Our Lady of the Lake Saints
2023 Team Stats (1 games)
76.0
PPG
85.0
Opp
-9.0
Margin
43.3%
FG%
31.0%
3P%
75.0%
FT%
34.0
RPG
19.0
APG
19.0
TO
87.8
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2023 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 → | 996 (#390) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -17.4 (#576) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.453 (#484) | AdjO 71.9 | AdjD 73.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.197 (#577) | 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 → | 0.239 (#576) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 925 (#394) | RD 350 | GP 1 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-22 | @ | Incarnate Word Cardinals | L | 76 - 85 |
2023 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. Law
|
SG | 1 | 27.0 | 15.0 | 3.0 | 3.0 | 1.0 | 0.0 | 1.0 | 10.0 | 11.0 | - | - | - | 60.0 | 60.0 | 0.0 | - | 71.8 | 75.0 |
D. Helterhoff
|
F | 1 | 22.0 | 11.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 11.0 | 22 | 2.8 | 10.5 | 100.0 | 0 | 71.4 | 0.63 | 90.5 | 100.0 |
S. Kasamba
|
G | 1 | 12.0 | 11.0 | 6.0 | 2.0 | 1.0 | 0.0 | 1.0 | 12.0 | 7.0 | - | - | - | 41.7 | 20.0 | 0 | - | 45.8 | 45.8 |
P. Minjoth
|
- | 1 | 18.0 | 9.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | 6.0 | 1.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
R. Monzon
|
F | 1 | 29.0 | 8.0 | 11.0 | 2.0 | 4.0 | 0.0 | 2.0 | 11.0 | 12.0 | - | - | - | 36.4 | 0.0 | 0 | - | 36.4 | 36.4 |
O. Maldonado
|
SG | 1 | 16.0 | 7.0 | 2.0 | 1.0 | 1.0 | 0.0 | 1.0 | 3.0 | 7.0 | - | - | - | 33.3 | 33.3 | 100.0 | - | 73.5 | 50.0 |
R. Gill
|
G | 1 | 18.0 | 6.0 | 3.0 | 4.0 | 2.0 | 0.0 | 0.0 | 5.0 | 10.0 | - | - | - | 40.0 | 50.0 | 50.0 | - | 51.0 | 50.0 |
A. Kankolongo
|
C | 1 | 6.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 75.0 | - | 85.2 | 0 |
E. Jones
|
G | 1 | 26.0 | 2.0 | 2.0 | 3.0 | 0.0 | 0.0 | 4.0 | 4.0 | -1.0 | -20 | -0.9 | -1.3 | 25.0 | 0.0 | 0 | 0.67 | 25.0 | 25.0 |
X. Purnell
|
- | 1 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 34.7 | 0.0 |
J. Sanchez
|
F | 1 | 9.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
G. Darwhiche
|
ATH | 1 | 13.0 | 0.0 | 1.0 | 1.0 | 1.0 | 0.0 | 3.0 | 3.0 | -3.0 | - | - | - | 0.0 | 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