Loyola Marymount
2024 Team Stats (31 games)
72.4
PPG
71.4
Opp
+1.0
Margin
44.8%
FG%
36.8%
3P%
73.0%
FT%
34.9
RPG
11.9
APG
10.7
TO
75.9
Pace
Model Outputs
2023-2024
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 → | 981 (#322) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1104 (#208) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.2 (#146) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.214 (#104) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.485 (#183) | NetEff -0.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.152 (#100) | AdjNet -15.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.150 (#100) | AdjNet -15.0 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Harris
|
- | 24 | 28.4 | 14.3 | 3.2 | 1.0 | 0.5 | 0.1 | 1.9 | 10.9 | 6.3 | -28 | -3.1 | -12.9 | 42.9 | 44.8 | 78.3 | -0.24 | 58.9 | 55.4 |
A. Merkviladze
|
- | 30 | 30.9 | 12.1 | 7.2 | 1.5 | 0.6 | 0.3 | 1.4 | 10.0 | 10.3 | 0 | 0.0 | 0.0 | 41.0 | 35.2 | 74.4 | -0.14 | 53.6 | 49.5 |
J. Hill
|
- | 23 | 29.2 | 11.2 | 1.9 | 4.2 | 0.5 | 0.1 | 1.9 | 10.2 | 5.9 | 5 | 0.8 | 1.0 | 41.0 | 36.3 | 78.4 | -0.04 | 51.5 | 48.9 |
J. Wright
|
- | 29 | 26.4 | 11.1 | 3.4 | 1.9 | 0.5 | 0.1 | 1.3 | 8.7 | 7.0 | -3 | -1.0 | -14.3 | 49.0 | 30.8 | 81.1 | 0.12 | 56.8 | 52.2 |
W. Johnston
|
- | 31 | 28.9 | 11.1 | 2.5 | 2.7 | 0.6 | 0.0 | 1.4 | 9.5 | 6.0 | 22 | 3.7 | 4.3 | 40.1 | 37.8 | 81.5 | 0.21 | 54.3 | 51.2 |
K. Leaupepe
|
- | 21 | 28.4 | 9.9 | 5.2 | 1.2 | 0.6 | 0.1 | 1.3 | 8.2 | 7.5 | - | - | - | 42.4 | 31.1 | 76.5 | - | 53.5 | 49.1 |
L. Thiemann
|
- | 31 | 21.3 | 6.7 | 4.3 | 0.4 | 0.3 | 0.6 | 0.8 | 3.9 | 7.6 | -10 | -1.7 | -3.3 | 59.8 | 0 | 67.0 | -0.2 | 64.0 | 59.8 |
M. Graham
|
- | 31 | 13.7 | 3.0 | 4.4 | 0.1 | 0.1 | 0.8 | 0.6 | 2.2 | 5.6 | 10 | 1.0 | 3.3 | 63.2 | 0 | 53.8 | 0.01 | 63.1 | 63.2 |
L. Lewis
|
- | 24 | 11.1 | 2.0 | 1.4 | 0.5 | 0.3 | 0.1 | 0.6 | 1.8 | 1.9 | 4 | 0.8 | 18.7 | 43.2 | 12.5 | 41.7 | 0.11 | 44.9 | 44.3 |
R. Issanza
|
- | 10 | 10.6 | 1.7 | 3.9 | 0.1 | 0.0 | 1.0 | 0.7 | 1.2 | 4.8 | - | - | - | 58.3 | 0 | 50.0 | - | 58.1 | 58.3 |
A. McBride
|
- | 18 | 9.1 | 1.7 | 1.9 | 0.6 | 0.3 | 0.2 | 0.2 | 1.4 | 3.3 | 26 | 1.4 | 17.5 | 52.0 | 28.6 | 42.9 | -0.04 | 55.2 | 56.0 |
N. Taitz
|
G | 5 | 2.8 | 1.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.0 | 1.2 | 0.2 | - | - | - | 33.3 | 33.3 | 0 | - | 41.7 | 41.7 |
J. Nobles
|
SG | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Stephens
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
K. Carney
|
- | 8 | 2.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.1 | 0.2 | -0.2 | -1 | -0.2 | -4.0 | 0.0 | 0.0 | 0 | -0.06 | 0.0 | 0.0 |
G. Tupy
|
- | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1 | 0.2 | 11.1 | 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