0 | 0 | 0.0 | -1.71 | 214.0 | 50.0 |
Christian Gore
|
G | 16 | 4.3 | 1.0 | 0.4 | 0.1 | 0.1 | 0.1 | 0.4 | 0.4 | 0.9 | 8 | 13 | 0.6 | 5.3 | 16.7 | 20.0 | 0 | -1.52 | 133.3 | 25.0 |
Dalton Dry
|
G | 9 | 3.9 | 0.6 | 0.7 | 0.1 | 0.2 | 0.0 | 0.3 | 0.2 | 1.0 | -2 | 9 | -0.2 | -2.9 | 50.0 | 0.0 | 0 | -2.1 | 125.0 | 50.0 |
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