Tennessee
2017 Team Stats (8 games)
71.0
PPG
76.9
Opp
-5.9
Margin
42.3%
FG%
32.1%
3P%
74.4%
FT%
33.8
RPG
11.4
APG
12.1
TO
-
Est. poss./game
76.8
Adj PPG
67.4
Adj Opp PPG
#57
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 | 1164 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1112 (#86) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 988 (#186) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +10.5 (#54) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +9.6 (#60) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.543 (#147) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.841 (#61) | AdjNet +14.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.844 (#61) | AdjNet +14.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.702 (#57) | AdjO 76.8 | AdjD 67.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.581 (#98) | AdjO 71.8 | AdjD 68.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.699 (#73) | 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 | 0.676 (#75) | 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 | 1105 (#92) | RD 130 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Robert Hubbs
|
G | 20 | 31.6 | 13.9 | 4.5 | 1.7 | 0.6 | 0.2 | 1.5 | 6.0 | 13.4 | -33 | 30 | -1.1 | -1.5 | 51.7 | 25.0 | 67.7 | 0.56 | 104.4 | 52.5 |
Grant Williams
|
- | 20 | 24.9 | 12.8 | 5.8 | 1.1 | 0.7 | 1.9 | 1.9 | 3.3 | 17.1 | -3 | 30 | -0.1 | -0.2 | 56.1 | 42.9 | 69.0 | 3.01 | 140.4 | 58.3 |
Detrick Mostella
|
G | 10 | 20.8 | 9.5 | 3.5 | 1.2 | 0.4 | 0.2 | 1.1 | 4.5 | 9.2 | 10 | 13 | 0.8 | 1.6 | 37.8 | 39.1 | 80.0 | 0.27 | 96.2 | 47.8 |
Admiral Schofield
|
- | 18 | 19.5 | 9.0 | 4.6 | 0.8 | 0.4 | 0.2 | 1.1 | 3.5 | 10.3 | -52 | 28 | -1.9 | -4.3 | 47.6 | 31.6 | 80.0 | 0.04 | 103.3 | 52.4 |
Lamonte Turner
|
G | 20 | 20.6 | 8.7 | 2.6 | 2.5 | 0.8 | 0.2 | 1.7 | 4.2 | 9.0 | -13 | 30 | -0.4 | -0.9 | 26.5 | 25.0 | 75.0 | 0.51 | 94.8 | 33.1 |
Jordan Bowden
|
- | 19 | 22.3 | 8.4 | 2.7 | 1.2 | 1.1 | 0.2 | 0.7 | 3.6 | 9.2 | -17 | 28 | -0.6 | -1.2 | 31.9 | 33.3 | 94.4 | 1.26 | 104.0 | 40.6 |
Shembari Phillips
|
G | 19 | 20.8 | 6.9 | 3.3 | 2.0 | 0.4 | 0.2 | 1.4 | 2.5 | 8.8 | -28 | 29 | -1.0 | -2.0 | 41.7 | 35.7 | 78.9 | -0.28 | 116.2 | 46.9 |
Jordan Bone
|
- | 15 | 19.1 | 5.9 | 1.1 | 3.0 | 0.7 | 0.0 | 1.6 | 3.1 | 6.1 | -26 | 23 | -1.1 | -2.5 | 34.8 | 41.2 | 80.0 | -0.16 | 88.3 | 42.4 |
John Fulkerson
|
F | 6 | 13.5 | 4.3 | 3.5 | 0.8 | 1.0 | 0.3 | 0.7 | 0.7 | 8.7 | 11 | 8 | 1.4 | 3.6 | 100.0 | 0 | 0 | -0.29 | 325.0 | 100.0 |
Lew Evans
|
F | 20 | 15.2 | 3.0 | 2.6 | 1.0 | 0.3 | 0.1 | 0.8 | 1.3 | 5.0 | 46 | 30 | 1.5 | 4.8 | 30.8 | 30.0 | 80.0 | 3.06 | 93.6 | 36.5 |
Kyle Alexander
|
F | 20 | 13.2 | 2.8 | 3.7 | 0.3 | 0.1 | 1.0 | 0.5 | 1.1 | 6.3 | -32 | 30 | -1.1 | -3.3 | 47.6 | 0.0 | 0.0 | -0.86 | 114.2 | 47.6 |
Brad Woodson
|
G | 3 | 3.0 | 2.3 | 0.0 | 0.3 | 0.3 | 0.3 | 0.0 | 1.0 | 2.3 | - | - | - | - | 33.3 | 0.0 | 0 | -0.34 | 116.7 | 33.3 |
Lucas Campbell
|
G | 3 | 1.7 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | - | - | - | - | 0 | 0 | 66.7 | -0.38 | 75.8 | 0 |
Kwe Parker
|
G | 17 | 7.6 | 0.7 | 0.9 | 0.8 | 0.2 | 0.0 | 0.9 | 0.2 | 1.5 | 24 | 23 | 1.0 | 5.9 | 33.3 | 0.0 | 25.0 | 2.0 | 126.1 | 33.3 |
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