Elon
2016 Team Stats (2 games)
72.5
PPG
89.5
Opp
-17.0
Margin
39.4%
FG%
33.3%
3P%
66.7%
FT%
37.5
RPG
15.0
APG
14.5
TO
-
Est. poss./game
74.6
Adj PPG
74.6
Adj Opp PPG
#164
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 | 947 (#202) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1005 (#168) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 945 (#248) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +0.1 (#161) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +0.0 (#162) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.449 (#193) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.497 (#166) | AdjNet -0.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.496 (#166) | AdjNet -0.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.501 (#164) | AdjO 74.6 | AdjD 74.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.484 (#180) | AdjO 71.2 | AdjD 72.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.464 (#185) | 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 | 0.460 (#188) | 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 | 959 (#198) | RD 151 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tanner Samson
|
G | 25 | 28.1 | 12.7 | 4.6 | 2.1 | 0.8 | 0.5 | 1.2 | 2.1 | 17.4 | 92 | 28 | 3.3 | 5.1 | 48.1 | 46.3 | 84.2 | 2.44 | 262.6 | 66.3 |
Luke Eddy
|
G | 25 | 26.0 | 10.3 | 2.8 | 4.8 | 1.1 | 0.0 | 3.0 | 1.4 | 14.7 | 57 | 28 | 2.0 | 3.3 | 34.3 | 28.6 | 60.0 | -0.1 | 279.3 | 37.1 |
Tyler Seibring
|
F | 25 | 27.8 | 9.8 | 4.6 | 2.0 | 0.5 | 0.5 | 0.8 | 1.4 | 15.2 | 69 | 28 | 2.5 | 3.7 | 52.8 | 48.0 | 40.0 | 0.69 | 322.0 | 69.4 |
Dainan Swoope
|
G | 25 | 23.0 | 9.6 | 2.5 | 2.0 | 0.7 | 0.0 | 1.1 | 1.4 | 12.4 | 40 | 28 | 1.4 | 2.9 | 37.1 | 33.3 | 46.7 | 0.3 | 289.7 | 47.1 |
Christian Hairston
|
F | 25 | 22.4 | 9.0 | 6.2 | 1.2 | 0.6 | 0.4 | 1.2 | 1.4 | 14.9 | 43 | 28 | 1.5 | 3.1 | 50.0 | 0 | 47.4 | -0.43 | 265.6 | 50.0 |
Steve Santa Ana
|
G | 22 | 18.7 | 9.0 | 3.4 | 1.3 | 0.3 | 0.2 | 1.4 | 2.2 | 10.5 | 12 | 25 | 0.5 | 1.1 | 44.9 | 48.1 | 45.5 | -0.87 | 183.9 | 58.2 |
Dmitri Thompson
|
G | 25 | 24.4 | 8.9 | 5.0 | 1.2 | 1.0 | 0.1 | 1.9 | 1.6 | 12.7 | 33 | 28 | 1.2 | 2.0 | 45.0 | 50.0 | 69.2 | -1.27 | 243.9 | 47.5 |
Brian Dawkins
|
F | 18 | 14.5 | 5.7 | 2.6 | 0.5 | 0.4 | 0.3 | 1.1 | 0.6 | 7.8 | -3 | 22 | -0.1 | -0.4 | 45.5 | 0.0 | 0 | -3.32 | 468.2 | 45.5 |
Patrick Ryan
|
- | 3 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.3 | 1.0 | - | - | - | - | 100.0 | 0 | 0 | - | 300.0 | 100.0 |
Jack Anton
|
F | 25 | 8.7 | 2.0 | 1.3 | 0.5 | 0.1 | 0.1 | 0.5 | 0.3 | 3.3 | 3 | 27 | 0.1 | 0.6 | 62.5 | 33.3 | 100.0 | -0.78 | 302.1 | 68.8 |
Sam Hershberger
|
G | 6 | 2.0 | 1.7 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 1.7 | -1 | 7 | -0.1 | -2.8 | 0.0 | 0.0 | 0 | -0.66 | 500.0 | 0.0 |
Wes Brewer
|
F | 5 | 1.6 | 1.2 | 0.4 | 0.2 | 0.0 | 0.0 | 0.4 | 0.4 | 1.0 | 2 | 6 | 0.3 | 7.4 | 100.0 | 0 | 0 | -0.16 | 150.0 | 100.0 |
Karolis Kundrotas
|
F | 24 | 5.5 | 1.2 | 1.1 | 0.0 | 0.2 | 0.1 | 0.5 | 0.2 | 1.8 | -23 | 24 | -1.0 | -7.8 | 20.0 | 0.0 | 0 | -3.87 | 280.0 | 20.0 |
Sheldon Eberhardt
|
G | 11 | 5.1 | 1.1 | 0.6 | 0.4 | 0.3 | 0.0 | 0.5 | 0.5 | 1.5 | 7 | 14 | 0.5 | 3.9 | 40.0 | 0.0 | 0 | 1.14 | 120.0 | 40.0 |
Tony Sabato
|
C | 5 | 2.4 | 0.6 | 0.4 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Collin Luther
|
C | 17 | 6.2 | 0.5 | 0.7 | 0.4 | 0.2 | 0.0 | 0.2 | 0.4 | 1.2 | -20 | 19 | -1.1 | -8.2 | 28.6 | 0.0 | 100.0 | -2.83 | 57.1 | 28.6 |
Ryder Bowline
|
- | 3 | 2.0 | 0.0 | 0.3 | 0.7 | 0.0 | 0.0 | 0.3 | 0.0 | 0.7 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jack George
|
- | 4 | 1.5 | 0.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | - | - | - | - | 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