Memphis
2026 Team Stats (31 games)
75.1
PPG
76.9
Opp
-1.8
Margin
43.5%
FG%
31.9%
3P%
72.0%
FT%
36.6
RPG
13.3
APG
13.7
TO
84.3
Pace
Model Outputs
2025-2026
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 → | 941 (#224) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 909 (#246) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 931 (#623) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.8 (#132) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.7 (#172) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.416 (#226) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.067 (#324) | NetEff -25.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.630 (#126) | AdjNet +4.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.633 (#126) | AdjNet +4.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.572 (#127) | AdjO 75.0 | AdjD 71.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.492 (#274) | AdjO 75.8 | AdjD 76.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.743 (#183) | 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 → | 0.690 (#200) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1018 (#221) | RD 133 | GP 31 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. McDaniel
|
- | 31 | 34.3 | 14.0 | 3.7 | 4.5 | 2.0 | 0.1 | 2.5 | 12.7 | 9.1 | -36 | -1.6 | -2.1 | 41.5 | 32.6 | 84.5 | 0.14 | 51.0 | 47.5 |
S. Parker
|
G | 30 | 19.3 | 11.4 | 3.7 | 1.1 | 0.7 | 0.3 | 0.9 | 9.8 | 6.5 | 51 | 2.5 | 5.8 | 41.6 | 33.3 | 80.0 | 0.86 | 51.6 | 46.2 |
C. Givens III
|
- | 25 | 25.6 | 9.4 | 2.1 | 2.3 | 0.8 | 0.2 | 1.6 | 7.5 | 5.8 | 142 | 6.2 | 12.0 | 43.1 | 36.5 | 66.1 | 1.06 | 55.2 | 52.4 |
J. Thedford
|
G | 27 | 20.4 | 8.4 | 5.0 | 0.7 | 1.1 | 0.3 | 0.9 | 5.8 | 8.7 | 61 | 3.6 | 8.5 | 49.0 | 34.1 | 68.2 | 1.13 | 58.4 | 53.8 |
A. Bradshaw
|
- | 28 | 18.6 | 8.3 | 4.1 | 0.6 | 0.5 | 0.6 | 1.5 | 5.6 | 7.0 | 55 | 2.4 | 6.2 | 53.2 | 34.6 | 77.3 | 1.06 | 61.6 | 56.1 |
Z. Davis
|
G | 28 | 20.6 | 6.6 | 3.9 | 1.1 | 1.0 | 0.4 | 1.8 | 6.0 | 5.2 | -24 | -1.1 | -2.4 | 40.8 | 27.5 | 74.4 | 0.04 | 50.0 | 46.4 |
Q. Berry
|
G | 29 | 17.9 | 6.2 | 2.5 | 1.2 | 1.0 | 0.3 | 1.0 | 5.2 | 5.1 | -19 | -0.9 | -2.2 | 40.1 | 30.9 | 69.4 | -0.39 | 52.1 | 48.4 |
H. Abdul-Hakim
|
G | 13 | 22.4 | 6.2 | 4.1 | 1.8 | 1.2 | 0.5 | 2.2 | 5.8 | 5.8 | - | - | - | 40.0 | 15.8 | 60.7 | - | 45.8 | 42.0 |
A. Hardaway
|
F | 24 | 19.8 | 5.5 | 2.5 | 1.5 | 0.8 | 0.7 | 1.2 | 5.1 | 4.8 | -68 | -3.2 | -9.1 | 39.3 | 35.4 | 73.7 | -0.53 | 51.0 | 48.8 |
T. Sylla
|
- | 22 | 14.5 | 4.0 | 2.6 | 0.3 | 0.2 | 0.9 | 0.7 | 2.9 | 4.4 | 16 | 1.2 | 5.1 | 50.8 | 0.0 | 60.0 | 0.07 | 54.6 | 50.8 |
T. Ingraham
|
- | 24 | 9.2 | 3.2 | 1.8 | 0.2 | 0.3 | 0.2 | 0.5 | 2.1 | 3.0 | 9 | 0.5 | 2.3 | 48.0 | 0.0 | 68.3 | 0.62 | 55.8 | 48.0 |
S. Majok
|
- | 24 | 12.0 | 2.8 | 2.3 | 0.2 | 0.5 | 0.5 | 0.7 | 1.6 | 3.9 | 23 | 1.2 | 3.9 | 48.7 | 33.3 | 71.8 | 0.46 | 60.5 | 51.3 |
W. Whorton
|
F | 18 | 9.0 | 1.9 | 1.6 | 0.2 | 0.2 | 0.7 | 0.5 | 1.4 | 2.6 | -3 | -0.2 | -1.3 | 46.2 | 0.0 | 55.6 | -0.09 | 50.1 | 46.2 |
A. Arop
|
- | 9 | 2.4 | 0.7 | 0.7 | 0.0 | 0.0 | 0.1 | 0.1 | 0.7 | 0.7 | -9 | -1.3 | -20.1 | 33.3 | 0.0 | 50.0 | -0.14 | 38.7 | 33.3 |
M. Matthews
|
- | 7 | 3.3 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 1.0 | -0.3 | 42 | 3.5 | 26.5 | 14.3 | 16.7 | 0 | 0.06 | 21.4 | 21.4 |
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