Memphis
2023 Team Stats (13 games)
83.7
PPG
72.2
Opp
+6.8
Margin
49.4%
FG%
37.7%
3P%
74.5%
FT%
35.6
RPG
16.0
APG
14.2
TO
85.0
Pace
Model Outputs
2022-2023
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 → | 1343 (#49) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1428 (#26) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.4 (#46) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.733 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.709 (#57) | NetEff +8.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.749 (#26) | AdjNet +9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.754 (#26) | AdjNet +9.7 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Davis
|
- | 25 | 35.4 | 22.7 | 3.8 | 4.8 | 1.8 | 0.2 | 3.0 | 15.0 | 15.3 | 53 | 4.8 | 10.4 | 43.1 | 36.5 | 84.4 | 1.3 | 62.3 | 49.2 |
DeAndre Williams
|
- | 26 | 31.5 | 18.0 | 8.5 | 3.0 | 1.3 | 0.9 | 2.3 | 12.2 | 17.3 | 18 | 1.6 | 2.7 | 51.1 | 40.0 | 75.7 | 0.69 | 64.6 | 54.6 |
K. Kennedy
|
- | 18 | 23.9 | 9.4 | 2.6 | 0.8 | 1.2 | 0.1 | 1.1 | 6.4 | 6.6 | 30 | 3.0 | 3.3 | 47.4 | 43.3 | 62.5 | 1.11 | 67.2 | 58.6 |
E. McCadden
|
- | 26 | 26.5 | 8.2 | 4.2 | 1.6 | 0.5 | 0.3 | 1.5 | 5.4 | 7.8 | - | - | - | 54.3 | 25.0 | 66.7 | - | 62.2 | 56.4 |
A. Lomax
|
- | 16 | 26.9 | 5.9 | 2.7 | 2.9 | 2.1 | 0.0 | 1.4 | 3.9 | 8.3 | - | - | - | 41.9 | 37.5 | 60.0 | - | 70.8 | 46.8 |
M. Dandridge
|
- | 14 | 14.1 | 5.6 | 3.3 | 0.3 | 0.6 | 0.9 | 1.1 | 2.8 | 6.6 | - | - | - | 59.0 | 0.0 | 76.9 | - | 77.3 | 59.0 |
J. Hardaway
|
- | 22 | 16.3 | 5.0 | 1.0 | 0.5 | 0.5 | 0.1 | 0.6 | 3.4 | 3.1 | - | - | - | 46.7 | 31.6 | 89.5 | - | 65.4 | 54.7 |
C. Lawson
|
- | 25 | 19.2 | 4.8 | 4.6 | 0.7 | 0.6 | 0.6 | 0.9 | 2.8 | 7.6 | - | - | - | 52.2 | 63.6 | 69.7 | - | 71.2 | 57.2 |
J. Lawson
|
- | 22 | 15.7 | 3.2 | 1.3 | 1.3 | 0.4 | 0.2 | 0.7 | 2.3 | 3.4 | -2 | -0.1 | -0.2 | 46.0 | 31.0 | 66.7 | 0.68 | 65.8 | 55.0 |
K. Akobundu-Ehiogu
|
- | 21 | 10.6 | 2.4 | 1.7 | 0.1 | 0.0 | 1.4 | 0.6 | 1.0 | 4.0 | - | - | - | 72.7 | 0 | 68.8 | - | 86.1 | 72.7 |
Ian Granja
|
- | 4 | 1.5 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 0.2 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
J. Camden
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 73 | 6.1 | 6.7 | - | - | - | 1.73 | - | - |
S. Onu
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | -0.12 | - | - |
C. Glennon
|
- | 1 | 2.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 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