Gardner-Webb Runnin'
2014 Team Stats (3 games)
68.0
PPG
76.3
Opp
-8.3
Margin
42.2%
FG%
28.9%
3P%
72.6%
FT%
35.7
RPG
10.7
APG
13.0
TO
-
Est. poss./game
66.3
Adj PPG
71.4
Adj Opp PPG
#254
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 | 952 (#217) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 928 (#232) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1030 (#128) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -5.8 (#259) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.0 (#230) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.483 (#184) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.277 (#256) | AdjNet -8.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.274 (#256) | AdjNet -8.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.386 (#254) | AdjO 66.3 | AdjD 71.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.472 (#200) | AdjO 68.7 | 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 | 0.395 (#235) | 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 | 0.412 (#229) | 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 | 909 (#238) | RD 150 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jerome Hill
|
F | 22 | 30.0 | 15.4 | 7.9 | 1.3 | 0.6 | 0.5 | 1.9 | 1.8 | 22.0 | 5 | 15 | 0.3 | 0.5 | 64.1 | 0.0 | 58.6 | 0.2 | 326.5 | 64.1 |
Naji Hibbert
|
G | 3 | 28.7 | 11.3 | 3.3 | 1.7 | 1.0 | 0.0 | 1.3 | 11.3 | 4.7 | -10 | 15 | -0.7 | -1.0 | 38.2 | 35.7 | 100.0 | 0.52 | 48.1 | 45.6 |
Tyler Strange
|
G | 24 | 34.0 | 10.7 | 2.6 | 4.9 | 1.7 | 0.0 | 1.7 | 1.4 | 16.8 | -26 | 16 | -1.6 | -2.2 | 41.2 | 50.0 | 75.0 | -0.85 | 359.3 | 55.9 |
Donta Harper
|
F | 21 | 27.2 | 9.4 | 4.1 | 1.5 | 1.2 | 0.5 | 2.4 | 1.8 | 12.6 | 24 | 16 | 1.5 | 2.4 | 43.2 | 0 | 100.0 | 2.74 | 239.1 | 43.2 |
Tyrell Nelson
|
F | 24 | 20.5 | 8.8 | 5.1 | 0.4 | 0.8 | 0.5 | 1.2 | 0.7 | 13.5 | -66 | 16 | -4.1 | -8.6 | 43.8 | 0 | 60.0 | -4.01 | 576.9 | 43.8 |
Onzie Branch
|
G | 24 | 15.5 | 5.7 | 3.0 | 1.1 | 0.4 | 0.2 | 1.2 | 0.8 | 8.4 | 24 | 16 | 1.5 | 4.4 | 50.0 | 0.0 | 71.4 | 2.14 | 261.9 | 50.0 |
Isaiah Ivey
|
G | 18 | 15.4 | 4.7 | 1.3 | 0.3 | 0.4 | 0.3 | 0.3 | 0.3 | 6.3 | -35 | 11 | -3.2 | -9.4 | 16.7 | 20.0 | 100.0 | -1.96 | 617.7 | 25.0 |
Jarvis Davis
|
G | 15 | 10.1 | 3.2 | 1.1 | 0.5 | 0.3 | 0.0 | 0.4 | 0.7 | 4.1 | -4 | 10 | -0.4 | -1.5 | 40.0 | 0.0 | 100.0 | -1.43 | 196.7 | 40.0 |
Josh Castellanos
|
G | 3 | 17.0 | 3.0 | 0.3 | 1.0 | 0.3 | 0.0 | 1.3 | 3.0 | 0.3 | -56 | 16 | -3.5 | -7.7 | 22.2 | 0.0 | 83.3 | -4.71 | 38.7 | 22.2 |
Michael Byron
|
C | 24 | 14.8 | 2.9 | 3.2 | 0.3 | 0.4 | 1.0 | 0.8 | 0.5 | 6.5 | -40 | 16 | -2.5 | -7.5 | 36.4 | 0 | 50.0 | -3.69 | 290.4 | 36.4 |
Logan Stumpf
|
- | 7 | 5.1 | 2.1 | 1.0 | 0.1 | 0.1 | 0.1 | 0.3 | 0.0 | 3.3 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Sweeney
|
G | 2 | 5.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Donell Tuff
|
- | 4 | 6.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 1.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Corey Hensley
|
C | 6 | 4.0 | 0.3 | 0.3 | 0.0 | 0.2 | 0.0 | 0.2 | 0.2 | 0.5 | - | - | - | - | 100.0 | 0 | 0 | -1.73 | 100.0 | 100.0 |
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