Troy
2026 Team Stats (32 games)
78.0
PPG
74.0
Opp
+4.0
Margin
44.0%
FG%
33.3%
3P%
73.7%
FT%
37.6
RPG
15.2
APG
12.1
TO
81.7
Pace
75.1
AdjO
75.2
AdjD
#165
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 → | 1083 (#116) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1116 (#85) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1090 (#59) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.2 (#167) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.4 (#174) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.604 (#111) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.703 (#110) | NetEff +7.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.476 (#173) | AdjNet -0.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.474 (#173) | AdjNet -0.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.497 (#165) | AdjO 75.1 | AdjD 75.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.563 (#164) | AdjO 70.6 | AdjD 67.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.782 (#152) | 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 → | 0.746 (#149) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1153 (#90) | RD 120 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V. Valdes
|
- | 32 | 29.1 | 14.7 | 3.9 | 4.2 | 1.3 | 0.3 | 3.3 | 10.8 | 10.4 | 86 | 3.9 | 6.3 | 40.1 | 24.8 | 76.0 | 0.16 | 53.6 | 44.5 |
T. Dowd
|
- | 32 | 36.6 | 14.3 | 10.2 | 2.1 | 1.3 | 1.3 | 1.5 | 11.2 | 16.5 | 133 | 5.8 | 8.1 | 43.2 | 32.8 | 79.1 | 0.42 | 56.1 | 51.5 |
T. Seng
|
- | 26 | 29.3 | 13.0 | 5.8 | 1.1 | 0.5 | 0.3 | 1.0 | 8.9 | 10.7 | 91 | 4.0 | 8.5 | 51.5 | 33.8 | 76.8 | -0.19 | 61.8 | 57.1 |
Coo. Campbell
|
- | 32 | 34.4 | 12.8 | 3.3 | 4.3 | 1.6 | 0.1 | 1.9 | 9.9 | 10.1 | 199 | 8.7 | 12.7 | 43.8 | 38.9 | 82.3 | 0.84 | 58.0 | 54.1 |
Cobi Campbell
|
- | 31 | 28.2 | 8.9 | 1.8 | 1.5 | 1.0 | 0.0 | 0.9 | 7.5 | 4.8 | 114 | 5.2 | 9.2 | 40.9 | 39.5 | 81.5 | -0.23 | 56.6 | 54.7 |
J. Bellamy
|
- | 32 | 16.4 | 7.4 | 3.2 | 0.5 | 0.5 | 0.9 | 1.1 | 4.9 | 6.6 | 78 | 3.4 | 13.7 | 62.8 | 31.6 | 59.0 | 0.24 | 65.1 | 64.7 |
K. Kiel
|
- | 32 | 16.3 | 3.9 | 3.7 | 1.0 | 0.9 | 0.3 | 0.8 | 3.3 | 5.7 | 65 | 2.8 | 8.2 | 35.8 | 28.0 | 71.4 | 0.29 | 49.0 | 42.5 |
A. Cross
|
- | 32 | 16.1 | 3.5 | 1.5 | 0.3 | 0.3 | 0.0 | 0.4 | 3.6 | 1.8 | 45 | 2.0 | 6.4 | 34.2 | 30.1 | 50.0 | -0.38 | 45.9 | 45.2 |
Javen Colbert
|
- | 17 | 4.7 | 1.5 | 0.5 | 0.4 | 0.5 | 0.0 | 0.6 | 1.1 | 1.2 | -3 | -0.2 | -2.1 | 38.9 | 33.3 | 69.2 | -0.46 | 52.7 | 44.4 |
C. Green
|
- | 14 | 4.1 | 1.4 | 1.2 | 0.3 | 0.1 | 0.1 | 0.4 | 1.0 | 1.8 | 0 | 0.0 | 0.0 | 50.0 | 25.0 | 44.4 | -0.37 | 52.9 | 53.6 |
E. Griffin
|
- | 11 | 5.2 | 1.4 | 1.4 | 0.2 | 0.2 | 0.0 | 0.1 | 1.4 | 1.6 | 32 | 4.6 | 112.9 | 40.0 | 0 | 37.5 | -0.14 | 40.5 | 40.0 |
Emmanuel Clarton
|
- | 12 | 2.7 | 0.8 | 0.8 | 0.2 | 0.2 | 0.0 | 0.5 | 0.7 | 0.8 | -11 | -1.0 | -29.5 | 62.5 | 0.0 | 0.0 | -0.5 | 56.3 | 62.5 |
K. Mitchell
|
- | 7 | 2.3 | 0.3 | 0.4 | 0.1 | 0.0 | 0.0 | 0.0 | 0.7 | 0.1 | 15 | 3.0 | 153.8 | 20.0 | 0.0 | 0 | 0.05 | 20.0 | 20.0 |
H. Awata
|
G | 4 | 1.5 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.8 | 1.0 | -1.2 | - | - | - | 0.0 | 0.0 | 33.3 | -0.05 | 9.4 | 0.0 |
Javier Gilgeous-Glasgow
|
G | 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