Tennessee
2019 Team Stats (28 games)
82.6
PPG
69.4
Opp
+13.3
Margin
50.3%
FG%
37.1%
3P%
75.9%
FT%
37.9
RPG
17.3
APG
11.2
TO
-
Est. poss./game
83.5
Adj PPG
64.9
Adj Opp PPG
#10
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1380 (#7) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1158 (#20) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +20.0 (#10) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +17.3 (#12) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.848 (#17) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.965 (#10) | AdjNet +28.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.966 (#10) | AdjNet +28.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.844 (#10) | AdjO 83.5 | AdjD 64.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.732 (#17) | AdjO 79.8 | AdjD 68.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.894 (#10) | 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 | 0.880 (#12) | 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 | 1396 (#5) | RD 96 | GP 36 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Grant Williams
|
- | 37 | 31.9 | 18.8 | 7.5 | 3.2 | 1.1 | 1.5 | 2.2 | 9.0 | 20.9 | 351 | 30 | 11.7 | 16.1 | 56.3 | 25.7 | 82.3 | 6.1 | 80.7 | 57.7 |
Admiral Schofield
|
- | 37 | 31.8 | 16.5 | 6.1 | 2.0 | 0.9 | 0.5 | 1.9 | 10.6 | 13.5 | 298 | 30 | 9.9 | 13.2 | 48.1 | 43.2 | 70.5 | 1.98 | 71.7 | 55.8 |
Jordan Bone
|
- | 37 | 32.9 | 13.5 | 3.2 | 5.8 | 0.7 | 0.1 | 2.0 | 8.8 | 12.5 | 283 | 30 | 9.4 | 12.5 | 47.1 | 38.3 | 82.6 | 1.01 | 68.6 | 53.8 |
Lamonte Turner
|
G | 28 | 31.0 | 11.0 | 2.8 | 3.8 | 1.2 | 0.1 | 1.5 | 7.7 | 9.6 | 176 | 23 | 7.7 | 11.0 | 42.1 | 30.6 | 78.6 | 2.75 | 65.5 | 50.9 |
Jordan Bowden
|
- | 36 | 27.8 | 10.6 | 3.5 | 1.9 | 0.9 | 0.3 | 1.0 | 6.2 | 10.0 | 253 | 30 | 8.4 | 13.0 | 46.7 | 35.8 | 81.7 | 1.45 | 73.3 | 55.1 |
Kyle Alexander
|
F | 37 | 23.8 | 7.3 | 6.6 | 0.5 | 0.5 | 1.7 | 1.2 | 3.9 | 11.6 | 231 | 30 | 7.7 | 13.9 | 63.6 | 60.0 | 64.9 | 1.73 | 80.6 | 64.7 |
John Fulkerson
|
F | 36 | 12.0 | 3.1 | 2.6 | 0.7 | 0.5 | 0.7 | 0.6 | 1.6 | 5.4 | 75 | 28 | 2.7 | 9.3 | 57.6 | 0 | 70.0 | -1.11 | 78.3 | 57.6 |
Yves Pons
|
- | 35 | 11.7 | 2.2 | 1.8 | 0.5 | 0.3 | 0.4 | 0.6 | 1.3 | 3.3 | 130 | 28 | 4.6 | 16.8 | 52.3 | 31.6 | 41.7 | 0.04 | 78.1 | 59.1 |
Brad Woodson
|
G | 5 | 2.4 | 1.6 | 0.2 | 0.4 | 0.2 | 0.0 | 0.0 | 0.8 | 1.6 | - | - | - | - | 50.0 | 66.7 | 100.0 | -1.74 | 82.0 | 75.0 |
Jalen Johnson
|
G | 26 | 5.8 | 1.5 | 0.7 | 0.3 | 0.1 | 0.0 | 0.2 | 0.9 | 1.5 | 45 | 21 | 2.1 | 17.2 | 50.0 | 47.4 | 66.7 | 1.08 | 77.0 | 68.8 |
Derrick Walker
|
- | 30 | 5.3 | 0.8 | 1.1 | 0.2 | 0.2 | 0.1 | 0.2 | 0.4 | 1.8 | 42 | 24 | 1.8 | 15.4 | 69.2 | 0 | 33.3 | 0.32 | 63.8 | 69.2 |
Lucas Campbell
|
G | 7 | 2.0 | 0.7 | 0.4 | 0.1 | 0.1 | 0.0 | 0.1 | 1.3 | 0.0 | -4 | 5 | -0.8 | -19.5 | 22.2 | 25.0 | 0 | -2.29 | 27.8 | 27.8 |
Jacob Fleschman
|
G | 5 | 2.4 | 0.6 | 0.2 | 0.2 | 0.0 | 0.0 | 0.6 | 0.8 | -0.4 | - | - | - | - | 25.0 | 33.3 | 0 | -1.48 | 37.5 | 37.5 |
Brock Jancek
|
- | 6 | 1.5 | 0.0 | 0.3 | 0.0 | 0.0 | 0.2 | 0.0 | 0.3 | 0.2 | - | - | - | - | 0.0 | 0 | 0 | -1.47 | 0.0 | 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