Arizona Wildcats
2026 Team Stats (27 games)
68.3
PPG
71.5
Opp
-3.2
Margin
43.6%
FG%
29.1%
3P%
76.0%
FT%
30.8
RPG
14.2
APG
16.7
TO
82.5
Pace
73.3
AdjO
66.9
AdjD
#101
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 → | 877 (#260) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1008 (#171) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 869 (#556) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.0 (#106) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.5 (#113) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.444 (#189) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.521 (#169) | NetEff +0.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.741 (#105) | AdjNet +9.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.744 (#105) | AdjNet +9.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.641 (#101) | AdjO 73.3 | AdjD 66.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.471 (#278) | AdjO 66.0 | AdjD 67.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.743 (#174) | 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 → | 0.686 (#190) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 929 (#289) | RD 160 | GP 27 |
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. Perdue
|
G | 12 | 34.4 | 17.8 | 2.2 | 0.8 | 0.5 | 0.1 | 1.6 | 13.4 | 6.3 | 55 | 4.2 | 4.5 | 41.6 | 33.7 | 80.6 | 1.23 | 56.8 | 50.9 |
N. Cornfield
|
G | 26 | 35.0 | 13.7 | 3.3 | 6.6 | 2.7 | 0.1 | 3.7 | 12.7 | 10.0 | -36 | -1.7 | -2.2 | 40.2 | 15.8 | 82.5 | -0.66 | 47.4 | 41.1 |
S. Sugapong
|
G | 26 | 29.2 | 11.8 | 3.7 | 2.1 | 2.1 | 0.0 | 2.5 | 10.1 | 7.1 | -56 | -2.8 | -4.7 | 38.2 | 35.5 | 86.1 | 0.29 | 51.7 | 45.6 |
T. Welch
|
G | 25 | 26.6 | 9.3 | 5.4 | 1.2 | 1.0 | 0.1 | 1.5 | 7.4 | 8.0 | -66 | -3.3 | -5.4 | 47.3 | 29.6 | 74.2 | -1.13 | 54.2 | 49.5 |
D. Trammell
|
F | 27 | 20.3 | 7.4 | 2.1 | 0.4 | 0.7 | 0.4 | 1.6 | 6.4 | 2.9 | 26 | 1.3 | 2.3 | 48.9 | 0.0 | 70.7 | 1.87 | 51.8 | 48.9 |
N. Francois
|
F | 26 | 22.8 | 5.9 | 4.7 | 1.7 | 1.6 | 0.6 | 2.1 | 4.8 | 7.5 | -65 | -3.2 | -6.2 | 49.2 | 0.0 | 65.3 | -0.71 | 52.9 | 49.2 |
K. Kitchen
|
G | 19 | 17.5 | 4.2 | 1.7 | 1.2 | 0.8 | 0.1 | 1.3 | 4.0 | 2.7 | -5 | -0.3 | -0.6 | 42.1 | 25.6 | 55.6 | 0.79 | 49.4 | 48.7 |
B. Adebanjo
|
F | 23 | 11.3 | 3.9 | 2.7 | 0.3 | 0.5 | 1.0 | 1.3 | 2.9 | 4.3 | 26 | 1.4 | 7.2 | 49.3 | 0 | 67.6 | 1.35 | 54.3 | 49.3 |
M. Ladwig
|
G | 24 | 14.4 | 3.8 | 1.5 | 0.7 | 0.4 | 0.0 | 0.5 | 3.3 | 2.7 | 1 | 0.1 | 0.2 | 41.8 | 28.6 | 69.6 | 0.07 | 51.6 | 48.1 |
A. Magot
|
C | 17 | 6.0 | 3.2 | 1.3 | 0.1 | 0.0 | 0.1 | 1.5 | 2.2 | 1.1 | -15 | -0.9 | -5.7 | 57.9 | 0 | 64.7 | -0.33 | 60.5 | 57.9 |
M. Jurado
|
G | 27 | 18.4 | 2.4 | 1.8 | 0.6 | 0.5 | 0.0 | 1.2 | 2.5 | 1.7 | 55 | 2.6 | 5.7 | 43.3 | 25.8 | 0.0 | 1.51 | 48.9 | 49.3 |
M. Dew
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Fredriecka Wallace
|
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