Arizona State
2026 Team Stats (31 games)
76.1
PPG
79.6
Opp
-3.5
Margin
44.5%
FG%
32.8%
3P%
75.9%
FT%
32.7
RPG
13.5
APG
12.0
TO
80.1
Pace
81.2
AdjO
71.6
AdjD
#72
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 → | 1033 (#153) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1170 (#62) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 968 (#572) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.8 (#68) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.3 (#81) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.426 (#222) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.119 (#303) | NetEff -18.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.822 (#68) | AdjNet +13.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.825 (#68) | AdjNet +13.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.705 (#72) | AdjO 81.2 | AdjD 71.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.535 (#197) | AdjO 74.1 | AdjD 72.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.840 (#88) | 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 (#100) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1141 (#100) | RD 135 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Odum
|
- | 31 | 34.0 | 16.8 | 3.0 | 5.7 | 1.5 | 0.1 | 3.1 | 13.0 | 10.9 | -28 | -1.3 | -1.6 | 40.7 | 37.7 | 81.8 | 0.4 | 56.6 | 51.4 |
Massamba Diop
|
- | 31 | 30.1 | 13.6 | 5.9 | 1.0 | 0.6 | 2.1 | 1.8 | 9.1 | 12.4 | 11 | 0.5 | 0.8 | 56.6 | 30.8 | 71.3 | 0.57 | 62.1 | 58.0 |
Anthony Johnson
|
- | 31 | 25.2 | 13.3 | 3.3 | 1.7 | 1.4 | 0.4 | 2.1 | 9.2 | 8.6 | -37 | -1.7 | -3.1 | 45.3 | 31.5 | 76.2 | 0.08 | 57.1 | 49.3 |
S. Trouet
|
- | 29 | 26.0 | 8.1 | 6.0 | 0.9 | 0.7 | 0.8 | 1.0 | 6.6 | 8.8 | -71 | -3.4 | -5.8 | 44.3 | 20.8 | 79.7 | -0.55 | 52.1 | 45.6 |
B. Ford
|
- | 25 | 22.6 | 7.2 | 1.7 | 0.8 | 0.3 | 0.0 | 0.5 | 6.2 | 3.2 | -13 | -0.7 | -1.2 | 38.5 | 32.3 | 84.8 | 0.2 | 52.5 | 48.4 |
A. Grbović
|
- | 31 | 20.2 | 6.8 | 2.8 | 0.3 | 0.5 | 0.2 | 0.6 | 5.8 | 4.2 | - | - | - | 40.0 | 33.6 | 80.0 | - | 54.0 | 50.8 |
Noah Meeusen
|
- | 28 | 27.4 | 5.9 | 3.1 | 2.5 | 1.4 | 0.2 | 1.3 | 4.9 | 7.0 | 8 | 0.4 | 0.7 | 38.0 | 30.4 | 82.9 | 0.7 | 53.5 | 48.2 |
A. Mukeba
|
- | 31 | 16.4 | 5.2 | 3.4 | 0.9 | 0.8 | 0.8 | 1.0 | 3.9 | 6.2 | 7 | 0.3 | 0.8 | 54.2 | 25.0 | 55.6 | 0.45 | 56.0 | 54.6 |
M. Adams Jr.
|
- | 12 | 10.2 | 2.6 | 2.2 | 0.2 | 0.2 | 0.2 | 0.5 | 2.6 | 2.2 | 312 | 14.2 | 27.4 | 29.0 | 15.0 | 71.4 | 2.37 | 41.7 | 33.9 |
T. Best
|
- | 19 | 4.7 | 1.1 | 0.5 | 0.1 | 0.1 | 0.0 | 0.3 | 1.0 | 0.5 | -7 | -0.5 | -4.3 | 36.8 | 18.2 | 71.4 | -0.11 | 47.6 | 42.1 |
A. Holiman
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Kash Polk
|
- | 5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -4 | -0.7 | -57.1 | 0 | 0 | 0 | -0.11 | 0 | 0 |
Q. McCoy
|
- | 2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -2 | -0.7 | -51.1 | 0 | 0 | 0 | -0.04 | 0 | 0 |
Vijay Wallace
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Dame Salane
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jovan Ićitović
|
F | 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