Loyola Chicago Ramblers
2024 Team Stats (1 games)
69.0
PPG
98.0
Opp
-29.0
Margin
40.6%
FG%
37.1%
3P%
57.1%
FT%
27.0
RPG
16.0
APG
23.0
TO
90.1
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 → | 987 (#211) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1000 (#232) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.1 (#193) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.192 (#298) | - |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-21 | @ | Iowa Hawkeyes | L | 69 - 98 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Nolan
|
F | 1 | 17.0 | 15.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 10.0 | 6.0 | 3 | 0.5 | 1.1 | 50.0 | 42.9 | 50.0 | 0.08 | 63.8 | 65.0 |
S. Galanopoulos
|
G | 1 | 36.0 | 14.0 | 1.0 | 4.0 | 0.0 | 0.0 | 3.0 | 11.0 | 5.0 | -7 | -1.2 | -1.0 | 54.5 | 33.3 | 0 | -0.02 | 63.6 | 63.6 |
A. Fisher
|
G | 1 | 39.0 | 12.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 14.0 | 2.0 | 3 | 0.5 | 0.5 | 35.7 | 28.6 | 0 | 0.08 | 42.9 | 42.9 |
S. Nolan
|
F | 1 | 22.0 | 9.0 | 5.0 | 3.0 | 1.0 | 1.0 | 2.0 | 10.0 | 7.0 | -4 | -0.8 | -1.7 | 30.0 | 20.0 | 66.7 | 0.07 | 39.8 | 35.0 |
T. Hodge-Carr
|
G | 1 | 14.0 | 8.0 | 3.0 | 3.0 | 2.0 | 0.0 | 4.0 | 7.0 | 5.0 | - | - | - | 42.9 | 66.7 | 0 | -0.16 | 57.1 | 57.1 |
A. Deptula
|
G | 1 | 10.0 | 6.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | 3.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
A. Berg
|
G | 1 | 27.0 | 3.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 6.0 | -1.0 | 0 | 0.0 | 0.0 | 16.7 | 20.0 | 0 | 0.1 | 25.0 | 25.0 |
S. Tanin
|
F | 1 | 9.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 1.0 | 3.0 | -6 | -1.0 | -1.2 | 100.0 | 0 | 0 | 0.05 | 100.0 | 100.0 |
A. Moore
|
F | 1 | 13.0 | 0.0 | 3.0 | 1.0 | 1.0 | 0.0 | 2.0 | 3.0 | 0.0 | -22 | -4.4 | -1.8 | 0.0 | 0 | 0 | 0.94 | 0.0 | 0.0 |
K. Chivers
|
G | 1 | 10.0 | 0.0 | 0.0 | 3.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 20 | 2.9 | 5.5 | 0 | 0 | 0 | 0.32 | 0 | 0 |
M. Ramage
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | -11 | -2.2 | -9.6 | 0 | 0 | 0 | -0.24 | 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