Cornell Big Red
2019 Team Stats (4 games)
45.8
PPG
67.2
Opp
-21.4
Margin
31.5%
FG%
28.6%
3P%
61.8%
FT%
34.3
RPG
9.8
APG
15.3
TO
77.0
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 → | 988 (#237) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 989 (#273) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.7 (#222) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.437 (#239) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-23 | @ | Minnesota Golden Gophers | L | 45 - 65 |
| 2018-11-25 | @ | Colorado State Rams | L | 53 - 56 |
| 2019-03-08 | @ | Harvard Crimson | L | 38 - 80 |
| 2019-03-16 | @ | Princeton Tigers | L | 47 - 68 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Bagwell-Katalinich
|
F | 4 | 26.0 | 10.2 | 8.2 | 0.8 | 1.0 | 0.2 | 1.8 | 14.2 | 4.5 | - | - | - | 29.8 | 0 | 87.5 | -0.34 | 33.9 | 29.8 |
S. Widmann
|
G | 4 | 29.5 | 7.2 | 4.5 | 1.5 | 1.0 | 0.0 | 1.8 | 9.0 | 3.5 | - | - | - | 33.3 | 0.0 | 35.7 | 1.36 | 34.4 | 33.3 |
S. Clement
|
G | 4 | 17.0 | 6.2 | 1.8 | 1.2 | 0.8 | 0.0 | 1.8 | 5.8 | 2.5 | - | - | - | 34.8 | 44.4 | 50.0 | 0.5 | 52.3 | 52.2 |
S. Will
|
G | 4 | 10.5 | 3.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.2 | 3.2 | 1.5 | - | - | - | 38.5 | 37.5 | 50.0 | -0.19 | 50.4 | 50.0 |
C. Smith
|
G | 4 | 22.5 | 3.2 | 2.2 | 0.8 | 0.5 | 0.2 | 2.5 | 4.5 | 0.0 | -53 | -2.8 | -14.2 | 33.3 | 10.0 | 0 | 2.28 | 36.1 | 36.1 |
K. Sramac
|
G | 4 | 13.0 | 2.8 | 1.5 | 0.8 | 0.2 | 0.0 | 1.2 | 2.8 | 1.2 | - | - | - | 27.3 | 40.0 | 100.0 | 0.76 | 44.6 | 36.4 |
H. Miklos
|
F | 4 | 17.8 | 2.8 | 3.0 | 0.2 | 0.2 | 0.2 | 0.8 | 5.5 | 0.2 | - | - | - | 18.2 | 0 | 75.0 | 1.33 | 23.1 | 18.2 |
D. Jorgenson
|
G | 4 | 26.5 | 2.5 | 1.2 | 3.0 | 1.2 | 0.2 | 1.5 | 4.0 | 2.8 | - | - | - | 25.0 | 28.6 | 0 | 1.28 | 31.2 | 31.2 |
D. Higgins
|
G | 4 | 10.2 | 2.0 | 0.8 | 0.5 | 0.2 | 0.0 | 0.8 | 2.5 | 0.2 | - | - | - | 40.0 | 0.0 | 0 | 0.45 | 40.0 | 40.0 |
S. Umeh
|
F | 3 | 7.7 | 2.0 | 1.3 | 0.0 | 0.3 | 0.3 | 0.7 | 2.3 | 1.0 | - | - | - | 42.9 | 0 | 0 | -0.47 | 42.9 | 42.9 |
A. Hoff
|
F | 4 | 3.0 | 1.5 | 1.2 | 0.0 | 0.0 | 0.2 | 0.2 | 0.8 | 2.0 | - | - | - | 100.0 | 0 | 0 | 0.79 | 100.0 | 100.0 |
E. Furey
|
F | 2 | 2.0 | 1.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
T. Mbanefo
|
F | 4 | 8.0 | 1.0 | 1.2 | 0.2 | 0.0 | 1.0 | 1.5 | 1.2 | 0.8 | - | - | - | 40.0 | 0 | 0 | 0.25 | 40.0 | 40.0 |
J. Willerson
|
F | 4 | 6.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 1.8 | -1.2 | - | - | - | 14.3 | 0 | 0 | -0.44 | 14.3 | 14.3 |
R. Olsen
|
F | 3 | 4.0 | 0.3 | 0.7 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 100.0 | - | 14.5 | 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