Loyola Marymount Lions
2024 Team Stats (2 games)
47.5
PPG
71.5
Opp
-24.0
Margin
33.6%
FG%
13.6%
3P%
47.4%
FT%
29.5
RPG
11.0
APG
12.5
TO
76.2
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 → | 1082 (#127) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1106 (#141) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.0 (#147) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.693 (#123) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.344 (#64) | AdjNet -5.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.329 (#64) | AdjNet -6.2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-01-18 | vs | Gonzaga Bulldogs | L | 48 - 72 |
| 2024-02-10 | @ | Gonzaga Bulldogs | L | 47 - 71 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Inoussa
|
G | 2 | 25.0 | 9.5 | 2.0 | 1.0 | 1.0 | 0.0 | 0.5 | 8.0 | 5.0 | -10 | -1.4 | -1.5 | 50.0 | 37.5 | 0.0 | -0.06 | 56.3 | 59.4 |
A. Oliver
|
F | 2 | 24.5 | 7.0 | 3.0 | 0.5 | 0.5 | 0.5 | 0.0 | 5.0 | 6.5 | -36 | -5.1 | -6.5 | 60.0 | 0 | 40.0 | -0.35 | 57.4 | 60.0 |
C. Ezeja
|
F | 1 | 14.0 | 7.0 | 3.0 | 0.0 | 1.0 | 0.0 | 4.0 | 3.0 | 4.0 | -30 | -6.0 | -16.8 | 100.0 | 0 | 100.0 | -0.38 | 101.7 | 100.0 |
M. Hernandez
|
F | 2 | 12.5 | 6.0 | 2.5 | 0.0 | 0.0 | 0.5 | 1.5 | 5.5 | 2.0 | 40 | 5.0 | 17.7 | 54.5 | 0 | 0.0 | 0.67 | 52.4 | 54.5 |
A. Mark
|
F | 2 | 25.5 | 5.5 | 7.0 | 2.5 | 1.0 | 1.0 | 1.0 | 9.0 | 7.0 | -7 | -1.0 | -1.1 | 27.8 | 0.0 | 25.0 | 0.4 | 27.8 | 27.8 |
N. Anderson
|
G | 2 | 21.5 | 5.5 | 2.0 | 1.0 | 0.5 | 0.5 | 1.0 | 5.0 | 3.5 | - | - | - | 40.0 | 20.0 | 100.0 | - | 50.6 | 45.0 |
D. Hamilton
|
G | 2 | 22.5 | 5.0 | 2.5 | 0.5 | 1.0 | 0.0 | 1.5 | 9.5 | -2.0 | -41 | -5.9 | -14.4 | 21.1 | 12.5 | 50.0 | -0.34 | 25.2 | 23.7 |
S. Gandy
|
G | 2 | 30.5 | 3.5 | 3.5 | 4.5 | 0.5 | 0.0 | 3.0 | 10.0 | -1.0 | -20 | -2.9 | -3.0 | 15.0 | 9.1 | 0 | -0.02 | 17.5 | 17.5 |
E. Wedin
|
G | 1 | 9.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -29 | -4.1 | -21.3 | 100.0 | 0 | 0 | -0.56 | 100.0 | 100.0 |
N. Yancy
|
G | 2 | 8.0 | 1.0 | 0.5 | 0.5 | 0.5 | 0.0 | 0.0 | 1.0 | 1.5 | -29 | -4.1 | -10.7 | 0.0 | 0.0 | 100.0 | -0.24 | 34.7 | 0.0 |
D. Dunn
|
G | 1 | 22.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -4.0 | -3 | -0.4 | -1.9 | 0.0 | 0.0 | 0 | 0.15 | 0.0 | 0.0 |
A. Toone
|
F | 1 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A. Sitterud
|
G | 2 | 5.5 | 0.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.0 | 2.5 | -1.0 | 11 | 1.8 | 8.0 | 0.0 | 0.0 | 0 | 0.24 | 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