Tennessee
2016 Team Stats (8 games)
80.6
PPG
77.5
Opp
+3.1
Margin
45.2%
FG%
37.9%
3P%
79.6%
FT%
34.6
RPG
13.5
APG
11.3
TO
-
Est. poss./game
75.9
Adj PPG
69.5
Adj Opp PPG
#88
Scoring Rank
Model Outputs
2015-2016
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 | 1088 (#123) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1040 (#144) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 955 (#240) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.2 (#83) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +5.0 (#110) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.498 (#174) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.763 (#87) | AdjNet +10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.767 (#87) | AdjNet +10.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.642 (#88) | AdjO 75.9 | AdjD 69.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.525 (#146) | AdjO 71.8 | AdjD 70.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.620 (#112) | 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 | 0.597 (#123) | 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 | 1054 (#132) | RD 124 | GP 34 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kevin Punter
|
G | 24 | 34.5 | 22.9 | 3.6 | 3.5 | 1.5 | 0.2 | 2.6 | 5.5 | 23.6 | 3 | 20 | 0.1 | 0.2 | 45.0 | 43.5 | 83.1 | 2.13 | 166.8 | 55.3 |
Armani Moore
|
F | 31 | 33.0 | 12.6 | 7.5 | 4.0 | 1.2 | 1.7 | 2.7 | 3.5 | 20.8 | -16 | 24 | -0.7 | -0.9 | 44.0 | 28.6 | 62.7 | 0.97 | 148.7 | 45.9 |
Robert Hubbs
|
G | 27 | 27.0 | 10.4 | 4.0 | 1.3 | 0.4 | 0.0 | 0.7 | 3.1 | 12.3 | -20 | 22 | -0.9 | -1.4 | 48.2 | 30.8 | 76.2 | -1.52 | 149.1 | 50.6 |
Devon Baulkman
|
G | 31 | 27.7 | 8.9 | 3.5 | 1.7 | 1.1 | 0.4 | 1.3 | 2.3 | 12.1 | 33 | 25 | 1.3 | 2.0 | 35.2 | 28.3 | 94.1 | 3.04 | 176.5 | 44.4 |
Detrick Mostella
|
G | 31 | 19.5 | 8.2 | 2.3 | 1.3 | 0.3 | 0.1 | 1.4 | 2.7 | 8.1 | -9 | 25 | -0.4 | -0.8 | 41.7 | 32.6 | 84.6 | 1.81 | 132.5 | 50.6 |
Admiral Schofield
|
- | 29 | 18.8 | 8.0 | 4.2 | 0.8 | 0.3 | 0.3 | 0.7 | 2.7 | 10.4 | -59 | 23 | -2.6 | -6.0 | 54.5 | 37.9 | 85.0 | -2.17 | 135.2 | 61.7 |
Shembari Phillips
|
G | 30 | 15.3 | 5.1 | 1.6 | 0.9 | 0.2 | 0.2 | 1.2 | 1.2 | 5.5 | -61 | 24 | -2.5 | -7.2 | 44.4 | 41.2 | 84.6 | -1.63 | 160.2 | 54.2 |
Jabari McGhee
|
F | 6 | 10.8 | 3.8 | 3.2 | 0.0 | 0.7 | 0.5 | 0.2 | 1.0 | 7.0 | - | - | - | - | 50.0 | 0 | 75.0 | - | 148.2 | 50.0 |
Derek Reese
|
F | 31 | 19.0 | 3.4 | 5.4 | 0.8 | 0.5 | 0.6 | 0.5 | 1.1 | 9.2 | 29 | 25 | 1.2 | 2.5 | 45.5 | 50.0 | 68.8 | 1.99 | 131.1 | 53.0 |
Kyle Alexander
|
F | 29 | 12.1 | 1.7 | 2.9 | 0.1 | 0.1 | 1.0 | 0.5 | 0.2 | 5.1 | -9 | 24 | -0.4 | -1.3 | 57.1 | 0 | 30.0 | -0.12 | 210.5 | 57.1 |
Ray Kasongo
|
F | 19 | 5.5 | 1.4 | 1.5 | 0.1 | 0.1 | 0.3 | 0.3 | 0.2 | 2.8 | -21 | 17 | -1.2 | -10.1 | 66.7 | 0 | 0 | -3.74 | 433.3 | 66.7 |
Lucas Campbell
|
G | 3 | 2.0 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.3 | - | - | - | - | 33.3 | 50.0 | 0 | -1.8 | 50.0 | 50.0 |
Brad Woodson
|
G | 7 | 5.4 | 0.6 | 0.7 | 0.4 | 0.1 | 0.0 | 0.3 | 0.1 | 1.4 | -39 | 7 | -5.6 | -30.7 | 0.0 | 0 | 100.0 | -4.33 | 106.4 | 0.0 |
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