Pacific Lutheran Lutes
2022 Team Stats (1 games)
40.0
PPG
89.0
Opp
-49.0
Margin
25.8%
FG%
20.8%
3P%
50.0%
FT%
34.0
RPG
13.0
APG
16.0
TO
80.6
Pace
Model Outputs
2021-2022
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 → | 997 (#306) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -16.6 (#738) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -15.9 (#536) | HCA +2.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.459 (#436) | AdjO 67.7 | AdjD 69.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.195 (#545) | 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 → | 0.238 (#547) | 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 (#317) | RD 350 | GP 1 |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-23 | @ | Seattle U Redhawks | L | 40 - 89 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Williams
|
G | 1 | 30.0 | 11.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 6.0 | 5.0 | 345 | 9.3 | 14.2 | 66.7 | 33.3 | 100.0 | 2.22 | 79.9 | 75.0 |
T. Ashmore
|
F | 1 | 25.0 | 8.0 | 1.0 | 1.0 | 0.0 | 4.0 | 0.0 | 6.0 | 8.0 | - | - | - | 50.0 | 40.0 | 0 | - | 66.7 | 66.7 |
S. McCurdy
|
F | 1 | 21.0 | 5.0 | 10.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 | 7.0 | - | - | - | 33.3 | 25.0 | 0 | - | 41.7 | 41.7 |
S. Noland
|
- | 1 | 19.0 | 5.0 | 3.0 | 3.0 | 1.0 | 0.0 | 3.0 | 8.0 | 1.0 | - | - | - | 25.0 | 25.0 | 0 | - | 31.2 | 31.2 |
J. Thomas
|
G | 1 | 22.0 | 4.0 | 4.0 | 3.0 | 2.0 | 0.0 | 2.0 | 10.0 | 1.0 | -291 | -9.1 | -14.1 | 20.0 | 0 | 0.0 | 1.05 | 18.4 | 20.0 |
S. Hall
|
G | 1 | 24.0 | 4.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 13.0 | -5.0 | 72 | 2.2 | 4.4 | 15.4 | 0.0 | 0 | 0.67 | 15.4 | 15.4 |
B. Riedel
|
- | 1 | 18.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 | -2.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
S. McGaughey-Fick
|
- | 1 | 13.0 | 1.0 | 2.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 4.0 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
T. Garey
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Morasch
|
G | 1 | 6.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
P. Peterson
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
J. Reisner
|
F | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
L. Johnston
|
F | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
T. Thompson
|
F | 1 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -29 | -1.6 | -7.0 | 0.0 | 0 | 0 | 0.08 | 0.0 | 0.0 |
E. Palacio
|
F | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -1.0 | - | - | - | 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