Loyola Marymount
2019 Team Stats (4 games)
71.5
PPG
63.0
Opp
+8.5
Margin
45.3%
FG%
31.9%
3P%
70.7%
FT%
37.3
RPG
17.3
APG
13.8
TO
81.4
Pace
Model Outputs
2018-2019
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 → | 1104 (#236) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1263 (#138) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.1 (#145) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.060 (#99) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.425 (#71) | AdjNet -2.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.434 (#71) | AdjNet -2.3 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-18 | vs | Ohio Bobcats | W | 65 - 56 |
| 2018-11-29 | vs | Bethesda University Flames | W | 106 - 50 |
| 2019-01-17 | @ | Gonzaga Bulldogs | L | 55 - 73 |
| 2019-02-14 | vs | Gonzaga Bulldogs | L | 60 - 73 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Batemon
|
G | 4 | 30.2 | 12.5 | 2.8 | 3.2 | 1.2 | 0.0 | 2.8 | 12.2 | 4.8 | 37 | 3.7 | 11.8 | 40.8 | 23.8 | 71.4 | 0.55 | 48.0 | 45.9 |
M. Markusson
|
C | 4 | 20.5 | 9.5 | 5.8 | 1.2 | 0.8 | 0.8 | 1.2 | 7.0 | 9.8 | - | - | - | 53.6 | 0 | 100.0 | - | 60.3 | 53.6 |
E. Scott
|
G | 3 | 24.7 | 8.0 | 2.7 | 2.7 | 0.0 | 0.0 | 1.0 | 6.0 | 6.3 | - | - | - | 50.0 | 0 | 54.5 | - | 52.5 | 50.0 |
I. Alipiev
|
F | 2 | 18.0 | 7.5 | 5.0 | 1.5 | 0.0 | 0.0 | 0.0 | 7.5 | 6.5 | - | - | - | 40.0 | 42.9 | 0 | - | 50.0 | 50.0 |
D. Douglas
|
G | 4 | 21.5 | 7.2 | 6.0 | 1.8 | 0.5 | 0.2 | 1.2 | 5.5 | 9.0 | - | - | - | 50.0 | 0.0 | 53.8 | - | 52.3 | 50.0 |
J. McClendon
|
G | 4 | 23.0 | 6.5 | 1.5 | 1.8 | 1.0 | 0.2 | 1.8 | 2.8 | 6.5 | - | - | - | 63.6 | 83.3 | 87.5 | - | 89.5 | 86.4 |
C. Allen
|
G | 2 | 10.5 | 6.5 | 0.0 | 0.5 | 0.5 | 0.0 | 2.0 | 5.0 | 0.5 | - | - | - | 40.0 | 28.6 | 100.0 | 0.55 | 57.4 | 50.0 |
Z. Williams
|
F | 4 | 16.0 | 6.0 | 3.8 | 0.8 | 1.2 | 0.2 | 2.0 | 5.8 | 4.2 | -87 | -5.1 | -7.0 | 43.5 | 14.3 | 75.0 | 0.13 | 48.5 | 45.7 |
J. Bell
|
F | 4 | 13.0 | 5.2 | 1.5 | 0.5 | 0.8 | 0.2 | 0.8 | 5.2 | 2.2 | -13 | -1.4 | -2.2 | 47.6 | 25.0 | 0 | 0.51 | 50.0 | 50.0 |
P. Herman
|
F | 4 | 7.8 | 5.0 | 2.5 | 0.5 | 0.2 | 0.0 | 0.2 | 3.2 | 4.8 | - | - | - | 76.9 | 0 | 0.0 | - | 74.4 | 76.9 |
J. Quintana
|
- | 4 | 20.5 | 3.8 | 3.5 | 2.2 | 0.5 | 0.0 | 0.8 | 4.8 | 4.5 | - | - | - | 26.3 | 50.0 | 0 | - | 39.5 | 39.5 |
D. Gipson
|
G | 4 | 8.0 | 2.0 | 1.5 | 1.2 | 0.5 | 0.2 | 0.5 | 2.5 | 2.5 | - | - | - | 30.0 | 0.0 | 66.7 | - | 35.3 | 30.0 |
E. Johansson
|
G | 3 | 9.0 | 1.0 | 0.7 | 1.3 | 0.0 | 0.0 | 0.3 | 2.0 | 0.7 | - | - | - | 16.7 | 25.0 | 0 | - | 25.0 | 25.0 |
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