Tennessee State
2014 Team Stats (2 games)
65.5
PPG
80.5
Opp
-15.0
Margin
41.8%
FG%
20.5%
3P%
83.7%
FT%
28.0
RPG
9.0
APG
13.5
TO
-
Est. poss./game
64.6
Adj PPG
72.6
Adj Opp PPG
#285
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 | 804 (#309) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 721 (#332) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 925 (#274) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -8.5 (#284) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.1 (#235) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.220 (#310) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.199 (#283) | AdjNet -12.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.197 (#283) | AdjNet -12.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.325 (#285) | AdjO 64.6 | AdjD 72.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.435 (#237) | AdjO 66.3 | AdjD 69.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.291 (#277) | 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 | 0.311 (#276) | 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 | 751 (#318) | RD 183 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Miller
|
G | 23 | 37.9 | 23.8 | 4.7 | 4.0 | 1.6 | 0.1 | 3.3 | 1.7 | 29.3 | -125 | 22 | -5.7 | -6.6 | 45.0 | 27.3 | 78.8 | 1.04 | 501.7 | 48.8 |
M.J. Rhett
|
F | 22 | 32.7 | 11.5 | 9.3 | 0.7 | 0.6 | 1.0 | 2.3 | 0.7 | 20.3 | -108 | 21 | -5.1 | -7.0 | 66.7 | 0 | 62.5 | 0.13 | 685.7 | 66.7 |
Jay Harris
|
G | 23 | 24.5 | 7.7 | 2.7 | 1.5 | 0.8 | 0.0 | 1.0 | 0.9 | 10.7 | -67 | 22 | -3.0 | -5.9 | 38.1 | 30.0 | 90.0 | -0.57 | 350.4 | 45.2 |
Kennedy Eubanks
|
F | 22 | 26.2 | 7.5 | 5.4 | 0.8 | 0.6 | 0.7 | 1.1 | 1.1 | 12.7 | -149 | 21 | -7.1 | -11.2 | 45.8 | 22.2 | 50.0 | -2.19 | 329.6 | 50.0 |
Jaleel Queary
|
G | 20 | 19.6 | 4.5 | 2.5 | 1.1 | 0.4 | 0.1 | 1.1 | 0.2 | 7.2 | -140 | 20 | -7.0 | -15.4 | 50.0 | 0 | 100.0 | -5.64 | 911.9 | 50.0 |
Jamonte Graham
|
G | 20 | 16.6 | 4.2 | 1.2 | 1.5 | 0.5 | 0.1 | 1.1 | 0.8 | 5.7 | -5 | 18 | -0.3 | -0.7 | 37.5 | 33.3 | 100.0 | 0.94 | 251.8 | 43.8 |
Jacquan Nobles
|
G | 16 | 11.4 | 4.1 | 1.1 | 0.5 | 0.2 | 0.1 | 0.6 | 0.6 | 4.8 | -22 | 15 | -1.5 | -5.5 | 33.3 | 33.3 | 0 | -1.54 | 361.1 | 50.0 |
Chaed Wellian
|
F | 19 | 9.4 | 3.5 | 1.5 | 0.2 | 0.2 | 0.1 | 0.6 | 0.2 | 4.6 | 23 | 18 | 1.3 | 5.6 | 66.7 | 50.0 | 0 | 1.54 | 1100.0 | 83.3 |
Michael Green
|
F | 4 | 16.8 | 3.2 | 2.2 | 0.2 | 0.0 | 1.2 | 1.5 | 1.0 | 4.5 | - | - | - | - | 25.0 | 0.0 | 100.0 | -3.2 | 133.2 | 25.0 |
Jordan Gaither
|
G | 19 | 14.8 | 2.6 | 1.5 | 0.7 | 0.3 | 0.0 | 0.7 | 0.4 | 4.0 | -2 | 18 | -0.1 | -0.4 | 14.3 | 16.7 | 100.0 | -1.05 | 310.9 | 21.4 |
Gerald Williams
|
- | 5 | 14.0 | 2.6 | 0.8 | 0.4 | 0.6 | 0.0 | 0.2 | 0.0 | 4.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Ugo Mmonu
|
F | 16 | 10.1 | 2.3 | 1.4 | 0.1 | 0.1 | 0.4 | 0.8 | 0.2 | 3.4 | 18 | 14 | 1.3 | 6.6 | 33.3 | 0.0 | 50.0 | 2.11 | 476.8 | 33.3 |
Alex Bates
|
F | 22 | 10.2 | 1.0 | 1.6 | 0.2 | 0.3 | 0.3 | 0.1 | 0.1 | 3.1 | -64 | 22 | -2.9 | -11.8 | 100.0 | 0 | 66.7 | -3.1 | 316.3 | 100.0 |
Cameron Johnson
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 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