Cincinnati
2018 Team Stats (28 games)
74.4
PPG
56.0
Opp
+18.4
Margin
44.7%
FG%
34.6%
3P%
69.8%
FT%
39.0
RPG
16.8
APG
10.0
TO
-
Est. poss./game
73.6
Adj PPG
55.4
Adj Opp PPG
#6
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 | 1472 (#5) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1353 (#5) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1173 (#7) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +19.0 (#8) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.6 (#14) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.950 (#1) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.969 (#5) | AdjNet +29.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.970 (#6) | AdjNet +30.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.839 (#6) | AdjO 73.6 | AdjD 55.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.765 (#4) | AdjO 70.0 | AdjD 57.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.896 (#6) | 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 | 0.887 (#5) | 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 | 1380 (#5) | RD 105 | GP 36 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gary Clark
|
- | 35 | 28.7 | 12.9 | 8.6 | 2.1 | 1.4 | 1.2 | 1.0 | 7.3 | 17.9 | 358 | 30 | 11.9 | 18.2 | 52.5 | 44.4 | 72.8 | 3.83 | 71.2 | 57.2 |
Jacob Evans
|
- | 35 | 30.8 | 12.8 | 4.7 | 3.1 | 1.3 | 0.9 | 1.7 | 9.2 | 11.9 | 377 | 29 | 13.0 | 17.4 | 42.7 | 37.5 | 78.0 | 4.74 | 61.2 | 50.6 |
Kyle Washington
|
F | 35 | 23.5 | 11.5 | 5.5 | 0.4 | 0.3 | 1.4 | 1.2 | 8.4 | 9.5 | 286 | 30 | 9.5 | 17.9 | 49.7 | 33.3 | 70.8 | 2.21 | 62.3 | 52.7 |
Jarron Cumberland
|
- | 35 | 29.1 | 11.5 | 3.9 | 2.8 | 1.0 | 0.4 | 1.8 | 8.3 | 9.5 | 369 | 29 | 12.7 | 18.3 | 41.7 | 34.2 | 69.9 | 3.7 | 60.2 | 51.0 |
Cane Broome
|
G | 33 | 20.5 | 7.6 | 1.5 | 2.8 | 0.9 | 0.1 | 1.4 | 5.2 | 6.3 | 196 | 28 | 7.0 | 15.0 | 43.5 | 37.1 | 69.8 | -0.86 | 64.9 | 51.2 |
Justin Jenifer
|
G | 35 | 19.5 | 4.5 | 1.1 | 2.5 | 0.5 | 0.0 | 0.7 | 3.1 | 4.8 | 197 | 30 | 6.6 | 14.8 | 35.2 | 34.8 | 82.0 | -1.49 | 61.2 | 46.3 |
Trevor Moore
|
G | 34 | 11.9 | 3.3 | 1.7 | 0.4 | 0.5 | 0.1 | 0.4 | 2.6 | 2.9 | 78 | 29 | 2.7 | 10.5 | 30.0 | 27.5 | 67.6 | -0.71 | 52.9 | 40.6 |
Mamoudou 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 | -1.19 | 44.2 | 37.5 |
Tre Scott
|
- | 35 | 12.5 | 3.0 | 3.6 | 0.8 | 0.4 | 0.2 | 0.6 | 1.9 | 5.5 | 50 | 30 | 1.7 | 5.9 | 55.9 | 0.0 | 58.5 | -2.23 | 61.6 | 55.9 |
Keith Williams
|
G | 32 | 9.7 | 2.8 | 1.1 | 0.4 | 0.5 | 0.2 | 0.8 | 2.6 | 1.6 | 48 | 27 | 1.8 | 8.5 | 39.0 | 14.3 | 55.6 | -2.29 | 48.5 | 40.9 |
Nysier Brooks
|
C | 34 | 9.7 | 2.6 | 2.2 | 0.2 | 0.3 | 0.6 | 0.6 | 2.0 | 3.3 | 85 | 29 | 2.9 | 14.0 | 50.7 | 0 | 47.8 | -0.21 | 56.2 | 50.7 |
Eliel Nsoseme
|
F | 27 | 5.7 | 0.9 | 1.5 | 0.2 | 0.1 | 0.4 | 0.3 | 0.7 | 2.1 | 53 | 24 | 2.2 | 16.2 | 55.6 | 0 | 16.7 | 2.3 | 49.4 | 55.6 |
Jackson Bart
|
F | 11 | 1.3 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.4 | 0 | 9 | 0.0 | 0.0 | 25.0 | 25.0 | 0 | -1.47 | 75.0 | 37.5 |
John Koz
|
G | 7 | 1.1 | 0.3 | 0.3 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.4 | 7 | 6 | 1.2 | 40.9 | 100.0 | 0 | 0 | -0.01 | 100.0 | 100.0 |
Sam Martin
|
G | 9 | 1.9 | 0.2 | 0.1 | 0.2 | 0.0 | 0.0 | 0.2 | 0.6 | -0.2 | 5 | 8 | 0.6 | 13.8 | 0.0 | 0.0 | 0 | -0.36 | 20.0 | 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