UNLV
2022 Team Stats (4 games)
67.0
PPG
66.7
Opp
+2.6
Margin
41.0%
FG%
31.3%
3P%
81.2%
FT%
29.5
RPG
13.0
APG
10.5
TO
73.6
Pace
Model Outputs
2021-2022
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 → | 1142 (#179) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1288 (#104) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1030 (#133) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#231) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.7 (#98) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.8 (#100) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.7 (#510) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.372 (#80) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.377 (#162) | NetEff -4.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.312 (#88) | AdjNet -6.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.312 (#87) | AdjNet -6.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.605 (#122) | AdjO 69.2 | AdjD 64.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.470 (#374) | AdjO 68.5 | AdjD 69.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.825 (#99) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.217 (#529) | 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 → | 0.794 (#103) | 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 → | 0.267 (#522) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1151 (#104) | RD 132 | GP 30 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 928 (#359) | RD 350 | GP 1 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Hamilton
|
G | 24 | 33.9 | 24.0 | 5.2 | 2.2 | 0.8 | 0.1 | 2.1 | 4.8 | 25.4 | 88 | 2.8 | 3.4 | 40.0 | 32.7 | 78.8 | 0.95 | 222.0 | 47.0 |
B. Horvath
|
F | 1 | 33.0 | 17.0 | 9.0 | 5.0 | 0.0 | 1.0 | 2.0 | 0.0 | 30.0 | 209 | 6.1 | 7.9 | 0 | 0 | 0 | 1.2 | 0 | 0 |
D. Williams
|
- | 19 | 22.1 | 13.8 | 3.0 | 1.1 | 0.8 | 0.4 | 1.8 | 2.7 | 14.6 | -43 | -1.4 | -2.9 | 45.1 | 35.7 | 76.2 | 1.71 | 218.3 | 50.0 |
T. Pulliam
|
G | 1 | 24.0 | 11.0 | 2.0 | 2.0 | 0.0 | 0.0 | 3.0 | 0.0 | 12.0 | 189 | 6.1 | 8.2 | 0 | 0 | 0 | 1.31 | 0 | 0 |
R. Hamm Jr.
|
F | 17 | 24.9 | 7.1 | 8.7 | 0.6 | 0.2 | 0.8 | 2.2 | 1.5 | 13.7 | 130 | 4.6 | 9.8 | 42.3 | 33.3 | 54.5 | 1.59 | 194.6 | 48.1 |
C. Baker-Mazara
|
- | 2 | 13.5 | 6.5 | 3.5 | 0.5 | 1.5 | 1.5 | 2.0 | 3.0 | 8.5 | 86 | 2.8 | 8.4 | 83.3 | 100.0 | 0 | 0.7 | 108.3 | 91.7 |
J. McCabe
|
- | 29 | 30.9 | 6.3 | 1.8 | 4.9 | 1.1 | 0.1 | 1.4 | 1.6 | 11.3 | 94 | 3.0 | 4.1 | 24.4 | 20.7 | 66.7 | 1.24 | 198.6 | 31.1 |
R. Economou
|
G | 1 | 10.0 | 6.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 6.0 | 63 | 4.8 | 16.2 | 0 | 0 | 0 | 0.46 | 0 | 0 |
M. Nuga
|
G | 23 | 20.7 | 6.0 | 2.8 | 1.0 | 0.5 | 0.0 | 0.9 | 1.4 | 8.1 | 64 | 2.1 | 4.1 | 31.2 | 26.7 | 100.0 | 0.47 | 188.2 | 37.5 |
Justin Webster
|
- | 29 | 16.6 | 5.1 | 1.2 | 0.5 | 0.3 | 0.0 | 0.3 | 1.0 | 5.8 | 33 | 1.1 | 2.6 | 27.6 | 33.3 | 100.0 | -0.03 | 229.1 | 37.9 |
L. Moerman
|
C | 2 | 14.0 | 5.0 | 2.5 | 0.5 | 0.0 | 0.0 | 1.0 | 0.0 | 7.0 | -184 | -6.8 | -14.1 | 0 | 0 | 0 | -1.26 | 0 | 0 |
J. Baker
|
- | 12 | 17.8 | 4.2 | 1.1 | 1.2 | 0.4 | 0.0 | 0.7 | 1.0 | 5.2 | 122 | 3.6 | 11.6 | 41.7 | 30.0 | 100.0 | 0.79 | 181.7 | 54.2 |
C. Simmons
|
G | 2 | 16.0 | 3.5 | 1.5 | 0.5 | 0.5 | 0.5 | 0.5 | 0.0 | 6.0 | -47 | -2.1 | -6.4 | 0 | 0 | 0 | -0.07 | 0 | 0 |
David Muoka
|
- | 30 | 13.0 | 2.6 | 3.8 | 0.2 | 0.3 | 0.9 | 0.4 | 0.4 | 7.0 | - | - | - | 50.0 | 0 | 33.3 | 0.85 | 289.0 | 50.0 |
K. Gilbert
|
G | 30 | 14.5 | 2.5 | 2.4 | 1.6 | 1.2 | 0.1 | 1.4 | 0.8 | 5.7 | 38 | 1.2 | 3.3 | 34.8 | 14.3 | 77.8 | 0.46 | 140.9 | 37.0 |
M. Coleman II
|
- | 5 | 13.0 | 2.2 | 2.0 | 1.8 | 1.0 | 0.0 | 0.4 | 0.4 | 6.2 | -61 | -4.7 | -11.4 | 0.0 | 0.0 | 0 | -0.25 | 275.0 | 0.0 |
V. Iwuakor
|
- | 16 | 13.2 | 2.1 | 2.2 | 0.2 | 0.6 | 0.5 | 0.5 | 0.1 | 5.0 | - | - | - | 50.0 | 0 | 0 | 0.18 | 850.0 | 50.0 |
J. Arroyo
|
F | 2 | 12.5 | 1.5 | 4.0 | 0.0 | 0.5 | 1.0 | 0.0 | 0.0 | 7.0 | -25 | -2.3 | -11.6 | 0 | 0 | 0 | -0.22 | 0 | 0 |
J. Allen-Tovar
|
F | 2 | 7.5 | 1.0 | 3.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 4.5 | 31 | 1.0 | 1.7 | 0 | 0 | 0 | 0.69 | 0 | 0 |
R. Corner
|
C | 2 | 4.5 | 1.0 | 2.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 4.5 | 3 | 0.4 | 3.0 | 0 | 0 | 0 | 0.09 | 0 | 0 |
K. Dinwiddie Jr.
|
- | 2 | 11.5 | 0.5 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 2.5 | 0.5 | -48 | -1.5 | -2.6 | 0.0 | 0.0 | 50.0 | 1.09 | 8.5 | 0.0 |
D. Tillis
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Francis
|
G | 1 | 4.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 31 | 2.6 | 12.0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
H. Dhaliwal
|
C | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Hurlburt
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Ty. Broughton
|
- | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Tr. Broughton
|
- | 1 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
R. Brown
|
F | 15 | 4.3 | 0.0 | 0.5 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.5 | 105 | 3.8 | 10.8 | 0 | 0 | 0 | 1.04 | 0 | 0 |
K. Brown
|
G | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -44 | -4.0 | -18.7 | 0 | 0 | 0 | 0.99 | 0 | 0 |
C. Burist
|
- | 3 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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