Radford
2014 Team Stats (2 games)
84.0
PPG
84.0
Opp
+0.0
Margin
52.5%
FG%
28.6%
3P%
76.6%
FT%
26.5
RPG
11.0
APG
9.0
TO
-
Est. poss./game
70.3
Adj PPG
75.8
Adj Opp PPG
#263
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 | 997 (#179) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 975 (#186) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1034 (#123) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -6.2 (#267) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -5.1 (#254) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.515 (#161) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.244 (#269) | AdjNet -9.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.241 (#269) | AdjNet -9.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.378 (#263) | AdjO 70.3 | AdjD 75.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.439 (#233) | AdjO 73.3 | AdjD 75.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.395 (#234) | 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 | 0.407 (#231) | 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 | 956 (#201) | RD 109 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Javonte Green
|
F | 31 | 25.7 | 17.6 | 8.3 | 1.1 | 1.8 | 0.6 | 1.6 | 2.0 | 25.9 | 131 | 26 | 5.0 | 8.4 | 58.1 | 0.0 | 73.7 | 3.91 | 388.0 | 58.1 |
R.J. Price
|
G | 31 | 29.5 | 13.4 | 2.4 | 3.0 | 1.5 | 0.1 | 1.4 | 1.9 | 17.1 | 65 | 26 | 2.5 | 3.6 | 38.3 | 28.6 | 84.6 | -0.81 | 316.5 | 45.0 |
Y. Anderson
|
G | 31 | 30.4 | 11.7 | 3.1 | 2.4 | 0.7 | 0.1 | 1.1 | 1.2 | 15.6 | 41 | 26 | 1.6 | 2.3 | 32.4 | 15.8 | 71.4 | -1.99 | 452.8 | 36.5 |
Rashun Davis
|
G | 31 | 24.1 | 10.7 | 2.4 | 3.5 | 1.1 | 0.0 | 2.2 | 1.2 | 14.3 | 18 | 26 | 0.7 | 1.3 | 44.7 | 33.3 | 69.6 | -0.46 | 345.0 | 48.7 |
Jalen Carethers
|
F | 31 | 16.1 | 6.5 | 3.3 | 0.5 | 0.5 | 1.3 | 0.6 | 1.0 | 10.5 | -2 | 26 | -0.1 | -0.2 | 43.3 | 0 | 60.0 | -0.9 | 312.1 | 43.3 |
Kion Brown
|
F | 31 | 15.8 | 6.0 | 2.5 | 0.2 | 0.1 | 0.0 | 1.1 | 0.6 | 7.1 | -19 | 26 | -0.7 | -2.0 | 70.0 | 0 | 70.0 | -3.66 | 383.2 | 70.0 |
Brandon Holcomb
|
C | 31 | 19.8 | 5.8 | 4.5 | 0.5 | 0.5 | 1.0 | 1.1 | 0.6 | 10.5 | 47 | 26 | 1.8 | 3.8 | 45.0 | 0 | 66.7 | -1.89 | 373.5 | 45.0 |
Kyle Noreen
|
F | 31 | 23.2 | 4.1 | 3.2 | 1.6 | 0.5 | 0.4 | 0.5 | 0.6 | 8.6 | 72 | 26 | 2.8 | 5.3 | 55.6 | 37.5 | 100.0 | 0.41 | 339.0 | 63.9 |
Allen Dickerson
|
G | 27 | 8.7 | 1.9 | 0.8 | 0.4 | 0.4 | 0.0 | 0.4 | 0.3 | 2.9 | 48 | 25 | 1.9 | 9.1 | 50.0 | 0.0 | 100.0 | 1.47 | 292.8 | 50.0 |
Juwan Wells
|
- | 6 | 3.2 | 1.5 | 1.0 | 0.3 | 0.5 | 0.2 | 0.5 | 0.0 | 3.0 | - | - | - | - | 0 | 0 | 50.0 | - | 511.4 | 0 |
Justin Cousin
|
G | 26 | 5.3 | 1.1 | 0.6 | 0.2 | 0.1 | 0.0 | 0.5 | 0.2 | 1.3 | -18 | 20 | -0.9 | -6.7 | 0.0 | 0.0 | 100.0 | -3.59 | 286.9 | 0.0 |
Taj Owens
|
G | 12 | 4.4 | 0.8 | 0.7 | 0.6 | 0.0 | 0.1 | 0.2 | 0.1 | 1.8 | - | - | - | - | 0.0 | 0 | 0 | - | 450.0 | 0.0 |
Kyle Gonzalez
|
- | 8 | 2.6 | 0.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.4 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Lucas Dyer
|
F | 3 | 11.7 | 0.0 | 3.0 | 0.7 | 0.7 | 0.3 | 0.7 | 0.7 | 3.3 | - | - | - | - | 0.0 | 0 | 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