Davidson
2016 Team Stats (5 games)
71.2
PPG
80.4
Opp
-9.2
Margin
39.5%
FG%
31.4%
3P%
76.1%
FT%
35.2
RPG
12.4
APG
10.8
TO
-
Est. poss./game
79.1
Adj PPG
74.4
Adj Opp PPG
#106
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 | 1160 (#88) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1138 (#85) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1051 (#99) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +5.2 (#103) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +5.8 (#93) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.522 (#166) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.709 (#103) | AdjNet +7.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.711 (#103) | AdjNet +7.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.605 (#106) | AdjO 79.1 | AdjD 74.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.566 (#114) | AdjO 76.0 | AdjD 73.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.651 (#100) | 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 | 0.643 (#99) | 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 | 1143 (#83) | RD 114 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jack Gibbs
|
G | 29 | 35.7 | 23.6 | 4.1 | 5.0 | 1.6 | 0.1 | 3.3 | 6.9 | 24.1 | 9 | 25 | 0.4 | 0.4 | 38.0 | 28.1 | 83.0 | 0.63 | 153.1 | 44.2 |
Peyton Aldridge
|
F | 31 | 34.5 | 15.3 | 6.6 | 2.1 | 0.5 | 0.9 | 1.5 | 3.9 | 20.2 | 33 | 26 | 1.3 | 1.6 | 52.9 | 32.5 | 79.6 | 3.36 | 166.6 | 58.3 |
Brian Sullivan
|
G | 28 | 37.1 | 13.8 | 3.8 | 3.4 | 0.9 | 0.1 | 1.3 | 3.8 | 17.0 | 9 | 23 | 0.4 | 0.5 | 37.7 | 39.5 | 88.9 | 0.58 | 169.4 | 51.9 |
Jordan Barham
|
G | 28 | 14.6 | 8.7 | 3.8 | 0.8 | 0.2 | 0.2 | 0.6 | 1.9 | 11.2 | -10 | 23 | -0.4 | -1.6 | 60.4 | 0 | 65.6 | -1.33 | 181.9 | 60.4 |
Jordan Watkins
|
G | 26 | 22.2 | 5.8 | 2.3 | 1.1 | 0.5 | 0.1 | 0.9 | 2.0 | 6.8 | -103 | 23 | -4.5 | -8.6 | 39.6 | 43.2 | 100.0 | -4.37 | 130.4 | 57.5 |
Nathan Ekwu
|
F | 31 | 19.7 | 5.7 | 5.9 | 0.8 | 0.4 | 1.1 | 0.8 | 1.3 | 11.8 | -4 | 26 | -0.2 | -0.3 | 36.6 | 0.0 | 61.5 | 0.9 | 168.8 | 36.6 |
Jake Belford
|
F | 5 | 20.6 | 4.8 | 4.6 | 0.4 | 0.4 | 0.4 | 0.6 | 2.2 | 7.8 | - | - | - | - | 36.4 | 28.6 | 80.0 | -0.2 | 90.9 | 45.5 |
Oskar Michelsen
|
F | 30 | 18.1 | 4.2 | 1.9 | 1.0 | 0.2 | 0.2 | 0.6 | 1.3 | 5.7 | 35 | 25 | 1.4 | 3.6 | 28.2 | 22.6 | 83.3 | 0.75 | 143.4 | 37.2 |
Andrew McAuliffe
|
F | 30 | 12.1 | 3.2 | 2.5 | 0.6 | 0.2 | 0.2 | 0.7 | 1.1 | 4.9 | 0 | 26 | 0.0 | 0.0 | 63.6 | 50.0 | 28.6 | -0.4 | 133.0 | 65.2 |
Rusty Reigel
|
G | 27 | 16.9 | 2.4 | 1.9 | 1.1 | 0.0 | 0.1 | 0.4 | 0.6 | 4.6 | 34 | 25 | 1.4 | 3.5 | 46.7 | 25.0 | 100.0 | -0.38 | 191.9 | 53.3 |
Kamau Faines
|
G | 3 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | - | 0 | 0 | 0 | -0.22 | 0 | 0 |
Manu Giamoukis
|
G | 3 | 2.0 | 0.3 | 0.3 | 0.0 | 0.3 | 0.0 | 0.3 | 0.0 | 0.7 | - | - | - | - | 0 | 0 | 0 | -0.22 | 0 | 0 |
Matt Williams
|
G | 5 | 1.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 3 | 6 | 0.5 | 12.5 | 0 | 0 | 0 | -0.24 | 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