Pittsburgh
2026 Team Stats (32 games)
70.4
PPG
71.6
Opp
-1.2
Margin
43.9%
FG%
33.1%
3P%
66.7%
FT%
34.8
RPG
13.2
APG
11.3
TO
76.8
Pace
75.0
AdjO
67.2
AdjD
#90
Rank
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 → | 1030 (#155) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1009 (#170) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 977 (#557) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.5 (#89) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.0 (#94) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.448 (#211) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.367 (#207) | NetEff -4.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.761 (#89) | AdjNet +10.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.767 (#89) | AdjNet +10.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.669 (#90) | AdjO 75.0 | AdjD 67.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.539 (#194) | AdjO 70.1 | AdjD 68.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.825 (#100) | 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 → | 0.777 (#114) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1087 (#149) | RD 135 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Corhen
|
F | 32 | 33.7 | 13.8 | 6.8 | 1.8 | 1.0 | 0.5 | 2.2 | 9.9 | 11.9 | 49 | 1.8 | 2.9 | 53.8 | 38.9 | 69.6 | 0.98 | 59.4 | 56.0 |
B. Dunning Jr.
|
- | 32 | 31.5 | 12.5 | 5.8 | 0.8 | 0.7 | 0.8 | 1.0 | 9.9 | 9.8 | 129 | 6.1 | 9.5 | 46.4 | 34.1 | 71.4 | 0.39 | 57.6 | 55.4 |
B. Cummings
|
G | 18 | 25.9 | 11.3 | 1.5 | 1.9 | 0.8 | 0.1 | 1.2 | 9.4 | 4.9 | 0 | 0.0 | 0.0 | 40.2 | 29.8 | 67.7 | 0.22 | 51.7 | 47.6 |
Roman Siulepa
|
- | 32 | 27.2 | 10.2 | 5.6 | 1.0 | 1.0 | 0.6 | 1.0 | 8.2 | 9.2 | 52 | 2.4 | 4.1 | 46.6 | 30.2 | 50.0 | 0.67 | 52.8 | 52.1 |
N. Indrusaitis
|
G | 32 | 23.8 | 9.2 | 3.1 | 1.7 | 0.9 | 0.1 | 1.2 | 8.0 | 5.8 | 9 | 0.4 | 0.8 | 40.5 | 38.3 | 63.5 | 0.08 | 52.7 | 51.0 |
D. Minor
|
G | 32 | 32.1 | 8.6 | 3.8 | 3.5 | 1.3 | 0.3 | 1.5 | 7.3 | 8.7 | 66 | 3.0 | 4.3 | 36.9 | 31.6 | 87.5 | 1.07 | 53.4 | 48.5 |
Omari Witherspoon
|
- | 32 | 27.7 | 7.6 | 3.0 | 2.5 | 0.8 | 0.6 | 2.4 | 7.4 | 4.8 | -1 | -0.0 | -0.1 | 37.8 | 28.6 | 64.5 | -0.01 | 46.0 | 42.9 |
P. Amadou Kante
|
F | 8 | 14.2 | 2.8 | 5.4 | 0.9 | 0.2 | 0.1 | 0.4 | 2.5 | 6.5 | 9 | 1.1 | 3.5 | 45.0 | 0.0 | 44.4 | 0.05 | 45.9 | 45.0 |
Macari Moore
|
- | 22 | 6.0 | 1.4 | 0.9 | 0.8 | 0.5 | 0.0 | 0.6 | 1.1 | 1.8 | 16 | 1.1 | 9.3 | 40.0 | 75.0 | 87.5 | 0.19 | 52.6 | 46.0 |
Kieran Mullen
|
- | 19 | 5.6 | 0.8 | 1.2 | 0.1 | 0.1 | 0.1 | 0.3 | 0.6 | 1.2 | -29 | -2.2 | -15.6 | 41.7 | 0.0 | 100.0 | -0.49 | 52.8 | 41.7 |
D. Jackson
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Benjamin Mayhew
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 0 | 0.0 | 0.0 | - | - | - | -0.0 | - | - |
Jajuan Nelson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 55 | 2.1 | 4.6 | - | - | - | 0.15 | - | - |
A. Ndiaye
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Henry Lau
|
F | 1 | 0.0 | 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