Tennessee Tech Golden
2016 Team Stats (1 games)
77.0
PPG
64.0
Opp
+13.0
Margin
53.2%
FG%
38.1%
3P%
82.6%
FT%
25.0
RPG
12.0
APG
11.0
TO
-
Est. poss./game
73.8
Adj PPG
75.7
Adj Opp PPG
#192
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 | 954 (#198) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1039 (#145) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 985 (#193) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -2.2 (#194) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.8 (#233) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.517 (#168) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.396 (#196) | AdjNet -3.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.395 (#196) | AdjNet -3.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.457 (#192) | AdjO 73.8 | AdjD 75.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.422 (#235) | AdjO 72.1 | AdjD 75.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.448 (#193) | 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 | 0.441 (#195) | 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 | 986 (#181) | RD 132 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Torrance Rowe
|
G | 24 | 36.3 | 18.9 | 3.0 | 4.4 | 0.6 | 0.1 | 2.7 | 1.2 | 23.0 | 44 | 21 | 2.1 | 2.6 | 44.8 | 38.9 | 100.0 | -1.01 | 727.6 | 56.9 |
Ryan Martin
|
F | 24 | 29.3 | 13.7 | 8.8 | 1.1 | 0.5 | 0.8 | 2.0 | 0.5 | 22.3 | 68 | 21 | 3.2 | 4.9 | 75.0 | 33.3 | 77.8 | 1.68 | 1030.7 | 79.2 |
Aleksa Jugovic
|
G | 24 | 31.6 | 10.7 | 2.6 | 2.5 | 0.9 | 0.0 | 1.5 | 0.6 | 14.6 | 105 | 21 | 5.0 | 6.9 | 71.4 | 66.7 | 66.7 | 4.0 | 835.5 | 85.7 |
Hakeem Rogers
|
G | 24 | 18.8 | 10.2 | 2.1 | 1.0 | 0.8 | 0.0 | 1.4 | 0.9 | 11.8 | 35 | 20 | 1.8 | 4.1 | 52.4 | 53.8 | 100.0 | -0.78 | 497.6 | 69.0 |
Anthony Morse
|
F | 24 | 22.8 | 7.6 | 5.5 | 0.3 | 0.4 | 2.0 | 1.0 | 0.2 | 14.6 | 5 | 21 | 0.2 | 0.4 | 100.0 | 0 | 100.0 | -2.37 | 1475.8 | 100.0 |
Mason Ramsey
|
F | 24 | 17.0 | 5.6 | 2.5 | 0.5 | 0.6 | 0.3 | 0.6 | 0.4 | 8.4 | 32 | 21 | 1.5 | 4.5 | 66.7 | 0.0 | 75.0 | -1.0 | 535.1 | 66.7 |
Josiah Moore
|
F | 4 | 15.8 | 4.5 | 3.0 | 0.2 | 0.2 | 0.0 | 1.0 | 0.0 | 7.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Shirmane Thomas
|
G | 23 | 21.8 | 4.2 | 3.6 | 2.0 | 0.7 | 0.3 | 1.5 | 0.3 | 9.0 | 6 | 20 | 0.3 | 0.6 | 42.9 | 0.0 | 80.0 | -2.68 | 527.2 | 42.9 |
Tre Hansbrough
|
G | 14 | 8.4 | 2.6 | 1.0 | 1.1 | 0.2 | 0.1 | 0.3 | 0.2 | 4.4 | 33 | 16 | 2.1 | 11.9 | 33.3 | 50.0 | 50.0 | 1.39 | 463.9 | 50.0 |
Savonte Frazier
|
G | 10 | 8.1 | 2.4 | 1.4 | 0.9 | 0.2 | 0.0 | 0.6 | 0.1 | 4.2 | 11 | 13 | 0.8 | 5.6 | 100.0 | 100.0 | 0 | -1.7 | 1200.0 | 150.0 |
Markell Henderson
|
G | 15 | 6.0 | 1.7 | 1.5 | 0.2 | 0.2 | 0.1 | 0.1 | 0.4 | 3.2 | 27 | 14 | 1.9 | 14.6 | 50.0 | 33.3 | 0.0 | 1.12 | 194.1 | 58.3 |
Courtney Alexander
|
F | 22 | 10.0 | 1.6 | 2.4 | 0.3 | 0.1 | 0.3 | 0.8 | 0.2 | 3.8 | 8 | 19 | 0.4 | 1.8 | 50.0 | 0 | 0.0 | -3.61 | 368.9 | 50.0 |
Conner Hall
|
- | 4 | 4.2 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.8 | -0.2 | - | - | - | - | 0.0 | 0.0 | 50.0 | - | 51.5 | 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