Tennessee
2015 Team Stats (7 games)
66.0
PPG
63.7
Opp
+2.3
Margin
42.5%
FG%
29.8%
3P%
67.1%
FT%
35.7
RPG
8.6
APG
10.7
TO
-
Est. poss./game
64.9
Adj PPG
59.3
Adj Opp PPG
#84
Scoring Rank
Model Outputs
2014-2015
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 | 1144 (#77) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1084 (#104) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 982 (#190) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +6.5 (#80) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.4 (#77) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.458 (#189) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.763 (#80) | AdjNet +10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.767 (#80) | AdjNet +10.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.625 (#84) | AdjO 64.9 | AdjD 59.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.553 (#123) | AdjO 63.3 | AdjD 61.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.642 (#91) | 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 | 0.628 (#98) | 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 | 1102 (#97) | RD 126 | GP 32 |
2015 Schedule & Results
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Josh Richardson
|
G | 29 | 36.2 | 16.4 | 4.6 | 3.5 | 2.1 | 0.4 | 2.7 | 6.7 | 17.7 | 17 | 28 | 0.6 | 0.7 | 49.0 | 43.1 | 74.6 | 5.47 | 108.0 | 55.4 |
Kevin Punter
|
G | 29 | 31.3 | 10.8 | 2.1 | 1.9 | 1.7 | 0.2 | 1.8 | 4.9 | 10.0 | -22 | 28 | -0.8 | -1.1 | 43.4 | 29.5 | 67.4 | -0.06 | 95.9 | 49.7 |
Armani Moore
|
F | 29 | 31.2 | 10.3 | 7.0 | 2.2 | 1.4 | 1.2 | 2.1 | 4.3 | 15.8 | 76 | 28 | 2.7 | 3.9 | 44.8 | 22.2 | 63.9 | 6.12 | 95.4 | 45.6 |
Robert Hubbs
|
G | 29 | 24.6 | 7.2 | 2.9 | 0.8 | 0.4 | 0.1 | 0.7 | 3.8 | 7.1 | -5 | 28 | -0.2 | -0.3 | 40.4 | 38.1 | 68.8 | -0.94 | 90.1 | 47.7 |
Derek Reese
|
F | 29 | 25.0 | 5.8 | 5.3 | 0.9 | 0.7 | 0.3 | 1.0 | 2.5 | 9.4 | 10 | 28 | 0.4 | 0.6 | 39.7 | 27.3 | 70.0 | 0.85 | 96.9 | 43.8 |
Dominic Woodson
|
F | 1 | 11.0 | 5.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 4.0 | 2.0 | - | - | - | - | 50.0 | 0 | 50.0 | -1.61 | 51.2 | 50.0 |
Jabari McGhee
|
F | 8 | 12.9 | 4.4 | 3.8 | 0.0 | 0.4 | 0.1 | 0.4 | 1.6 | 6.6 | -28 | 8 | -3.5 | -12.4 | 69.2 | 0 | 40.0 | -2.57 | 100.6 | 69.2 |
Devon Baulkman
|
G | 28 | 14.7 | 4.2 | 2.2 | 0.6 | 0.5 | 0.1 | 0.7 | 2.2 | 4.8 | -48 | 27 | -1.8 | -5.5 | 32.3 | 29.7 | 70.0 | -2.99 | 84.0 | 41.1 |
Detrick Mostella
|
G | 29 | 11.6 | 3.4 | 0.8 | 0.5 | 0.3 | 0.0 | 1.0 | 2.2 | 1.8 | -62 | 28 | -2.2 | -8.6 | 27.0 | 26.2 | 66.7 | -4.96 | 75.4 | 35.7 |
Willie Carmichael
|
F | 29 | 14.5 | 2.9 | 2.3 | 0.4 | 0.2 | 0.4 | 0.9 | 1.2 | 4.1 | -80 | 28 | -2.9 | -8.7 | 71.4 | 0 | 66.7 | -5.65 | 99.8 | 71.4 |
Tariq Owens
|
F | 24 | 8.1 | 1.3 | 1.2 | 0.1 | 0.1 | 0.5 | 0.5 | 0.7 | 2.1 | -24 | 24 | -1.0 | -5.9 | 31.2 | 0 | 55.6 | -1.88 | 80.2 | 31.2 |
Ian Chiles
|
G | 2 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | - | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
Galen Campbell
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | -1.56 | 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