Siena Saints
2026 Team Stats (29 games)
65.6
PPG
65.8
Opp
-0.2
Margin
37.9%
FG%
25.6%
3P%
73.7%
FT%
40.9
RPG
13.4
APG
18.6
TO
88.2
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1000 (#187) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.1 (#285) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.446 (#360) | AdjO 64.3 | AdjD 66.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.497 (#294) | 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 → | 0.482 (#291) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 935 (#277) | RD 148 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. Schiro
|
G | 23 | 31.1 | 17.2 | 4.7 | 3.5 | 1.9 | 0.3 | 2.9 | 12.6 | 12.1 | 91 | 4.3 | 4.8 | 44.8 | 30.4 | 80.0 | 2.22 | 56.7 | 49.7 |
N. Melious
|
G | 29 | 31.1 | 10.4 | 4.3 | 2.1 | 1.1 | 0.1 | 2.1 | 10.1 | 5.9 | 48 | 2.3 | 2.6 | 36.0 | 30.0 | 88.6 | -0.98 | 48.7 | 45.2 |
G. Wedemeyer
|
G | 19 | 29.1 | 9.1 | 3.8 | 2.2 | 1.1 | 0.2 | 2.9 | 7.9 | 5.4 | 13 | 0.9 | 1.0 | 35.1 | 28.1 | 80.0 | -1.97 | 48.5 | 41.1 |
K. Tucker
|
G | 27 | 21.5 | 8.2 | 8.4 | 1.4 | 1.3 | 1.4 | 1.8 | 7.6 | 11.3 | - | - | - | 44.6 | 20.0 | 71.7 | - | 48.6 | 44.9 |
C. Hadley
|
G | 29 | 22.1 | 7.2 | 4.9 | 1.2 | 0.8 | 0.4 | 2.2 | 7.1 | 5.2 | 59 | 2.8 | 5.0 | 39.0 | 15.2 | 77.2 | 1.0 | 45.4 | 40.2 |
V. Fontenelle-Posson
|
G | 21 | 17.7 | 6.1 | 3.4 | 1.3 | 0.9 | 0.0 | 2.0 | 6.2 | 3.5 | -9 | -0.6 | -1.3 | 29.8 | 18.3 | 81.2 | -0.6 | 42.1 | 34.0 |
A. Yergey
|
G | 26 | 20.8 | 4.9 | 1.6 | 1.2 | 0.8 | 0.1 | 2.0 | 5.7 | 1.1 | 12 | 0.7 | 1.6 | 36.1 | 19.6 | 84.6 | -0.55 | 41.9 | 39.8 |
J. Turner
|
G | 26 | 12.6 | 4.3 | 1.5 | 0.7 | 0.8 | 0.0 | 1.2 | 4.8 | 1.3 | -49 | -2.5 | -6.4 | 29.6 | 22.8 | 63.6 | -3.13 | 40.5 | 36.8 |
Z. Price
|
G | 7 | 12.6 | 4.1 | 2.6 | 0.4 | 0.4 | 0.6 | 1.6 | 4.9 | 1.7 | -32 | -4.6 | -12.7 | 38.2 | 50.0 | 50.0 | -3.37 | 40.5 | 39.7 |
G. Freeman
|
G | 25 | 18.5 | 2.6 | 3.3 | 1.0 | 0.5 | 0.4 | 1.2 | 3.0 | 3.6 | 6 | 0.3 | 0.5 | 30.3 | 23.1 | 41.5 | -0.38 | 35.1 | 32.2 |
O. Watkins
|
G | 27 | 9.9 | 2.1 | 1.7 | 0.6 | 0.4 | 0.1 | 0.8 | 1.6 | 2.4 | -7 | -0.4 | -1.6 | 45.5 | 0.0 | 69.2 | 0.95 | 52.3 | 45.5 |
A. Gates
|
G | 16 | 7.4 | 1.7 | 1.1 | 0.6 | 0.1 | 0.0 | 0.7 | 1.9 | 0.9 | -2 | -0.3 | -2.9 | 38.7 | 0.0 | 27.3 | -0.72 | 37.7 | 38.7 |
D. Pierce
|
G | 25 | 8.1 | 1.6 | 1.2 | 0.1 | 0.1 | 0.2 | 0.7 | 1.8 | 0.8 | -21 | -1.3 | -2.4 | 34.1 | 33.3 | 62.5 | 0.11 | 43.1 | 40.9 |
A. Rosenfeld
|
G | 14 | 4.1 | 0.7 | 1.1 | 0.1 | 0.3 | 0.0 | 0.4 | 0.6 | 1.4 | -7 | -0.8 | -5.3 | 62.5 | 0 | 0 | -1.78 | 62.5 | 62.5 |
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