Southern Utah Thunderbirds
2026 Team Stats (26 games)
69.3
PPG
68.7
Opp
+0.6
Margin
40.8%
FG%
31.3%
3P%
73.7%
FT%
41.3
RPG
14.6
APG
15.9
TO
83.9
Pace
67.5
AdjO
70.6
AdjD
#201
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 → | 1015 (#177) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 994 (#179) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 957 (#470) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.7 (#194) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.8 (#260) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.487 (#175) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.522 (#168) | NetEff +0.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.377 (#200) | AdjNet -4.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.371 (#199) | AdjNet -4.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.429 (#201) | AdjO 67.5 | AdjD 70.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.437 (#384) | AdjO 66.1 | AdjD 68.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.645 (#226) | 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 → | 0.599 (#228) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1044 (#179) | RD 113 | GP 26 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Uhrich
|
F | 26 | 32.1 | 14.8 | 10.0 | 2.5 | 1.0 | 0.3 | 2.3 | 12.2 | 14.2 | 18 | 0.8 | 1.1 | 46.4 | 28.2 | 75.0 | 0.09 | 53.7 | 49.5 |
S. Chambers
|
G | 26 | 36.5 | 14.7 | 2.0 | 3.8 | 0.6 | 0.1 | 3.2 | 12.7 | 5.3 | -9 | -0.4 | -0.5 | 34.4 | 25.6 | 81.9 | -1.43 | 48.2 | 39.3 |
B. Fely
|
F | 25 | 25.0 | 13.7 | 9.0 | 2.3 | 0.7 | 0.5 | 2.3 | 10.9 | 13.0 | 74 | 3.7 | 6.3 | 47.6 | 32.4 | 68.9 | 3.82 | 53.7 | 49.6 |
D. Kiernan
|
G | 26 | 27.0 | 7.2 | 1.9 | 1.1 | 0.5 | 0.5 | 1.5 | 6.5 | 3.3 | 13 | 0.6 | 1.0 | 39.3 | 37.0 | 59.3 | -2.12 | 52.3 | 51.2 |
K. Doman
|
G | 26 | 33.8 | 6.2 | 6.3 | 2.5 | 1.2 | 1.1 | 2.5 | 5.7 | 9.1 | 29 | 1.3 | 1.6 | 37.2 | 34.8 | 81.4 | 2.43 | 48.2 | 42.6 |
M. Trigueiro
|
G | 25 | 12.0 | 4.1 | 0.8 | 0.5 | 0.0 | 0.0 | 0.7 | 3.6 | 1.1 | -12 | -0.6 | -2.6 | 37.8 | 43.8 | 100.0 | -0.3 | 55.1 | 53.3 |
D. Anderson
|
F | 26 | 10.1 | 3.1 | 1.9 | 0.4 | 0.2 | 0.2 | 0.6 | 2.8 | 2.4 | -55 | -2.5 | -8.9 | 33.8 | 26.9 | 67.6 | -3.86 | 45.0 | 38.5 |
A. Banks
|
C | 26 | 11.8 | 3.0 | 3.3 | 0.6 | 0.1 | 0.7 | 1.1 | 2.0 | 4.7 | -17 | -0.7 | -3.0 | 52.9 | 0 | 61.0 | -0.34 | 57.2 | 52.9 |
O. Malafu
|
F | 16 | 5.9 | 1.8 | 1.6 | 0.4 | 0.1 | 0.1 | 0.3 | 1.7 | 1.9 | -31 | -1.6 | -10.6 | 44.4 | 0 | 50.0 | -1.23 | 45.9 | 44.4 |
B. Hasan
|
G | 26 | 7.8 | 1.5 | 0.9 | 0.7 | 0.3 | 0.1 | 0.9 | 1.2 | 1.4 | -65 | -3.0 | -14.2 | 32.3 | 0.0 | 76.9 | -2.57 | 47.1 | 32.3 |
E. Scholtes
|
F | 6 | 3.0 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6 | 0.9 | 26.9 | 16.7 | 0.0 | 100.0 | -0.22 | 29.1 | 16.7 |
V. Kuelker
|
G | 6 | 3.2 | 0.7 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 1.3 | -0.3 | 5 | 0.6 | 40.5 | 12.5 | 0.0 | 50.0 | -1.25 | 20.5 | 12.5 |
C. Kay
|
G | 16 | 3.6 | 0.4 | 0.2 | 0.0 | 0.1 | 0.0 | 0.2 | 0.4 | 0.1 | 99 | 4.3 | 10.7 | 42.9 | 20.0 | 0.0 | 0.5 | 47.0 | 50.0 |
Joss Baker
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Nike Borg
|
C | 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