Loyola Chicago Ramblers
2017 Team Stats (5 games)
42.6
PPG
78.4
Opp
-35.8
Margin
31.4%
FG%
23.7%
3P%
61.8%
FT%
28.8
RPG
8.6
APG
22.8
TO
76.7
Pace
Model Outputs
2016-2017
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 → | 911 (#506) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 967 (#322) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.0 (#293) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.186 (#329) | - |
2017 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2016-11-24 | @ | Clemson Tigers | L | 40 - 61 |
| 2016-12-06 | @ | Miami Hurricanes | L | 43 - 81 |
| 2016-12-18 | vs | DePaul Blue Demons | L | 46 - 107 |
| 2017-02-19 | vs | Drake Bulldogs | L | 42 - 86 |
| 2017-03-09 | @ | Bradley Braves | L | 42 - 57 |
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Coomber
|
F | 3 | 22.0 | 11.0 | 3.0 | 0.0 | 1.3 | 0.3 | 3.0 | 6.7 | 6.0 | - | - | - | 60.0 | 50.0 | 83.3 | - | 72.9 | 70.0 |
T. Wallace
|
G | 5 | 30.6 | 8.6 | 2.4 | 4.4 | 0.8 | 0.2 | 4.8 | 7.0 | 4.6 | - | - | - | 40.0 | 36.4 | 57.9 | - | 49.6 | 45.7 |
K. Salmon
|
G | 5 | 34.0 | 8.4 | 5.2 | 0.8 | 1.0 | 0.2 | 2.4 | 7.4 | 5.8 | - | - | - | 37.8 | 25.0 | 80.0 | - | 48.2 | 40.5 |
K. Williams
|
G | 5 | 32.4 | 5.4 | 2.2 | 0.6 | 0.8 | 0.0 | 2.4 | 9.4 | -2.8 | 5 | 5.0 | 162.2 | 21.3 | 18.8 | 50.0 | 0.88 | 28.2 | 27.7 |
C. Negatu
|
G | 5 | 26.0 | 4.0 | 3.2 | 1.0 | 0.8 | 0.2 | 4.4 | 4.4 | 0.4 | - | - | - | 27.3 | 12.5 | 63.6 | - | 37.3 | 29.5 |
B. Segars
|
G | 5 | 24.4 | 4.0 | 3.2 | 0.6 | 0.6 | 0.2 | 2.8 | 9.0 | -3.2 | - | - | - | 15.6 | 0.0 | 60.0 | - | 20.2 | 15.6 |
L. Segars
|
G | 3 | 24.3 | 3.0 | 2.3 | 1.3 | 1.3 | 0.0 | 3.7 | 3.3 | 1.0 | - | - | - | 30.0 | 33.3 | 50.0 | - | 38.3 | 35.0 |
L. Williams
|
G | 5 | 19.8 | 2.8 | 4.6 | 0.2 | 1.0 | 0.0 | 0.4 | 3.0 | 5.2 | - | - | - | 40.0 | 0 | 28.6 | 0.58 | 38.7 | 40.0 |
K. Mayers
|
F | 3 | 3.3 | 1.7 | 0.3 | 0.0 | 0.0 | 0.3 | 0.0 | 1.0 | 1.3 | - | - | - | 66.7 | 0 | 50.0 | - | 64.4 | 66.7 |
M. Williams
|
G | 2 | 7.5 | 0.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | 0.25 | 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