Siena Saints
2025 Team Stats (2 games)
64.0
PPG
72.5
Opp
-8.5
Margin
42.1%
FG%
23.1%
3P%
66.7%
FT%
29.0
RPG
10.5
APG
15.5
TO
79.6
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-06 | vs | Army Black Knights | L | 56 - 66 |
| 2025-03-13 | vs | Merrimack Warriors | L | 72 - 79 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Seppala
|
G | 1 | 40.0 | 22.0 | 5.0 | 2.0 | 2.0 | 0.0 | 3.0 | 15.0 | 13.0 | 71 | 2.5 | 2.5 | 40.0 | 0.0 | 71.4 | 0.94 | 52.0 | 40.0 |
A. Jackson
|
G | 2 | 34.5 | 20.0 | 1.0 | 3.0 | 1.5 | 0.5 | 1.5 | 16.0 | 8.5 | 68 | 1.7 | 2.2 | 37.5 | 33.3 | 73.3 | 1.1 | 51.8 | 45.3 |
A. Brown
|
G | 2 | 29.5 | 10.5 | 6.0 | 0.5 | 1.0 | 0.5 | 3.0 | 7.5 | 8.0 | 64 | 1.8 | 2.0 | 46.7 | 0 | 58.3 | 1.44 | 51.8 | 46.7 |
K. Hadley
|
G | 2 | 17.5 | 9.0 | 3.0 | 2.0 | 1.5 | 0.0 | 0.0 | 7.5 | 8.0 | 19 | 0.6 | 1.0 | 53.3 | 25.0 | 33.3 | 0.65 | 55.1 | 56.7 |
A. Hooker
|
G | 2 | 25.5 | 5.0 | 1.5 | 0.5 | 1.0 | 1.0 | 3.0 | 4.0 | 2.0 | 70 | 2.8 | 3.2 | 62.5 | 0 | 0 | 1.06 | 62.5 | 62.5 |
M. Traore
|
G | 2 | 21.5 | 4.0 | 3.5 | 0.5 | 0.5 | 1.5 | 1.0 | 2.5 | 6.5 | 13 | 0.5 | 0.9 | 80.0 | 0.0 | 0 | -0.32 | 80.0 | 80.0 |
A. Conde
|
C | 2 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | 0.5 | 96 | 2.9 | 7.0 | 66.7 | 0 | 0 | 1.15 | 66.7 | 66.7 |
Z. Price
|
G | 1 | 18.0 | 2.0 | 5.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 4.0 | 10 | 0.4 | 0.7 | 0.0 | 0.0 | 100.0 | 0.06 | 25.8 | 0.0 |
E. Turi
|
G | 2 | 19.0 | 1.5 | 3.0 | 2.0 | 1.5 | 0.0 | 2.0 | 4.5 | 1.5 | -8 | -0.4 | -0.9 | 11.1 | 0.0 | 50.0 | -0.09 | 15.2 | 11.1 |
Z. Richardson
|
F | 1 | 16.0 | 0.0 | 3.0 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 3.0 | 41 | 2.6 | 24.2 | 0.0 | 0.0 | 0 | -0.78 | 0.0 | 0.0 |
P. Lohko
|
G | 1 | 19.0 | 0.0 | 2.0 | 0.0 | 1.0 | 1.0 | 2.0 | 1.0 | 1.0 | 3 | 0.2 | 0.4 | 0.0 | 0.0 | 0 | -0.11 | 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