Tennessee
2014 Team Stats (13 games)
68.6
PPG
65.7
Opp
+2.9
Margin
44.9%
FG%
22.8%
3P%
71.4%
FT%
35.9
RPG
10.9
APG
10.8
TO
-
Est. poss./game
73.6
Adj PPG
58.4
Adj Opp PPG
#21
Scoring Rank
Model Outputs
2013-2014
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 | 1331 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1208 (#46) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1120 (#35) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +16.2 (#20) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +19.5 (#3) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.837 (#20) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.946 (#16) | AdjNet +24.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.948 (#16) | AdjNet +25.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.800 (#21) | AdjO 73.6 | AdjD 58.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.785 (#4) | AdjO 72.1 | AdjD 57.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.864 (#12) | 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 | 0.862 (#10) | 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 | 1254 (#33) | RD 89 | GP 36 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordan McRae
|
G | 33 | 32.3 | 18.3 | 3.5 | 2.4 | 0.7 | 1.0 | 2.0 | 6.6 | 17.3 | 227 | 31 | 7.3 | 9.9 | 43.8 | 27.3 | 80.5 | 2.1 | 119.1 | 49.3 |
Jarnell Stokes
|
F | 33 | 32.8 | 15.5 | 10.8 | 2.0 | 0.6 | 0.9 | 2.0 | 4.7 | 23.2 | 232 | 31 | 7.5 | 10.0 | 56.1 | 0 | 68.6 | 3.86 | 123.5 | 56.1 |
Josh Richardson
|
G | 33 | 30.5 | 10.4 | 3.0 | 1.5 | 0.8 | 0.8 | 1.1 | 3.7 | 11.7 | 211 | 31 | 6.8 | 9.9 | 46.3 | 28.9 | 78.0 | 1.27 | 123.3 | 51.7 |
Jordan Mason
|
F | 33 | 28.7 | 9.8 | 8.3 | 1.0 | 0.7 | 0.4 | 1.7 | 2.6 | 15.9 | 260 | 31 | 8.4 | 13.0 | 46.5 | 0 | 64.8 | 6.17 | 147.1 | 46.5 |
Antonio Barton
|
G | 33 | 25.2 | 7.2 | 2.1 | 2.0 | 0.6 | 0.1 | 0.9 | 2.5 | 8.6 | 136 | 31 | 4.4 | 7.9 | 32.1 | 25.5 | 72.7 | -0.45 | 126.0 | 39.3 |
Robert Hubbs
|
G | 11 | 18.0 | 4.3 | 1.3 | 0.6 | 0.1 | 0.4 | 0.5 | 2.6 | 3.5 | -2 | 9 | -0.2 | -0.6 | 31.0 | 33.3 | 50.0 | -2.72 | 76.4 | 37.9 |
Armani Moore
|
F | 30 | 13.3 | 3.2 | 2.1 | 0.7 | 0.4 | 0.6 | 0.3 | 1.4 | 5.4 | 43 | 27 | 1.6 | 5.4 | 48.8 | 11.1 | 66.7 | -1.52 | 101.9 | 50.0 |
Darius Thompson
|
G | 33 | 16.4 | 2.6 | 1.9 | 2.2 | 1.0 | 0.2 | 0.9 | 1.1 | 5.8 | 119 | 31 | 3.8 | 10.7 | 42.9 | 33.3 | 100.0 | 0.06 | 101.1 | 50.0 |
Derek Reese
|
F | 21 | 10.6 | 2.2 | 2.8 | 0.3 | 0.2 | 0.4 | 0.4 | 0.7 | 4.8 | 44 | 20 | 2.2 | 9.8 | 14.3 | 15.4 | 66.7 | 2.1 | 138.2 | 21.4 |
A.J. Davis
|
F | 22 | 9.2 | 1.2 | 1.3 | 0.2 | 0.1 | 0.2 | 0.4 | 0.6 | 2.1 | 13 | 19 | 0.7 | 3.4 | 38.5 | 25.0 | 50.0 | 0.48 | 97.3 | 42.3 |
Rawane Ndiaye
|
C | 19 | 3.2 | 0.9 | 1.1 | 0.0 | 0.0 | 0.1 | 0.4 | 0.5 | 1.2 | -18 | 16 | -1.1 | -15.5 | 50.0 | 0 | 100.0 | -2.43 | 82.7 | 50.0 |
D'Montre Edwards
|
G | 9 | 4.4 | 0.8 | 1.2 | 0.2 | 0.1 | 0.1 | 0.2 | 0.3 | 1.9 | 8 | 8 | 1.0 | 8.4 | 33.3 | 0.0 | 0 | -0.71 | 116.7 | 33.3 |
Galen Campbell
|
G | 6 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.3 | -6 | 6 | -1.0 | -29.2 | 100.0 | 0 | 100.0 | -1.65 | 104.2 | 100.0 |
Quinton Chievous
|
G | 8 | 3.9 | 0.5 | 0.9 | 0.1 | 0.0 | 0.0 | 0.1 | 0.2 | 1.1 | -9 | 7 | -1.3 | -12.9 | 0.0 | 0.0 | 0 | -2.72 | 100.0 | 0.0 |
Brandon Lopez
|
G | 6 | 1.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | -8 | 6 | -1.3 | -30.9 | 0 | 0 | 0 | -1.97 | 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