Cincinnati
2018 Team Stats (28 games)
74.4
PPG
56.7
Opp
+17.0
Margin
44.7%
FG%
34.6%
3P%
69.8%
FT%
39.0
RPG
16.8
APG
10.0
TO
78.1
Pace
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 → | 1396 (#81) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1471 (#46) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.9 (#31) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.897 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.902 (#1) | NetEff +17.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.950 (#2) | AdjNet +25.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.952 (#2) | AdjNet +25.7 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Evans
|
- | 32 | 31.0 | 13.0 | 4.8 | 3.2 | 1.3 | 0.9 | 1.6 | 10.1 | 11.4 | -15 | -1.2 | -4.0 | 42.7 | 37.5 | 78.0 | 0.39 | 56.5 | 50.6 |
Gary Clark
|
- | 32 | 28.5 | 12.8 | 8.3 | 2.1 | 1.5 | 1.3 | 1.0 | 8.0 | 17.0 | - | - | - | 52.5 | 44.4 | 72.8 | 0.37 | 64.7 | 57.2 |
Jarron Cumberland
|
- | 32 | 29.3 | 11.7 | 3.8 | 2.9 | 1.0 | 0.3 | 1.7 | 9.1 | 9.0 | - | - | - | 41.7 | 34.2 | 69.9 | - | 55.8 | 51.0 |
K. Washington
|
F | 32 | 23.7 | 11.6 | 5.7 | 0.4 | 0.2 | 1.5 | 1.2 | 9.2 | 9.2 | -5 | -0.6 | -1.0 | 49.7 | 33.3 | 70.8 | 0.54 | 57.7 | 52.7 |
C. Broome
|
G | 30 | 20.5 | 7.4 | 1.4 | 3.0 | 0.9 | 0.0 | 1.2 | 5.7 | 5.7 | - | - | - | 43.5 | 37.1 | 69.8 | - | 57.2 | 51.2 |
J. Jenifer
|
G | 32 | 19.4 | 4.6 | 1.1 | 2.4 | 0.5 | 0.0 | 0.6 | 3.4 | 4.6 | - | - | - | 35.2 | 34.8 | 82.0 | - | 56.9 | 46.3 |
M. Diarra
|
F | 6 | 7.7 | 3.3 | 2.2 | 0.3 | 0.2 | 0.8 | 0.5 | 3.3 | 3.0 | - | - | - | 35.0 | 50.0 | 83.3 | - | 44.2 | 37.5 |
T. Scott
|
- | 32 | 12.2 | 3.2 | 3.8 | 0.9 | 0.4 | 0.2 | 0.5 | 2.1 | 5.8 | - | - | - | 55.9 | 0.0 | 58.5 | - | 59.3 | 55.9 |
T. Moore
|
G | 32 | 11.6 | 3.1 | 1.6 | 0.3 | 0.5 | 0.1 | 0.4 | 2.8 | 2.4 | 31 | 2.8 | 3.9 | 30.0 | 27.5 | 67.6 | 0.99 | 47.2 | 40.6 |
K. Williams
|
G | 29 | 9.7 | 3.0 | 1.1 | 0.4 | 0.4 | 0.2 | 0.7 | 2.8 | 1.6 | 22 | 2.2 | 6.5 | 39.0 | 14.3 | 55.6 | 0.68 | 45.8 | 40.9 |
N. Brooks
|
C | 31 | 9.5 | 2.7 | 2.2 | 0.3 | 0.3 | 0.6 | 0.6 | 2.2 | 3.2 | - | - | - | 50.7 | 0 | 47.8 | -0.39 | 52.5 | 50.7 |
E. Nsoseme
|
F | 25 | 5.8 | 0.9 | 1.6 | 0.2 | 0.1 | 0.4 | 0.3 | 0.7 | 2.2 | - | - | - | 55.6 | 0 | 16.7 | - | 49.4 | 55.6 |
J. Bart
|
F | 10 | 1.3 | 0.3 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.1 | - | - | - | 25.0 | 25.0 | 0 | - | 37.5 | 37.5 |
J. Koz
|
G | 7 | 1.1 | 0.3 | 0.3 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.4 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
S. Martin
|
G | 8 | 1.9 | 0.0 | 0.1 | 0.2 | 0.0 | 0.0 | 0.2 | 0.6 | -0.5 | - | - | - | 0.0 | 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