Tennessee Tech Golden
2014 Team Stats (2 games)
86.0
PPG
77.0
Opp
+9.0
Margin
50.0%
FG%
40.0%
3P%
77.4%
FT%
35.0
RPG
12.5
APG
10.5
TO
-
Est. poss./game
66.2
Adj PPG
72.4
Adj Opp PPG
#273
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 | 981 (#193) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 953 (#212) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1022 (#140) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -6.7 (#273) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.0 (#232) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.363 (#242) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.236 (#274) | AdjNet -10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.233 (#274) | AdjNet -10.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.364 (#273) | AdjO 66.2 | AdjD 72.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.442 (#230) | AdjO 67.5 | AdjD 70.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.390 (#236) | 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 | 0.405 (#234) | 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 | 951 (#204) | RD 154 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dennis Ogbe
|
F | 25 | 23.5 | 11.8 | 6.1 | 0.6 | 0.7 | 0.8 | 1.2 | 1.3 | 17.7 | -26 | 26 | -1.0 | -1.8 | 65.6 | 14.3 | 94.1 | 0.17 | 374.9 | 67.2 |
Dwan Caldwell
|
C | 25 | 24.9 | 11.4 | 6.0 | 0.4 | 0.7 | 1.1 | 2.0 | 1.5 | 16.1 | -66 | 26 | -2.5 | -4.2 | 67.6 | 0 | 80.0 | -0.81 | 250.0 | 67.6 |
Jeremiah Samarrippas
|
G | 25 | 30.2 | 10.0 | 2.4 | 5.0 | 1.2 | 0.0 | 3.1 | 1.9 | 13.6 | -43 | 26 | -1.7 | -2.3 | 46.8 | 43.5 | 90.0 | 1.79 | 243.2 | 57.4 |
Ty Allen
|
G | 17 | 20.7 | 8.7 | 1.6 | 0.9 | 0.6 | 0.1 | 1.7 | 0.9 | 9.4 | -65 | 17 | -3.8 | -9.2 | 31.2 | 33.3 | 71.4 | -3.15 | 387.8 | 37.5 |
Ladon Carter
|
F | 24 | 17.7 | 6.9 | 4.8 | 0.8 | 1.1 | 1.2 | 1.2 | 1.0 | 12.6 | -37 | 24 | -1.5 | -3.9 | 47.8 | 0 | 35.7 | -2.59 | 282.9 | 47.8 |
Josiah Moore
|
F | 25 | 15.6 | 6.8 | 2.9 | 0.9 | 0.3 | 0.2 | 1.3 | 0.9 | 8.9 | -14 | 26 | -0.5 | -1.4 | 34.8 | 30.0 | 73.7 | -1.04 | 271.0 | 41.3 |
Javon McKay
|
G | 23 | 22.3 | 5.2 | 3.1 | 1.3 | 0.9 | 0.7 | 1.0 | 0.8 | 9.4 | -101 | 26 | -3.9 | -7.4 | 63.2 | 16.7 | 55.6 | -4.76 | 259.1 | 65.8 |
Jordan Johnson
|
G | 25 | 17.2 | 4.9 | 1.4 | 0.9 | 0.8 | 0.1 | 1.2 | 1.0 | 6.0 | -11 | 26 | -0.4 | -1.0 | 48.0 | 45.0 | 85.7 | 1.16 | 219.0 | 66.0 |
Shirmane Thomas
|
G | 25 | 15.1 | 4.2 | 1.9 | 1.4 | 0.4 | 0.3 | 1.4 | 0.7 | 6.1 | -7 | 26 | -0.3 | -0.8 | 41.2 | 66.7 | 64.7 | 0.75 | 214.5 | 52.9 |
DeOndre Haynes
|
G | 12 | 8.2 | 3.7 | 0.8 | 0.5 | 0.6 | 0.2 | 0.8 | 0.1 | 4.9 | 27 | 12 | 2.2 | 12.0 | 0.0 | 0 | 50.0 | 3.79 | 1170.2 | 0.0 |
Matt Marseille
|
G | 17 | 9.9 | 3.0 | 2.5 | 0.1 | 0.2 | 0.2 | 0.6 | 0.4 | 5.0 | -29 | 20 | -1.4 | -6.2 | 83.3 | 0 | 80.0 | -2.62 | 311.0 | 83.3 |
Ammanuel Diressa
|
G | 11 | 8.3 | 2.6 | 1.2 | 0.5 | 0.3 | 0.0 | 0.5 | 0.2 | 4.0 | 0 | 11 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 1.08 | 725.0 | 0.0 |
Mitchell Hill
|
G | 7 | 8.6 | 1.9 | 0.4 | 0.6 | 0.3 | 0.0 | 0.7 | 0.0 | 2.4 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Anthony Morse
|
F | 18 | 6.7 | 1.7 | 1.1 | 0.1 | 0.3 | 0.3 | 0.4 | 0.0 | 3.1 | -26 | 18 | -1.4 | -12.3 | 0 | 0 | 0.0 | -3.9 | 1761.4 | 0 |
Javon McKay
|
- | 1 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 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