High Point
2018 Team Stats (1 games)
64.0
PPG
65.0
Opp
-1.0
Margin
46.2%
FG%
42.9%
3P%
66.7%
FT%
35.0
RPG
14.0
APG
15.0
TO
-
Est. poss./game
64.8
Adj PPG
69.8
Adj Opp PPG
#237
Scoring Rank
Model Outputs
2017-2018
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 | 764 (#303) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 880 (#265) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 955 (#240) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -5.6 (#242) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -6.4 (#262) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.484 (#181) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.287 (#243) | AdjNet -7.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.284 (#243) | AdjNet -8.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.389 (#237) | AdjO 64.8 | AdjD 69.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.420 (#251) | AdjO 65.8 | AdjD 69.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.337 (#256) | 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 | 0.343 (#259) | 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 | 843 (#282) | RD 160 | GP 27 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jahaad Proctor
|
G | 18 | 32.9 | 16.3 | 3.5 | 2.8 | 0.9 | 0.1 | 2.1 | 1.8 | 19.8 | 37 | 21 | 1.8 | 2.6 | 31.2 | 33.3 | 100.0 | 0.25 | 435.4 | 39.1 |
Andre Fox
|
G | 22 | 29.0 | 15.0 | 4.5 | 1.5 | 1.0 | 0.2 | 2.2 | 1.5 | 18.6 | 27 | 23 | 1.2 | 1.8 | 56.2 | 66.7 | 78.9 | -0.19 | 408.8 | 68.8 |
Brandon Kamga
|
G | 21 | 26.9 | 11.2 | 3.5 | 2.0 | 0.9 | 0.2 | 2.1 | 1.3 | 14.4 | 46 | 22 | 2.1 | 3.4 | 33.3 | 0.0 | 100.0 | -0.12 | 360.6 | 33.3 |
Jordan Whitehead
|
F | 23 | 21.3 | 5.8 | 4.9 | 0.7 | 0.6 | 0.2 | 0.6 | 0.5 | 11.0 | 24 | 24 | 1.0 | 2.3 | 50.0 | 0 | 33.3 | -0.66 | 503.0 | 50.0 |
Justyn Mutts
|
- | 21 | 21.2 | 5.6 | 4.0 | 1.3 | 1.2 | 1.1 | 1.5 | 0.3 | 11.4 | 10 | 22 | 0.5 | 1.0 | 71.4 | 0 | 0 | 0.04 | 842.9 | 71.4 |
Denny Slay II
|
G | 23 | 22.3 | 5.4 | 1.9 | 1.9 | 0.5 | 0.0 | 1.3 | 1.0 | 7.4 | 28 | 23 | 1.2 | 2.5 | 59.1 | 55.6 | 66.7 | 0.18 | 265.9 | 70.5 |
Ricky Madison
|
F | 22 | 15.5 | 5.0 | 3.8 | 0.2 | 0.4 | 0.2 | 0.6 | 0.6 | 8.2 | 12 | 22 | 0.5 | 1.4 | 78.6 | 0 | 100.0 | -1.0 | 377.4 | 78.6 |
Jamal Wright
|
G | 16 | 13.8 | 3.6 | 1.4 | 1.8 | 0.9 | 0.1 | 1.6 | 0.2 | 6.1 | - | - | - | - | 0.0 | 0.0 | 0 | - | 966.7 | 0.0 |
Cliff Thomas
|
F | 11 | 6.6 | 3.4 | 2.1 | 0.0 | 0.0 | 0.5 | 0.3 | 0.0 | 5.7 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Austin White
|
G | 23 | 17.3 | 3.3 | 1.1 | 0.5 | 0.8 | 0.1 | 0.4 | 0.5 | 4.9 | 42 | 23 | 1.8 | 4.9 | 36.4 | 0.0 | 100.0 | 1.19 | 332.2 | 36.4 |
Dexter Gooding
|
G | 5 | 8.0 | 3.2 | 1.8 | 0.6 | 1.0 | 0.4 | 0.6 | 0.0 | 6.4 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Luke Vargo
|
F | 23 | 11.0 | 2.7 | 1.5 | 0.3 | 0.1 | 0.1 | 0.3 | 0.2 | 4.2 | 2 | 22 | 0.1 | 0.4 | 60.0 | 0 | 0 | -3.04 | 630.0 | 60.0 |
Sam Berlin
|
C | 9 | 5.8 | 2.3 | 3.0 | 0.2 | 0.2 | 0.1 | 0.3 | 0.0 | 5.6 | - | - | - | - | 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