Mercer
2016 Team Stats (1 games)
71.0
PPG
61.0
Opp
+10.0
Margin
52.1%
FG%
42.9%
3P%
75.0%
FT%
38.0
RPG
20.0
APG
15.0
TO
-
Est. poss./game
66.7
Adj PPG
67.7
Adj Opp PPG
#181
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 | 864 (#247) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1012 (#163) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 948 (#245) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -1.2 (#186) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -5.4 (#246) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.559 (#142) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.426 (#191) | AdjNet -2.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.425 (#191) | AdjNet -2.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.479 (#181) | AdjO 66.7 | AdjD 67.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.433 (#222) | AdjO 67.1 | AdjD 70.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.405 (#215) | 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 | 0.396 (#220) | 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 | 921 (#228) | RD 122 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jestin Lewis
|
G | 20 | 26.4 | 13.6 | 3.5 | 1.9 | 1.6 | 0.1 | 1.6 | 1.6 | 17.2 | 29 | 17 | 1.7 | 2.7 | 54.5 | 46.7 | 92.9 | -0.19 | 346.0 | 65.2 |
Stephon Jelks
|
F | 29 | 29.1 | 11.8 | 8.3 | 1.9 | 0.9 | 0.3 | 1.4 | 0.9 | 21.0 | 94 | 27 | 3.5 | 5.0 | 44.4 | 30.8 | 50.0 | 2.3 | 546.2 | 51.9 |
Demetre Rivers
|
G | 29 | 23.8 | 10.2 | 3.2 | 0.8 | 0.3 | 0.2 | 1.7 | 0.4 | 12.6 | 65 | 27 | 2.4 | 4.1 | 38.5 | 28.6 | 100.0 | 1.75 | 1062.7 | 46.2 |
Phillip Leonard
|
G | 29 | 26.9 | 10.1 | 4.4 | 4.8 | 0.4 | 0.0 | 1.9 | 0.6 | 17.1 | 42 | 27 | 1.6 | 2.5 | 66.7 | 0 | 47.1 | 0.36 | 575.0 | 66.7 |
Jordan Strawberry
|
G | 29 | 24.5 | 8.1 | 2.3 | 3.7 | 1.1 | 0.0 | 1.8 | 0.4 | 13.0 | 22 | 27 | 0.8 | 1.4 | 30.8 | 40.0 | 100.0 | 0.28 | 846.5 | 38.5 |
Desmond Ringer
|
F | 20 | 24.7 | 7.4 | 4.8 | 0.7 | 0.2 | 0.9 | 1.4 | 0.8 | 11.7 | 40 | 17 | 2.4 | 4.2 | 70.6 | 0 | 100.0 | -0.69 | 345.8 | 70.6 |
Ethan Stair
|
G | 29 | 23.6 | 6.4 | 4.3 | 1.1 | 0.6 | 0.2 | 1.4 | 0.5 | 10.7 | -18 | 27 | -0.7 | -1.2 | 60.0 | 60.0 | 75.0 | -2.65 | 557.9 | 70.0 |
Jibri Bryan
|
G | 6 | 10.8 | 3.2 | 2.7 | 0.7 | 0.3 | 0.0 | 0.7 | 0.5 | 5.7 | - | - | - | - | 0.0 | 0.0 | 83.3 | - | 168.4 | 0.0 |
Lawrence Brown
|
G | 29 | 12.4 | 3.2 | 2.4 | 0.2 | 0.3 | 0.2 | 0.6 | 0.1 | 5.7 | -22 | 26 | -0.8 | -2.9 | 25.0 | 0 | 0 | -2.69 | 1162.5 | 25.0 |
Andrew Fishler
|
C | 25 | 7.9 | 2.9 | 2.0 | 0.0 | 0.1 | 0.8 | 0.4 | 0.1 | 5.4 | -17 | 23 | -0.7 | -4.0 | 50.0 | 0 | 50.0 | -2.98 | 1267.4 | 50.0 |
Cory Kilby
|
F | 29 | 8.3 | 2.5 | 1.7 | 0.3 | 0.1 | 0.1 | 0.4 | 0.2 | 4.2 | -29 | 27 | -1.1 | -6.6 | 66.7 | 66.7 | 0.0 | -0.66 | 566.8 | 83.3 |
Jaylen Stowe
|
G | 14 | 5.4 | 1.9 | 1.1 | 0.3 | 0.1 | 0.0 | 0.4 | 0.0 | 3.0 | -33 | 15 | -2.2 | -21.8 | 0 | 0 | 0.0 | -5.68 | 1534.1 | 0 |
Tyre Moore
|
- | 10 | 2.9 | 0.7 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.9 | - | - | - | - | 0.0 | 0.0 | 0 | - | 350.0 | 0.0 |
Niklas Ney
|
F | 9 | 4.0 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.4 | 0.0 | 0.9 | -1 | 9 | -0.1 | -1.6 | 0 | 0 | 0 | -0.79 | 0 | 0 |
James Bento
|
F | 22 | 5.3 | 0.6 | 1.4 | 0.2 | 0.1 | 0.1 | 0.1 | 0.0 | 2.3 | -16 | 20 | -0.8 | -6.5 | 0 | 0 | 0 | -1.18 | 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