TCU
2017 Team Stats (8 games)
70.1
PPG
74.0
Opp
-3.9
Margin
43.9%
FG%
34.2%
3P%
69.9%
FT%
35.5
RPG
15.6
APG
12.5
TO
-
Est. poss./game
77.2
Adj PPG
64.0
Adj Opp PPG
#29
Scoring Rank
Model Outputs
2016-2017
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 | 1350 (#27) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1181 (#54) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1093 (#54) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +14.5 (#29) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.4 (#21) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.678 (#74) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.914 (#29) | AdjNet +20.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.917 (#29) | AdjNet +20.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.768 (#29) | AdjO 77.2 | AdjD 64.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.713 (#25) | AdjO 75.8 | AdjD 65.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.828 (#27) | 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 | 0.820 (#25) | 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 | 1230 (#44) | RD 82 | GP 38 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Vladimir Brodziansky
|
F | 27 | 24.4 | 14.4 | 5.6 | 0.7 | 0.3 | 2.1 | 1.2 | 4.5 | 17.4 | 130 | 33 | 3.9 | 7.1 | 51.2 | 35.7 | 72.1 | 2.7 | 131.2 | 53.3 |
Kenrich Williams
|
- | 26 | 33.8 | 11.8 | 10.2 | 3.0 | 1.7 | 0.7 | 1.2 | 4.6 | 21.5 | 47 | 32 | 1.5 | 1.9 | 50.0 | 32.6 | 60.7 | 0.33 | 116.4 | 55.8 |
Alex Robinson
|
G | 27 | 33.7 | 10.9 | 3.2 | 6.2 | 1.6 | 0.5 | 2.9 | 4.6 | 14.8 | 127 | 33 | 3.8 | 5.1 | 41.6 | 38.9 | 75.0 | 3.94 | 103.4 | 47.2 |
Jaylen Fisher
|
G | 23 | 29.3 | 10.3 | 2.1 | 3.5 | 0.9 | 0.1 | 2.7 | 4.6 | 9.7 | 42 | 29 | 1.4 | 2.2 | 37.1 | 39.6 | 80.0 | 1.02 | 102.2 | 46.2 |
JD Miller
|
F | 26 | 18.7 | 7.2 | 2.8 | 0.9 | 0.5 | 0.4 | 1.0 | 2.2 | 8.6 | -2 | 31 | -0.1 | -0.1 | 39.3 | 28.6 | 58.8 | -0.62 | 146.5 | 44.6 |
Desmond Bane
|
- | 27 | 21.1 | 6.9 | 2.7 | 1.1 | 0.3 | 0.3 | 1.0 | 1.7 | 8.6 | 88 | 33 | 2.7 | 5.6 | 50.0 | 42.9 | 85.7 | 1.51 | 168.4 | 56.5 |
Brandon Parrish
|
G | 27 | 18.7 | 5.4 | 2.7 | 0.6 | 0.4 | 0.3 | 0.4 | 2.2 | 6.8 | 135 | 33 | 4.1 | 9.3 | 33.9 | 21.6 | 80.0 | 3.32 | 115.9 | 40.7 |
Karviar Shepherd
|
F | 27 | 10.7 | 3.9 | 2.1 | 0.4 | 0.3 | 0.2 | 0.9 | 1.0 | 4.9 | -19 | 32 | -0.6 | -2.4 | 50.0 | 0 | 42.9 | -3.16 | 167.3 | 50.0 |
M. Trent-Street
|
G | 7 | 9.7 | 3.3 | 1.0 | 0.9 | 0.7 | 0.0 | 1.0 | 1.0 | 3.9 | 47 | 9 | 5.2 | 18.6 | 42.9 | 0.0 | 0 | 1.41 | 164.3 | 42.9 |
Michael Williams
|
G | 21 | 8.7 | 2.4 | 0.8 | 0.5 | 0.2 | 0.0 | 0.4 | 0.9 | 2.7 | 5 | 25 | 0.2 | 1.0 | 38.9 | 36.4 | 100.0 | -1.13 | 135.1 | 50.0 |
Chris Washburn
|
F | 25 | 7.0 | 2.1 | 1.3 | 0.6 | 0.3 | 0.2 | 0.6 | 0.6 | 3.4 | 17 | 29 | 0.6 | 4.0 | 64.3 | 0.0 | 56.2 | 0.25 | 126.0 | 64.3 |
Dalton Dry
|
G | 10 | 1.7 | 0.7 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 | 0.2 | 0.8 | -7 | 7 | -1.0 | -19.0 | 0.0 | 0 | 50.0 | -2.66 | 121.5 | 0.0 |
Josh Parrish
|
F | 9 | 2.2 | 0.4 | 0.4 | 0.2 | 0.1 | 0.0 | 0.1 | 0.1 | 1.0 | -10 | 7 | -1.4 | -22.1 | 0.0 | 0.0 | 0 | -3.25 | 200.0 | 0.0 |
Austin Sottile
|
F | 9 | 1.3 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.8 | -5 | 6 | -0.8 | -20.7 | 100.0 | 0 | 0 | -1.54 | 200.0 | 100.0 |
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